The most vulnerable country in 2050 may not be the poorest.

It may look perfectly normal.

It has thirty or forty million people. Apartment towers. Universities. Airports. Commercial banks. Hospitals. A national electricity grid. A professional military. Perhaps fifty expensive fighter aircraft and a few hundred armored vehicles.

Its citizens expect electricity around the clock, modern healthcare, pensions, safe cities, functioning infrastructure, and very few military casualties.

But the country imports its advanced semiconductors.

It rents much of its cloud infrastructure.

Its most capable AI systems come from foreign companies.

Its satellites are limited or foreign.

Its military software depends on somebody else’s technological ecosystem.

Its economy produces little at the global technological frontier.

It has accumulated nearly all the fixed costs of modern civilization without acquiring the rents generated by owning its most important technologies.

This may become an increasingly dangerous place to be.

For most of the twentieth century, we imagined economic development as a ladder:

village
→ infrastructure
→ industrialization
→ middle-income nation-state
→ advanced economy.

Technological progress may be turning that ladder into something closer to a barbell.

At the top, a small number of enormously capital-intensive technological systems could become richer, more integrated, more automated, and more capable of securing themselves than any societies in history.

At the other end, cheap technology could allow surprisingly small communities to provide much of ordinary civilization for themselves without reproducing the enormous centralized institutions that rich countries built during the twentieth century.

Between them sits the conventional modern state.

Too expensive to become primitive.

Too technologically dependent to become sovereign.

Too centralized to disappear.

And increasingly easy to see, disrupt, tax, coerce, or raid.

Fifty years of shrinking minimum scale

Something important happened during the last half-century that we rarely describe as one phenomenon.

The minimum efficient scale of technological capability collapsed.

Think about what an individual or small organization gained access to between 1975 and today.

Computation:

mainframe
→ personal computer
→ smartphone.

Communications:

national telephone company
→ internet
→ encrypted global communications.

Software:

giant proprietary systems
→ PCs
→ open source
→ cloud services.

Media:

television station
→ website
→ smartphone camera and global distribution.

Navigation:

military or professional surveying infrastructure
→ GPS in every phone.

Manufacturing:

industrial control systems
→ inexpensive sensors, microcontrollers, CNC machines, 3D printers.

Mechanical power:

large industrial machinery
→ cheap electric motors, battery tools, electric vehicles, drones.

Finance:

physical banking infrastructure
→ internet banking
→ mobile money
→ cryptocurrency and stablecoin networks.

Energy may now be going through the same transition.

For most of the industrial era, useful electricity implied an enormous centralized system:

generator
→ transmission network
→ substations
→ distribution grid
→ household.

Solar panels and batteries create a fundamentally different topology.

A household, farm, workshop, clinic, or village can increasingly produce meaningful electricity locally.

The World Bank estimates that off-grid solar could be the least-cost way to provide electricity to roughly 41% of the people who would otherwise remain without access by 2030. Off-grid systems already provided a majority of new electricity connections in sub-Saharan Africa during 2020–22.

The important point isn't that solar is environmentally friendly.

It is that electricity generation is becoming divisible.

That is politically consequential.

Silicon Valley was an early beneficiary

Much of what we call the internet startup revolution was really an economic consequence of declining minimum efficient scale.

A software entrepreneur in 1980 needed substantial capital merely to obtain computing resources.

A software entrepreneur in 2005 could buy a laptop.

By 2015, a tiny company could rent enormous computing infrastructure from Amazon or Google by the hour.

Software itself had almost zero marginal reproduction cost.

A handful of programmers could therefore create products serving millions of people.

This generated an explosion of bottom-up economic experimentation:

startups
independent developers
online commerce
freelance knowledge workers
small media companies
global software businesses.

But Silicon Valley was never actually independent of centralized civilization.

It sat on top of:

semiconductor fabs
universities
national research funding
venture capital markets
reliable electricity
property law
global finance
telecommunications infrastructure.

Centralized technological systems produced cheap tools that decentralized economic agency.

That relationship may now be entering a much more extreme phase.

The frontier is reconcentrating

While the outputs of technology become increasingly distributable, producing the frontier itself is becoming extraordinarily capital intensive.

Advanced semiconductor fabrication requires facilities costing tens of billions of dollars.

Frontier AI requires vast quantities of:

advanced chips
electricity
networking
data centers
specialized engineers
capital.

Satellite constellations require enormous launch, manufacturing, software, and ground infrastructure.

Advanced robotics increasingly depends on an entire ecosystem of:

models
sensors
precision manufacturing
batteries
semiconductors
industrial software.

The technological frontier is therefore moving upward in scale.

AI provides an unusually clean demonstration of both processes occurring simultaneously.

Stanford’s AI Index found that the cost of using AI at roughly GPT-3.5-level benchmark performance fell from about $20 per million tokens in late 2022 to $0.07 by late 2024—a decline of more than 280-fold in roughly eighteen months. Meanwhile, frontier training compute and energy requirements continued rising rapidly.

That is almost the entire thesis in miniature:

creating frontier intelligence becomes more centralized

while

using yesterday’s intelligence becomes radically cheaper.

The same pattern exists with solar panels.

Building the world's dominant photovoltaic manufacturing ecosystem requires gigantic industrial scale.

Using the resulting panel requires a roof.

The same pattern increasingly applies to chips:

creating the semiconductor requires an industrial civilization.

Using it may require a $200 device.

So technological concentration at the top does not imply technological helplessness at the bottom.

The opposite may happen.

The top becomes more powerful precisely by manufacturing increasingly capable tools cheaply enough for the bottom to use.

Civilization may have a much smaller minimum viable population

This leads to a strange question.

How many humans are actually required to sustain a reasonably advanced material life?

Not to manufacture everything.

To live well while remaining resilient.

Perhaps the interesting unit isn't a country of forty million.

Perhaps it is a community of ten thousand.

Imagine ten thousand people living in a town surrounded by productive farmland in 2050.

They do not attempt autarky.

They don't fabricate their own semiconductors or manufacture aircraft.

Instead, they localize things that are bulky, essential, or repeatedly consumed while importing things that are technologically complex but physically small.

That distinction matters enormously.

Energy

The community has:

rooftop solar
a larger community solar field
batteries
a local microgrid
perhaps hydro, wind, biomass, or some dispatchable backup.

Its critical facilities can operate even when the wider national grid fails.

Homes have electricity.

Workshops function.

Water pumps operate.

Food remains refrigerated.

Communications remain online.

The economic implication is much larger than merely lower electricity bills.

The community has eliminated one of the great dependencies of twentieth-century civilization:

the requirement that a distant national institution continuously operate an enormous synchronous machine for local life to function.

Food

Surrounding farmland provides much of the community's food.

But this is not subsistence agriculture.

Agriculture becomes increasingly mechanized and eventually partially autonomous:

electric tractors
automated irrigation
agricultural drones
machine-vision weed control
robotic equipment
AI agronomy
cold storage
local food processing.

A small percentage of the population can therefore feed everyone else.

The community still imports:

fertilizer inputs
replacement equipment
specialized seeds
electronics
machine components.

But interruption of international trade does not immediately mean starvation.

That distinction—between trade for optimization and trade for survival—may become strategically important.

Water

Water infrastructure can also become surprisingly local:

wells
reservoirs
filtration
rainwater collection
solar pumping
wastewater treatment.

This will vary radically by geography.

Ten thousand people in an arid desert face a completely different problem from ten thousand people beside abundant freshwater.

But again, the relevant technologies are becoming increasingly modular.

Housing and construction

This is where 3D printing fits—but probably in a less science-fictional way than “press a button and print a city.”

Current 3D concrete printing can automate meaningful portions of construction, and modular prefabricated printed structures are already being demonstrated. But the technology still relies heavily on conventional reinforcement, foundations, plumbing, electrical work, roofs, windows, finishing, and human quality control. Standards remain a major obstacle to widespread structural deployment.

The larger shift is therefore local digital fabrication:

automated concrete placement
prefabricated modules
CNC cutting
standardized components
AI-assisted design
local timber or earth construction
3D-printed fixtures and replacement parts
robotic excavation and material handling.

A community doesn't need to manufacture every construction material.

It needs enough local equipment and knowledge to convert:

concrete
wood
steel
glass
insulation

into buildings cheaply and repeatedly.

AI could make that easier by turning architectural, structural, electrical, and maintenance knowledge into widely available software assistance.

Construction remains physical.

But less specialized human knowledge may need to be permanently resident in the community.

Education

This is where AI could change geography much more profoundly.

Historically, advanced education generates enormous economies of scale.

A town of ten thousand cannot employ:

physics professor
Korean-language teacher
calculus specialist
programming instructor
mechanical engineer
historian
statistics professor
specialist tutor

for every conceivable subject.

A city of ten million can.

That is one reason knowledge economies concentrate geographically.

But suppose every student has a competent personalized AI tutor.

Then the school's scarce human resources shift toward:

childcare
motivation
supervision
physical education
group projects
socialization
mentoring.

The information layer becomes globally available.

The community may still need excellent teachers.

It no longer needs every possible specialist physically present.

That potentially lowers the minimum population required to offer sophisticated education by orders of magnitude.

Healthcare

Healthcare provides the harder version of the same argument.

A town of ten thousand will not support:

neurosurgery
transplant medicine
pediatric oncology
every surgical specialty.

But most healthcare isn't neurosurgery.

A local health system could plausibly combine:

physicians
nurses
laboratory technicians
pharmacists
AI-assisted diagnostics
imaging
ultrasound
remote consultation
automated medical records
emergency stabilization.

Rare conditions move outward to regional centers.

Routine medicine stays local.

That is already how many small communities work.

AI increases the range of expertise available to the people who remain physically present.

Again, the technology does not replace the human institution.

It raises the amount of civilization each skilled human can support.

Local production and repair

A resilient community would probably care much more about repair than modern consumer societies do.

Its industrial layer might include:

machine shop
welding
electronics repair
woodworking
CNC equipment
additive manufacturing
battery repair
vehicle maintenance
agricultural machinery repair.

This does not create an independent industrial economy.

It creates graceful degradation.

When an imported machine fails, the community has a meaningful probability of repairing or adapting it instead of becoming immediately dependent on the original manufacturer.

Local AI makes the repair shop more capable because technical documentation, diagnostics, programming help, and engineering assistance become cheap.

A capable mechanic with AI potentially substitutes for several narrower specialists.

Transportation

Inside the community:

electric motorcycles
bicycles
small EVs
agricultural vehicles
autonomous delivery systems

may be enough.

Between communities, one serious physical connection remains useful:

road
railway
river
coast.

And possibly a small airstrip.

I would not assume battery-electric aviation solves everything. Aircraft punish battery weight severely, and present electric-aviation research still concentrates heavily on short-range applications.

But the argument doesn't depend on batteries.

Whatever wins—

hybrid aircraft
synthetic fuel
hydrogen
electric short-haul aviation
conventional turboprops—

a small airstrip connects ten thousand people to the global high-complexity economy.

Aircraft are excellent for:

people
medicine
electronics
urgent machine parts.

They are terrible for:

cement
grain
fertilizer
steel.

So resilient communities still want one cheap bulk transport connection.

They just don't require a gigantic national transportation bureaucracy.

Finance becomes thinner too

A sophisticated local economy doesn't necessarily require a national branch-banking architecture.

Money could exist in multiple forms:

cash
conventional digital banking
mobile money
stablecoins
remittance networks
informal credit.

Bitcoin matters historically because it demonstrated that scarce digital assets can exist outside national monetary administration.

But stablecoins may be more consequential for ordinary communities.

A worker abroad can earn in a high-productivity economy and transfer purchasing power directly to a household thousands of kilometers away.

The household then buys:

solar equipment
machinery
smartphones
medicines
electronics.

A poor country's national financial system becomes less important as an intermediary between:

global productive economy

and

local household.

That is potentially a profound shift in development economics.

What actually needs to be imported?

Once you think this way, the list becomes surprisingly short.

A technologically capable ten-thousand-person community might locally provide most of its:

food
water
electricity
housing
basic construction
schooling
primary healthcare
transportation
childcare
elder care
ordinary security
repair
entertainment
local administration.

The imported layer is disproportionately composed of highly complex products:

semiconductors
computers
advanced batteries
pharmaceuticals
specialist machinery
medical equipment
precision bearings
some chemicals
vehicles
telecommunications equipment.

These represent enormous technological complexity but surprisingly little physical volume.

The community doesn't need a semiconductor fab.

It needs a shipment of chips.

It doesn't need an automobile industry.

It needs replacement vehicles every several years.

It doesn't need a pharmaceutical industry.

It needs reliable access to medicines.

The community therefore remains deeply connected to global civilization without reproducing global civilization locally.

That is not autarky.

It is low-fixed-cost civilization.

Premodern social scale, modern technological capability

Ten thousand is also interesting for another reason.

It is large enough for substantial specialization:

farmers
doctors
nurses
mechanics
electricians
builders
teachers
programmers
security personnel
shopkeepers
administrators.

But small enough that much of economic and social life can still operate through:

reputation
family
repeated interaction
religious institutions
local associations
community norms.

Modern industrial civilization replaced much of this with enormous anonymous institutions.

That trade made sense because technological sophistication required scale.

But what happens when sophisticated technology becomes usable at much smaller scales?

You could get something historically strange:

premodern social density + modern material capability.

The community does not have to recreate Sweden.

It doesn't need several layers of national bureaucracies simply to deliver electricity, knowledge, banking, media, and basic expertise.

The technological frontier increasingly arrives as products.

This is not necessarily a libertarian paradise

A thick local society has costs.

It may be:

religious
conformist
patriarchal
nepotistic
intolerant of unusual behavior
dominated by several powerful families.

There may be far less anonymity than in New York.

If your marriage collapses, everyone may know.

If your business reputation collapses, there may be nowhere else locally to go.

A strong community can protect individuals from state failure while simultaneously exerting intense social control.

So the argument is not:

decentralized society = freedom.

It is:

decentralized society can be robust.

Those are different things.

Why the bottom could become surprisingly stable

A coherent local society might actually avoid several pathologies of weak middle-income states.

Consider the struggle to control a conventional capital.

The national government controls:

electricity
television
banks
civil-service jobs
large infrastructure budgets
military procurement
international aid.

Winning national political power therefore offers enormous rents.

That encourages:

coups
patronage politics
ethnic winner-take-all competition
central corruption.

But imagine electricity is mostly local.

Economic support comes substantially from family businesses and diaspora networks.

Information travels through decentralized communications.

Education increasingly comes from global digital resources.

Local security is primarily local.

Now capturing the national capital gives you less.

Political competition can potentially become less existential.

There is less reason to fight over control of the national broadcaster if nobody needs it.

Less reason to capture the energy ministry if villages largely generate their own electricity.

Less reason to control every government job if the government isn't the dominant employer.

The state can become thin precisely because society has become thick.

That does not guarantee peace.

But it changes the economics of political control.

Violence changes rather than disappears

A distributed society may be difficult to conquer but it is not necessarily peaceful in the liberal Western sense.

Violence could become more localized:

family disputes
clan conflict
territorial feuds
contested trade corridors
protection payments
occasional raids
competition between networks.

The key distinction is that the violence may no longer require destroying the entire society.

The community's:

energy
food
housing
communications
productive life

do not depend on capturing one distant capital.

Peace can therefore be strong inside trusted communities while relations between communities become rougher.

That resembles much of premodern political history.

But with drones and smartphones.

The return of the raid

A low-fixed-cost society does not generate enormous technological rents.

It therefore has a different relationship with the wealthy external world.

Historically, frontier societies frequently interacted with richer settled societies through combinations of:

trade
migration
mercenary work
tribute
protection
raiding.

Modern raiding would not usually mean stealing machinery from a semiconductor fab.

A semiconductor fab is nearly useless without its engineers, chemicals, electricity, maintenance systems, and global suppliers.

The valuable target increasingly becomes the interface:

people
cargo
transit routes
resource sites
continuity of operation.

Economic extraction takes forms such as:

ransom
protection payments
tolls
extortion
resource rents.

Transnational criminal markets already demonstrate that organizations do not need one sovereign hierarchy to coordinate across countries.

Different networks can specialize in:

finance
logistics
local access
political protection
transportation.

The system behaves more like a market than an army.

The distributed political world may increasingly behave this way as well.

Humans remain important because physics remains important

This is where extremely rich technological societies and low-fixed-cost societies may diverge most sharply.

The technological top will increasingly substitute machines for human risk.

Its people become expensive.

A lost worker represents:

years of education
high lifetime earnings
political liability
insurance costs
pension commitments
enormous family investment.

A wealthy society will spend increasingly large amounts to prevent human exposure.

Robots inspect infrastructure.

Autonomous vehicles patrol.

Machines perform dangerous industrial work.

Military forces increasingly push sensors and weapons outward while humans remain farther away.

But robotics has a physical problem.

Software travels at approximately zero marginal cost.

Robots do not.

Robots have:

mass
batteries
moving parts
maintenance requirements
weather constraints
communications requirements.

They encounter:

mud
rocks
water
dust
trees
stairs
unpredictable humans.

Robotic logistics research still treats reliability, networking, contested environments, and physical integration as major constraints.

So even an extraordinarily advanced society may become capable of seeing much of the world without becoming capable of economically policing all of it.

Global eyes, local hands

This could define the high-tech political order.

Satellites watch huge areas.

AI continuously searches imagery.

Financial networks identify transactions.

Telecommunications reveal relationships.

Cyber systems operate globally.

Information becomes cheap to move.

Physical control remains expensive.

So the advanced technological civilization may eventually conclude:

We can see that territory.

We know roughly who controls it.

We know who trades with them.

We do not intend to govern it.

Its security policy turns inward.

Protect:

borders
ports
major cities
financial systems
citizens
strategic supply chains.

Make participation in domestic economic life increasingly authenticated.

Employment connects to verified identity.

Banking connects to identity.

Property ownership connects to identity.

Critical infrastructure connects to trusted hardware and software.

Robotics provides physical enforcement where the economics justify it.

The successful high-tech state becomes something like a fortress civilization.

Not necessarily authoritarian.

But highly legible.

The cost of living anonymously inside it rises dramatically.

The middle owns the targets

Now return to the perfectly normal country we started with.

It cannot operate like the local community.

Its population has been urbanized and socially atomized.

Millions depend on:

national electricity
commercial banking
centralized healthcare
formal employment
imported food systems
complex transportation.

Extended family structures may have weakened.

Local communities no longer provide most welfare or security.

People expect the state to work.

But the state cannot operate like the technological fortress either.

It doesn't own:

frontier AI
advanced semiconductor manufacturing
major satellite networks
globally competitive cloud infrastructure
robotic industrial ecosystems
advanced intelligence networks.

It imports them.

So it has inherited the cost structure of the top without acquiring the top's rents.

And it has abandoned much of the social resilience of the bottom.

This is the middle trap.

The middle receives invoices

The technological top earns rents from:

chips
models
cloud
finance
satellites
robotics
intellectual property.

The distributed bottom consumes their older outputs cheaply.

The middle purchases frontier capability at retail while maintaining an expensive twentieth-century society.

It needs:

universities
hospitals
pensions
bureaucracy
professional military
national grids
highways
banks
expensive cities.

It must also purchase:

chips
AI
cloud
weapons
industrial machinery
capital.

The top receives monopoly or oligopoly rents.

The bottom receives technological spillovers.

The middle receives invoices.

And then it has to defend everything those invoices paid for.

Russia and Ukraine show pieces of the problem

Russia and Ukraine are not pure examples of this future.

Russia has nuclear weapons, missiles, space capabilities, a substantial industrial base, and a serious military technology sector.

Ukraine has a highly innovative technology ecosystem supported by a functioning state and an enormous Western technological backend.

But their war illustrates an important feature of the middle-state problem.

They must defend:

cities
power generation
railways
factories
bridges
apartment buildings
telecommunications
recognizable territorial government.

Cheap precision systems make these assets increasingly targetable.

But neither society can simply abandon them.

The result is enormously expensive warfare in which technological adaptation can dramatically improve lethality without necessarily producing cheap political control.

Ukraine's direct physical reconstruction needs are already measured in hundreds of billions of dollars. The cost lies disproportionately in exactly the things a complex territorial state cannot simply abandon: housing, transport, energy, and other fixed infrastructure.

A decentralized community can lose a drone workshop and rebuild another.

A modern state cannot casually lose a power station serving two million people.

We have been here before

The industrial revolution created a surprisingly similar technological barbell.

At the top it created:

battleships
industrial artillery
railways
telegraphs
huge arsenals
modern state taxation.

The great powers weren't powerful merely because they owned guns.

They possessed entire industrial systems capable of:

producing weapons
moving armies
financing wars
replacing losses.

Some states tried to buy the outputs without reproducing the system.

Qing China purchased modern ships and weapons and built arsenals, but modernization remained institutionally fragmented.

The Ottoman Empire built substantial modern military capabilities but increasingly depended on European finance to fund them.

Several Latin American countries purchased world-class European warships despite lacking anything resembling Britain's underlying naval-industrial ecosystem.

Brazil could buy a dreadnought.

It could not buy the civilization that continuously produced dreadnought power.

That was one side of industrialization.

The other side was equally important.

Factories also produced enormous quantities of increasingly cheap:

rifles
ammunition
explosives
radios
trucks.

The minimum cost of organized resistance fell.

An anti-colonial movement did not need:

a battleship fleet
an aircraft industry
a giant steel sector.

It needed enough inexpensive technology and human organization to make foreign rule expensive.

The stronger side needed the capacity to impose continuous control.

The weaker side only needed enough capability to prevent control from becoming cheap.

That asymmetry helped transform twentieth-century politics.

AI and distributed energy may be creating the next version.

Development may no longer be a ladder

The twentieth-century development model assumed poor societies would gradually reproduce the infrastructure of wealthy ones.

Build the grid.

Build the university.

Build the banks.

Build the bureaucracy.

Build the highways.

Build the industrial base.

Urbanize.

Construct a large middle class.

Eventually become rich.

That pathway may no longer be the only technologically viable one.

A community could potentially move from:

weak state + low material capability

to:

weak state + surprisingly high local capability

without passing through every intermediate institution.

We've already seen narrow forms of this.

Some countries largely skipped universal landline networks and went directly to mobile phones.

Some communities may skip universal grid electricity and go toward distributed solar.

Finance can partially leapfrog bank branches.

AI may allow expertise to leapfrog large professional institutions.

Automated fabrication may allow portions of construction and manufacturing to leapfrog highly specialized labor systems.

These are not complete replacements.

But they don't need to be.

Each one removes another reason why ten thousand people require a state designed for forty million.

The changing minimum efficient scale of civilization

That may ultimately be the most important technological story here.

Industrial modernity increased the minimum efficient scale of sophisticated civilization.

You needed:

factories
grids
universities
bureaucracies
national transportation
large capital markets.

That favored enormous integrated states.

The technologies of the last fifty years have quietly begun reversing portions of that relationship.

Cheap computing reduces the scale required for information processing.

The internet reduces the scale required for communication.

AI reduces the scale required for expertise.

Solar reduces the scale required for electricity generation.

Batteries reduce the scale required for energy reliability.

Drones reduce the scale required for aerial capability.

Digital fabrication reduces the scale required for some manufacturing and construction.

Cryptographic networks reduce the scale required for trusted digital coordination.

None of these eliminates civilization's industrial core.

In fact, the industrial core becomes more concentrated than ever.

But fewer people need to live inside that core's organizational structure to consume what it produces.

That creates the strange possibility of two simultaneously successful worlds.

The fortress and the village

At one pole:

enormous capital
advanced AI
semiconductor fabs
satellites
robotics
integrated finance
highly legible citizens
low human exposure.

The society becomes extraordinarily productive and extraordinarily expensive.

At the other:

solar panels
batteries
cheap electronics
local AI
drones
family networks
community institutions
local agriculture
repairability
low fixed costs.

The society is much poorer.

But it may be surprisingly difficult to break.

One pole maximizes integration.

The other maximizes resilience.

And neither looks much like the ordinary twentieth-century nation-state.

The real losers may be the normal countries

I would not put precise probabilities on this world.

Nor will every rich country become a fortress, every poor community become resilient, or every middle-income country fail.

There is also a genuinely terrible fourth equilibrium:

weak state

• weak community
• cheap technology.

There, drones empower gangs.

AI helps scammers.

Solar powers armed compounds.

Communications make predatory organizations more capable.

Cheap technology does not create trust.

It amplifies whatever social structure already exists.

So the bottom itself bifurcates:

distributed resilience

versus

distributed predation.

But if even a substantial minority of lower-income societies achieve the first equilibrium, the conventional development hierarchy starts looking much stranger.

The richest societies become nearly impossible to penetrate because their entire domestic environment is technologically integrated.

The resilient local societies remain much poorer, but increasingly difficult to dominate because very little depends on a single vulnerable system.

The exposed middle gets neither advantage.

It has:

valuable citizens
expensive buildings
visible infrastructure
complex welfare obligations
sophisticated consumption expectations
imported technology
weak local resilience.

It is wealthy enough to possess targets.

Not wealthy enough to make those targets safe.

The future may be U-shaped

The usual assumption is that poor societies want to become middle-income societies and middle-income societies want to become rich.

Economically, that will remain true.

Politically and strategically, something more complicated may happen.

The stable equilibria could increasingly sit at opposite ends.

At the technological top:

enormous fixed investment
enormous upstream rents
machine coordination
domestic legibility
high individual value
low tolerance for physical risk.

At the resilient bottom:

low fixed costs
imported commodity technology
local energy
local food
human relationships
informal welfare
cheap machines
redundant institutions.

Between them:

centralized infrastructure
imported intelligence
expensive human capital
weak communities
high expectations
limited technological sovereignty.

The technological top owns the frontier.

The resilient bottom buys its discarded miracles cheaply.

The middle tries to reproduce the appearance of the top without owning the economics underneath it.

That may be the least sustainable position of all.

For fifty years, technology has lowered the minimum scale at which people can become productive.

The next fifty may lower the minimum scale at which people can sustain something approaching civilization.

If that happens, the nation-state will face pressure from both directions.

At the top, technological systems become larger than most countries can afford to reproduce.

At the bottom, communities become capable of doing more without their countries.

And the central political question of the twenty-first century may become unexpectedly simple:

How much state do ten thousand technologically equipped people actually need?

A useful starting point is Wheat Waffles’ 2022 video “40 Differences in Treatment Between a Sub5, Normie & Chad,” which has been viewed more than 1.1 million times.

The video divides men into three crude attractiveness categories and argues that each group experiences a meaningfully different dating market:

Chads — highly attractive men
Normies — ordinary-looking men
Sub-5s — clearly unattractive men

Wheat Waffles claims that, based on his own face-rating data:

9% of men are “Chads”
77% are “normies”
14% are “sub-5s”

These are not scientifically established population statistics. They come from a self-selected face-rating service, so the exact percentages should be treated skeptically.

But the model itself is interesting because it makes a stronger claim than “looks matter.”

It argues that men in these three groups experience different market regimes.

A Chad does not merely get somewhat better results.

Women sometimes approach him.

They make interactions easier.

They laugh at jokes that might not work for another man.

They find excuses to touch him.

He can supposedly use mediocre dating-app photos and still get matches.

He may obtain sex without first supplying commitment.

The video summarizes his position as:

women compete for his attention.

The normie experiences something else.

Women generally treat him neutrally at first.

He gets rejected frequently.

He needs better photos.

Social skill matters.

Fitness matters.

Shared interests matter.

“Game” matters.

Warm introductions work better than cold ones.

He may need to provide commitment before obtaining the same sexual access a much more attractive man receives easily.

The video summarizes his position as:

he competes with other men for women.

And then there is the “sub-5.”

In the video’s harshest formulation, even improvement has low returns.

Confidence may be read as arrogance.

Flirting can become creepy.

The gym is interpreted as compensation.

Dating apps produce essentially nothing.

The video claims that these men are effectively excluded from much of the market.

Its summary is:

they compete merely to participate.

Again, this is deliberately exaggerated internet language, not a scientifically demonstrated caste system.

But strip away the terminology and there is a serious underlying question:

What happens when a market maximizes individual freedom and exit, but bargaining power is distributed very unequally?

That question applies surprisingly well to both employment and dating.

And the labor market provides a useful analogy.

There are two genuinely good positions in a free labor market

Suppose you live in a country where employers can terminate workers relatively easily.

There are still two ways to feel economically secure.

The first is individual market power.

You are highly demanded.

Recruiters contact you.

Several companies would hire you.

You can negotiate compensation.

You can reject bad managers.

If your employer fires you tomorrow, it is unpleasant, but you are not terrified that you will spend the next twelve months sending out 400 applications.

Your employer has an exit option.

But so do you.

You have leverage because your outside option is strong.

The second good position is institutional protection.

Maybe you have tenure.

Maybe you work in a strongly unionized sector.

Maybe employment law makes dismissal difficult.

Maybe termination requires cause, notice, severance, arbitration, seniority rules, or collective bargaining.

You personally may not be exceptional.

But you don't need to be.

The institution gives ordinary workers bargaining power they could never obtain individually.

These are two very different forms of security:

Market security: “You can fire me. Someone else wants me.”
Institutional security: “You cannot cheaply fire me in the first place.”

Either can work.

The terrible position is having neither.

The employee with neither protection nor demand

Imagine a respectable middle-class professional.

He has a degree.

He has seven years of experience.

He is competent.

But his labor market is oversupplied.

His employer can eliminate his job next week.

And if that happens, a comparable replacement could take six to twelve months.

He applies to hundreds of positions.

Most never respond.

A few send automated rejections.

He gets several interviews.

One company puts him through five rounds and chooses somebody else.

Eventually he gets another job.

Then the whole risk resets.

What advice does this person usually receive?

learn another technical skill
become better at Excel
learn to code
get a certification
improve communication
network more
accumulate another three years of experience.

All of these things may improve employability.

But notice what they do not provide.

They do not provide structural security.

An additional certification might increase the probability of getting an interview from 4% to 6%.

That is useful.

But the worker is still living in a market where:

his employer can terminate him easily
replacement employment is difficult to obtain.

The underlying power relationship hasn't changed much.

This is why “be indispensable” is not actually the same thing as job security.

An employee can know every internal system.

His coworkers can depend on him.

Management can like him.

He can work extremely hard.

Those things reduce the probability that the company fires him.

They do not remove the company's ability to do it.

And if being fired would be catastrophic, that changes his behavior long before anyone actually fires him.

He becomes cautious.

Don't antagonize management.

Keep delivering.

Keep learning.

Stay useful.

Avoid negotiating too aggressively.

Do not become expensive.

Do not let your performance slip.

This may look like psychological insecurity.

But some of it is simply rational bargaining behavior.

If one side can terminate the relationship relatively cheaply and the other side needs twelve months to recover, they do not have equal leverage.

Now apply the same framework to dating

Modern relationships increasingly maximize individual choice.

You can date whom you want.

You can reject whom you want.

You can leave a boyfriend or girlfriend.

And modern marriage, despite legal obligations around property, children and support, generally cannot compel somebody to continue being romantically attached to you.

That is an enormous expansion of individual freedom.

But free exit has distributional consequences.

The employment market has two ways to protect a weak participant:

high market demand
or institutional protection.

Modern dating retains the first.

It has largely weakened the second.

There is no romantic labor union.

There is no collective bargaining agreement governing affection.

No government can appropriately order someone:

“You must continue loving this person.”

So at the most fundamental level, the contemporary relationship operates under something close to:

continued participation by mutual consent.

Either side can leave.

That makes the quality of your outside option extremely important.

And now the Chad/normie/sub-5 distinction starts looking less like internet slang and more like a crude theory of bargaining power.

Chad: the worker recruiters are fighting over

The Chad is analogous to the highly demanded professional.

His biggest advantage isn't merely that he gets more matches.

It is that losing one relationship does not threaten his access to the entire romantic market.

If a girlfriend leaves him:

other women are interested
he gets inbound attention
dating apps work
approaching works
casual opportunities exist
rebuilding may be relatively quick.

So his internal negotiating position is fundamentally different.

He can credibly say:

“I want this relationship, but I do not need this relationship at any cost.”

That doesn't mean he is emotionally indifferent.

A billionaire can love a company he owns.

A star employee can genuinely care about his job.

The point is that loss is survivable.

That creates optionality.

And optionality creates leverage.

The video actually captures this repeatedly.

It claims women may:

approach attractive men
initiate touch
laugh more readily
tolerate weak photos
accept casual arrangements
become frustrated when he does not text back
compete for his attention.

If even part of that is directionally true, the important implication isn't simply:

Chad gets more sex.

It's:

Chad operates on the choosing side of the market.

He is the scarce worker.

Normie: employed, but structurally insecure

The normie occupies a stranger position.

He is viable.

He can date.

He can marry.

He is not excluded.

But according to the video's model, his success depends much more on what he adds to his baseline appearance.

Fitness.

Career.

Humor.

Social competence.

Good photographs.

Style.

Confidence.

Shared interests.

Persistence.

Timing.

Commitment.

The video repeatedly contrasts the normie with the Chad this way.

The Chad can allegedly post a bad mirror selfie and still get results.

The normie needs strong photos.

The Chad can attract women largely through appearance.

The normie needs “a few other things going for him.”

The Chad may not need “game.”

The normie benefits substantially from learning it.

The Chad sometimes receives female pursuit.

The normie generally has to initiate.

This means the normie resembles the competent middle-class employee.

He can obtain the position.

But he has to compete hard for it.

And losing it may be expensive.

Suppose an ordinary man spends a year dating before finding a woman he genuinely wants.

He initiates dozens of conversations.

He goes through rejections.

He plans dates.

He develops the relationship.

Eventually they become exclusive.

Now compare their outside options.

If the relationship ends, perhaps rebuilding something comparable takes him another year.

Maybe longer.

He therefore has a powerful incentive to retain the relationship.

This produces advice that sounds remarkably similar to employment advice:

stay attractive
keep earning
maintain confidence
remain interesting
don't become complacent
keep dating your wife
keep improving yourself.

Again, none of this is necessarily bad advice.

The problem is what kind of advice it is.

It is the romantic equivalent of:

keep improving your professional skills so your employer continues to value you.

That lowers termination risk.

It does not eliminate structural vulnerability.

If your outside option remains poor, you are still highly exposed to unilateral exit.

Sub-5: the worker in a collapsed labor market

The video's most controversial category is the “sub-5.”

Its claim isn't merely that unattractive men have worse outcomes.

It claims their return on investment collapses.

Going to the gym has little impact.

Confidence is reinterpreted negatively.

“Game” barely works.

Dating apps produce almost no legitimate matches.

Cold approaches fail.

Warm approaches fail.

Money may buy access but not the same underlying desire.

That is an extremely strong claim, and I do not think the evidence establishes such a hard threshold.

But economically, the model is easy to understand.

Imagine someone living in a region where demand for his occupation has collapsed.

People tell him:

improve your résumé.

He does.

get another certificate.

He does.

learn another software tool.

He does.

become more confident in interviews.

He does.

But there are still 800 applicants for every decent job.

At some point, marginal improvement is no longer the obvious strategy.

The rational question becomes:

Why am I continuing to optimize inside this market?

And that leads to a very different set of options.

Self-improvement is not the same thing as structural security

This distinction matters.

If you're poorly positioned in the labor market, learning Excel may help.

But there are larger strategies:

move to another city
move to another country
change industries
enter a protected profession
retrain into a scarce occupation
leave the labor market and organize your life differently.

Dating has analogous strategies.

“Gymmaxxing” is basically human-capital investment.

So is earning more.

So is becoming more socially skilled.

These may improve your rank.

But if you're still in a market where your bargaining power remains low, they haven't changed the structure.

A man can add fifteen pounds of muscle and still have weak outside options.

A man can increase his income from $80,000 to $150,000 and still discover that highly attractive men receive spontaneous desire that money does not replicate.

There is no obvious salary where:

$X income = Chad.

And if an ordinary man needs top-one-percent income merely to approach the negotiating position an attractive man received genetically, that itself demonstrates the imbalance.

Strategy one: become genuinely scarce

The cleanest solution is obvious.

Become the romantic equivalent of a highly recruited employee.

Become sufficiently desirable that women compete for access to you.

That maximizes individual optionality.

You no longer need institutional protection because you can afford termination.

But this solution has the same problem as telling every worker:

become a world-class machine-learning engineer.

It cannot be population-wide advice.

Scarcity is relative.

Everyone cannot simultaneously occupy the top 10%.

Strategy two: move markets

This is where geography becomes much more interesting than generic self-improvement.

Suppose a man is mediocre in Toronto.

There are thousands of similar men.

His ethnicity is ordinary.

His profession is ordinary.

The sex ratio isn't favorable.

Women with his preferred characteristics receive enormous attention.

Now put exactly the same man somewhere else.

Perhaps:

his nationality is rare
his education carries more status
his income is unusually high locally
his appearance fits local preferences better
the sex ratio is more favorable
competing men are fewer.

He hasn't changed.

His relative market position has.

This is geomaxxing in its most economically coherent form.

It is exactly like moving from a city where 5,000 programmers compete for 100 openings to one where companies are desperate for programmers.

You do not need to become globally elite.

You need to become relatively scarce in your actual market.

In that sense, the objective is to become locally Chad-like.

Strategy three: reintroduce institutional protection

There is another possibility that modern dating discussions often ignore:

religious or tightly embedded communities.

Religion can function, imperfectly, like a labor institution.

Not because it legally traps anybody in marriage.

Modern personal autonomy prevents a true romantic equivalent of employment tenure.

But embedded communities can still create:

mediated introductions
family involvement
strong norms around fidelity
reputational consequences for cheating
expectations that marriage survives temporary dissatisfaction
community mediation during conflict
pressure against opportunistic exit.

That changes the relationship from a completely isolated bilateral market transaction.

There are third parties.

There are norms.

There is an institution.

The analogy isn't perfect, but it is considerably closer to:

union + professional guild + mediation mechanism

than to Tinder.

This is why simply dating someone who checks “Christian” or “Jewish” on an app is not the same thing.

The protection comes from actual embeddedness.

If neither partner participates in the institution, there is nothing to enforce the norm.

Strategy four: deliberately choose a market where you are on the strong side

There is another uncomfortable possibility.

Instead of maximizing the quality of the partner you can barely obtain, choose within a pool where you are highly demanded.

The employment analogy is straightforward.

Suppose you can barely get a $200,000 position where every employer has twenty equally qualified replacements.

Or you can take a $150,000 role in a market where five companies desperately want your skills.

The first maximizes headline compensation.

The second may maximize bargaining power.

Dating has a similar frontier.

A man can continually pursue the most attractive women who will occasionally accept him.

That may place him at the bottom of their feasible choice set.

Or he can select somewhat differently and become unusually desirable within that pool.

This doesn't mean dating someone you find unattractive.

That creates a different problem.

It means recognizing that:

maximum obtainable partner quality and maximum relationship security are not necessarily the same optimization target.

Strategy five: exit

And there is one solution both labor-market and dating discussions routinely underweight.

Stop participating.

When a region has terrible employment prospects, not everyone becomes a software engineer or emigrates.

Some people reduce career ambition.

They live with family.

They take low-paying but abundant work.

They organize life around children, parents, church, community, hobbies, or leisure.

They effectively decide:

the career market isn't where I'm going to compete for status.

There is a romantic equivalent.

If someone concludes:

courtship requires too much effort
his outside options remain weak
relationship termination would be extremely costly
he dislikes the bargaining structure
changing geography or institutions isn't attractive

then one coherent response is:

stop organizing adulthood around obtaining a relationship.

Keep friends.

Keep family.

Build a business.

Become excellent at a craft.

Travel.

Compete professionally.

Play sports.

Create things.

Mentor younger people.

Build wealth.

Develop intellectual interests.

This is not the comforting advice:

“Stop looking and love will find you.”

For an ordinary man with little inbound attention, that may simply mean nobody comes.

True exit requires accepting that possibility.

It means:

I may not have a long-term romantic relationship, and I am deliberately choosing the alternative allocation of my life anyway.

That is a real compromise.

But staying in a market where you dislike the terms is also a compromise.

Free markets maximize choice. They do not maximize security.

That is the larger point.

Liberal societies place enormous value on individual optionality.

Employers can change employees.

Employees can quit employers.

People can choose partners.

People can leave partners.

This produces freedom.

But the value of freedom depends partly on your bargaining position.

For the highly demanded worker:

freedom is leverage.

For the worker nobody else wants:

freedom mostly means the employer is free to replace him.

The same formal rule creates radically different lived experiences.

That may also be true in dating.

For the Chad:

“Either of us can leave”

can feel liberating.

He has alternatives.

For the normie:

“Either of us can leave”

may feel considerably more precarious because rebuilding the relationship could require another long cycle of rejection, courtship and search.

And for someone at the bottom of the market, the loss may feel potentially irreversible.

This suggests that much mainstream relationship advice answers the wrong question.

It asks:

How can you become a better partner so that your relationship succeeds?

That is equivalent to asking:

How can you become such a good employee that your company doesn't fire you?

Useful question.

But not the only one.

The structural questions are different:

How strong is my outside option?
Am I in the right market?
Can I enter a market where I'm relatively scarce?
Is there an institution that meaningfully protects commitment?
Am I maximizing partner quality at the expense of bargaining security?
And if I dislike all available versions of this market, should I participate at all?

Those are less romantic questions.

But they may be more honest ones.

Volkswagen is considering a restructuring that could ultimately eliminate as many as 100,000 positions. Roughly 50,000 reductions have already been agreed across the group, while CEO Oliver Blume says another roughly 50,000 may be required to bring Volkswagen’s cost structure closer to competitors. The additional figure is not yet a formal headcount target; Blume describes it as a benchmark for the scale of savings required. VW says its overhead costs remain more than 30% above comparable rivals.

Reuters — VW weighs up to 100,000 job cuts, four plant closures in biggest overhaul yet

That is an extraordinary number.

Volkswagen employed 662,942 people worldwide at the end of 2025, including its Chinese joint ventures. About 284,000 worked in Germany. So 100,000 positions would correspond to roughly 15% of the company’s global workforce.

It is tempting to read this simply as a Volkswagen story:

VW was too bureaucratic.
It was slow on electric vehicles.
Chinese EV makers got better.
Trump imposed tariffs.
Therefore VW needs layoffs.

All of those things matter.

But I think the more interesting interpretation is broader.

Volkswagen may be one of the first places where the economics of the post-Cold War European industrial system are being visibly repriced.

And to understand why, the wrong comparison is:

Germany vs. China.

The better comparison is:

the Germany-centered European supply chain vs. the Chinese supply chain.

Those are the actual competing industrial organisms.

Germany never competed with China using German workers alone

Imagine Germany around 2005–2015.

A German automaker could combine:

• German engineering
• German machine tools
• German management and capital
• Czech assembly
• Polish components
• Hungarian engines and electronics
• Slovak production
• relatively cheap Russian energy
• frictionless access to a huge European market.

That was an extremely powerful arrangement.

Germany itself was expensive, but the production system surrounding Germany was not.

The fall of communism, followed by EU enlargement, effectively gave German industry access to a large nearby labor reservoir that was:

geographically close,
increasingly skilled,
politically stable,
integrated into the EU market,
and dramatically cheaper than German labor.

Volkswagen’s own employment map illustrates how integrated this became. At the end of 2025 VW employed about:

• 36,800 people in Czechia
• 20,100 in Poland
• 12,300 in Hungary
• 12,000 in Slovakia

in addition to its enormous German workforce.

This was not just Volkswagen outsourcing.

The entire Central European auto ecosystem developed around the same logic.

So Germany’s true competitive unit was something closer to:

German industrial core + lower-cost Central European manufacturing hinterland.

In that sense, the EU created a partial equivalent to what China already possessed inside one country.

China’s low-cost hinterland was its own countryside

China’s version was much larger.

The classic image of Chinese industrialization is a factory in Shenzhen or Dongguan full of workers.

But those workers did not originally come from Shenzhen.

For decades, China could draw workers out of poorer rural and inland areas and move them into industrial clusters along the coast.

The hukou system, the enormous rural-urban income gap and China’s sheer population created an industrial labor reservoir on a scale Europe never approached.

Even in 2025, after decades of urbanization, China still counted 301.15 million rural migrant workers.

Of those, 28.2% worked in manufacturing.

That implies roughly 85 million migrant manufacturing workers alone.

Think about that number for a moment.

That is not China's entire manufacturing workforce.

It is just the migrant-worker component.

China's total population was still 1.405 billion at the end of 2025, with about 851 million people aged 16–59. Some 451 million residents were still classified as rural.

The EU, by comparison, had 452 million people at the beginning of 2026.

So China's total population is a little more than three times larger.

But the deeper difference historically was not merely population.

It was the ability to keep pulling lower-income workers into more productive industrial employment.

Europe had a smaller version:

Germany → Czechia / Poland / Slovakia / Hungary.

China had:

Shanghai / Guangdong / Zhejiang / Jiangsu
← workers from Henan / Anhui / Sichuan / Hunan / Guangxi / inland China.

And as coastal wages rose, production could itself move inland.

In other words:

Europe internationalized its low-cost hinterland. China internalized it.

That distinction matters.

The Czech and Polish workers are no longer that cheap

The European model worked beautifully partly because the wage gap was enormous.

But successful convergence eventually destroys labor arbitrage.

In 2025, manufacturing labor costs per hour were approximately:

Those are still enormous discounts relative to Germany.

A Polish manufacturing worker does not suddenly cost as much as a German one.

But Poland at €17/hour is very different economically from the Poland that entered the EU in 2004.

Likewise Czechia.

Likewise Slovakia.

Likewise Hungary.

This is not a policy failure on their part. It is what successful development looks like:

foreign investment
→ factories
→ productivity
→ skills
→ tighter labor market
→ higher wages.

But from Germany’s perspective, one of its industrial shock absorbers is gradually disappearing.

The old system was:

expensive Germany + very cheap Eastern Europe.

Increasingly it is:

very expensive Germany + medium-cost Eastern Europe.

That is a much less compelling cost structure against Asia.

Compare that with the Chinese factory labor base

China is no longer the ultra-cheap country of 2002 either.

Chinese wages have risen enormously.

But they remain much lower than Central European industrial labor costs.

China's National Bureau of Statistics says rural migrant workers employed in manufacturing earned an average 5,126 yuan per month in 2025.

JETRO’s 2025 survey of Japanese companies in Asia found an average monthly base salary of about $629 for a regular manufacturing worker in China with three years of experience.

Those figures should not be mechanically compared with the European €15–€20-per-hour figures.

The European number is total employer labor cost per hour, including non-wage costs. The Chinese figures are worker income/base salary. Different surveys cover different workers, locations and benefits.

So saying:

“China costs exactly one-quarter of Poland”

would be false precision.

But the direction and order of magnitude are difficult to miss.

The European automotive system is attempting to retain mass industrial production using labor that costs:

roughly €15–€20 an hour even in its lower-cost core production countries,

while Chinese factories still have access to huge pools of workers whose direct wages remain only a fraction of that.

And there is another difference.

Chinese official statistics reported enterprise employees working around 48.6 hours per week on average in 2025. Again, this is not perfectly comparable internationally, but it gives some idea of the labor-input environment.

Europe has moved in essentially the opposite direction for decades.

This is where Europe’s demographics become more dangerous

Both China and Europe are aging.

China's population is already shrinking.

So it would be wrong to tell a simple story in which:

young China defeats old Europe.

China is not young anymore.

In 2025, 23% of China's population was already 60 or older.

But the two regions entered aging with very different industrial structures.

Europe has combined:

aging

• unusually low working hours
• very high labor costs
• an Eastern European labor pool rapidly converging toward Western wages.

China has:

aging

• substantially longer working hours
• much lower factory wages
• a vastly larger remaining workforce
• massive internal migration infrastructure
• deeper manufacturing clusters.

China therefore has demographic problems without yet having European labor economics.

That distinction matters.

China's cheap-labor advantage is eroding.

Europe's eroded earlier.

The supply chain itself is the advantage

The wage comparison also misses the most important part of China's advantage.

A Chinese automaker does not simply hire a cheaper assembly worker.

It operates inside an ecosystem containing:

batteries
electric motors
power electronics
displays
semiconductors
castings
steel
chemicals
machine tools
tooling
logistics
software engineers
component suppliers

at enormous scale and often within a few hours of one another.

So the competition is not:

€49 German worker versus ¥5,126 Chinese worker.

It is:

European system cost per competitive vehicle versus Chinese system cost per competitive vehicle.

That is much harder for Europe to solve.

Europe built an impressive continental supply chain of its own.

Germany was the high-value hub.

Czechia, Slovakia, Poland and Hungary supplied lower-cost manufacturing.

France, Italy, Spain, Austria and northern Italy added additional engineering, components and production depth.

For a period, Europe had something resembling a 450-million-person integrated factory.

But China built the same concept with 1.4 billion people, one national government, one internal market and much greater industrial density.

That difference becomes increasingly important as European labor costs converge upward.

Energy makes the comparison worse — although China is not energy independent

Europe and China are both large energy importers.

But their situations are not symmetrical.

The EU imported a net 57% of its energy needs in 2024. Germany's dependency was about 67%.

China imports enormous quantities of oil and gas too.

But China also produced about 4.73 billion tonnes of coal in 2025. The IEA explicitly describes domestic coal production as a cornerstone of China's energy security. China is simultaneously building solar, wind, nuclear and power infrastructure at enormous scale.

Germany's old model was unusually elegant:

cheap Russian energy

• cheap Central European labor
• German technology
• Chinese demand.

Look at what has happened to each component.

Cheap Russian energy:

largely gone.

Cheap Central European labor:

progressively less cheap.

Chinese demand:

increasingly replaced by Chinese competition.

German technology:

still excellent, but no longer uniquely ahead in automobiles.

That is the context in which Volkswagen is discussing 100,000 positions.

This is why the VW story feels sudden even though it isn't

Structural problems often appear all at once because firms can live with them for years.

Suppose a German factory was built in 2008.

The capital is already sunk.

Workers are already trained.

Suppliers already exist.

China is buying cars.

Energy is cheap.

Even if demographic projections look terrible for 2035, closing the factory today makes no sense.

Then fifteen years pass.

Now management has to decide whether to invest billions in the next generation of that plant.

At precisely that moment:

China becomes a competitor.
European volumes weaken.
electricity and gas remain expensive.
Central European wages have risen.
EV architecture requires fewer mechanical components.
tariffs make exports harder.
the workforce is aging.

Suddenly the calculation changes.

The factory did not become uneconomic overnight.

The option to postpone confronting its economics expired.

That is why restructuring tends to arrive as a flood.

Germany may be entering its Japan phase — but Europe is the better comparison with China

There is an obvious Japan analogy.

Japan in the 1990s entered aging with:

high wages
world-class manufacturing
excess industrial capacity
mature domestic demand.

Over the following decades, Japanese firms closed plants, automated, moved production abroad and specialized more heavily in areas where accumulated industrial know-how remained valuable.

Japan remained an industrial power.

But it employed far fewer people producing ordinary manufactured goods domestically.

Germany may be approaching something similar.

BMW, Mercedes, Siemens, BASF, Porsche and VW do not need to disappear for German industrial employment to fall substantially.

Japan demonstrates that distinction very clearly.

But Japan is no longer the right comparison with China.

Modern Japan increasingly resembles a giant high-value industrial node embedded inside the broader Asian production system.

It supplies sophisticated:

machinery
vehicles
components
materials
robotics
specialty chemicals

into much larger markets around it.

In that sense, Japan is closer to a very large, unusually industrial version of Switzerland than to China.

The more interesting macro comparison is:

China's continental manufacturing system

versus

Europe's continental manufacturing system, historically organized around Germany.

And on that comparison, Europe has a problem.

Europe's low-cost hinterland got rich

Perhaps the simplest way to describe the entire story is this.

Europe once had:

Germany + its own emerging-market manufacturing zone.

China had:

coastal China + its own enormous emerging-market countryside.

Both systems used lower-cost workers to support higher-value industrial centers.

Both are aging.

Both are seeing their poorer regions converge.

But China's labor reservoir was dramatically larger, its internal market is dramatically larger, and its supply-chain density has become much deeper.

The Czech Republic becoming richer is good news for Czech citizens.

Poland becoming richer is good news for Poland.

But economically, it means those countries progressively stop playing the role they played for German manufacturers in the 2000s.

Eventually the question becomes:

If German labor costs €50 an hour, Czech labor costs €20, Polish labor costs €17, and Chinese factories can combine much cheaper labor with equally sophisticated batteries, electronics and increasingly strong engineering, what exactly is Europe charging the premium for?

There are good answers.

Europe still has exceptional brands, engineering, machinery, industrial know-how and research capabilities.

But the answer can no longer simply be:

because German industry is technologically superior.

That assumption is what China has spent the last twenty years attacking.

Volkswagen's proposed restructuring is therefore more than a corporate layoff story.

It may be an early sign that Europe is finally being forced to answer a question it could postpone during the golden years of globalization:

How much mass manufacturing can a high-wage, low-hours, aging continent sustain once its low-cost neighbors are no longer very cheap and its largest former customer has become its largest industrial competitor?

A 100,000-job restructuring at Volkswagen would be one answer.

Probably not the last one.

Why some of the people best equipped to build the next world can look strangely unimpressive while the current one is still winning.

There is a familiar way to become elite.

Pick a difficult field. Enter a selective institution. Survive increasingly competitive filters. Accumulate responsibility. Allow the institution to certify your progress.

The sequence might be:

analyst → manager → partner

or:

engineer → senior engineer → staff → principal

or:

PhD → research scientist → lab leader

By the time someone reaches 35 or 40, the record is easy to read.

The institution has done the accounting.

It tells the world:

This person passed our filters.
This person became more valuable.
This person belongs here.

There is another kind of person whose development is much harder to see.

He may start companies, learn software, work as an engineer, enter unfamiliar industries, move between countries, study markets, follow new technologies, abandon projects that stop making sense and repeatedly question which game is worth playing in the first place.

From the outside, this can look much worse.

The conventional professional appears to be compounding.

The other person appears to keep starting over.

For much of my adult life, I assumed the difference was simple:

they specialized; I explored.

I no longer think that is the right distinction.

The deeper difference is that one person's exploration happens inside a system that knows how to credential it.

The other's may not.

And that matters because institutions do much more than train people.

They make accumulation visible.

Institutions explore too

The conventional specialist is often not narrow at all.

A corporate lawyer might work across M&A, governance, employment, regulation and international transactions.

A management consultant can move from fisheries to housing to pharmaceuticals to banking to energy.

An engineer at a frontier technology company might work on infrastructure, models, robotics, hardware and product.

These are broad intellectual careers.

The difference is that their breadth takes place inside a stable coordinate system.

The lawyer continues practicing law.

The consultant continues solving business problems.

The researcher continues operating inside a recognized scientific frontier.

A large institution effectively makes an extraordinary offer:

Explore widely. We will preserve the continuity.

The McKinsey consultant who moves from airlines to semiconductors does not become an amateur every six months.

Every project adds to the same ledger:

experience, compensation, colleagues, clients, promotion, reputation and the McKinsey credential itself.

The researcher can radically change research questions while retaining the laboratory, peer network, publication system, equipment and professional identity underneath him.

The lawyer moves among cases while accumulating years at the firm.

Institutions subsidize exploration.

More importantly, they certify that the exploration counted.

Independent careers have no equivalent accounting system.

If I build one company, teach myself a new technology, enter another market and later decide that a more important technological transition is happening somewhere else, much of the previous accumulation may become illegible.

I might not actually have returned to zero.

But there is no institution standing behind me telling everyone that I have advanced from Level 6 to Level 7.

To an outsider, the trajectory may simply look incoherent.

That difference is easy to mistake for a difference in ability.

There are two levels at which a person can explore

The usual distinction between “generalist” and “specialist” misses something important.

A more useful distinction is between exploring within a game and exploring which game should exist.

The first is within-paradigm exploration.

The lawyer asks:

Which legal problem should I solve?

The consultant asks:

Which business problem should I solve?

The machine-learning researcher asks:

Which problem on the frontier of machine learning should I attack?

These can be extraordinarily difficult questions.

But the basic coordinate system has already been supplied.

Paradigm exploration asks something more destabilizing:

Which game is worth playing at all?

Should the important company be in software, media, robotics, finance or manufacturing?

Is value going to accrue at the model layer, the application layer, infrastructure or some layer that does not yet have a name?

Should an organization employ 10,000 people or 500 people plus autonomous systems?

Is an existing industry worth optimizing, or is the important opportunity to replace its architecture entirely?

Should I optimize for an established domestic market or build something global from the beginning?

Those questions are much harder to credential.

There may be no exam.

There may be no promotion.

There may not even be an accepted vocabulary for describing the problem yet.

Sometimes this kind of thinking produces a new industry.

Sometimes it produces a smart person who spends 15 years being interested in things.

At year ten, those two people can look remarkably similar.

That uncertainty is real.

The elite are not always legible before they win

There is a powerful hindsight effect in how we tell stories about consequential people.

Once someone succeeds, the past reorganizes itself.

The failed project becomes “an important learning experience.”

The strange job becomes “where he acquired a crucial skill.”

The unrelated interest becomes “the source of an interdisciplinary breakthrough.”

The years of ambiguity become “preparation.”

If the same person never produces the later achievement, those experiences receive different names:

lack of focus, wandering, unfinished projects, inability to commit.

History edits backward.

This makes successful unconventional careers look much more intentional than they felt while they were happening.

Henry Ford is an obvious example.

Before Ford Motor Company, he had been a machinist's apprentice, repaired steam engines, worked as an engineer for Edison, experimented with vehicles and participated in two earlier automobile ventures.

Ford Motor Company was founded in 1903, when Ford was 39.

At 25, his trajectory did not yet explain itself.

Later, it did.

The same is true more generally of entrepreneurship.

Technology culture has trained us to imagine that exceptional founders reveal themselves very early:

a brilliant teenager programs;

a 21-year-old drops out;

a 24-year-old raises venture capital;

a 28-year-old becomes a billionaire.

Those people exist.

But they are not the only model.

A large study using U.S. Census data found that the average founder age among the fastest-growing 0.1 percent of new ventures was 45. Previous experience in the relevant industry was also strongly associated with success.

That does not mean wandering until middle age is a strategy.

It means the market for consequential talent is not identical to the market for youthful legibility.

Breadth is not the same thing as shallowness

There is an obvious objection to all of this.

Perhaps the unconventional person is not secretly developing some rare capability.

Perhaps he simply never stayed with anything long enough to become good.

That happens.

There is nothing inherently admirable about variety.

A person can spend decades collecting ideas without accumulating mastery.

Breadth becomes valuable only when different experiences begin to change one another.

Software changes how you understand organizations.

Economics changes how you understand software markets.

Entrepreneurship changes how you distinguish elegant ideas from things customers will actually pay for.

Living in different countries changes how you perceive institutions and cultural assumptions.

Manufacturing changes how you think about physical constraints.

AI changes what you believe organizations themselves can become.

Eventually, several previously separate models may begin to interact.

That is not the same as knowing a little about everything.

It is combinatorial depth.

Research on innovation points in this direction.

Generalists appear particularly useful in uncertain environments because they can recombine knowledge across components, while specialists often contribute deeper optimization inside particular components.

Studies of repeat inventors also find that many move among technological domains rather than remaining permanently fixed in one. But they usually do not jump randomly across the entire intellectual universe. They tend to move into areas connected to things they already know.

And there is a penalty for jumping too far.

Scientists and inventors who move a great intellectual distance from their accumulated expertise tend, on average, to perform worse after the transition.

That is important.

The lesson is not:

Follow every curiosity.

It is:

Build a sufficiently large map that you can see connections unavailable from one coordinate—and accumulate enough depth that the connections survive contact with reality.

Think like a fox. Build like a hedgehog.

Isaiah Berlin made famous the distinction between the fox and the hedgehog.

The hedgehog knows one big thing.

The fox knows many things.

Philip Tetlock later found something resembling this distinction in forecasting. Thinkers who combined multiple perspectives, updated probabilities and resisted forcing reality into one grand theory often forecast better than highly ideological “hedgehog” thinkers.

Nate Silver later popularized the distinction in The Signal and the Noise.

But there is a mistake hidden in the metaphor.

A person can be a fox epistemically without being a fox economically.

I can want economics, engineering, history, politics, technology, psychology and manufacturing in my head while still building one company.

I can collect models broadly while allocating capital narrowly.

I can change my mind easily about theories while being extraordinarily persistent about an objective.

In fact, this may be one of the most powerful combinations:

Think like a fox. Build like a hedgehog.

Take information from everywhere.

Commit resources somewhere.

This distinction matters because the highest form of breadth is not permanent movement.

It is synthesis.

Institutions are not neutral containers

There is another reason I distrust the assumption that the conventional career is “safe” while the unconventional one is risky.

Specialization is itself a bet.

If you spend 15 years inside an institution, you are making a concentrated investment in the proposition that:

this institution, this industry and this definition of valuable expertise will continue to matter.

Often that is an excellent bet.

Sometimes it becomes stranded.

The people trapped inside declining industries are rarely stupid.

Quite often they are exceptionally intelligent people who became extraordinarily good at solving the problems rewarded by the previous technological regime.

That distinction matters.

An institution does not merely teach you skills.

It teaches you:

what problems matter;

what competence looks like;

who deserves respect;

what risks are reasonable;

what evidence counts;

what career moves constitute progress;

and what sort of future is plausible.

The same coordinate system that makes exploration cheap also places boundaries around what is likely to be explored.

The McKinsey consultant can explore twenty industries.

But she is much less likely to spend ten years asking:

Why should companies buy management consulting in this form at all?

The frontier researcher may explore enormous intellectual territory while taking for granted that the frontier represented by his institution is the frontier that matters.

The elite institution gives its members an enormously powerful map.

That map is an advantage until the terrain changes.

Then it can become a source of correlated error.

The world occasionally changes the scoring system

This is where the argument becomes particularly relevant now.

Artificial intelligence is not merely another productivity tool.

It may alter the relative scarcity of different forms of cognition.

For decades, advanced economies placed enormous premiums on people capable of absorbing information, manipulating abstractions, analyzing organizations, producing recommendations and coordinating complex knowledge work.

That environment rewarded lawyers, consultants, financiers, managers, software engineers, researchers and other highly trained cognitive specialists.

AI does not make these people irrelevant.

But it may change what is scarce.

If machines become increasingly capable of operating inside established bodies of knowledge, then the premium on human beings may shift toward questions such as:

Which body of knowledge should we be using?

Which assumptions no longer hold?

Which two industries are about to collide?

Which capability has become newly possible?

Which organizational form makes sense now?

What should we build that did not make economic sense five years ago?

Those are not necessarily specialist questions.

They are often questions about changing the level of analysis.

The specialist naturally asks:

How can we make this system better?

The person moving across domains is more likely to ask:

Why does the system have this form at all?

This is both his advantage and his greatest source of stupidity.

Sometimes the outsider sees a constraint insiders have stopped noticing.

Sometimes he simply does not understand why the constraint exists.

Boundary-crossing innovation therefore carries both higher upside and higher uncertainty.

That is exactly what we should expect.

The conventional elite optimize within maps

There is nothing illegitimate about this.

Every civilization needs people who become extraordinarily good at operating its most important systems.

Elite institutions select talented people, expose them to difficult problems, surround them with ambitious peers and give them increasingly consequential responsibilities.

That produces real competence.

But there is another kind of elite whose value becomes most obvious during periods when the map itself is unstable.

Call them the uncredentialed elite.

The phrase does not mean people without university degrees.

Many will have degrees.

Some will have worked at elite institutions.

“Uncredentialed” means something more specific:

Their most valuable capability cannot be fully certified by the institutions that currently exist because part of that capability consists of seeing beyond the categories those institutions use.

They may combine domains that normally produce separate professions.

They may enter industries through side doors.

They may be unusually willing to rebuild their model when reality contradicts the accepted one.

They may have high agency because nobody has provided a predefined sequence of steps.

Their advantage is not that they avoided institutions.

It is that their identity was never completely enclosed by one.

And this creates a strange economic problem.

Before they produce something undeniable, it can be difficult to distinguish them from dilettantes.

There is no standardized credential for:

saw the next industrial architecture before it became obvious.

There is no promotion ladder for:

combined five previously unrelated domains into a new company.

There is no exam for:

correctly identified that the old prestige hierarchy was attached to a declining technological regime.

The credential arrives afterward.

It is the thing they built.

Exploration has no automatic accounting system

This is perhaps the largest psychological advantage of institutional careers.

They continually resolve ambiguity.

You make associate.

You get promoted.

You publish the paper.

You become partner.

Your compensation rises.

The milestones certify that the previous years counted.

The unconventional path provides much weaker reassurance.

It gives you options rather than promotions.

You can become substantially more capable while looking almost unchanged from the outside.

That makes the path psychologically difficult.

It also makes self-deception unusually easy.

Perhaps you really are building an unusual combination of capabilities.

Perhaps you simply enjoy novelty and have constructed an elaborate intellectual justification for avoiding commitment.

There is no perfect test.

That uncertainty cannot be solved philosophically.

Eventually reality has to arbitrate.

Customers.

Machines.

Capital.

Scientific results.

Organizations.

Revenue.

Products.

People willing to follow you.

Things that work.

The uncredentialed elite cannot remain permanently uncredentialed.

At some point, capability must become consequence.

The goal is not to keep exploring

This is where I disagree with the romantic version of the generalist argument.

The objective is not maximum breadth.

It is not a life spent collecting experiences.

It is not permanent optionality.

The objective is convergence.

At first, the pieces may look unrelated.

Software.

Economics.

Technology.

Entrepreneurship.

Different countries.

Different industries.

Failures.

Relationships.

New ideas.

Then a sufficiently important problem appears and several of those pieces suddenly become relevant at once.

The path begins to collapse inward.

Not because the earlier breadth was a mistake.

Because it has finally found something worth concentrating on.

The strongest model I can come up with is:

Explore broadly enough to discover something non-obvious.
Learn deeply enough to know when you are wrong.
Concentrate enough resources to make the insight real.

All three are necessary.

Cross-domain thinking without reality becomes intellectual entertainment.

Depth without the ability to question the surrounding paradigm can produce extraordinary optimization of a world that is disappearing.

And exploration without eventual commitment becomes permanent adolescence.

The rare combination is different:

broad search + deep learning + concentrated execution.

The credential is the new reality

Perhaps this explains why some consequential people emerge later than expected.

Their advantage was never simply that they spent more years climbing one ladder.

They accumulated a combination of models, capabilities, failures, relationships and experiences that could not easily have been designed in advance.

For years the combination looked inefficient.

Then the world changed.

A technology appeared.

An industry reorganized.

A previously impossible company became possible.

A problem emerged for which the strange combination suddenly made sense.

And somebody who had looked less optimized than his peers found himself unusually well positioned.

Before the opportunity appeared, the career looked incoherent.

Afterward, everyone called it strategy.

That is one of the peculiarities of genuinely nonlinear careers.

The conventional elite receive their credentials before the outcome.

The uncredentialed elite receive theirs afterward.

Their credential is the institution they created.

The technology they built.

The company that changed an industry.

The system that other people subsequently learn to navigate.

Until then, the market may discount them.

Sometimes correctly.

Sometimes very badly.

And during periods when the old maps stop working, that distinction can become enormously important.

Because the next elite may not initially look like a better version of the current elite.

They may look like people who were playing the wrong game.

Right up until the game changes.

Imagine I offered you an investment with the following terms.

There is a substantial chance that everything works normally for decades.

But there is also a meaningful chance that, sometime during your working life, the system suffers a catastrophic failure.

In that state, you could lose most of your locally held wealth. Your income could disappear. Your property could become inaccessible or worthless. Crime and political violence could rise dramatically. Your ability to move money or leave the country could become restricted.

In the worst version, there is a non-trivial risk of injury or death.

Would you put essentially your entire net worth into it?

Probably not.

Yet this is approximately how most people construct their lives.

Their home, citizenship, career, bank accounts, pension, property, professional network, social network and legal rights all sit inside one country.

We diversify stocks because putting everything into a single company feels obviously reckless.

Then we put almost our entire life portfolio inside one jurisdiction.

The usual response is:

Sure, but developed countries don't collapse.

I used to find that intuitively persuasive.

Then I started looking at the time scale.

Eighty peaceful years feels normal because it is almost all we remember

Western Europe and Japan have now lived through roughly 80 years without another catastrophe comparable to the first half of the twentieth century.

For people alive today, that begins to feel like the natural state of developed societies.

Our parents lived through it.

Our grandparents often lived through most of it.

Institutions survived.

Elections happened.

Markets grew.

Wars happened somewhere else.

That experience creates a powerful intuition:

The country has been stable for my entire life, therefore stability is probably the normal state of the country.

But that conclusion becomes much less obvious when the event you are trying to estimate may occur only once every century or two.

If a catastrophic political event naturally happens on a 100-, 150- or 200-year time scale, then observing 30 or 50 peaceful years tells you almost nothing.

Even 80 years may not tell you very much.

The postwar period could represent a structural break in human history.

Or it could simply be a very long peaceful interval.

Those are radically different interpretations, and we do not yet have enough history to distinguish them confidently.

That is the problem.

So I tried a different question

Instead of asking:

Does America look unstable today?

Or:

Are European institutions healthy?

I wanted a more mechanical question:

Historically, how long have countries broadly similar to today's developed countries actually gone between serious conflicts on their own territory?

I took a rough reference group:

• United States
• Canada
• United Kingdom
• France
• Netherlands
• Belgium
• Switzerland
• Sweden
• Denmark
• Norway
• Germany
• Italy
• Spain
• Portugal
• Japan
• Australia
• New Zealand

Then I looked backward roughly 250 years.

The event definition was deliberately simple:

Organized war-level conflict on what is now the country's territory, involving the government or a rival political authority, and reaching roughly the conventional 1,000-battle-death threshold.

This is not an actuarial model.

Borders change. Definitions change. Some countries have unusual histories. A conflict in a remote colony is not psychologically equivalent to tanks entering the capital.

But I was not trying to calculate a probability to four decimal places.

I wanted to know whether the historically sensible baseline looked more like:

1%

10%

or

50%

over a human-scale horizon.

The result surprised me.

The historical peace spells were much shorter than intuition suggests

In the first-pass sample, the historical survival curve looked roughly like this:

Again, these are rough historical reference-class numbers, not forecasts for any particular country.

But they change the prior.

Only about 31% of historical peace spells in this sample reached 100 years.

An 80-year stretch of peace is already unusual.

The current postwar period is not historically ordinary.

That does not mean another conflict is "due."

It means something more important:

We should not casually assume that another 50 peaceful years is the default simply because the last 80 were peaceful.

A baseline around a 50% chance of a catastrophic domestic conflict over the next 50 years no longer strikes me as obviously extreme.

It may be wrong.

But it is at least in the range that the long-run historical record forces us to take seriously.

The working conflict table

The table below is essentially what sat behind the earlier calculation. A † means a pre-1816 episode that had to be manually added rather than coming from COW.

COW's chronology does indeed contain the post-1816 backbone we were using: French insurrections, Belgian independence, Carlist wars, the Italian unification conflicts, U.S. Civil War, Schleswig wars, Meiji Restoration, Satsuma Rebellion, Australian Aboriginal wars, WWI, the Spanish Civil War and WWII.

What I actually did with those rows

The important thing is that I did not count "number of wars per country."

I turned the history into peace spells.

Take the United States as the easiest example:

That final 80-year observation is fundamentally different from the first three.

We know the 29-, 46- and 76-year spells ended.

We do not know how long the current one will ultimately last.

So simply averaging all the numbers would bias the result downward by pretending today's unfinished spells ended in 2025.

That's why I used a survival-analysis concept.

Kaplan-Meier, in plain English

At every duration where one of the historical peace spells ended, you ask:

Among all peace spells that had survived this long, what fraction failed here?

You compound those survival fractions as duration increases.

The resulting function, usually written S(t), just means:

What fraction of peace spells would historically be expected to still be alive after t years?

Then:

1 minus that number = probability that the spell has ended in a qualifying conflict by that duration.

The advantage is that Switzerland's current 200+ year spell, America's current spell, Europe's post-1945 spell, etc., still contribute information without us pretending we know when they will end.

I rebuilt the arithmetic explicitly just now

Using the broad working coding above, merging overlapping episodes, I get 48 completed peace spells plus 17 currently censored spells.

So my earlier statement of 47 completed should be treated as a first-pass counting discrepancy, not a sacred number.

The completed spells alone look approximately like this:

And the reconstructed Kaplan-Meier curve gives approximately:

The obvious objection: today's countries are different

This is where most geopolitical analysis moves immediately.

America is rich.

Western Europe is democratic.

Japan has strong institutions.

NATO exists.

Nuclear deterrence exists.

Modern states have enormous administrative capacity.

All true.

And all relevant.

"Strong institutions" is not an operational explanation

When someone tells me:

America has strong institutions.

My brain wants to ask:

Strong against what exact failure mode?

What happens if an election result is not accepted?

What happens if political legitimacy splits across institutions?

What happens if a severe recession coincides with a military confrontation?

What happens if different levels of government refuse to cooperate?

What happens if a financial shock, technological shock and constitutional crisis arrive together?

What happens if today's political coalition is replaced by one that does not respect the same informal constraints?

These are not predictions.

They are stress tests.

In software, nobody serious says:

The architecture looks healthy, therefore failure probability is negligible.

You ask:

• Where are the single points of failure?
• Which systems fail together?
• What happens under load?
• What assumptions are hidden?
• Which dependencies are outside your control?
• What happens when the happy path breaks?

That is how I increasingly think about countries too.

A policy is not capability

This is also where my operator perspective differs from a lot of financial or geopolitical commentary.

A financial analyst may look at:

• capital spending;
• market size;
• valuation;
• supply chains;
• corporate margins.

A geopolitical analyst may look at:

• alliances;
• military budgets;
• elections;
• treaties;
• state capacity.

Those are important.

But building technology teaches you to ask one additional question:

What actually has to happen for this outcome to become real?

That question matters enormously.

A country can announce industrial policy without building industry.

A company can announce an AI strategy without changing a single employee workflow.

A military can spend enormous amounts without building a functioning procurement system.

A government can have emergency plans that nobody knows how to execute.

A country can look institutionally stable until several supposedly independent systems fail at the same time.

The interesting variable is not only what exists on paper.

It is whether the underlying system can execute under stress.

That is much harder to observe from the outside.

And that creates another problem: political fragility is partially hidden

If a country's true probability of breakdown were obvious three years in advance, country risk would be relatively easy to manage.

People would leave.

Capital would move.

Governments would respond.

Allies would intervene.

Political actors would change strategy.

The crisis itself might be prevented.

The fact that many catastrophic political events are not widely anticipated is therefore not surprising.

The system reacts to its own prediction.

And much of the relevant state is hidden.

You can observe elections.

You can observe GDP.

You can observe institutions.

But you cannot directly observe:

• how political elites behave under an unprecedented shock;
• whether the military remains unified;
• how much legitimacy institutions actually retain;
• how quickly social trust can collapse;
• which event suddenly coordinates previously fragmented opposition;
• which apparently stable equilibrium is close to a tipping point.

This looks familiar to anyone who has built complex systems.

The worst failures often do not come from the variable you were watching.

They come from an interaction between several variables you thought were independent.

So I don't want to predict the crisis

I want to remove the single points of failure

This is the part where the startup method becomes useful.

When building a product, I don't start by trying to predict every possible user behavior.

I ask:

What is the cheapest experiment that reveals the biggest unknown?

And:

What is the minimum architecture that prevents one failure from destroying the whole system?

Applied to country risk, the question becomes:

What are the minimum changes that prevent one country's failure from destroying most of my life?

That is a much more useful question than:

Will America have a civil war in 2057?

I have no idea.

Neither does anyone else.

But I can inspect my own architecture.

Run the failure analysis on your own life

Imagine your country enters a catastrophic political or military crisis.

Don't discuss it abstractly.

Walk through the system.

Income

Can you still earn if your domestic economy stops functioning normally?

Can you work legally elsewhere?

Is your earning power portable, or is it dependent on local licensing, customers or institutions?

Money

Where are your assets legally held?

Not what companies do you own.

Where is the account?

Which country's courts govern it?

What currency do you depend on?

What happens if capital controls appear?

Housing

How much of your net worth is concentrated in one physical property market?

If you suddenly needed to leave, could you sell?

Would there be buyers?

Legal mobility

Where can you actually live without asking permission?

Not:

I could probably get a visa.

But:

I have a legal right to enter, stay and work.

Network

If you moved tomorrow, would you know anyone?

Could you find work?

Could your family function there?

Do you understand the institutions?

Timing

How much of this can be done after the crisis becomes obvious?

That last question may be the most important one.

The option becomes valuable before everyone knows they need it

Suppose country risk becomes obvious.

Suddenly millions of people want the same things:

• foreign residency;
• foreign bank accounts;
• foreign currency;
• liquid assets;
• flights;
• housing abroad;
• safe jurisdictions.

The price of escape rises precisely when you need it.

Some escape routes simply disappear.

This is why waiting for obvious evidence may be irrational.

The value of the option comes from possessing it before the state of the world is revealed.

That is the same logic behind redundancy in engineering.

You do not install the backup generator after the electricity goes out.

Is an 80% downside realistic?

Not for the average war.

That distinction matters.

A normal recession is not an 80% loss.

Even many wars do not destroy 80% of national wealth.

But I am not interested in the average bad year.

I am interested in the catastrophic branch.

The branch where several things happen together:

• physical conflict;
• currency destruction;
• expropriation;
• capital controls;
• forced displacement;
• loss of income;
• property destruction;
• collapse in public safety.

If most of your economic life sits inside the affected country, an 80% personal loss is not difficult to imagine.

And financial wealth is only part of the damage.

There is also:

• physical injury;
• death risk;
• family disruption;
• lost years of education;
• destroyed careers;
• psychological trauma;
• political humiliation;
• loss of national status;
• decades of reduced opportunity after defeat.

Countries can rebuild GDP.

People do not necessarily get those years back.

Now the expected-value problem becomes uncomfortable

Suppose your rough long-horizon probability of a catastrophic country event is around 50%.

Suppose the catastrophic personal downside is around 80%.

I am not claiming those are exact numbers.

Use your own.

The important point is simply that if both numbers are large, then the expected exposure is large.

Yet many intelligent people devote almost no effort to reducing it.

Operationally, their life looks like:

• one citizenship;
• one country of residence;
• one property market;
• one banking system;
• one currency;
• one local career;
• one domestic professional network;
• one pension regime.

Then they buy an international ETF and call themselves diversified.

Their securities portfolio may be diversified.

Their life architecture is not.

The correct response is not a bunker

It is redundancy

This distinction matters.

If I believed the rational response was spending every Sunday stockpiling canned food, I would not find the idea particularly interesting.

The better strategy looks much more like designing a fault-tolerant system.

Build a second legal option.

Have assets outside one jurisdiction.

Develop income that can travel.

Know another city well enough that moving there is operationally possible.

Maintain relationships outside your home country.

Keep enough liquidity that you do not need to sell everything during the panic.

Understand which decisions become impossible once a crisis begins.

The objective is not to live as though catastrophe is imminent.

The objective is to make sure catastrophe in one location does not automatically become catastrophe everywhere in your life.

The best hedges are productive in the normal world too

This is where the economics become especially attractive.

A second-country professional network can create business opportunities even if nothing goes wrong.

A second language can increase your earnings.

International assets can improve ordinary portfolio diversification.

A second citizenship can create employment, travel and educational options.

Portable skills increase negotiating leverage.

Living in multiple countries improves information.

So these are not necessarily dead insurance expenditures.

They can produce upside in the normal world and become extraordinarily valuable in the catastrophic world.

That is exactly the kind of option I like.

Low carrying cost.

Useful under ordinary conditions.

Massive payoff in a rare bad state.

This is really an engineering problem

The more I think about country risk, the less useful I find the usual political question:

Is my country safe?

"Safe" is too binary.

A better question is:

How many independent things have to go wrong before my life becomes unrecoverable?

If the answer is one, you have a fragile system.

If one government, one banking system, one property market or one legal jurisdiction can simultaneously destroy most of your wealth, income and mobility, then you have an architectural problem.

In software, I would never design an important system that way.

I am increasingly unconvinced that I should design my life that way either.

The postwar world may continue for another century

I hope it does.

Maybe modern democracy permanently reduced internal war.

Maybe nuclear weapons permanently reduced great-power conflict.

Maybe economic integration changed the process.

Maybe the next 80 years look just like the last 80.

But the historical record does not give me enough confidence to treat that outcome as virtually guaranteed.

That is the important distinction.

You do not need to predict catastrophe.

You do not need to believe catastrophe is the most likely outcome.

You only need to believe that:

the probability is meaningful,

the downside is enormous,

and

the cost of reducing your exposure is reasonable.

Once those three conditions hold, doing nothing becomes the strange decision.

Don't spend your time arguing endlessly about whether the system will fail.

Identify the failure modes.

Find the single points of failure.

Test your assumptions.

Build redundancy where it is cheap.

Then keep operating.

Because country diversification is not fundamentally about pessimism.

It is about refusing to let one system determine every important outcome in your life.

The most consequential thing Japan did to the Soviet Union in the 1980s was not military.

Japan did not threaten Moscow. It did not win an arms race against the USSR. It did not force the Soviet Union out of Eastern Europe.

What Japan did was more psychologically destructive:

it made the Soviet model look obsolete.

By the 1970s, Soviet leaders could still describe their country as one of the world's great modern industrial civilizations. The USSR possessed nuclear weapons, spacecraft, advanced aircraft, enormous steel and machinery industries, world-class mathematics and physics, and one of the two superpower militaries.

Its economic failures could still be rationalized.

The United States was richer, but Soviet citizens were told that America achieved its wealth through capitalism, inequality, unemployment, consumerism and exploitation.

The USSR was supposedly pursuing different goals.

Then Japan became impossible to ignore.

Here was a country that had been physically devastated in 1945, possessed few natural resources, maintained a relatively small military, and had a fraction of Soviet territory.

Yet by the 1980s Japan was producing some of the world's best:

• automobiles;
• semiconductors;
• consumer electronics;
• industrial robots;
• machine tools;
• ships;
• cameras;
• precision components;
• public infrastructure.

Japan became the world's largest automobile producer around 1980. By the late 1980s Japanese firms controlled roughly half of the global semiconductor market. Japanese nominal GDP rose from roughly $1.1 trillion in 1980 to more than $3 trillion by 1990.

The comparison became politically poisonous because Japan did not merely outperform the USSR.

Japan invalidated the Soviet explanation for why the USSR underperformed.

If the Soviet model really represented industrial modernity, why could Japan build better cars?

Why did Japan have better electronics?

Why were its factories more productive?

Why were its trains better?

Why were ordinary Japanese households surrounded by technologies Soviet engineers could not provide their own population?

Eventually the comparison stopped being:

Japan is doing unusually well.

It became:

Something is fundamentally wrong with us.

That shift mattered.

Once Soviet citizens and policymakers began believing the problem was not an isolated policy mistake but the system itself, reform became destabilizing rather than restorative.

Gorbachev did not create Soviet economic doubt. He inherited it.

And when the political system finally cracked, Soviet economic prestige did not merely decline gradually.

It collapsed.

Russia inherited nuclear weapons, aerospace expertise, world-class scientists, enormous energy reserves, sophisticated military industries and a permanent UN Security Council seat.

But economically, the old status was gone.

Nobody in 2000 thought:

United States, Japan, Germany, Russia — four roughly equivalent centers of advanced economic power.

Russia had retained extraordinary capabilities.

It had lost the presumption of systemic competence.

That loss proved remarkably permanent.

China may be playing the same role for Europe

This is the analogy I think matters for the 2020s.

The conventional way to describe China's rise relative to Europe is quantitative:

China's economy is getting larger.

China manufactures more.

China exports more goods.

But that misses the stage we are now entering.

China already won the quantitative manufacturing contest years ago.

By 2024, China accounted for about 32% of global manufacturing value added.

The United States was around 15%.

Japan roughly 6%.

Germany around 5%.

South Korea around 3%.

China alone therefore produced more manufacturing value added than the United States, Japan, Germany and South Korea combined.

That is not the important new development of the 2020s.

Europe had already learned to live psychologically with Chinese scale.

The comforting explanation was straightforward:

China has quantity. Europe has quality.

China had factories.

Europe had engineering.

China had cheap labor.

Europe had technology.

China assembled.

Europe designed.

China competed on cost.

Europe competed on sophistication.

That story allowed Europe to preserve its status even after the quantitative balance had shifted decisively toward China.

The dangerous development of the 2020s is that China is beginning to remove the qualitative escape hatch as well.

The sequence looks something like this

That third stage is the important one.

It is the equivalent of Japan's 1980s.

Cars are especially dangerous because Germany built part of its identity around them

China manufacturing more toys than Europe never threatened European prestige.

Chinese companies becoming competitive with Germany in automobiles does.

Germany's implicit industrial proposition for decades was not:

We make a lot of cars.

It was:

We know how to make the world's best cars.

Mercedes.

BMW.

Porsche.

Volkswagen.

Audi.

The automobile was an unusually visible demonstration of European engineering competence.

Then the technological basis of the car changed.

Electric vehicles placed greater importance on:

• batteries;
• power electronics;
• software;
• electric motors;
• charging;
• electronics supply chains;
• manufacturing integration.

And China built the ecosystem.

In 2025 China produced roughly three-quarters of the world's electric cars.

It produced more than 80% of global battery cells.

Chinese companies also dominated cathode and anode materials, and Chinese battery producers supplied more than half of the EU's own EV battery market.

That is not simply another case of China making a cheaper European product.

The embarrassing possibility is that China has become better positioned for the technological regime that replaces Europe's most prestigious industrial product.

Europe can tariff Chinese EVs.

But protection itself communicates something.

Twenty years ago, European companies wanted China to open its market to superior European industrial products.

Now Europe increasingly worries about protecting its own market from Chinese manufactured goods.

The direction of anxiety has reversed.

Green technology creates an even deeper legitimacy problem

Europe spent decades defining itself partly through environmental leadership.

Climate regulation became one of the clearest distinctions between the European and American models.

The implicit European argument was:

America may have Silicon Valley, but Europe is building the sustainable society of the future.

Then something unexpected happened.

Europe became one of the world's strongest advocates of the green transition.

China became its industrializer.

In 2025 China added almost 500 gigawatts of renewable power capacity in a single year.

More than 60% of all renewable capacity installed globally that year was Chinese.

That included roughly:

• 370 GW of solar;
• 117 GW of wind.

The entire European Union added about 85 GW.

China had already exceeded its own 2030 wind-and-solar target in 2024, six years early.

And China does not merely install clean energy.

It manufactures much of the physical equipment required for the global transition:

• solar modules;
• batteries;
• EVs;
• power electronics;
• increasingly grid equipment;
• much of the relevant processing capacity.

This produces an ideologically awkward result.

Europe can still say:

We cared about climate first.

China can increasingly answer:

We built the system.

That is a more damaging comparison than losing market share in an ordinary industry.

Green industrial policy was supposed to demonstrate the advantages of coordinated European government action.

Instead, China may demonstrate those advantages more convincingly.

Infrastructure attacks Europe on another point of pride

Europe has many excellent transportation systems.

Paris, Madrid, Vienna, Copenhagen, Amsterdam and Zurich remain among the world's best urban environments.

The important comparison is therefore not whether every Chinese train is nicer than every European train.

It is the ability to build.

At the end of 2025, China had roughly 50,000 kilometres of high-speed railway.

Its modern high-speed network was negligible less than twenty years earlier.

Chinese cities operated more than 11,000 kilometres of urban rail, and the country continues adding hundreds of kilometres each year.

Europe, meanwhile, can take years or decades to approve, fund and construct major infrastructure projects.

Each delay has a perfectly reasonable explanation:

• environmental review;
• local consultation;
• property rights;
• fiscal constraints;
• historic preservation;
• procurement requirements;
• fragmented jurisdictions.

Every explanation may individually be valid.

But political legitimacy operates on accumulated impressions.

After the tenth explanation, voters may stop hearing:

Our system embodies higher standards.

They may start hearing:

Our system cannot execute.

That distinction is politically explosive.

Science is becoming harder to use as Europe's fallback argument

For years Europe had another defense.

Perhaps America commercialized technology better.

Perhaps China manufactured it more cheaply.

But Europe still possessed extraordinary universities, laboratories and scientific institutions.

That remains true.

What is changing is the relative trajectory.

China's R&D intensity reached about 2.7% of GDP in 2024.

The EU has remained close to 2.1%.

Measured using purchasing-power parity, China's total R&D expenditure has reached approximately American scale, while European spending has fallen relative to the United States over the past decade.

Scientific output has shifted dramatically as well.

China now leads the Nature Index in natural-science research output.

In energy and environmental research, the OECD found China's share of the world's top 10% most-cited publications rose from around 15% in 2012 to nearly 40% in 2022.

The EU moved in the opposite direction:

27% to roughly 15%.

This matters because it weakens another comforting interpretation:

China manufactures Western discoveries.

Increasingly, China discovers things too.

AI may complete the psychological transition

Artificial intelligence provides perhaps the clearest example of prestige reclassification happening in real time.

A decade ago, it was plausible to imagine three technologically consequential regions:

United States — Europe — China

The contemporary AI discussion increasingly looks different:

United States — China

and then everyone else.

Stanford counted 40 notable American AI models in 2024.

China produced 15.

Europe combined produced only three.

By 2025, the numbers had risen to 59 for the United States and 35 for China.

China also leads in AI publication volume, citations and patent output, while Chinese frontier models have rapidly closed benchmark gaps with American systems.

The remarkable thing is not simply that Europe is behind.

It is that Europe is disappearing from the comparison.

People ask:

Can China catch the United States in AI?

They increasingly do not ask:

Can Europe catch China?

That grammatical change is how status loss begins.

China is also destroying the cheap-labor explanation

Perhaps China's manufacturing dominance could still be dismissed if it rested on millions of inexpensive factory workers.

But China is rapidly automating.

In 2024 Chinese factories installed approximately 295,000 industrial robots.

That was about 54% of every industrial robot installed worldwide that year.

China already had more than two million industrial robots in operation.

More importantly, Chinese robotics manufacturers captured 57% of their own domestic market, compared with less than 30% historically.

The manufacturing giant is therefore beginning to manufacture the machines that automate the manufacturing giant.

This creates a very different competition.

Europe is no longer facing:

cheap Chinese labor versus sophisticated European automation.

It is increasingly facing:

Chinese scale + Chinese automation + Chinese engineering + Chinese suppliers.

That is how a quantitative advantage becomes qualitative.

Why China is more psychologically dangerous to Europe than America

Europe has always possessed an ideological answer to the United States.

America could say:

We are richer.

Europe could answer:

We chose stronger welfare states.

America:

We built Google, Apple, Microsoft, Nvidia and Meta.

Europe:

We chose stronger regulation, public services and labor protection.

America:

Our capital markets are deeper.

Europe:

We prefer a less financialized society.

Whether one agrees with those answers is almost beside the point.

They allow Europe to interpret underperformance as a trade-off between models.

China creates a much harder comparison because China competes on many of the dimensions Europe itself claims to value.

Europe values strong government.

China has a vastly stronger state.

Europe values industrial policy.

China uses industrial policy far more aggressively.

Europe values public transportation.

China builds enormous public transportation systems.

Europe values decarbonization.

China installs renewable infrastructure at unparalleled scale.

Europe argues that the state should protect strategic industries.

China retained an enormous industrial base.

Europe argues that markets alone underinvest in long-term technology.

China mobilizes capital on a scale few European governments could contemplate.

Europe argues that scientific excellence should not depend entirely on Silicon Valley venture capital.

China increasingly produces frontier science.

So the European defense becomes much harder.

The question is no longer:

Why isn't Europe more like America?

Europe has answered that question for thirty years.

The dangerous question becomes:

Why can China execute so many of Europe's stated priorities better than Europe can?

That is the question Japan helped force on the Soviet Union.

Demographics make this far more serious than an ordinary industrial decline

Europe is encountering this comparison at exactly the wrong demographic moment.

The EU's working-age population is projected to decline substantially over the coming decades.

The European Commission expects the population aged 20–64 to fall by roughly 10% between 2025 and 2050.

At the same time, Europe's old-age dependency ratio is projected to increase from roughly 38% today to more than 55%.

In simple terms:

fewer workers will support more retirees.

That makes productivity growth much more important.

An aging society can remain extremely prosperous if:

• each worker becomes dramatically more productive;
• domestic capital earns strong returns;
• businesses invest heavily;
• technological industries expand;
• talented immigrants arrive;
• ambitious young people stay.

Europe's problem is that several of those mechanisms are simultaneously weak.

And Europe is not short of accumulated wealth.

EU households hold roughly €10 trillion in bank deposits.

The euro area remains a net creditor to the rest of the world, with a positive net international investment position of around €1.8 trillion in early 2026.

This is one of the strangest parts of the European story.

Europe has capital.

Europe does not consistently convert that capital into high-return European productive assets.

The Draghi competitiveness report estimated that Europe needs roughly €750–800 billion in additional investment every year merely to achieve its existing strategic objectives.

So the demographic problem and the industrial problem reinforce each other.

Europe needs higher productivity precisely when its productive machinery appears weakest.

This is where the 2030s become dangerous

The Soviet analogy becomes particularly interesting after the psychological break.

Soviet economic stagnation existed long before 1991.

But once people lost faith in the model, behavior changed.

When opportunities appeared, people exited.

Scientists left.

Entrepreneurs left.

Capital left.

Some of the Soviet Union's most internationally mobile human assets joined other systems.

Europe does not need a political collapse for something analogous to happen.

Europe has free movement of capital and people already.

Which means the adjustment can occur quietly.

A French machine-learning researcher joins an American AI lab.

A Dutch founder incorporates in Delaware.

A German battery engineer works for CATL.

A European startup moves its headquarters after Series B.

European pension capital buys American technology stocks.

A European manufacturer puts its next large factory in the United States because energy, subsidies and growth prospects are better.

No single decision constitutes collapse.

Every decision may be perfectly rational.

But together they can produce a dangerous feedback loop:

This is the European scenario I would worry about in the 2030s.

Not Soviet-style food shortages.

Not the dissolution of the European Union.

Not Europe becoming poor overnight.

Something more plausible:

a rich society entering a self-reinforcing cycle of declining confidence, outward capital flows, talent migration and institutional paralysis.

China has terrible demographics too

This analogy should not be taken too far.

China itself is aging extraordinarily quickly.

Its population has begun shrinking.

Its fertility rate is extremely low.

It may eventually face an even more severe aging problem than Europe while possessing substantially less wealth per person.

China therefore does not demonstrate that its model solves every problem.

It does not.

What China can demonstrate is narrower and politically more relevant:

Europe's failures in infrastructure, industrial investment, technological scaling and physical deployment are not inevitable consequences of being an advanced society with a large state.

That matters.

Europe cannot simply say:

Mature economies naturally stop building.

China can build.

Europe cannot simply say:

Environmentalism inevitably means industrial sacrifice.

China industrialized environmental technology.

Europe cannot simply say:

A large state necessarily suppresses technological ambition.

China's state is much larger and more interventionist.

And because Europe is aging, discovering that its institutions struggle to produce productivity growth makes the demographic problem much worse.

The deeper analogy

The comparison therefore isn't:

Japan destroyed the USSR.

Nor:

China will destroy Europe.

It is this:

Japan, 1980–1990

Japan became a comparison object that made Soviet economic weakness impossible to explain away.

The USSR still had enormous capabilities.

But policymakers and citizens increasingly understood that something fundamental was wrong with the system.

Once that belief spread, Soviet economic prestige collapsed remarkably quickly.

Russia retained islands of technological excellence afterward.

It never recovered the USSR's former status as one of the world's central economic models.

China, 2020–2030

China may become the comparison object that makes European institutional weakness impossible to explain away.

Europe will still possess:

• ASML;
• Airbus;
• world-class pharmaceutical companies;
• elite universities;
• excellent cities;
• sophisticated engineering firms;
• enormous accumulated wealth.

But those could increasingly look like exceptions inside a system losing relative capability, rather than evidence that Europe remains one of the world's defining productive systems.

That distinction is enormous.

The politically dangerous moment is when the explanation changes

Europe today still largely discusses its problems separately.

German industry has an energy problem.

European AI has a compute problem.

Startups have a venture-capital problem.

Infrastructure has a permitting problem.

Defense has a fragmentation problem.

Manufacturing has a Chinese-subsidy problem.

Demographics are a pension problem.

Each has its own report.

Its own ministry.

Its own policy programme.

But imagine another five years in which China continues advancing simultaneously in:

• EVs;
• batteries;
• solar;
• robotics;
• AI;
• scientific research;
• nuclear power;
• public transportation;
• shipbuilding;
• drones;
• advanced manufacturing;
• electricity infrastructure.

Eventually the public may stop believing there are twelve unrelated problems.

A much simpler interpretation becomes available:

Maybe the model itself is no longer capable of producing competitive outcomes.

That was the psychologically decisive development in the late Soviet period.

The USSR's problems did not suddenly appear in 1989.

What changed was the interpretation of those problems.

They stopped looking temporary.

They stopped looking sector-specific.

They stopped looking like the necessary cost of a superior social system.

They began looking systemic.

That is the real risk China poses to Europe.

2030 may matter more psychologically than economically

China does not need to become richer per capita than Germany.

It does not need to defeat Europe militarily.

It does not need Europeans to admire the Chinese political system.

Japan never needed Soviet citizens to become Japanese nationalists.

China merely has to make one proposition increasingly difficult to deny:

A society that Europe once considered technologically backward can now execute many of the things Europe claims to value better than Europe can.

If enough Europeans internalize that conclusion, the political consequences may be much larger than another decade of mediocre GDP growth.

Because status decline becomes permanent when people stop treating the existing hierarchy as temporary.

Japan helped push the Soviet Union across that psychological threshold during the 1980s.

The old Soviet claim to economic-modernity status never recovered.

China may be pushing Europe toward a similar threshold during the 2020s.

And if Europe's Soviet moment is the decade from 2020 to 2030, the most consequential effects may not become obvious until the decade after.

The 2020s would be the decade of recognition.

The 2030s would be the decade when capital, companies, talent and political behavior begin adjusting to what people have recognized.

Why China’s 2020s may resemble Korea’s 2010s—and why the 2030s could feel very different

There is a particular national mood that appears near the end of a long ascent.

The country is no longer merely getting richer. Its success starts being reflected back at it by foreigners.

Its companies are no longer dismissed as imitators. Foreign competitors study them. Its cities become places ambitious people want to see. Its technology becomes associated with the future. Its diaspora starts wondering whether leaving was necessarily the upward move. Even cultural products that once seemed provincial begin traveling.

For a while, almost every international comparison seems to move in the same direction.

South Korea had something close to that moment in the 2010s.

China may be having it now.

The analogy I want to make is not that China will become another Korea. China is nearly eleven times Korea’s population, a nuclear power, a permanent member of the UN Security Council, and the world’s second-largest economy at market exchange rates.

The analogy is about the mood around peak relative ascent:

The interesting part is what happens after the mood turns.

Because Korea’s experience suggests that the post-peak period does not begin when factories close or culture disappears.

It begins when success stops hiding dependence.

Korea in the 2010s: 3% growth felt much bigger than 3%

South Korea was already a rich country by 2010. It was not experiencing Chinese-style catch-up growth.

Yet between 2009 and 2019, Korean real GDP still grew by an average of 3.1% a year, versus just 1.8% across the OECD. Korea was mature enough to be taken seriously but still growing quickly enough to keep closing gaps with richer countries.

That was an unusually satisfying position.

Samsung overtook old Japanese electronics champions and became one of the two defining smartphone companies of the era. Hyundai and Kia moved from discount brands toward serious competitors to Toyota and Volkswagen. Korean shipbuilders had displaced Japan. Korean displays and memory chips sat at the technological frontier.

And Seoul itself carried the message.

An American or European arriving in the early 2010s could encounter faster broadband, better mobile infrastructure, enormous subway systems, newer urban districts and Samsung devices everywhere. Korea did not need to explain that it had modernized. You could see it.

Then culture arrived.

Gangnam Style in 2012.

BTS and Blackpink.

K-beauty.

Korean television.

Parasite.

Then, just over the boundary of the decade, Squid Game.

None of these things individually created Korea’s national confidence. What mattered was that industrial, technological and cultural evidence all pointed in the same direction at once.

Japan, Korea’s century-long benchmark, appeared stagnant.

China was gigantic but still clearly below Korea in many high-status technologies.

Europe was struggling through the euro crisis.

America was still recovering from 2008.

Korea kept gaining positions.

That was the essential feeling.

A young Korean could complain about jobs, housing or Korean society and still believe something quite different about the country itself:

Korea will matter more ten years from now than it does today.

That is national ascent.

Korea’s 2020s are the post-miracle X-ray

Now compare that with Korea today.

The country has not collapsed. In fact, 2026 is an unusually strong year because of the AI semiconductor boom.

But the underlying slope has changed dramatically.

Growth was just 1.0% in 2025. The OECD expects the semiconductor cycle to push it temporarily to 2.6% in 2026, then back to 1.9% in 2027. Compare that with the 3.1% average of the pre-pandemic decade.

Korea’s nominal GDP in 2025 was about $1.87 trillion, placing it roughly 13th in the world and accounting for only about 1.6% of global GDP. That is a very successful country. It is not a system-sized economy.

And once growth stops doing the psychological work, that small scale becomes harder to ignore.

The industrial reversal is particularly stark.

Korean battery companies looked like obvious winners of the EV transition only a few years ago. Yet their share of the European EV-battery market fell from nearly 80% in 2022 to 60% in 2024, largely because Chinese manufacturers were gaining. By 2025, Chinese battery producers had moved above 50% of the European market.

Shipbuilding tells a similar story. Korea remains exceptionally strong in LNG carriers and other sophisticated vessels. But China now has roughly 45% of global shipyard capacity and about 60% of the global orderbook. UNCTAD notes that gas carriers are essentially the only major contracting segment in which China did not rank first in 2024.

So the national industrial vocabulary changes.

In 2012:

What can Korea take from Japan next?

In 2026:

Can Korea hold HBM?

Can it preserve high-end shipbuilding?

Can Korean batteries recover against China?

Can Hyundai avoid the fate of European automakers?

The word that quietly enters the conversation is still.

Korea is still world-class in memory.

It is still formidable in shipbuilding.

It still has major battery companies.

That is a different psychology from ascent.

Then the dependencies become visible

The more interesting reversal is not even Chinese competition.

It is that Korea’s 2010s success had created an image of much greater autonomy than Korea actually possessed.

Take finance.

Korea built Samsung, Hyundai, SK Hynix and LG, but it never built a currency or capital market remotely equivalent to its industrial position.

In MSCI’s 2026 market-accessibility review, Korea still lacks a fully deliverable offshore won market. MSCI continues to treat access to Korea differently from developed markets despite decades of industrial success.

Take energy.

Roughly 70% of Korea’s crude oil imports still come from the Middle East. In 2026 Seoul was sufficiently concerned about supply security that it negotiated deeper crude-storage and emergency-supply arrangements with the UAE.

Take America.

The United States increasingly does not simply want to buy Korean industrial products. It wants Korean industry physically located in America.

The current U.S.–Korea economic arrangement involves a Korean investment commitment of roughly $350 billion in the United States—an enormous figure beside Korea’s $1.87 trillion annual economy.

Samsung can become a stronger global semiconductor company by building more fabrication capacity in America.

Hyundai can protect its U.S. market by building cars in Georgia.

LG Energy Solution can become a more important battery company by producing inside North America.

But Korea then has to confront an uncomfortable distinction:

The success of Korean companies is no longer automatically the success of Korean territory.

That is a classic post-peak problem.

And finally there is Japan.

As recently as the 2010s, national ascent made it easier for Korea to imagine that it was gradually escaping its old strategic relationship with Japan.

In 2026, the logic is running the other way.

South Korea and Japan have agreed to deepen cooperation on oil and LNG stockpiles, emergency energy swaps and security, and in August 2026 their officials pledged closer macroeconomic coordination after an unusually coordinated foreign-exchange intervention.

The history did not disappear.

The strategic room did.

That, to me, is the most interesting thing about post-peak Korea.

The country did not suddenly acquire these dependencies in the 2020s.

The rise had made them feel less important. The slowdown makes them visible again.

Now look at China in the 2020s

China today sits in almost the opposite psychological position.

Its economic growth is already slowing, but its international evidence of ascent is still accumulating.

China accounted for 32% of all global manufacturing value added in 2024.

That is not merely first place.

It is more than the United States, Japan, Germany and South Korea combined.

In 2025, China produced nearly 75% of the world’s electric cars. It produced more than 80% of the world’s battery cells. Chinese battery companies supplied almost three-quarters of the batteries deployed in electric cars globally.

Those are extraordinary numbers.

And importantly, they are changing prestige rather than merely production statistics.

BYD is no longer interesting because China can manufacture cheap cars.

Huawei is no longer interesting merely because it survived sanctions.

Chinese AI models are no longer evaluated solely as cheaper imitations of American models.

Chinese drones, batteries, EVs, robots and industrial systems increasingly force foreign competitors to benchmark against China.

That is the Korea-2010s feeling.

The old status assumption—

foreign means technologically superior—

starts breaking down.

And the shift is beginning to show up outside factories.

China recorded 35.2 million foreign visits in 2025, up strongly from the previous year. More than 30 million foreign entries used visa-free policies, up almost 50% in one year.

Meanwhile 495,000 Chinese students returned from overseas study in 2024, up 19.1% in a single year. Since 2012, the Ministry of Education says 5.63 million overseas students have returned.

Even foreign opinion is becoming less uniformly hostile among younger people.

Pew’s 2026 polling found favorable views of China among 61% of Canadians aged 18–34, versus 39% among those over 50. In Britain the split was 54% versus 37%; in France, 51% versus 23%; in Mexico, 70% versus 44%. This is not yet Korean-style cultural affection, and geopolitics obviously distorts the comparison. But it does suggest that younger outsiders are updating their mental picture of China faster than older cohorts.

This is what I mean by peak esteem.

Not that everything inside China is going well.

Not that Chinese people are uniformly optimistic.

And certainly not that China has reached maximum economic power.

It means that around the late 2020s, China may receive the maximum psychological dividend from several decades of accumulated rise.

Foreigners discover the factories after they have already been built.

They discover Shenzhen after it is already rich.

They discover Chinese EVs after the supply chain has already been assembled.

They discover Chinese AI after the research ecosystem has already matured.

Prestige arrives late.

Which is exactly why it can peak just as the underlying growth machine is slowing.

The IMF currently projects Chinese growth falling from 5.0% in 2025 to 3.4% by 2030.

So the China of 2030 could simultaneously be growing at barely one-third of its old miracle-era rate and enjoying the highest international technological prestige in its modern history.

That would be very Korean.

Then comes the 2030s

This is where the analogy becomes more interesting than the standard “India rises, China ages” story.

The IMF has modeled Chinese potential growth at only around 2.8% a year during 2031–40 without major structural reforms, down from roughly 3.8% during 2025–30. It also models a much better reform path, so this is not destiny. But it gives us a plausible baseline for what a post-peak decade actually looks like.

The OECD reaches a related conclusion from another direction: East Asia’s share of global output continues rising until the early 2030s, then begins declining. China drives most of that reversal.

That would make the early 2030s a surprisingly clean candidate for the turn.

And once the turn happens, I think the Korean pattern reappears.

Chinese companies start succeeding outside China

Today, the strange thing about Chinese EV dominance is how Chinese it still is.

In 2024, less than 2% of the electric cars made by Chinese manufacturers were produced outside China.

That will almost certainly change.

The battery industry already shows the direction.

In 2024 China held roughly 85% of global battery manufacturing capacity. Based on committed projects, the IEA expects geographical diversification to reduce that to roughly two-thirds by 2030.

But Chinese ownership does not disappear. In Europe specifically, Chinese companies’ share of battery manufacturing capacity could rise from less than 10% in 2024 to more than 30% by 2030.

That is the post-peak paradox in numerical form.

Chinese firms become more global.

Chinese territory becomes less dominant.

By the 2030s the same logic could spread from batteries into cars, robotics, machinery, solar equipment and electronics.

Europe tells Chinese manufacturers: build here.

Brazil tells them: build here.

Indonesia tells them: build here.

India tells them: if you want this market, localize.

Chinese corporations may comply and prosper.

But China itself captures less of the next factory, the next industrial worker and the next round of capital investment.

Korea is beginning to confront this distinction through Samsung, Hyundai and LG.

China could face it at continental scale.

The export machine stops looking purely like power

China’s enormous trade surplus currently looks like evidence of industrial superiority.

And it is.

But there is another interpretation that becomes more important if domestic growth weakens.

A country that produces far more manufactured goods than its own consumers absorb needs foreigners willing to buy the difference.

The IEA already estimated that Chinese electric-car production exceeded domestic demand by 20% in 2025, helping push Chinese EV exports above 2.5 million vehicles, twice the previous year’s level.

During ascent, this is frightening to everyone else:

China can overwhelm our industries.

During the post-peak period, foreign governments begin recognizing the other side of the bargain:

China needs access to our consumers.

That gives them bargaining power.

Tariffs.

Local-content requirements.

Joint ventures.

Technology conditions.

Investment screening.

Production localization.

The exact instruments will differ by country.

But the structural change is important.

The industrial machine China built to reduce foreign dependence can itself become dependent on foreign market access.

Then China discovers how incomplete its financial ascent was

This may become one of the most psychologically uncomfortable comparisons of the 2030s.

China is already the manufacturing center of the world.

Yet in the third quarter of 2025, the renminbi accounted for less than 3% of global trade settlement, around 8% of trade finance, and only about 2% of global foreign-exchange reserves.

That gap is easy to tolerate when China is growing at 5%, factories are gaining share and capital wants exposure to the Chinese growth story.

It becomes much more conspicuous in a 2–3% growth world.

Imagine China in 2037: still producing perhaps more industrial goods than any country in history, yet Chinese firms and wealthy households still care intensely about access to dollar assets, global financial centers and foreign capital.

Korea built Samsung without building a globally important won.

China may discover that even manufacturing on a superpower scale did not automatically create a Chinese financial system of comparable international weight.

That would be a genuine post-peak revelation.

Resource dependence starts looking different too

China is much more resource-secure than Korea. It has coal, enormous renewable capacity, nuclear power and continental depth.

But the world's largest industrial system consumes resources on a scale no other country has to manage.

Oil and gas from abroad.

Iron ore.

Copper.

Bauxite.

Agricultural commodities.

Feed.

Various specialty minerals.

A large portion arrives across maritime routes extending through the Indian Ocean and beyond.

During the rise, that looks like globalization.

During a period of strategic competition and slower growth, it starts looking more like constraint.

China can build an enormous navy.

It cannot cheaply make the Persian Gulf, Indian Ocean, Southeast Asian sea lanes and every major commodity-producing region politically Chinese.

That difference matters.

The post-peak realization may be:

We became the world’s largest industrial power without becoming sovereign over the global system that feeds that industry.

That is not Korea’s precise problem.

But it is the Chinese equivalent.

And China may suddenly need countries it spent the 2020s intimidating

This is perhaps the closest analogy of all to Korea rediscovering Japan.

An ascending China can afford to imagine that time solves strategic problems.

Japan will eventually adjust.

South Korea will increasingly fall into China’s economic orbit.

Europe cannot afford to decouple.

Southeast Asia will accommodate the regional giant.

American relative power will keep eroding.

But a post-peak China has to calculate differently.

If growth is structurally below 3%, manufacturing is slowly decentralizing, foreign capital has alternatives and the international coalition around China is hardening, then Beijing has more reason to ask:

Can we really afford permanent hostility with Japan?

Can we afford Europe treating China primarily as a security problem?

Can we afford India becoming a permanent strategic adversary?

Can we afford Southeast Asia systematically reducing its reliance on Chinese supply chains?

That is the diplomatic equivalent of Korea needing Japan again.

Nationalist grievances do not disappear.

The country simply has less freedom to indulge all of them simultaneously.

The Korea–China symmetry is sharper than it first appears

Put the two cycles side by side:

This is why I think the analogy is more useful than another demographic forecast.

We already know China is aging.

We already know India will become larger.

Those observations tell us remarkably little about what post-peak China will feel like.

Korea gives us a more interesting model.

The post-peak decade is the decade when a country discovers that many of the powers it thought it had acquired were actually conditional.

Industrial power depended on markets.

Corporate power did not guarantee domestic production.

Manufacturing strength did not create monetary power.

Technology did not create energy independence.

Military capability did not eliminate alliance or geopolitical constraints.

And historical antagonisms that felt affordable during ascent suddenly become expensive.

That is what Korea’s 2020s are beginning to reveal.

The real change is the question people ask

A Korean in 2013 could reasonably ask:

How much more important will Korea be in ten years?

A Korean in 2026 increasingly has reason to ask:

Which parts of Korea’s current position can we still hold in ten years?

That is the turn.

China may cross it in the early 2030s.

A Chinese person in 2027 can still plausibly look ten years ahead and assume that China will be more technologically important, more industrially dominant and harder for other countries to resist.

By 2037, the psychologically characteristic question may be different:

How much of what we achieved by 2030 can we preserve?

China does not have to collapse for that to happen.

Its cities can remain magnificent.

Its companies can remain globally important.

Its military can continue getting stronger.

Its culture may actually become more internationally influential.

Its citizens can keep getting richer.

Relative decline requires something much simpler:

ten years stop reliably making China more powerful relative to everyone else.

Once that happens, the entire interpretation of the country changes.

A factory moved overseas is no longer merely globalization. It looks like hollowing out.

A wealthy family moving assets abroad is no longer merely diversification. It looks like lost confidence.

A compromise with Japan is no longer tactical pragmatism. It looks like reduced room for maneuver.

Dependence on foreign markets is no longer proof of export strength. It becomes vulnerability.

And a technological sector China merely retains no longer feels like another conquest.

It becomes something that must be defended.

That is what I mean by China’s Korea moment.

The 2020s may be the decade when China receives the maximum prestige dividend from forty years of ascent. The 2030s may be the decade when it discovers just how many of the apparent freedoms created by that ascent were never entirely its own.

For most of the last forty years, American capitalism has seemed to move in one direction.

More competition.

More financial discipline.

More layoffs.

More outsourcing.

More venture capital.

More winner-take-all technology markets.

More pressure on every employee, company and city to justify its existence economically.

A company announces that artificial intelligence will allow it to eliminate 20% of its workforce and Wall Street celebrates.

A startup destroys an incumbent and Silicon Valley celebrates.

A forty-year-old employee whose productivity no longer justifies his compensation gets fired.

A company sitting on excess labor or capital is told to return it to shareholders.

For roughly forty years, the underlying rule has been remarkably consistent:

Slack is failure.

Capital should constantly move toward its highest return.

Labor should constantly move toward its highest productivity.

Companies should constantly face the possibility of replacement.

And if technology can eliminate a million jobs, the assumption is that the economy will eventually produce something better for those workers to do.

I increasingly wonder whether this regime has a historical endpoint.

Not because capitalism disappears.

Not because AI fails.

And certainly not because American finance becomes weaker.

Quite the opposite.

The system may eventually change because it succeeds.

My previous essay argued that the China shock could force the United States to turn the advanced allied world into something much closer to a single American-centered strategic system. If that succeeds, the next question becomes stranger:

What happens to American capitalism after the external competitor that justified forty years of disruption no longer looks capable of replacing it?

I suspect the answer could be an American economy that remains technologically extraordinary and financially dominant, but becomes more concentrated, more politically managed, more protective of employment and significantly less tolerant of creative destruction.

The transition might look surprisingly Japanese.

But at American scale.

The Moment of Victory Probably Comes in the 2030s

China does not have to collapse.

That is the wrong threshold.

The relevant moment comes when corporations, financial markets and governments stop organizing themselves around the expectation that China will eventually replace the American-centered system.

That could happen substantially before China becomes weak in absolute terms.

And there are already reasons to think the early-to-mid 2030s could be the critical window.

China's official population fell by 3.39 million people in 2025.

Births fell to 7.92 million against 11.31 million deaths.

Twenty-three percent of the population is already 60 or older. (National Bureau of Statistics of China)

The IMF is not forecasting a sudden Japanese-style crash.

It is forecasting something more useful for this argument: gradual structural convergence toward much slower growth.

Its February 2026 baseline has Chinese real GDP growth falling from 5.0% in 2025 to:

YearIMF China real-GDP growth projection20264.5%20274.0%20283.9%20293.7%20303.4%

The IMF attributes that deceleration to a shrinking labor force, decreasing returns to investment and slower productivity growth. (IMF)

There is another number in the same report that receives less attention.

The IMF's broad measure of China's augmented government debt—including local-government financing vehicles and related off-budget liabilities—rises from an estimated 126.6% of GDP in 2025 to 153.7% by 2030 under its baseline. (IMF eLibrary)

That does not mean China is about to become insolvent.

It means the old combination of:

labor-force expansion + property + infrastructure + debt-financed investment + export-led convergence

gets progressively harder to repeat.

So I would think about the next fifteen years roughly like this:

PeriodPossible political-economic phase2026–2030Maximum China shock: AI, defense, energy, manufacturing and capital mobilization2030–2035Tipping period: structural Chinese slowdown becomes harder to dismiss2035–2045If the American bloc holds together, the expectation of Chinese replacement could break2040s onwardPost-competition political economy begins to emerge

The exact date is unknowable.

But I would put 2035 near the center of the range where the narrative could change.

Not:

China is finished.

Rather:

China is still enormously powerful, but it probably isn't going to become the operating system of the advanced world.

That psychological transition is sufficient.

The China Competition May Make America More Disruptive First

Nothing in this thesis implies a sleepy America over the next ten years.

The opposite seems more likely.

As long as policymakers genuinely believe technological leadership is existential, creative destruction remains strategically valuable.

America needs:

• frontier AI;
• autonomous weapons;
• robotics;
• nuclear power;
• biotechnology;
• semiconductor capacity;
• space systems;
• new materials.

Government therefore has a reason to tolerate extreme experimentation.

If an unknown company can create something that Boeing, Lockheed, Pfizer or Microsoft failed to create, Washington wants that company to exist.

If an AI company needs tens of billions of dollars immediately, capital gets mobilized.

If automation eliminates a category of work but increases national technological capacity, government has reason to tolerate the disruption.

During the competition phase, the answer to almost every objection is:

China.

Why tolerate extreme founder wealth?

China.

Why subsidize semiconductor companies?

China.

Why allow AI companies to accumulate extraordinary power?

China.

Why rebuild defense production?

China.

Why accept large amounts of creative destruction?

Because losing the technological race is perceived as worse.

This is mobilization capitalism.

But Today's Venture Boom Is Already Becoming Something Different

The venture-capital numbers are particularly interesting because they show that:

more innovation capital does not necessarily mean broader entrepreneurial dynamism.

U.S. venture investment reached $320 billion in 2025, the second-highest annual total ever.

That sounds like an extraordinary startup boom.

Look underneath it.

Just 487 mega-deals of $100 million or more accounted for 67% of all venture dollars.

Those deals were only 3.2% of deal count.

Remove them and the remaining roughly 14,865 deals received about $105 billion—much closer to a normal late-2010s venture market.

The five largest companies alone—OpenAI, CoreWeave, xAI, Anthropic and Databricks—raised nearly $60 billion. (NVCA)

AI accounted for 65.4% of U.S. venture deal value.

And the concentration also exists one layer above the startups.

Only 101 first-time venture funds formed in 2025, down almost 78% from 457 in 2021.

Meanwhile the ten largest funds captured 32.9% of all VC fundraising, compared with 13% four years earlier. (NVCA)

That is a very peculiar form of dynamism.

Capital deployment is enormous.

Technological ambition is enormous.

Yet progressively larger fractions of the money are being allocated by fewer institutions into fewer organizations.

The system is becoming:

more technologically aggressive and more financially concentrated at the same time.

That may be exactly the bridge toward the next regime.

America Was Already Becoming Less Entrepreneurial Before AI

The popular image of the United States is still:

startups continually replace old companies.

The long-run data are less romantic.

Census Bureau research finds that approximately 90% of U.S. workers were employed by mature firms by 2019.

The share of workers employed by firms with at least 100 employees increased from about 41% in 1978 to 48% in 2019.

The Census Bureau's conclusion is straightforward: employment has become progressively concentrated in older firms. (Census.gov)

High-growth firms have also become less common.

The share of U.S. firms classified as high-growth fell from just under 20% in 1978 to below 13% in 2020.

Among continuing firms, the share classified as high-growth fell from 4.8% to 2%. (Census.gov)

And by 2023, an NBER analysis found that America had only about half as many publicly listed firms per capita as other developed economies. (National Bureau of Economic Research)

In other words:

the post-1980 era celebrated creative destruction culturally while gradually producing a more incumbent-heavy corporate structure economically.

The next regime would not need to create concentration from nothing.

It would be accelerating something already underway.

The Question Is What Happens Once Concentration Becomes Strategically Useful

Today we usually interpret concentration as a failure of competition.

But consider the strategic logic from Washington's perspective.

Imagine a future American AI company:

• employs 300,000 people;
• spends $70 billion annually on R&D;
• supplies U.S. defense systems;
• operates critical NATO infrastructure;
• generates enormous profits from foreign markets;
• supports thousands of domestic suppliers;
• maintains data centers in twenty states.

Now imagine a startup appears with technology capable of destroying that company.

The America of 1998 might say:

Excellent.

The America of 2045 may ask a different question:

Do we actually want this institution destroyed?

Once an incumbent becomes:

• an employer;
• a research laboratory;
• a national-security contractor;
• a tax base;
• a foreign-rent collector;

its survival acquires political value independently of shareholder returns.

That is where the logic of creative destruction begins reversing.

High R&D Does Not Require Startups

This is perhaps the most important economic fact underlying the entire argument.

The United States already conducts most of its research inside corporations.

In 2024, businesses performed $769 billion of U.S. R&D, representing 77% of all American R&D performance.

Businesses also funded 75% of total U.S. R&D. (NCSES)

That means a future decline in startup dynamism does not mechanically imply technological stagnation.

An economy can have:

fewer new corporate institutions

while simultaneously having:

enormous research expenditure.

Microsoft can research.

Nvidia can research.

Aerospace giants can research.

Pharmaceutical companies can research.

Defense firms can research.

The question is not whether innovation disappears.

The question is what kind of innovation remains.

Japan Shows That High R&D and Low Dynamism Can Coexist

Japan is useful here for a different reason than in my previous essay.

The interesting post-1990 fact is not that Japan stopped doing research.

It did not.

The OECD's 2024 assessment still describes Japanese business dynamism as weak, with relatively few startups and insufficient exit of low-productivity firms. (OECD)

Historically, Japan's annual firm-entry rate sat around only 4–5%, far below rates elsewhere in the advanced world. Firms more than ten years old accounted for roughly three-quarters of its small enterprises. (OECD ONE)

Yet Japan remains one of the world's most research-intensive economies.

That is the distinction.

A system can continue producing:

• better batteries;
• better automobile components;
• better robotics;
• better materials;
• better manufacturing processes;

without continually producing:

the next Toyota that destroys Toyota.

The technological frontier can continue moving while the institutional hierarchy barely moves.

That may be the strange destination of American capitalism.

The Startup Becomes a Supplier Rather Than a Successor

Imagine Silicon Valley in 2050.

Startups still exist.

A founder discovers:

• a new AI architecture;
• a robotic-control system;
• a cancer treatment;
• a military sensor;
• a new semiconductor material.

But instead of becoming the next Microsoft, the likely successful exit is:

Microsoft buys it.

Lockheed buys it.

Pfizer buys it.

Nvidia buys it.

The startup becomes an external laboratory for the national champion.

Venture capital increasingly functions as:

outsourced corporate R&D.

The founder can still become extremely rich.

Experimentation can remain intense.

But corporate turnover falls.

That produces:

high technological progress

without:

high institutional disruption.

The distinction is critical.

AI Makes the Employment Question Immediate

This isn't merely a 2045 thought experiment.

We can already see hints of the employment tension.

Stanford researchers using payroll data covering millions of American workers found no evidence as of mid-2026 of economy-wide AI job destruction.

But they found something narrower and potentially important.

Among workers aged 22–25 in highly AI-exposed occupations, employment was approximately 19% below where it would have been if it had kept pace with young workers in less-exposed occupations.

The researchers found that the adjustment was occurring primarily through reduced hiring, rather than mass firing of existing experienced workers. (Stanford Digital Economy Lab)

That is almost a miniature version of the political choice the country could eventually confront.

AI does not have to fire the existing employee.

The company simply stops hiring the next one.

From the shareholder's perspective, that can be excellent.

From the perspective of the state, it creates a different problem.

AI Can Also Make Ordinary Workers More Productive

The employment outcome is not technologically predetermined.

One of the most influential early workplace studies looked at 5,179 customer-support agents.

AI assistance increased productivity by about 14% overall.

But novice and lower-skilled workers improved by 34%.

Highly experienced workers received relatively little benefit. (National Bureau of Economic Research)

That's important because AI can support two very different economic models.

Model One: substitution

100 workers become 60.

The company produces the same output.

Margins rise.

Model Two: augmentation

100 workers remain.

They produce substantially more output.

Or they use part of the productivity gain for:

• better service;
• shorter hours;
• additional customers;
• more experimentation;
• more human oversight.

The technology does not determine which equilibrium society chooses.

Institutions do.

Washington May Eventually Prefer Augmentation

The government's incentives could change sharply as the fiscal pressure gets worse.

CBO's 2026 baseline projects federal debt held by the public rising from 101% of GDP in 2026 to 120% in 2036.

The government is expected to borrow another $26 trillion between the end of 2025 and the end of 2036.

Net interest costs rise from roughly $1 trillion in 2026 to $2.1 trillion in 2036.

By the end of CBO's 30-year projection, debt reaches 175% of GDP. (Congressional Budget Office)

That is a government with powerful reasons to care about employment.

A world in which AI generates gigantic corporate profits while eliminating taxable middle-class income produces an awkward fiscal bargain.

The state receives somewhat greater corporate taxation.

But it also receives:

• fewer payroll taxes;
• less labor income tax;
• greater demand for transfers;
• larger healthcare obligations;
• greater political instability.

At the same time, interest payments are absorbing an ever-larger fraction of government revenue.

The government may therefore prefer:

slightly lower corporate efficiency + broader employment

to:

maximum profit per employee + permanent redistribution to the unemployed.

That would be an enormous break from the economic philosophy of the last forty years.

The Deal Could Become Monopoly in Exchange for Employment

The foundations of this arrangement are already visible.

Consider the CHIPS program.

The federal government did not simply say:

Here is money. Maximize shareholder returns.

Its award to Micron included up to $6.165 billion in direct federal funding supporting a long-term domestic investment plan.

The projects are expected to create roughly 20,000 jobs.

Micron's New York and Idaho projects use project labor agreements and registered apprenticeships.

The earlier agreement also included at least $40 million specifically for workforce development. (U.S. Department of Commerce)

TSMC's Arizona agreement similarly combines up to $6.6 billion in federal funding with more than $65 billion in planned private investment and more than 20,000 expected jobs. (U.S. Department of Commerce)

And the government's semiconductor R&D institution, the National Semiconductor Technology Center, received a $6.3 billion, ten-year federal award explicitly covering both R&D and workforce development. (U.S. Department of Commerce)

These programs are not proof that America is already becoming corporatist.

But notice the logic.

Government gives:

• capital;
• loans;
• protection;
• demand;
• infrastructure.

Corporations promise:

• domestic production;
• strategic capability;
• jobs;
• training;
• investment.

That is already a different political relationship from:

the market decides.

Imagine That Bargain After America Wins

Now move forward fifteen years.

An American technology company earns enormous rents from:

• AI exports;
• cloud;
• intellectual property;
• finance;
• defense technology;
• pharmaceuticals.

It operates within a foreign market protected by the American military and trade system.

Government can say:

Your profitability is not purely private achievement.

The national system created part of your franchise.

And therefore:

you owe something to the national system.

Not necessarily through nationalization.

The company remains private.

Its shareholders remain wealthy.

Its executives remain powerful.

But privileges become conditional.

Want access to government procurement?

Maintain domestic employment.

Want access to export-controlled technologies?

Keep strategic R&D in America.

Want subsidies?

Train workers.

Want protected access to allied markets?

Maintain domestic production capacity.

Want favorable regulatory treatment?

Do not eliminate 100,000 employees simply to raise margins another four points.

The firm remains capitalist.

But shareholder value is no longer the sole political objective.

That is what I mean by corporate nationalism.

Slack Becomes a Feature

This would be the clearest discontinuity from post-1980 America.

Imagine a national champion employs 300,000 Americans.

Its next-generation AI systems make it possible to produce the same output with 180,000.

The existing ideology says:

Fire 120,000.

The mature hegemonic system might respond:

Why?

Suppose the company already earns a 30% operating margin.

Suppose it enjoys protected access to an enormous allied market.

Suppose the state values employment.

Then some productivity gains can become:

• shorter hours;
• internal training;
• additional research;
• greater redundancy;
• better human service;
• regional offices;
• longer-term experimentation;
• more generous staffing.

The economist calls it organizational slack.

The politician calls it stable employment.

The employee calls it a career.

And the corporation can afford it because its monopoly rents are being generated partially abroad.

America Becomes a High-Tech Rentier Economy

The export sector does not need to employ everyone directly.

That is one of the more counterintuitive implications of AI.

Imagine that a relatively small number of American workers and machines generate enormous revenues from:

• AI;
• cloud software;
• finance;
• aerospace;
• pharmaceuticals;
• intellectual property;
• defense.

Those revenues become American national income.

They appear as:

• wages;
• profits;
• taxes;
• dividends;
• investment;
• construction;
• domestic purchasing power.

Most Americans can then continue working in completely ordinary sectors:

• healthcare;
• restaurants;
• hospitality;
• home construction;
• logistics;
• education;
• entertainment;
• personal services.

The waiter does not need to build the AI model.

His customers just need enough purchasing power to buy dinner.

That purchasing power can ultimately trace back to American technology rents earned overseas.

In one respect, it resembles an oil economy.

A relatively narrow export sector finances a much larger domestic service economy.

Except America exports:

intelligence, technology, finance and security rather than petroleum.

Wall Street Could Become Bigger While Capitalism Becomes Less Dynamic

This sounds contradictory only if we equate finance with entrepreneurship.

They are not the same.

Wall Street could become substantially more powerful in the post-competition economy.

But finance changes jobs.

The last forty years idealized finance as:

identify opportunity → finance disruptor → replace incumbent.

The mature system increasingly uses finance to:

manage assets → finance national champions → refinance infrastructure → acquire competitors → distribute rents.

Asset management becomes more important.

Private credit becomes more important.

Infrastructure finance becomes more important.

Pensions become more important.

Insurance becomes more important.

M&A becomes more important.

Venture capital survives, but increasingly as part of a concentrated institutional financial system.

This is why today's venture concentration matters.

It may be showing an early transition from:

entrepreneurship financed by capital

toward:

capital allocating gigantic sums among strategically important institutions.

The Meritocratic Tournament Could Soften

Another consequence would be social.

American professional life since the 1980s increasingly became a tournament.

Get into the strongest school.

Join the strongest company.

Move to the strongest city.

Work harder.

Switch employers.

Accumulate equity.

Keep moving.

If you stop improving, somebody younger, cheaper or more talented replaces you.

This system maximizes competitive intensity.

It also produces extraordinary insecurity.

A national-champion economy has less reason to organize labor that way.

Internal labor markets can return.

Companies train employees rather than constantly recruiting externally.

A competent middle-aged engineer becomes an asset rather than excess payroll.

The corporation once again functions partly as a social institution.

The strange endpoint could be:

1955 employment norms running on 2050 technology.

Not literally lifetime employment.

But much less expectation that healthy corporations should continually prove their efficiency through layoffs.

The Middle Class Could Return Through Institutional Rents

This does not require recreating Detroit in 1965.

The important feature of the old industrial middle class was not that every factory worker possessed exceptional individual productivity.

It was that millions of ordinary workers were embedded in extraordinarily productive institutions.

A worker's wage was partly a claim on:

the rent generated by the corporation.

Something similar could happen again.

The corporation earns huge AI or financial rents.

Workers receive part through:

• high wages;
• stable employment;
• benefits;
• training;
• pensions;
• shorter working time.

The institution becomes productive enough to carry a broad middle.

That would directly reverse one of the major assumptions of the post-1980 labor market:

every employee must individually justify their compensation through continuously measurable marginal productivity.

Inequality May Peak During the Competition

I would not expect the transition to begin egalitarian.

The China shock could actually create another decade of spectacular inequality.

The winning assets are likely to be concentrated:

• AI equity;
• semiconductor ownership;
• defense technology;
• energy;
• venture funds;
• intellectual property.

The state tolerates enormous fortunes because technological mobilization matters more than distribution.

But after the external threat recedes, the political justification gets much weaker.

The government can ask:

Why exactly does this protected national champion require another tax cut?

Or:

Why should a company earning enormous foreign rents eliminate 80,000 taxpayers merely to raise its operating margin?

Housing could matter enormously too.

We have spent decades treating rising house prices as household wealth creation.

A mature rentier America may eventually prefer twenty years in which:

wages rise faster than land.

Housing prices do not need to collapse.

They can simply stop outperforming income.

That alone would transfer enormous relative economic power toward younger workers.

So the post-victory society could still contain billionaires and enormous corporations while becoming less unequal because the middle begins catching up.

The State Becomes Stronger Without Becoming an Administrative Monster

This is why I would not expect the endpoint simply to be European-style bureaucracy.

AI itself can automate administration.

The more plausible American mechanism is governance through conditional corporate privileges.

Washington does not have to employ another million civil servants.

It can tell companies:

Want the contract? Maintain domestic production.

Want the subsidy? Train workers.

Want export privileges? Keep strategic research here.

Want protection from foreign competitors? Carry domestic capacity.

The state determines outcomes.

Private institutions implement them.

That's a stronger state without necessarily being a larger clerical state.

The CEO Changes Too

The heroic executive of the 2010s says:

We move fast.

We disrupt ourselves.

We cut unnecessary labor.

Nobody has a right to a job.

The prestigious CEO of 2050 could sound completely different:

We employ 350,000 Americans.

We invest tens of billions in research.

We operate facilities in twenty states.

We train thousands of engineers and technicians.

We provide infrastructure critical to the alliance.

We are an American institution.

The corporation becomes proud of permanence.

Scale becomes legitimacy.

Employment becomes legitimacy.

R&D becomes legitimacy.

National usefulness becomes legitimacy.

That is far closer to the self-image of the old Bell System or General Electric than to the self-image of a 2015 SaaS startup.

The Darker Side Is Obvious

There is a reason America historically celebrated creative destruction.

Protected incumbents become complacent.

Government contracts become political favors.

Corporate executives and regulators become indistinguishable.

Startups get bought before they can become competitors.

Lobbying replaces invention at the margin.

The system develops enormous capacity to improve existing technology but less ability to imagine entirely new institutional forms.

This is where the comparison with post-1990 Japan becomes uncomfortable.

The future America could still produce extraordinary:

• AI;
• pharmaceuticals;
• aircraft;
• robots;
• materials;
• weapons.

But the companies producing them might be largely the same companies decade after decade.

The technological frontier keeps moving.

The ownership hierarchy barely does.

The Historical Discontinuity

The last forty years have roughly said:

1980–2035

• competition;
• globalization;
• financial discipline;
• outsourcing;
• immigration;
• labor mobility;
• startups;
• venture capital;
• layoffs;
• shareholder value;
• creative destruction.

The next equilibrium could increasingly say:

2035–2060

• national champions;
• protected allied markets;
• high corporate R&D;
• stable employment;
• strategic production;
• corporate obligations;
• AI augmentation;
• patient finance;
• mergers instead of replacement;
• state-business coordination;
• rent distribution;
• managed dominance.

The first system asks:

What deserves to survive?

The second asks:

What must be preserved?

The China Shock Could Create the System That Ends the China Shock

There is an irony here.

China may force America into one final extraordinary period of disruptive capitalism.

The threat produces:

• AI laboratories;
• defense startups;
• semiconductor factories;
• nuclear companies;
• robotics;
• biotech;
• giant venture rounds;
• enormous fortunes.

The new companies help America win the competition.

And then the political argument for continuing to destroy institutions begins disappearing.

The startups become national champions.

The founders become establishment figures.

The venture funds become giant financial institutions.

Temporary subsidies become permanent industrial architecture.

Emergency supply chains become permanent supply chains.

The American system gradually shifts from:

How do we move faster?

toward:

How do we preserve what we have built?

That could be the real end of the China shock.

Not China's collapse.

Not capitalism's collapse.

And not a return to 1955.

Something stranger:

a technologically advanced,

financially dominant,

highly automated,

corporately concentrated America

that still spends enormous amounts on R&D,

but increasingly values stable employment and institutional continuity over the constant destruction of yesterday's winners.

The most disruptive phase of modern American capitalism may end not because disruption stopped working.

It may end because there is finally nobody left America urgently needs to outrun.

A few days ago, I thought the emerging American strategy was relatively simple.

China had become the only country capable of challenging the United States across industry, technology and military power.

So America would narrow its perimeter.

It would stop trying to manage the entire postwar world and concentrate on the countries most useful for competing with China.

Japan would move inward.

Australia would move inward.

Mexico would become the low-cost production floor.

Canada would supply energy and resources.

Europe, meanwhile, would become increasingly secondary.

That was the argument I made in my previous essay. I imagined a harder American core centered on the United States, Canada, Mexico, Japan, Australia and Britain, with continental Europe sitting farther outside the deepest layer.

I increasingly think that is wrong.

Not because Europe has suddenly become more useful militarily against China than Japan.

It hasn't.

The mistake was thinking America can afford to compete with China as America.

It probably cannot.

The real competition is increasingly one of scale.

And once you look at the numbers that way, Europe becomes almost impossible for Washington to abandon.

The more plausible American objective is not:

Shrink the empire until only the most strategically useful allies remain.

It may instead be:

Turn the entire advanced allied world into something capable of acting like one economic system—while making sure the United States remains its command center.

That produces a much larger bloc than I previously imagined.

But it also produces a much more hierarchical one.

And strangely, it may mean America squeezes Europe harder while allowing Japan to become stronger.

America Has a Scale Problem

For most of the postwar era, the United States did not really have to think this way.

The Soviet Union could threaten America militarily.

It could build missiles, tanks, satellites and nuclear weapons.

But it never created a civilian economic system remotely comparable to the American one.

China is different.

China is simultaneously:

• a continental-scale economy;
• the world's largest manufacturing system;
• a huge consumer market;
• an increasingly sophisticated technological power;
• and now one of the two largest scientific systems on Earth.

The last part may be the most important.

In 2024, U.S. research and development expenditure was approximately $1.01 trillion in purchasing-power-adjusted terms.

China was approximately $1.03 trillion.

By that measure, the two countries have essentially reached parity. The OECD itself now says China's R&D expenditure caught up with and slightly surpassed America's in 2024, although the exact comparison varies depending on the purchasing-power methodology used.

And research output is moving in the same direction.

In the 2026 Nature Index rankings, based on 2025 research output in the journals the index tracks, China ranked first overall with roughly twice the fractional research share of the United States. China also ranked first in natural sciences, chemistry, physical sciences and applied sciences.

This does not mean China has already surpassed America in every meaningful dimension of science.

It clearly hasn't.

America still dominates many elite institutions, commercial research networks, biotechnology ecosystems, AI companies and highly influential journals.

But the scale shift is unmistakable.

America is no longer competing with a country that possesses:

30% of American research capacity.

It is increasingly competing with another civilization possessing roughly comparable aggregate research resources.

That changes the strategic problem completely.

America Alone Is No Longer the Relevant Unit

Now add Europe.

The European Union spent about $612 billion PPP on R&D in 2024.

Japan spent about $234 billion.

South Korea spent about $162 billion.

Taiwan spent another $77 billion.

Put those together and the picture changes dramatically.

R&D system, 2024Approx. PPP-adjusted R&DChina$1.03TUnited States$1.01TEU-27$612BJapan$234BSouth Korea$162BTaiwan$77B

America against China is roughly:

$1 trillion versus $1 trillion.

But an integrated American system incorporating Europe and the major advanced East Asian allies approaches:

$2 trillion versus $1 trillion.

Suddenly the competition looks very different.

The same logic applies elsewhere.

China has population scale.

America has alliance scale.

China has a continental industrial ecosystem.

America has the ability—at least potentially—to combine:

• American software and capital;
• European science and wealth;
• Japanese machinery and materials;
• Korean semiconductors;
• Taiwanese fabrication;
• Australian and Canadian resources;
• Mexican manufacturing.

That may be America's single largest remaining structural advantage.

Not that America itself is larger than China.

It isn't.

But America sits at the center of a network that can be larger than China if the network behaves coherently.

And that creates the central political problem of the next era:

Having allies is not enough.

America increasingly needs those allies to behave like parts of the same system.

The Difference Between an Alliance and a Political-Economic Unit

This does not necessarily mean a literal United States of America and Europe.

There does not need to be one parliament.

There does not need to be one flag.

Europe does not need to become American territory.

The relevant integration can occur one layer above ordinary domestic politics.

Imagine Europe retaining:

• its own welfare states;
• its own tax systems;
• its own elections;
• its own languages;
• its own local industrial policies.

But on the questions determining global power, the system increasingly behaves as one.

One technology perimeter toward China.

One semiconductor export-control architecture.

One military command framework.

One broadly interoperable defense-industrial base.

One favored capital and investment zone.

One AI and cloud ecosystem.

One sanctions system.

One privileged internal market.

One broad foreign-policy orientation.

That would amount to something approaching political unity at the strategic layer even if constitutional sovereignty survives below it.

And if America is the military, financial and technological center of that system, Washington does not need to formally annex anything.

It needs to ensure that the most important decisions converge.

Europe Is Already Deep Inside the American Capital System

This is where my previous thesis becomes much harder to sustain.

I had imagined America potentially deciding Europe was no longer sufficiently useful and narrowing the strategic perimeter toward the Pacific.

But American capital is already extraordinarily concentrated in Europe.

At the end of 2025, the entire U.S. direct-investment position abroad was approximately $7.14 trillion.

The four largest European destinations alone were:

DestinationU.S. direct-investment positionUnited Kingdom$1.115TNetherlands$1.044TLuxembourg$645BIreland$512B

Together:

about $3.32 trillion.

That is roughly 46% of all U.S. direct investment abroad, sitting in only four European economies.

And that doesn't include Germany, France, Switzerland, Belgium, Spain, Italy or the rest of Europe.

There is an important accounting qualification.

Almost 46% of total American outward direct investment is booked through holding companies, so a trillion dollars booked in the Netherlands or Luxembourg does not mean there are literally a trillion dollars of American factories physically sitting there.

But that actually makes the point more interesting.

Europe is not merely an American manufacturing partner.

It is deeply embedded in the ownership architecture of American capitalism.

The region contains:

• corporate subsidiaries;
• holding structures;
• intellectual-property entities;
• financial operations;
• acquisition targets;
• pharmaceutical operations;
• manufacturing affiliates;
• enormous pools of consumers and corporate cash flow.

And the relationship is still deepening.

Of the $438 billion increase in America's outward direct-investment position during 2025, $350 billion was in Europe.

Meanwhile European companies are enormous investors in America too.

Europe accounted for $116.6 billion, or just over half, of all new foreign direct-investment expenditures in the United States in 2025.

So this is not a loose alliance sitting on top of separate economies.

It is already an unusually dense transatlantic ownership system.

Why Would America Abandon an Asset Base Like That?

This changes how I think about European military disengagement.

Suppose Washington simply says:

Europe no longer matters. Defend yourselves. We're going to Asia.

Europe then has an obvious response.

Build autonomous defense.

Build autonomous capital markets.

Build European cloud infrastructure.

Build European AI champions.

Build independent semiconductor capacity.

Create a stronger euro.

Keep European savings in Europe.

Develop a foreign policy independent of Washington.

Trade with China wherever European interests dictate.

From a European perspective, that would be rational.

But look at the result from America's perspective.

Washington would have voluntarily helped create:

another autonomous advanced economic pole.

And this happens precisely while America is struggling to match Chinese scale.

That makes less sense the more serious the China competition becomes.

If America needs aggregate scale, Europe is not something it can casually discard.

Europe contains too much:

• capital;
• income;
• scientific capacity;
• high-end consumption;
• industrial capability;
• accumulated wealth;
• human capital.

More importantly, American corporations already own enormous claims on that system.

Why would Washington voluntarily convert a deeply integrated capital zone into an independent rival financial and technological pole?

The China Shock Is Different From the Japan Shock

America has experienced something like this before.

But it is important to remember what the Japan shock actually was.

It was not simply:

Japanese companies are taking market share from American companies.

By the late 1970s and 1980s, Japan was producing a much more uncomfortable possibility:

What if a non-Western society had built a better-performing version of modern industrial civilization?

That was the real shock.

Consider life expectancy.

In 1960, Americans still lived longer on average: about 69.8 years in the United States versus 67.7 in Japan.

But Japan closed the gap astonishingly quickly. By roughly 1964–65, Japanese life expectancy had crossed above America's for the first time. By 1980, Japan was at about 76.0 years versus 73.6 in the United States. (countryeconomy.com)

A country that had emerged devastated from war only thirty-five years earlier was now keeping its citizens alive several years longer than the richest country in the world.

Education produced an equally uncomfortable comparison.

In the Second International Mathematics Study around 1981–82, Japanese lower-secondary students averaged about 63.5% correct, compared with 46.0% for American students.

The gaps appeared across essentially every major area:

Among advanced secondary students, Japan also substantially outperformed the United States in algebra and calculus. (ERIC)

This was not a marginal difference.

The median American teenager was living inside a country with vastly more accumulated wealth, famous universities and a much longer industrial history—and yet Japanese mass schooling appeared to be producing considerably stronger mathematical competence.

That fact went directly into America's national anxiety. The 1983 A Nation at Risk report opened by warning that America's “once unchallenged preeminence” in commerce, industry, science and technological innovation was being overtaken, and international mathematics and science comparisons were among its central pieces of evidence. (National Center for Education Statistics)

Then there was research.

Japan was not merely assembling technology invented elsewhere.

Its R&D intensity rose from about 2.0% of GDP in 1980 to roughly 2.9% by 1990.

The United States went from about 2.3% to 2.7% over the same period.

By the end of the decade, Japan was devoting a larger share of its national economy to R&D than America. (ERIC)

And the industrial results were becoming impossible to dismiss.

In semiconductors, American firms held about 57% of the world market in 1980, compared with 27% for Japanese firms.

By 1989 the positions had nearly reversed:

• Japan: 52%
• United States: 35%

Japan had become the world's largest semiconductor producer. (GAO)

The same broad story appeared in automobiles, consumer electronics, machine tools, robotics and manufacturing quality.

Japanese factories became global models for lean production, statistical quality control and continuous improvement.

American companies began importing not merely Japanese products, but Japanese methods of organizing production.

And this is what made the moment psychologically unusual.

Japan was not simply saying:

We can manufacture your inventions cheaply.

It was increasingly saying, through demonstrated outcomes:

Our factories may work better.
Our children may learn more mathematics.
Our people may live longer.
Our infrastructure may function better.
Our firms may invest more patiently.
Our national institutions may be better adapted to the next stage of industrial society.

That is why Ezra Vogel could publish a book in 1979 literally called Japan as Number One: Lessons for America.

The intellectual question was no longer simply:

How can Detroit beat Toyota?

It was:

What does Japan know about running a modern society that America does not?

That was a genuine civilizational-performance shock.

And America reacted accordingly.

It created SEMATECH.

It pressured Japan intensely over semiconductors and market access.

American firms imported Japanese production methods.

Education reform became explicitly linked to national power.

Industrial policy, technological competitiveness and the quality of the American workforce became national-security questions.

But there was one thing Japan could not do.

It could not scale its superior performance into a replacement world system.

Japan had roughly half America's population.

It depended heavily on American military protection.

It had no comparable alliance network.

The yen could not replace the dollar globally.

Tokyo's capital markets could not organize the world's financial system.

Japan could demonstrate that a non-Western society might outperform America on surprisingly fundamental measures of modernity.

But it could not plausibly organize the world around itself.

China changes that.

The Japan shock asked:

What if another society is doing modernity better than we are?

The China shock adds a second question:

What if that society is also large enough to build an alternative world system?

That is the discontinuity.

Japan forced America to become more competitive.

China may force America to become larger than America.

And That Changes Europe's Role

This is where I now depart most sharply from my previous argument.

I previously thought Europe's distance from China made Europe less important.

That remains true militarily.

Germany does not sit beside Taiwan.

France does not control the First Island Chain.

European factories cannot substitute for Japanese geography.

But the conclusion I drew was wrong.

Europe being strategically behind the front line does not necessarily mean America abandons Europe.

It may mean America treats Europe differently from the frontier.

America needs European scale.

But it may not need European strategic autonomy.

In fact, autonomous European capability can directly compete with American power.

Consider several hypothetical European successes.

A European Nvidia strengthens the West.

But it weakens Nvidia.

A European AWS strengthens Western cloud resilience.

But it weakens Amazon.

A deep European capital market strengthens Western finance collectively.

But it reduces New York's centrality.

A powerful euro makes the Atlantic world financially more diversified.

But it weakens the dollar.

An autonomous European defense command makes Europe militarily stronger.

But it reduces American control of the alliance.

A European technology policy independent of Washington gives Europe more options.

But it makes containing Chinese technology harder.

That produces a tension that did not matter nearly as much in the 1990s.

America wants Europe strong enough to add to the system.

But perhaps not so autonomous that Europe becomes another center of the system.

The Ideal American Outcome Is Not a Weak Europe

This distinction matters.

America does not benefit from Europe becoming poor.

A poor Europe:

• buys fewer American products;
• generates less investment income;
• produces fewer scientists;
• contributes less to defense;
• accumulates less savings;
• becomes politically unstable;
• requires more American resources.

The ideal Europe is wealthy.

Possibly extremely wealthy.

But it is wealthy in sectors that do not challenge the American command layer.

Europe could remain world-class in:

• tourism;
• luxury goods;
• specialized machinery;
• cultural industries;
• professional services;
• high-value property;

Its households could remain affluent.

Its historic cities could become even more valuable as global wealth increases.

Its real estate could attract enormous pools of foreign capital.

Its tourism economy could earn substantial external income.

Its governments and companies could borrow from Japanese and other global savings pools.

Europe could remain one of the world's most desirable places to live.

But the highest-rent scalable platforms increasingly sit in America:

• AI;
• software;
• cloud;
• frontier biotechnology;
• capital markets;
• venture capital;
• defense architecture;
• reserve currency;
• strategic intellectual property.

In that arrangement, Europe is not poor.

It is rich but increasingly subordinate at the commanding heights.

America Wants the European R&D System Too

This is another reason Europe cannot simply be discarded.

Remember the research numbers.

Europe's R&D system is roughly 60% the size of America's in purchasing-power terms.

That is enormous.

If Europe becomes strategically independent, America competes with China using approximately one trillion dollars of domestic R&D.

Europe's $600 billion becomes an independent pool.

Some European researchers cooperate with America.

Some cooperate with China.

Some build European competitors.

But suppose the Atlantic technology system becomes much more integrated.

Then European R&D increasingly feeds:

• American-owned companies;
• American cloud infrastructure;
• American AI platforms;
• American capital markets;
• American acquisitions;
• American defense systems.

The scientist does not even need to move to California.

A laboratory in Munich can create value that ultimately accrues through an American corporate ownership structure.

A French biotech company can be acquired by an American pharmaceutical company.

A Swedish startup can scale through U.S. venture capital.

A British AI company can run on American compute and eventually list in New York.

That means America can capture some of Europe's research capacity without physically importing every researcher.

This potentially solves one of America's other emerging problems.

The Old Talent Model May Be Becoming Harder

For several decades, America solved domestic human-capital shortages through an extraordinary mechanism:

recruit from the entire planet.

The best Chinese graduate student could go to Stanford.

The best Indian engineer could move to Silicon Valley.

The best European scientist could join an American laboratory.

This dramatically increased American technological capacity.

But a hard geopolitical division with China eventually makes that model harder.

Chinese students and scientists become security-sensitive.

India may remain strategically autonomous.

Immigration itself becomes politically contested.

The fully global talent market begins breaking apart.

At first glance, that looks disastrous for American science.

But Europe offers an alternative.

Instead of importing every scientist individually, America can integrate a whole allied research ecosystem.

That would still probably reduce the extreme selection intensity of American universities.

America would no longer be drawing as freely from the best people produced by every rival civilization.

But the system-level R&D capacity could remain enormous.

And strangely, that might improve the labor-market position of merely very good Americans.

The American Upper Middle Class Could Actually Benefit

The hyper-global talent system was excellent for maximizing American frontier output.

It was not necessarily excellent for every American professional.

A competent American engineer did not compete merely with other Americans.

He competed with the strongest people willing to migrate from:

• China;
• India;
• Russia;
• Iran;
• Eastern Europe;
• everywhere else.

That raises the quality of the American technological system.

But it also raises the threshold for participating in it.

Now imagine a different arrangement.

America captures more European R&D organizationally.

American companies gain access to an enormous integrated allied market.

Chinese labor-market competition is reduced.

Some Indian competition is reduced.

European researchers increasingly remain in Europe but work inside American-controlled corporate systems.

The quantity of American-controlled high-value activity becomes much larger.

Suddenly there may be more room for the merely excellent American rather than only the globally exceptional one.

The engineer who is clearly above average but not a world-class mathematician.

The technical manager.

The process engineer.

The laboratory operator.

The product engineer.

The defense technologist.

The person capable of participating in sophisticated systems without personally inventing the frontier.

That could regenerate a surprisingly broad high-tech upper-middle class.

Even the Ordinary Worker Might Gain

There is a second domestic effect.

Suppose America not only captures the high-rent technological layer but increasingly insists that strategically important goods sold into the allied market be produced within the trusted system.

Then European demand can support American:

• factories;
• defense plants;
• aerospace production;
• energy exports;
• semiconductor facilities;
• chemical plants;
• data centers;
• machine production.

The mechanism by which an ordinary American worker benefits is not that a high-school diploma magically becomes valuable again.

It is that industrial labor becomes scarce.

If America forces more production into the domestic economy while simultaneously limiting easy replacement through offshoring, companies have to bid for workers.

A completely ordinary worker can earn a strong wage when embedded inside an extremely productive, capital-intensive system.

That was one of the hidden foundations of the old American middle class.

The factory worker did not need to be a genius.

The productive system around him was extraordinary.

So the political economy of a harder American bloc could become surprisingly attractive domestically:

GroupPotential source of gainsCapital ownersPlatform, financial and monopoly rentsScientists / elite engineersLarger integrated research systemOrdinary-good professionalsMore high-value positions inside protected industriesSkilled workersDomestic reindustrialization and labor scarcitySome high-school workersManufacturing, logistics, construction, energy and defense demand

That is a much broader coalition than simply Silicon Valley.

It begins to explain how economic nationalism and continued American hegemony could coexist.

But Why Would Europe Accept This?

This is the obvious problem.

Why would Europeans voluntarily agree to become a rich but subordinate economic zone?

They wouldn't necessarily.

Which brings us to the asset America possesses that Europe still cannot easily reproduce:

military power.

Europe remains deeply dependent on the United States for parts of:

• nuclear deterrence;
• intelligence;
• strategic airlift;
• command architecture;
• missile defense;
• long-range strike;
• satellite infrastructure;
• military logistics.

At the 2025 Hague summit, NATO members committed to moving toward defense and security-related spending equal to 5% of GDP by 2035 while deepening transatlantic defense-industrial cooperation.

Europe is becoming militarily stronger.

But there are two entirely different ways that can happen.

One is:

Europe builds a militarily autonomous third pole.

The other is:

Europe supplies much more military capability inside an American-centered architecture.

Those outcomes are not equivalent.

America should strongly prefer the second.

Because then European taxpayers provide more of the resources while Washington retains much of the strategic leverage.

Military Protection Can Be Converted Into Economic Leverage

This is where the relationship becomes more openly imperial.

Suppose Europe needs continued American deterrence.

America needs Europe to align export controls against China.

Those issues can become connected.

Europe wants access to American AI and semiconductor technology.

America wants European regulation to become friendlier toward U.S. firms.

Those issues can become connected.

Europe wants privileged market access.

America wants more European defense spending.

Connected.

Europe wants U.S. intelligence and military interoperability.

America wants European China policy aligned with Washington.

Connected.

None of this requires a written grand strategy.

It follows naturally from asymmetric bargaining power.

If one side controls something the other side cannot easily replace, that dependency becomes negotiating leverage.

The harsher word is extortion.

Not criminal extortion.

Imperial extortion.

Use a dependency in one domain to extract concessions in another.

And once America needs every marginal advantage it can get against China, why would it voluntarily refuse to use that leverage?

Now We Can Return to the British Empire

This is where the historical analogy becomes useful.

Empires do not treat every subordinate territory equally.

The relationship depends on what the imperial center needs from that territory and what alternatives the subordinate territory possesses.

British Canada and British India illustrate two radically different arrangements.

Not because Canada mattered and India didn't.

India was vastly more important economically.

But Canada sat beside something India did not:

the United States.

That mattered enormously.

Canada's Outside Option

British North America had a huge alternative trading system directly across the border.

The United States was growing rapidly.

Trade flowed across the border.

People migrated across it.

The 1854 Reciprocity Treaty substantially deepened commercial integration between British North America and the United States.

When Washington terminated that agreement after the Civil War, the resulting loss of American market access became one of the pressures encouraging Confederation.

Canadian historical accounts explicitly list fear of American expansion, the loss of U.S. reciprocity and Britain's desire to reduce its direct colonial obligations among the external pressures behind Canadian union.

That means Britain faced an unusual problem.

If London extracted too much from Canada, Canada had somewhere else to turn.

If Britain suppressed Canadian economic development too aggressively, the United States remained next door.

If imperial membership became sufficiently unattractive, the neighboring economy offered an enormous alternative.

The map itself created bargaining power.

So Britain gradually discovered that a locally capable, increasingly self-governing Canada could remain inside the British system more securely than a resentful, tightly controlled one.

Race, settler politics and local institutions obviously mattered enormously to the actual history.

But there was also a strategic logic:

The frontier had an outside option.

That increased the cost of direct control.

Japan Has China Next Door

Now look at Japan.

Japan cannot simply become a Chinese satellite.

The political and security barriers are enormous.

But China is permanently next door.

China is:

• a gigantic market;
• a manufacturing superpower;
• an important trading partner;
• a source of supply chains;
• an alternative technological ecosystem.

Japan can also hedge through:

• Southeast Asia;
• India;
• Australia;
• its own foreign investment networks.

The point is not that Japan can effortlessly defect to China.

It cannot.

The point is that Washington cannot eliminate Japan's surrounding Asian economic geography.

And America simultaneously needs Japan to remain extremely capable in exactly the location where a Chinese challenge would occur.

That combination increases Japan's bargaining power.

America Cannot Afford to Hollow Japan Out

This produces a different American policy toward Japan than toward Europe.

Imagine America successfully relocates every valuable Japanese industry into the United States.

That could increase American GDP.

But eventually the strategy becomes self-defeating.

A semiconductor plant in Arizona cannot defend Okinawa.

A Texas shipyard cannot instantly repair Japanese naval forces during a Pacific war.

An American robotics company does not substitute for an entire functioning Japanese supplier ecosystem sitting beside China.

The United States therefore needs real industrial depth to remain physically inside Japan.

Japan needs:

• shipyards;
• missile production;
• precision manufacturing;
• advanced materials;
• semiconductor equipment;
• energy resilience;
• military logistics.

That means America may have to tolerate exactly the kind of allied industrial capability that it once tried to constrain.

During the Japan shock, a powerful Japanese semiconductor sector primarily looked like a competitor.

During the China shock, a powerful Japanese semiconductor and defense-industrial sector can become part of the strategic balance.

The same capability has acquired a second value.

Commercially it may compete with America.

Strategically it strengthens the American system.

The Frontier Gets a Better Deal

This suggests a general rule.

The closer an ally sits to the rival, and the more America physically depends on that ally's productive capability, the more autonomy Washington may have to tolerate.

Japan can become stronger.

Australia can build more military capability.

Possibly Korea and Taiwan can preserve unusually sophisticated industrial systems.

But there is a catch.

America may tolerate more autonomy of means while demanding less autonomy of alignment.

Japan gets more missiles.

More ships.

More defense production.

More industrial capability.

But those capabilities become increasingly interoperable with the American military structure.

Japan is not being made independent of the system.

It is being made more powerful inside the system.

The ideal frontier ally is not weak.

It is:

strong enough to fight, but sufficiently integrated that its strength reinforces the center.

Europe Faces the Reverse Incentive

Europe sits farther from the primary rival.

That means America gets less strategic benefit from European duplication of American commanding industries.

A Japanese shipyard may directly determine the balance near China.

A European cloud company does not.

A Japanese missile factory may strengthen the First Island Chain.

A European alternative to American financial markets mostly reduces American rents.

So Washington's tolerance for allied competition may increasingly depend on the military value of that competition.

That produces the seemingly strange outcome:

America may become more economically permissive toward Japan while becoming more economically demanding toward Europe.

Not because America likes Japan more.

Because Japan is the frontier.

Europe Could Become the Wealthy Rear

Under this system, Europe does not disappear.

It becomes economically indispensable in a different way.

Europe supplies:

• a gigantic affluent market;
• enormous savings;
• scientists;
• specialized industry;
• pharmaceutical capability;
• luxury goods;
• tourism;
• high-value property;
• professional services;
• complementary military capacity.

It may continue attracting foreign capital even while some of its most ambitious scientists and entrepreneurs move into American-controlled institutions.

It could increasingly finance consumption through:

• tourism income;
• foreign investment;
• wealthy immigration;
• property;
• borrowing;
• accumulated assets.

There is no reason such a Europe must become poor.

Many countries already maintain high living standards while owning less of the technological frontier than their consumption levels would suggest.

Europe could remain extraordinarily rich in assets and quality of life.

It could simply become less central to who owns the future.

East Asia Could Become the Creditor

There is another side to this system.

East Asian countries have spent decades accumulating foreign assets.

Japan in particular has one of the world's largest net foreign asset positions.

An aging creditor society eventually gains the ability to transform past industrial surpluses into future investment income.

Instead of every Japanese retiree depending solely on a shrinking Japanese workforce, Japanese institutions can own claims on production elsewhere.

European infrastructure.

American equities.

Foreign railways.

Energy projects.

Factories.

Government bonds.

That creates another possible division of labor.

America specializes increasingly in:

• financial intermediation;
• startups;
• frontier technology;
• platform ownership.

Japan and perhaps other mature East Asian creditor economies specialize more in:

• long-duration capital;
• infrastructure finance;
• foreign-asset income;
• selected strategic high technology.

Europe supplies more:

• labor;
• services;
• tourism;
• property;
• consumption markets.

Again, these are tendencies rather than clean categories.

But the architecture is economically coherent.

The American Empire Could Therefore Become Larger, Not Smaller

This is the largest change in my thinking.

My previous essay argued that America might respond to China by narrowing its empire.

I now think it may instead narrow the number of independent strategic decision-makers inside the empire.

That is different.

Geographically, the system could actually become larger and more integrated.

Economically, Europe remains inside.

Japan remains inside.

Australia remains inside.

Canada remains inside.

Mexico remains inside.

Korea and Taiwan remain deeply tied to it.

But their functions diverge.

RegionPossible roleUnited StatesCommand, finance, AI, software, frontier science, capital marketsEuropeR&D scale, affluent market, savings, talent, complementary industryJapanFrontline advanced industry, materials, machinery, shipbuilding, military productionKorea / TaiwanSemiconductors and specialized frontier productionAustraliaResources, military geography, strategic depthCanadaEnergy, minerals, continental redundancyMexicoLower-cost trusted manufacturing

The system is enormous.

But it is not egalitarian.

America remains the operating system.

The Real Battle Is Over European Autonomy

If this argument is right, the most important geopolitical question outside East Asia may be what happens inside Europe.

Can Europe turn its aggregate resources into autonomous power?

Can it build:

• its own cloud layer;
• its own AI champions;
• deeper capital markets;
• semiconductor capability;
• independent military command;
• an independent China policy?

Europe is already explicitly talking about technological sovereignty and reducing critical reliance on non-European suppliers.

If Europe succeeds, the world becomes genuinely multipolar.

America.

China.

Europe.

Three major centers capable of making independent strategic decisions.

That would be a large reduction in American power.

Not because America suddenly becomes weak.

But because America's greatest advantage over China—the ability to aggregate allied capital, science and market size—would weaken.

If Europe Fails, America May Remain the Center for Decades

Now imagine Europe fails to become strategically autonomous.

It remains wealthy.

It remains democratic.

It remains formally sovereign.

But:

• its defense stays deeply NATO-centered;
• its startups scale through American capital;
• its savings flow heavily into American markets;
• its AI industry relies on American compute;
• its cloud infrastructure remains largely American;
• its China technology policy converges with Washington;
• its most globally successful companies increasingly operate inside American-controlled capital and technology networks.

Then China's opponent is not really the United States.

It is an integrated system much larger than the United States.

That system could possess:

• roughly twice China's R&D resources;
• deeper global capital markets;
• most of the major reserve currencies;
• many of the world's strongest universities;
• major semiconductor chokepoints;
• enormous consumer purchasing power;
• a global military alliance network.

China would remain an extraordinary power.

But America would still possess something China does not:

the ability to make other advanced societies add their resources to America's own.

That could extend American primacy much longer than national GDP projections suggest.

The New Imperial Rule

This gives me a different way of describing the transition.

My previous argument was that America was replacing an empire optimized for reach with one optimized for control.

I still think that is right.

But I no longer think the new empire necessarily becomes geographically smaller.

It may become politically harder.

The key question becomes:

How much independent strategic choice does each part of the system retain?

And the answer may depend heavily on geography.

The frontline gets capability because weakness there threatens the entire system.

The rear gets squeezed because dependence there creates leverage.

So perhaps the deeper imperial rule is:

Empires extract where weakness is tolerable. They cultivate strength where weakness threatens the empire itself.

That is why Britain could eventually tolerate an increasingly self-governing Canada beside the United States while governing India through a far more extractive structure.

And it may help explain why America could eventually tolerate a surprisingly powerful Japan beside China while becoming less tolerant of an economically autonomous Europe behind it.

Japan becomes the armed industrial frontier.

Europe becomes the rich economic rear.

America tries to remain the place where their capital, science, technology and military power converge.

What to Watch Now

If this framework is right, several trends should appear together.

In Europe, watch whether higher defense spending creates European autonomy or simply more European capability inside NATO.

Watch whether European savings increasingly finance European startups—or continue moving through American capital markets.

Watch whether European AI and cloud policy produces genuine substitutes for American platforms.

Watch whether Europe can maintain a China policy materially different from Washington's.

And when European regulation collides with American technology and security interests, watch which side repeatedly compromises.

In Japan, watch almost the opposite.

Does Washington increasingly tolerate Japanese:

• defense exports;
• missile development;
• shipbuilding;
• advanced manufacturing;
• strategic industrial policy;
• independent technology partnerships?

Does Japan gain more economic room precisely as its military integration with America deepens?

If both occur simultaneously—Europe becoming more constrained while Japan becomes more capable—then what looks like inconsistent American policy may actually follow a coherent imperial logic.

America would not be choosing Europe over Asia.

Nor would it be abandoning Europe for Asia.

It would be assigning them different functions inside a much larger system.

And that changes the question I ended my previous essay with.

I previously asked:

Which part of the world does America intend to keep?

The more important question may be:

How much of the advanced world can America make behave as one system—and what role will each country be allowed to play inside it?

Here is a thought experiment.

Not a prediction.

Not “these countries are definitely going to win.”

Just an attempt to imagine a world in 2060 that is genuinely discontinuous from the stories we tell ourselves in 2026.

Because thirty-year forecasts have a strange problem: they usually look suspiciously like the present.

Today, the familiar story goes something like this.

China remains the dominant Asian challenger to the United States.

India becomes the next great growth story.

Japan continues getting older and less relevant.

Russia continues shrinking from its Soviet past.

Saudi Arabia and the Gulf remain rich but unusual.

Pakistan remains dysfunctional.

Egypt remains perpetually emerging.

Indonesia gets somewhat richer but never really matters at the highest level.

Central Asia stays peripheral.

The Muslim world remains economically fragmented: a handful of spectacularly wealthy oil monarchies sitting above hundreds of millions of people in much poorer countries.

Maybe.

But imagine reading a serious geopolitical forecast written in 1965.

It would probably have underestimated China.

It might have overestimated the Soviet Union.

It would almost certainly have misunderstood what was about to happen to South Korea, Singapore and Indonesia.

It could easily have treated Japan’s extraordinary growth as temporary catch-up rather than the beginning of one of the largest accumulations of private and foreign capital in history.

The problem is not that people in 1965 were stupid.

It is that the world of 1995 was not a scaled-up version of 1965.

The next thirty years probably won't be a scaled-up version of 2026 either.

So imagine a different map.

China remains powerful but becomes the aging, capital-rich incumbent increasingly forced to absorb the stresses of Asia around it.

India becomes much richer but proves less spectacular than the current hype implies.

The most surprising economic expansion instead occurs across a broad Muslim belt stretching from the Gulf through Central and South Asia into Southeast Asia and North Africa—not through a Chinese-style manufacturing miracle, but through an entirely different development model based on accumulated Gulf capital, infrastructure, resources, real estate, services and the gradual ASEAN-ization of countries that currently start from extremely low income levels.

Russia regains some strategic weight after its post-Soviet downsizing without recreating the Soviet Union.

And Japan, almost as an afterthought, discovers that being an old, rich creditor island in an increasingly complicated Asia is not such a terrible position after all.

That would be a much stranger world.

It may also be more historically normal than the straight-line forecast.

China may be entering the expensive phase of being powerful

For roughly forty years, almost every structural force worked in China's favor.

China's population rose toward 1.4 billion.

Its working-age population became vastly more productive.

Hundreds of millions of people moved from rural areas into cities.

Foreign capital arrived.

Factories arrived.

Technology arrived.

Infrastructure accumulated.

Exports exploded.

China moved from being a poor country with an enormous population to one of the world's great industrial and financial powers.

And importantly, China became heavier relative to almost everybody around it.

Japan experienced this directly.

Japan did not become poor after 1990. It remained extraordinarily wealthy, technologically sophisticated and one of the world's largest creditor states.

But China became dramatically more powerful beside it.

That alone changed Japan's strategic environment.

China may now be approaching the other side of that relationship.

Its population has already peaked, according to the UN, while several important Asian populations still have substantial demographic runway. China's economy remains enormous, but the era in which almost every decade automatically produced a larger demographic and industrial advantage over its neighbors is ending.

The relevant question for the next thirty years is therefore not:

Will China collapse?

Probably not.

China has already accumulated too much industrial capacity, infrastructure, financial wealth and organizational capability for “collapse” to be the interesting base case.

The more interesting question is:

How much of China's future national surplus will have to be spent simply maintaining the strategic position it already achieved?

That is a different problem.

Rising powers accumulate options.

Incumbent powers accumulate obligations.

The neighborhood around China is becoming more expensive

Look around China from Beijing.

India is no longer a distant poor giant that can be mostly ignored. Even if India disappoints today's most bullish expectations, another thirty years of respectable growth makes it substantially heavier.

Indonesia does not have to become Japan to matter. A country of nearly 300 million people moving from roughly $5,000 per capita toward middle-income status becomes one of the central economies of Asia. Indonesia's GDP per capita was only about $5,060 in 2025, despite an economy already around $1.45 trillion.

Vietnam, the Philippines and other Southeast Asian states become richer and more capable.

Pakistan remains strategically unavoidable.

Central Asia matters increasingly because Chinese infrastructure, energy and trade routes run through it.

Japan and South Korea remain capital-rich technological powers.

Taiwan remains unresolved.

The United States remains involved across several of these relationships.

And then there is Russia.

For China, a weaker Russia currently looks useful. It can mean cheaper resources and more Chinese bargaining power.

But weak great powers do not necessarily remain cheap neighbors forever.

A declining, enormous, nuclear-armed Russian state sharing thousands of kilometers of border with China could eventually become something Beijing has to stabilize, finance, accommodate or continuously manage.

The same principle applies farther south.

If Pakistan becomes unstable while China owns strategically important infrastructure there, it becomes partly China's problem.

If Myanmar destabilizes, Yunnan cannot pretend nothing happened.

If Central Asian states become politically fragile, China cannot ignore pipelines and trade routes.

If India becomes more capable, China has to balance it.

If Southeast Asia becomes richer, those governments gain more bargaining power.

Great powers eventually discover that regional influence comes with maintenance costs.

That may be one of China's defining transitions between now and 2060.

For forty years, Asia supplied China with opportunities.

The next forty may increasingly supply China with bills.

India may rise—and still disappoint

India is the easiest country to put at the center of the standard 2050 story.

The population is enormous.

Growth is already fast.

It has a huge technology sector and a globally successful diaspora.

It has obvious catch-up potential.

None of that is wrong.

But that's precisely why India feels less interesting as a surprise.

India has already grown substantially since the early 1990s. “India will become much richer” is no longer a contrarian thesis.

What I would question is the increasingly casual assumption that India necessarily gets a China-style transformation simply because China is aging and India is younger.

Demographics do not manufacture roads.

They don't move workers automatically from low-productivity employment into highly productive urban companies.

They don't create an East Asian industrial supply chain by themselves.

And they don't guarantee the extraordinary administrative execution that China demonstrated during its development phase.

India can become one of the largest economies in the world while still producing a thirty-year result that feels disappointing relative to what people expect today.

That still matters geopolitically.

China does not need India to become richer than China for India to become much more expensive to balance.

But the really surprising economic story may happen elsewhere.

The Muslim world already isn't small

Take a deliberately limited group of Muslim-majority countries we've been discussing—not the entire Muslim world.

Count:

• Saudi Arabia, the UAE and Qatar;
• Indonesia and Malaysia;
• Pakistan, Bangladesh and Afghanistan;
• Kazakhstan and Uzbekistan;
• Iran;
• and, from Africa, only Egypt, Algeria and Morocco.

Together, this basket is already roughly a $7 trillion economy in 2026.

That is about 5½% of world nominal GDP.

And it still excludes Turkey, which would add another roughly $1.5–1.6 trillion by itself.

So this is not some economically irrelevant periphery waiting to develop someday.

There is already substantial economic mass.

What makes the region interesting is how extraordinarily unevenly that mass is distributed.

At one end are some of the world's richest capital-owning states.

At the other are enormous populations still operating from remarkably low income levels.

And above this ladder sit Saudi Arabia, the UAE and Qatar—not primarily as low-cost convergence stories, but as enormous pools of accumulated capital.

Saudi Arabia alone is roughly a $1.4 trillion economy in the IMF's 2026 outlook. Add the UAE and Qatar and the three Gulf states together contribute more than $2 trillion to the broader economic system.

That creates a regional structure that did not really exist several generations ago:

That is the important configuration.

The region does not need every country to become Japan.

It does not even need every country to become Malaysia.

The sheer gap between today's starting points tells you how much room exists.

Pakistan starts around $1,600 per person.

Bangladesh around $2,600.

Egypt around $3,100.

Indonesia around $5,100.

Meanwhile Malaysia and Kazakhstan already demonstrate that countries inside the broader Muslim world can operate around $13,000–15,000 per person without becoming Switzerland, Japan or South Korea.

That gap is the economic opportunity.

If some large portion of today's poorer countries merely moves toward something resembling contemporary ASEAN middle income, the aggregate effect becomes enormous.

You don't need another China

This is where the arithmetic becomes surprisingly powerful.

The basket is roughly:

$7 trillion today.

Imagine that over the next three decades it simply becomes three times larger in real economic scale.

That gives you roughly:

$21 trillion in today's dollars.

That is approximately the size of China's entire economy today.

And this does not require Pakistan to become Korea.

It could happen through something far more mundane:

• Indonesia moving substantially toward Malaysian income levels;
• Pakistan becoming a respectable middle-income economy;
• Bangladesh continuing its existing convergence;
• Egypt getting basic infrastructure and macroeconomic management right;
• Morocco and Uzbekistan compounding steadily;
• Kazakhstan and Malaysia getting richer;
• Gulf capital continuing to accumulate and increasingly flowing outward.

The striking thing is how low the starting point remains.

A country at $2,000–5,000 per person does not need frontier technology to double or triple living standards.

It needs capital.

Electricity.

Roads.

Housing.

Ports.

Machinery.

Logistics.

Urban infrastructure.

Financing.

Telecommunications.

That is why the next Muslim-world development cycle, if it happens, may look much more like an ASEAN-ization than an East Asian miracle.

And for hundreds of millions of people, ASEAN-level development would already be an extraordinary transformation.

They do not need to become Japan

When people hear “development,” they tend to imagine that Pakistan needs to become South Korea or that Indonesia needs to become Japan.

That makes the hurdle appear almost impossibly high.

But perhaps that is the wrong target.

Imagine instead that over thirty or forty years a significant portion of this lower-income group simply converges toward something resembling Malaysia or Kazakhstan today.

Not Switzerland.

Not Singapore.

Not Korea.

Just broad middle-income modernity.

Reliable electricity.

Modern roads.

Airports.

Ports.

Air conditioning.

Functional housing.

Urban transit.

Digital payments.

Logistics.

Hospitals.

Modern retail.

Industrial parks.

Resource processing.

Tourism.

Construction.

Decent telecommunications.

A large consumer class.

This does not require every country to develop world-leading universities or a semiconductor industry.

It does not require Pakistan to produce Japanese-style educational discipline.

It does not require Egypt to create a German Mittelstand.

It requires enormous amounts of relatively mundane capital.

And that is precisely what part of the Muslim world has suddenly accumulated.

The first leap may be much easier than the last one

There is an enormous difference between moving an economy from $2,000 per person toward $8,000 or $10,000 and moving it from $20,000 toward $50,000.

At very low starting points, basic capital deepening can transform productivity.

Take the same worker and give him reliable electricity instead of outages.

Put the firm next to a functioning highway.

Give it modern machinery.

Connect it to a port.

Make payments reliable.

Build urban housing that allows workers to move.

Provide commercial financing.

Improve water and sanitation.

Reduce the number of hours lost moving goods through a dysfunctional logistics system.

None of this is frontier science.

But the productivity difference can be enormous.

That is why Indonesia is such an important reference point.

Indonesia is not Japan.

Its educational outcomes and productivity still leave enormous room for improvement.

Yet it has already built a $1.45 trillion economy with GDP per capita above $5,000 and essentially universal electricity access.

Malaysia is farther along at roughly $13,100 per capita.

These are not impossible reference points for the next thirty years.

And when the starting population is 100 million, 175 million or 255 million, simply reaching that kind of baseline has enormous global consequences.

Triple the current economy and you already get something China-sized

Here is the simplest way to see the scale.

Take that roughly $7 trillion Muslim-country basket today.

Now don't assume a Chinese miracle.

Don't assume 8% annual growth for thirty years.

Don't assume Pakistan becomes Korea.

Simply imagine that, in real today's-dollar terms, the group becomes roughly three times larger by around 2060.

That gives you an economy of roughly $21 trillion in today's economic scale.

That is approximately the size of China's entire economy today.

And the thought experiment is not outrageous precisely because many of the largest populations in the group are starting so low.

Pakistan doesn't need to triple an already-$50,000 income.

It starts around $1,600.

Egypt starts near $3,100.

Bangladesh around $2,600.

Uzbekistan around $4,000.

Indonesia around $5,000.

Morocco below $5,000.

There is an enormous amount of basic convergence available before anyone needs to solve frontier innovation.

That is why a Muslim-region growth story does not require a new China.

It may only require a lot of countries becoming decently middle income at the same time.

The missing ingredient may have been Muslim capital

What makes this more plausible in 2026 than it would have been in 1970 is not religion.

It is capital.

For much of the twentieth century, the Muslim world had rich oil producers, but it did not have the same self-reinforcing regional development ladder that East Asia eventually created.

East Asia had Japan.

Japan was not merely an inspirational example.

Japan accumulated capital and exported it.

As Japanese wages rose and industries became more sophisticated, capital, factories, production methods and supply chains moved into poorer Asian economies.

The Asian Development Bank describes this historically through the “flying geese” pattern, where industrial activity and investment progressively spread from more advanced Asian economies toward followers.

Then the followers became investors themselves.

Japan was followed by Korea, Taiwan, Hong Kong and Singapore.

Parts of ASEAN moved upward.

China entered the ladder.

Eventually Chinese capital itself began moving outward.

Development became a regional process rather than an isolated national miracle.

The Muslim world may now be acquiring the beginnings of something analogous.

But it probably won't look Japanese.

Saudi Arabia and the UAE are role models—but for a different model

Saudi Arabia, the UAE and Qatar are not industrial Japan.

They did not become rich because scarce natural resources forced them to turn every citizen into an export-competitive industrial worker.

Their development sequence was almost the reverse.

Natural resources generated enormous rents.

Those rents created sovereign capital.

Sovereign capital financed infrastructure, property, airlines, logistics, financial centers, technology purchases and global investments.

Foreign labor supplied much of the manpower.

The state remained central to capital allocation.

That produces a different political economy from Japan or Korea.

But it may nevertheless create an enormously important regional demonstration effect.

A Pakistani, Egyptian or Indonesian looking at Dubai, Abu Dhabi, Doha or increasingly Riyadh does not see an abstract Western model.

They see societies that are culturally much more recognizable yet possess world-class airports, roads, digital government, financial institutions, modern cities and enormous international capital.

That matters.

And the relationship isn't merely psychological.

There is already institutional connective tissue.

The Islamic Development Bank has 57 member countries, covering about one-fifth of humanity. Saudi Arabia is its largest shareholder at 23.5%; Iran, Qatar, Indonesia, Egypt and the UAE are also among its major shareholders.

That does not mean an integrated Islamic economic bloc is around the corner.

It means the financial architecture connecting capital-rich and capital-poor Muslim countries already exists.

The Gulf doesn't need to turn Pakistan into an export superpower

This may be the biggest difference from East Asia.

Japan's development model put enormous pressure on firms to become internationally productive.

Could Sony sell abroad?

Could Toyota compete with foreign manufacturers?

Could Japanese engineers improve quality enough to move upward?

That process eventually created huge numbers of highly skilled productive citizens.

The Gulf-centered model may work differently.

Imagine Saudi, Emirati and Qatari capital flowing increasingly into Pakistan, Indonesia, Egypt, Morocco, Uzbekistan and other connected economies.

What does it buy?

Energy systems.

Ports.

Housing.

Airports.

Mining.

Logistics.

Telecommunications.

Data centers.

Tourism.

Financial services.

Food production.

Industrial parks.

Real estate.

Transport corridors.

Perhaps some manufacturing, but not necessarily manufacturing as the organizing principle of society.

That can still create huge increases in income.

It may just create a different kind of middle-income country.

Less Korea.

More ASEAN.

“ASEAN-level” is a much bigger outcome than it sounds

People often use “middle income” as though it means failure.

But consider what the change means from today's starting point.

Malaysia at about $13,100 per capita is more than eight times Pakistan's current nominal GDP per capita.

Even getting Pakistan to half of contemporary Malaysia's level would represent a radical transformation for more than a quarter-billion people.

Egypt does not need to become France.

If it moves from roughly $3,100 per capita toward something resembling today's upper-middle-income economies, the absolute change in domestic consumption, infrastructure, tax capacity and state power would be enormous.

Indonesia already demonstrates the intermediate stage.

Kazakhstan demonstrates that a resource-rich Muslim-majority state outside the Gulf can already sit near $15,000 per capita.

Uzbekistan, currently below $4,000 per person, can look north at Kazakhstan rather than having to imagine Switzerland as its developmental endpoint.

This is what regional role models do.

They lower the imaginative distance.

Indonesia may be the bridge

Indonesia may be the country that makes this system particularly interesting.

It belongs simultaneously to two developmental worlds.

Geographically and economically, it sits inside the East Asian and Southeast Asian production system.

Singapore is next door.

Malaysia is already a much richer cultural and economic reference point.

Japanese, Korean and Chinese capital already circulate throughout the region.

But Indonesia is also the world's largest Muslim-majority country.

So it potentially connects:

East Asian production networks,

Singaporean and Malaysian management models,

and Gulf sovereign capital.

Today Indonesia is still primarily a recipient of capital.

But imagine it at $10,000 or $15,000 per capita with roughly 300 million people.

At that point Indonesia itself begins generating much larger pension funds, corporations, banks, investment pools and overseas capital.

Then the system changes again.

The capital ladder no longer runs only:

Gulf → Indonesia.

It can eventually run:

Gulf and Singapore → Malaysia and Indonesia → poorer regional economies.

That is how a development system becomes self-reinforcing.

Pakistan could look radically different if its neighborhood becomes richer

Pakistan is currently easy to dismiss.

That may be precisely why it is interesting over a thirty-year horizon.

It has more than 255 million people but only about $407 billion of GDP and roughly $1,596 per person today.

That is an astonishingly low capital base for a country of that scale.

Now imagine Pakistan in 2055, not in isolation but inside a different neighborhood.

Saudi Arabia and the Gulf are much larger capital exporters.

Kazakhstan and Uzbekistan are richer.

Iran has perhaps normalized enough to reconnect more deeply with international capital.

India is substantially richer.

Indonesia and Malaysia are larger pools of Muslim and Asian capital.

The Arabian Sea and Indian Ocean economies are more integrated.

At that point Pakistan becomes a gigantic low-cost economy sitting in the middle of a much wealthier surrounding system.

It has land.

Workers.

Consumers.

Ports.

Minerals.

Agriculture.

Strategic geography.

A huge domestic market.

The development question is no longer:

Can Pakistan suddenly become Korea?

It becomes:

Can regional capital raise the amount of productive infrastructure surrounding an ordinary Pakistani worker by several multiples?

That is a much lower bar.

And if the answer is yes, the absolute economic increase is enormous.

Bangladesh is another reminder that today's category can change quickly

Bangladesh is already about a $456 billion economy, with per-capita GDP around $2,600, despite having been treated for decades as almost synonymous with extreme poverty.

Its development has not looked like Japan.

That is the point.

You don't need the entire population to become highly educated engineers to create substantial movement from extreme poverty toward a mass consumer economy.

If Bangladesh, Pakistan, Egypt, Indonesia and parts of Central Asia each follow different versions of that path, the aggregate matters more than whether any single one produces a miracle.

And the political result may look nothing like East Asia

This is another reason the future could surprise us.

The East Asian production model eventually created large populations of industrial workers, engineers, managers, entrepreneurs and technically educated middle-class households.

National power increasingly depended on broadly distributed human productivity.

The Gulf model begins with concentrated capital.

That can produce a more top-down political economy.

You can have world-class infrastructure.

Huge sovereign wealth funds.

Modern airports.

Advanced military equipment.

Large construction industries.

Sophisticated logistics.

Global financial investments.

And still have capital allocation remain heavily concentrated around the state and a relatively narrow elite.

If this model diffuses outward, the resulting Muslim middle-income world may therefore not become a collection of liberal industrial democracies.

It could remain:

more authoritarian,

more unequal,

more resource-oriented,

more property-heavy,

more dependent on sovereign and large-family capital,

and less innovative per capita than East Asia.

Yet still become dramatically richer and more powerful.

Those are not contradictions.

A country does not need Japanese productivity per worker to become geopolitically important if it has 200 or 300 million people.

This may be the real positive surprise of 2060

The consensus version of global convergence tends to look like:

China happened, now India happens, eventually Africa happens.

I'm less convinced.

India will probably become much richer, but that story is already well known.

Sub-Saharan Africa faces a much harder connection problem to the dense Eurasian production and capital networks we're discussing.

The Muslim belt is different.

It stretches across some of the world's most important geographic nodes.

The Gulf.

The Mediterranean.

Central Asia.

The Indian Ocean.

The Strait of Malacca.

South Asia.

Southeast Asia.

And unlike forty years ago, the region now contains its own enormous pools of accumulated capital.

That last point may turn out to matter more than we think.

Russia may also be mispriced—but for a different reason

Russia is a smaller part of this thought experiment.

Its positive-surprise story is not demographic or Chinese-style economic growth.

It is that the post-Soviet Russian state may eventually prove to be a more sustainable strategic unit than the Soviet Union was.

Moscow lost roughly half the Soviet population in 1991 while retaining most of the territory, resources, nuclear arsenal and military-industrial core.

That was a catastrophic contraction.

But it was also a massive downsizing of administrative obligations.

If Russia eventually stops trying to directly recreate the USSR and instead settles into a model of controlling a Russian core while maintaining influence over selected neighboring states, it could regain geopolitical weight without recreating the full costs of empire.

A richer Central Asia could even become an asset rather than something Moscow needs to subsidize.

Russia would remain demographically weak.

It wouldn't become China.

But over thirty years, resource wealth, Arctic geography, military capacity and strategic position between Europe and Asia can be repriced considerably.

And Japan may quietly end up in a better position than expected

Japan is the least dramatic part of the thesis.

It will probably continue aging.

Its population will probably continue shrinking.

Its economic growth may remain unimpressive.

But Japan has already accumulated an enormous stock of capital and technological capability.

If China becomes increasingly burdened by a more complicated Asian neighborhood, while Southeast Asia becomes richer and Russia seeks alternatives to excessive Chinese dependence, Japan's relative strategic value can rise even without another Japanese economic miracle.

Japan does not need to dominate Asia.

It needs to remain rich, technologically capable, financially deep and difficult to coerce.

In a more multipolar Asia, that may be enough.

The strange thing would be if 2060 looks exactly like 2026

None of this is a forecast I would bet everything on.

China may adapt better than expected.

India may genuinely produce a second Asian miracle.

Gulf capital may remain trapped in property, prestige projects and Western financial assets.

Pakistan may waste another thirty years.

Iran may remain isolated.

Russia may exhaust itself rather than consolidate.

Indonesia may get stuck at middle income.

That is why this is a thought experiment.

But there is a broader lesson.

Thirty-year futures are rarely generated by simply extending today's winners upward and today's losers sideways.

Today's successful countries eventually accumulate costs.

Today's poor countries inherit cheap labor, low capital bases and enormous catch-up opportunities.

Today's strange regional experiments become tomorrow's institutions.

And capital that has already accumulated somewhere eventually looks for somewhere else to go.

The Muslim-country basket described here is already roughly a $7 trillion economic zone even before Turkey and many smaller Muslim economies are counted.

Yet some of its largest countries still sit at income levels between roughly $1,600 and $5,000 per person.

That combination is unusual:

large existing economic mass at the top, enormous accumulated capital in a few countries, and hundreds of millions of people still starting from very low capital per person.

If even part of that gap closes, you don't need a miracle.

You get scale simply from convergence.

Triple the current economic base in real terms by around 2060 and the region becomes roughly a $21 trillion economy in today's economic scale—something comparable to China today.

And perhaps that is the more interesting way to imagine the next thirty years.

Not by asking:

Which country becomes the next China?

But:

What happens when regions that never had enough locally accumulated capital finally acquire it?

East Asia answered that question once.

The Muslim world may be beginning to answer it in a completely different way.

One of the strangest things about looking back at the great migration era of the 20th century is where people ended up.

Some Europeans moved to the United States and Canada.

Others chose Argentina or Brazil.

Some emigrants returned to the Soviet Union.

People moved to revolutionary China.

Beginning in 1959, more than 90,000 Koreans and their family members left Japan for North Korea.

German Jews escaping Nazi persecution scattered across Britain, France, the Americas, Palestine, Shanghai and dozens of other destinations.

From the perspective of 2026, some of these choices look brilliant.

Others look catastrophic.

The temptation is to think:

How could they possibly have chosen that country?

But that's cheating.

We know what happened next.

They didn't.

A migrant deciding where to go in 1925 did not know that Hitler would take power in Germany, that Stalin's USSR would become what it became, that Mao would win the Chinese Civil War, that North Korea would become one of the world's most closed states, or that the United States would dominate the postwar international system.

So I've become interested in a different question:

Was there a simple piece of information available at the time that could have improved your odds without requiring you to predict history?

I think there was.

Look at how much capital the country had already accumulated—especially how much of the rest of the world it owned.

In other words:

Before immigrating to a country, look at its balance sheet.

Most migration advice focuses on the present

People choosing countries today tend to ask:

• Where are salaries highest?
• Where are the best jobs?
• Which city is exciting?
• Where is immigration easiest?
• Which society is tolerant?
• Where are taxes lower?
• Which country is growing fastest?
• Where do successful people seem to be moving?

These are perfectly reasonable questions if you're choosing where to spend three years.

They are much less obviously sufficient if you're choosing where your children may still be living in 2050.

Migration is an unusually long-duration bet.

You are placing your career, savings, property, legal status, social network and possibly your descendants under one sovereign government.

Yet people often choose countries using what amounts to a five-year momentum strategy:

This economy is booming.

This city is cool.

Everyone is moving there.

The government currently welcomes people like me.

History gives us plenty of examples of why this can go badly.

But to understand them, you have to resist looking backward from the outcome.

You have to put yourself in the migrant's shoes.

Put Yourself in Their Shoes

Forget for a moment what you know about the second half of the 20th century.

You don't know that America becomes America.

You don't know what Stalin is going to do.

You don't know Argentina's long relative decline.

You don't know what North Korea becomes.

You have to choose using only what is visible at the time.

Choice #1: You are a Finnish worker in Canada in 1931

You left Finland years ago and now live somewhere around Ontario's mining and lumber country.

Then the Great Depression hits.

Jobs disappear.

Capitalism does not look particularly impressive.

American unemployment is exploding. Canadian workers are suffering too. Banks are failing. Commodity prices are collapsing. The entire North American economic system seems to be malfunctioning.

Meanwhile, across the Atlantic, something very different is happening.

The Soviet Union is industrializing at extraordinary speed.

Soviet Karelia actively wants people like you.

You speak Finnish. You know machinery. Maybe you're a carpenter, miner, logger, engineer or mechanic.

And Soviet recruiters aren't saying:

Come and scrape by.

They're saying, in effect:

Come help build a new society.

There is even a Finnish-speaking socialist project being constructed in Karelia.

For a working-class Finnish immigrant who had already experienced labor conflict and discrimination in North America, this was not necessarily ridiculous.

Thousands agreed.

About 6,500 Finnish Americans and Canadians moved to Soviet Karelia in the early 1930s. They brought labor, skills, money, machinery and tools badly needed by the Soviet economy.

Now stop.

It is 1932.

Which country looks as though it has momentum?

Canada and the United States are experiencing the worst economic collapse in modern memory.

The Soviet Union is putting up factories.

If your migration heuristic is:

Go where things are growing.

the USSR doesn't look insane.

It may even look intelligent.

Now jump forward six years

The North American depression eventually ends.

The United States goes on to become the dominant economic power of the second half of the century.

Canada becomes one of the world's wealthiest societies.

And in Soviet Karelia?

The Great Terror arrives.

North American Finns become targets of the purges. Hundreds of Finnish Canadians are estimated to have been among Stalin's victims.

Think about how extraordinary the reversal was.

These people had already successfully crossed the Atlantic and reached Canada or the United States.

Then, during a temporary economic disaster, some voluntarily traded that position for Soviet residence and, in many cases, a future they could no longer easily escape.

With hindsight:

Canada → USSR

looks incomprehensible.

From inside 1931?

Much less so.

And this is precisely where the balance sheet may have told you something that current economic growth did not.

The Depression had destroyed income and employment in North America.

It had not destroyed the enormous stock of accumulated North American capital underneath the economy.

The United States had already transformed from a net international debtor before World War I into a creditor nation after the war.

The Soviet Union was the opposite kind of bet: an extraordinarily ambitious society attempting to create capital at breathtaking speed after revolution, civil war, expropriation and destruction.

One country looked broken because its current output had collapsed.

The other looked dynamic because its current output was accelerating.

But one already possessed a gigantic accumulated balance sheet.

The other was trying to build one.

For a 30-year migration decision, that distinction mattered much more than the 1931 unemployment rate.

Choice #2: You are Italian in 1905. New York or Buenos Aires?

This one is harder because Argentina was not an obviously bad choice.

Imagine you're a young Italian in 1905.

You've decided to leave Europe.

Two ships are available.

One goes to New York.

The other goes to Buenos Aires.

Today, most people would instinctively choose New York.

In 1905, that answer wasn't obvious at all.

Argentina was one of the great immigration countries of the age.

Between the mid-19th century and 1930 it received millions of European immigrants, second only to the United States. By 1914, around 30% of Argentina's population was foreign-born. Italians were everywhere.

Buenos Aires was booming.

Wages were attractive.

Land was abundant.

European immigrants could and did move upward economically.

So suppose your brother writes from Buenos Aires:

Come here. Everybody is coming. There is work. The city is growing. Italians are everywhere.

Why wouldn't you?

You are not choosing between Switzerland and Somalia.

You are choosing between two of the great New World growth stories.

Now look 70 years forward.

The descendants of one migrant family live in the United States.

The descendants of the other live in Argentina.

Both may have perfectly good lives.

But economically the countries have diverged enormously.

Argentina spent much of the 20th century in relative decline. Its income relative to the richer industrial countries fell substantially over the decades after World War II.

Was there anything an Italian migrant in 1905 could have seen that hinted at this?

Perhaps.

Because there was a major difference hidden underneath the glittering cities.

Argentina contained enormous amounts of capital.

But much of it didn't belong to Argentina.

Foreign investors—particularly British investors—owned or financed enormous portions of the country's railways, utilities and other infrastructure. By the eve of World War I, some historical estimates put the foreign-owned share of Argentina's capital stock remarkably high.

That's a very different financial structure from eventually becoming the country financing everybody else.

Argentina was a spectacular destination for foreign capital.

The United States was moving toward becoming an exporter of capital.

Those can look remarkably similar during a boom.

They are not the same thing.

One says:

The world believes there are profitable things to build here.

The other eventually says:

We have accumulated so much ourselves that we are buying the rest of the world.

For an immigrant arriving in 1905, that distinction would have seemed extremely abstract.

For their grandchildren, it wasn't abstract at all.

The Argentine mistake wasn't:

They moved to a poor country.

They didn't.

The much subtler mistake was:

They moved to a country that looked extremely rich without asking who actually owned the wealth underneath it.

Choice #3: You are a Jewish doctor in Berlin in 1936

Now the problem becomes much darker.

You're Jewish.

You're a doctor or lawyer.

You understand what Hitler is doing.

You decide Germany is no longer safe.

So you leave.

Where?

New York would be nice.

But America is far away and immigration is difficult.

London is possible, perhaps, but Britain isn't necessarily welcoming either.

Paris is nearby.

Amsterdam is nearby.

Brussels is nearby.

You can reach them by train.

You speak European languages.

You have professional contacts there.

Your family can visit.

Maybe Nazi Germany eventually calms down.

Moving 300 kilometers feels much easier than moving 6,000.

And this is exactly what tens of thousands of people did.

Between 1933 and 1939, more than 90,000 German and Austrian Jews fled to neighboring European countries, including France, Belgium and the Netherlands.

Again, imagine the decision in real time.

You successfully left Nazi Germany.

You are now living in Amsterdam.

You have escaped.

Or so it appears.

Then May 1940 arrives.

Germany overruns Belgium, the Netherlands, Luxembourg and France with astonishing speed.

Your migration decision is effectively reversed by an army.

The Netherlands contained tens of thousands of Jewish refugees from the German Reich when occupation began. The subsequent destruction of Dutch Jewry was enormous.

France suffered devastating losses as well.

Now compare that with refugees who had managed to get much farther away.

By the beginning of the war, large numbers had reached the United States, Britain, Central and South America, Palestine and even Shanghai.

Shanghai sounds like the strange choice.

Amsterdam sounds like the sensible choice.

History made the opposite distinction.

This case reveals an obvious limitation to the balance-sheet idea.

No amount of Dutch accumulated wealth could stop the Wehrmacht in May 1940.

So there has to be at least one major override:

Don't choose a country whose physical territory has a serious chance of being consumed by the conflict you're escaping.

But the case contains another lesson that matters just as much today.

By the time everybody understood exactly how dangerous Europe had become, the best migration options were already disappearing.

At the end of June 1939, roughly 309,000 German, Austrian and Czech Jewish applicants were waiting for around 27,000 available places under the American quota system.

This is the historical version of:

I'll apply to Canada if things get really bad.

If things get really bad, everyone else applies too.

The receiving country doesn't even need to close immigration.

A queue is enough.

Migration options are often easiest to acquire before you obviously need them.

Choice #4: You are Korean in Osaka in 1959

This may be the strangest migration decision in modern East Asian history.

You are an ethnic Korean living in Japan.

Japan in 1959 is not the Japan of 2026.

Your family may have arrived during the colonial period.

You face discrimination.

Employment can be difficult.

Poverty is common among parts of the Korean community.

You are not necessarily treated as though Japan is fully yours.

Then an alternative appears.

North Korea says:

Come home.

You will have employment.

Housing.

Education.

Healthcare.

A society without Japanese ethnic discrimination.

A new socialist country is rebuilding rapidly after the Korean War.

And North Korea's postwar industrialization really was rapid.

So this wasn't necessarily presented to migrants as:

Leave developed Japan for a starving prison state.

The destination they were shown was closer to:

Leave a society that treats you as an unwanted minority and help build a rapidly developing Korean homeland.

Between 1959 and 1984, more than 93,000 people moved from Japan to North Korea under the repatriation program.

Some Japanese wives accompanying Korean husbands were reportedly told that they would eventually be able to visit Japan again.

Imagine being a 25-year-old Korean man in Osaka.

Japan doesn't really want you.

North Korea says it does.

Which society sounds more dignified?

Then you arrive.

And discover that the migration decision is effectively one-way.

Decades later, survivors described false promises of jobs, healthcare and education followed by harsh conditions and an inability to return home. Only a tiny fraction of those who went were ever able to make it back to Japan.

That is not an ordinary bad migration outcome.

That is catastrophic.

You didn't merely choose:

a country whose economy grew more slowly.

You chose:

a country that removed your ability to choose again.

And again, the balance sheet told a story that the development narrative obscured.

North Korea was rebuilding quickly.

But much of that reconstruction depended on enormous transfers from the Soviet Union, China and the rest of the socialist bloc.

It did not possess generations of independently accumulated financial wealth.

It was a new state rebuilding from catastrophic war damage with external assistance.

Rapid growth from destruction can look spectacular.

It isn't the same thing as accumulated wealth.

Four migrants, four different mistakes

These examples matter because the migrants weren't all making the same error.

The Finnish Canadian in 1931 made a momentum error:

North America is collapsing; the USSR is building.

The Italian choosing Buenos Aires made a prosperity-versus-ownership error:

Argentina is rich, therefore Argentines must have accumulated enormous wealth.

The Jewish doctor choosing Amsterdam made a distance error:

I crossed the border, therefore I escaped the geopolitical system.

The Korean leaving Osaka made an advertised-future error:

This new society promises me a better position than the old one, therefore its future is safer.

Each of these decisions can make sense using information visible at the surface.

That's why migration is difficult.

The destination that looks best in year one isn't necessarily the destination you would have wanted to choose for year thirty.

And that's also why I don't think the answer is to produce a 30-variable index of political virtue.

There may be a much simpler first filter.

Look at the balance sheet

Suppose instead you had told each migrant:

Forget next year's growth rate for a moment.

Forget which government currently seems progressive.

Forget which country is making the grandest promises.

Forget which city feels fashionable.

Ask:

Who already owns the capital?

How much has this society accumulated over the previous fifty years?

Does this country owe the world money, or does the world owe this country money?

Is today's impressive growth creating nationally owned wealth—or is the prosperity dependent on foreign capital, foreign aid or borrowed money?

That doesn't magically tell you the future.

It would not have predicted Hitler.

It would not have predicted Stalin's exact purges.

It would not have predicted the Korean War.

It would not have told an Italian immigrant exactly how Argentina would perform over the following century.

But it could have changed the odds.

The United States of the 1920s had already become an international creditor.

Argentina's spectacular development had been financed to an extraordinary extent by capital owned overseas.

Soviet industrialization was occurring inside a society that had recently destroyed much of its previous ownership structure and was attempting to construct a new capital stock at enormous speed.

North Korea's impressive postwar reconstruction depended heavily on assistance from larger socialist states.

These were visible facts.

And they may have been more useful to a migrant than trying to decide which country's political ideology sounded best.

A rich-looking country and a rich country are not necessarily the same thing

This distinction is easy to miss.

A country can have:

• rapid economic growth,
• impressive technology,
• excellent engineers,
• expensive cities,
• booming construction,
• sophisticated companies

without having accumulated a deep stock of domestically owned wealth.

Think about income and wealth in your own life.

Someone earning $500,000 a year with no savings and enormous debts may look richer than someone earning $150,000 while sitting on $5 million in diversified assets.

Then something goes wrong.

The difference suddenly becomes obvious.

Countries aren't households, but the underlying distinction matters.

Current production tells you how well things are going now.

Accumulated capital tells you how much previous success is sitting underneath the society.

There is a huge difference between a country that has been prosperous for five years and one that has been accumulating assets for fifty years.

The latter has had decades to turn income into:

• household savings,
• businesses,
• pension assets,
• infrastructure,
• financial securities,
• government reserves,
• and investments abroad.

That stock is a shock absorber.

This is also why Germany in the 1920s is such a useful comparison.

Germany looked extraordinarily sophisticated.

It had world-class scientists and engineers, advanced chemical and electrical industries, large corporations and major universities.

If the metric is simply:

Does this society have human capital and impressive companies?

Germany passes easily.

But Germany's national financial position was far weaker than the surface sophistication suggested. World War I and inflation had destroyed large quantities of wealth, and the apparently prosperous second half of the 1920s relied heavily on foreign borrowing.

When international capital reversed, that vulnerability mattered.

The United States had the opposite trajectory.

It had already accumulated enormous domestic capital and had transformed from an international debtor before World War I into a major creditor afterward.

The important distinction wasn't:

America had better engineers.

It was:

America had already accumulated an enormous stock of nationally owned capital, and increasingly the rest of the world owed America money.

You didn't need to predict Hitler to observe that.

Foreign assets may be the most interesting part

This is where the heuristic becomes particularly useful.

Imagine a country whose citizens, pension funds, companies and government collectively own enormous quantities of assets abroad.

They own American equities.

European companies.

Asian factories.

Foreign real estate.

Government bonds.

International subsidiaries.

The society has effectively converted decades of previous economic surplus into claims on future production all over the planet.

Domestic problems don't make all of those claims disappear.

And a country generally doesn't accumulate a huge net foreign asset position overnight.

It usually requires a long period in which a society generated substantial savings and invested part of the surplus elsewhere.

So a large stock of net foreign assets tells you several things at once.

It suggests that the country has previously been productive.

It has previously saved.

It has maintained enough continuity for assets to compound.

It has accumulated more capital than it needed to finance itself domestically.

And it has reached the point where part of future national income comes from capital accumulated by previous generations.

That is an extraordinarily powerful position.

It is the difference between being prosperous and having stored prosperity.

It also helps distinguish two countries that can look similar during a boom.

One country may contain billions of dollars of new factories because foreigners believe the opportunity is attractive.

Another may have accumulated so much resident-owned wealth that its citizens are purchasing factories in everybody else's countries.

Both may have gleaming skylines.

Their balance sheets are fundamentally different.

This is not a morality index

This is where I think migration analysis often goes wrong.

You could try to predict long-run migration safety using things like:

• democracy,
• rule of law,
• minority rights,
• progressive social attitudes,
• property rights.

These things obviously matter to someone's life.

But as a single 20- or 30-year forecasting metric, history creates immediate problems.

The United States remained brutally discriminatory toward Black Americans well into the 20th century.

Asian immigration was severely restricted.

Japanese Americans—including American citizens—were incarcerated during World War II.

Canada imposed a Chinese head tax and later effectively stopped Chinese immigration. During World War II, it dispossessed Japanese Canadians, sold their property and forced thousands from their homes.

Britain criminalized homosexual relationships between men until the 1960s.

Meanwhile, early Soviet Russia briefly had more liberal laws on homosexuality than Britain before Stalin reversed course.

Imagine choosing a country in 1925 according to:

Which government has the most socially progressive laws today?

You could have made a spectacularly bad 30-year decision.

That's not because rights don't matter.

It's because today's rights regime is itself something you're trying to predict forward.

Governments change.

Political ideologies change.

Social norms change.

Immigration rules change.

What generally changes much more slowly is the stock of wealth accumulated over previous generations.

That makes capital useful as a forecasting variable in a way that a snapshot of current politics may not be.

Capital doesn't prevent bad policy. It gives a country room to survive it.

This is a narrower claim than saying rich countries are good.

Rich creditor societies can behave terribly.

They can discriminate.

They can enter wars.

They can have depressions.

They can elect incompetent governments.

They can confiscate particular groups' assets.

They can make policy mistakes for years.

But enormous accumulated capital means the society can absorb a surprising amount of stupidity without the entire economic and political system needing to be rebuilt.

That's enormously valuable.

A migrant does not need the adopted country to make excellent decisions every year.

They need the country to survive bad governments, recessions, demographic problems and strategic mistakes without undergoing catastrophic discontinuity.

A country with generations of accumulated assets can often do exactly that.

Perhaps the most valuable thing wealth gives a society is not luxury.

It is room to be wrong.

This is what the Finnish migration example captures so well.

Canada looked terrible in 1931.

But Canada had the balance sheet to survive 1931.

The Soviet Union looked dynamic.

But it was trying to create in a few years what richer societies had been accumulating for generations.

If you're deciding where to place thirty years of your life, the boring stock may matter more than the exciting flow.

By the time everybody understands the danger, the good exits may already be gone

The Jewish refugee experience adds another dimension.

Your ability to choose countries is not constant.

The strategy:

I'll move to America once things become obviously dangerous

sounds reasonable.

But once danger becomes obvious to you, it is usually obvious to everybody else too.

Then thousands or hundreds of thousands of people begin pursuing the same limited migration routes.

Receiving countries may tighten admission.

Security screening may increase.

Political attitudes may change.

Consular processing may slow.

Or the legal rules may stay exactly the same and the queue alone can make the option functionally unavailable.

That's what the 1939 U.S. quota backlog illustrates so brutally.

This matters because migration status is generally acquired slowly.

A permanent immigration process can take years.

Political deterioration can happen in months.

So there is an asymmetry:

Good migration optionality is acquired slowly and can disappear quickly.

This is why looking at national resilience matters before a crisis.

By the time your current country has become obviously unsafe, you may no longer be choosing between the United States, Canada, Switzerland and Australia.

You may simply be choosing among whichever countries still let you in.

A lot of historical migration that looks random from the future was not people calmly comparing every country on Earth and choosing strangely.

They were choosing among open doors.

What does the balance-sheet map look like today?

Apply this heuristic in 2026 and you get a somewhat unusual list.

The countries that immediately stand out include:

Norway. Switzerland. Singapore. Denmark. The Netherlands. Sweden. Japan. Germany. Canada.

These aren't necessarily the world's fastest-growing economies.

Some are aging.

Some are famously boring.

Several have serious political or economic problems.

But they possess something much more difficult to manufacture quickly:

decades of accumulated capital.

That is exactly what we're looking for.

Not:

Which country will have the highest GDP growth in 2027?

But:

Which society could make twenty years of mediocre decisions without forcing me to rethink the entire migration decision?

Norway may be the purest example

Norway has converted petroleum wealth into an extraordinary portfolio of financial assets around the world.

By the end of 2025, Norway's net foreign assets were on the order of NOK 21 trillion.

This is almost the ideal version of the strategy.

Norway discovered a finite domestic resource.

Instead of simply consuming all of the proceeds as they arrived, it converted a substantial portion into ownership claims on global productive assets.

So a future Norway with less oil doesn't start again from zero.

Previous generations have already purchased claims on the future production of other countries.

For only a few million people, that's an extraordinary buffer.

Norway does not have to remain the smartest country in Europe.

It doesn't have to discover another oil field.

It doesn't have to become the world's next great technology hub.

A great deal of the work has already been done.

Switzerland has been compounding for generations

Switzerland combines extraordinarily high private wealth with a very large positive international investment position.

The important point isn't simply that Swiss salaries are high.

It's that the country has already accumulated enormous wealth relative to its population.

A migrant looking twenty years ahead doesn't need Switzerland to become the next technology superpower.

It can grow slowly.

It can make mistakes.

Its population can age.

Its industries can change.

The starting balance sheet gives it extraordinary resilience.

This is exactly the kind of country that can look boring in a five-year ranking and extremely attractive in a thirty-year ranking.

Singapore is no longer just a growth story

Singapore is often discussed as an Asian economic miracle.

That framing made sense when the main story was rapid catch-up.

But once a growth miracle lasts long enough, it becomes something else.

It becomes an accumulated-capital society.

Singapore now possesses a huge positive net international asset position relative to its population.

That matters because we're no longer merely betting:

Singapore's government will continue executing brilliantly forever.

Previous successful execution has already been converted into assets.

The past has been monetized.

Singapore can make more mistakes in the future than Singapore could have made in 1970 because it now has far more accumulated capital sitting underneath the system.

Japan looks completely different if you look at wealth instead of growth

Japan may be the most interesting country under this framework.

The standard discussion of Japan is familiar:

• aging population,
• low birth rate,
• slow economic growth,
• enormous government debt.

None of this is imaginary.

But Japan is also one of the world's great creditor nations, with trillions of dollars in net foreign assets.

Japanese companies, financial institutions and households accumulated enormous claims overseas during previous decades.

That means Japan can grow slowly while still receiving enormous income from capital accumulated in the past.

The distinction is important:

A country can have poor growth prospects and excellent stability prospects at the same time.

For a startup founder deciding where the largest new market opportunities will emerge, Japan's demographics matter enormously.

For a family asking whether Japan is likely to experience catastrophic political-economic discontinuity over the next twenty years, its accumulated capital may matter much more.

Japan does not need to reproduce the economic miracle of 1960–1990 to remain extremely difficult to destabilize.

It already banked a large portion of that miracle.

Germany today is not Germany in 1929

This comparison is particularly revealing because the surface similarities can mislead.

Germany in the late 1920s was technologically impressive but financially vulnerable.

Germany today is one of the world's major creditor economies.

Modern Germany could absolutely stagnate.

Its manufacturing industries could struggle.

Its energy policies could prove costly.

Its demographics could deteriorate further.

None of those possibilities should be dismissed.

But these aren't the same risks facing Weimar Germany.

Today's Germany is sitting on decades of accumulated nationally owned capital and enormous foreign claims.

Germany in 1929 was dependent on foreign capital.

Germany today owns large quantities of foreign capital.

That distinction is much more fundamental than whether German GDP growth happens to be 0.5% this year.

Looking only at industrial headlines misses it.

Canada is probably much harder to break than Canadians think

Canada currently attracts a lot of pessimism.

Housing is expensive.

Productivity growth is weak.

Per-capita growth has disappointed.

There are legitimate questions about immigration policy and long-run competitiveness.

But Canada also possesses enormous household and national wealth and remains a net creditor internationally.

That produces an important distinction:

Canada becoming less economically attractive relative to America is plausible.

Canada experiencing catastrophic economic discontinuity is a much higher bar.

Those are not the same forecast.

A country can spend twenty years becoming disappointingly mediocre while remaining extremely safe.

For a founder, investor or ambitious young worker, relative stagnation matters.

For a migrant deciding where their children might live for thirty years, catastrophic downside matters too.

Canada has a very large stock of accumulated wealth available to absorb mistakes.

That's not exciting.

That's precisely the point.

Today's United States is the test of whether we actually believe the metric

America remains extraordinarily wealthy.

There is probably no country on Earth with a larger total reservoir of private financial and productive capital.

But unlike America in the 1920s, today's United States has an enormous negative net international investment position.

Foreigners now own considerably more claims on the United States than Americans own abroad.

That doesn't mean the United States is about to collapse.

It doesn't erase America's enormous domestic wealth.

But if the purpose of this exercise is to stop intuition from overriding observable balance-sheet information, we shouldn't simply give America an exemption because it is America.

The United States of 2026 is financially positioned differently from the United States that became perhaps the greatest migration destination of the 20th century.

The America of the 1920s had accumulated extraordinary domestic capital and was becoming a creditor to the rest of the world.

Today's America still has extraordinary domestic capital but has surrendered that external creditor position.

That should affect the calculation.

How much?

That's debatable.

But saying “America is special, so ignore the metric” would defeat the entire point of using one.

The countries I would look at first

If the objective were narrowly:

Where can I place myself today to minimize catastrophic national downside over the next twenty years?

I would start with countries such as:

Switzerland, Norway, Denmark, Singapore, the Netherlands, Sweden, Japan, Germany and Canada.

Not because all of them are exciting.

Not because they will grow fastest.

Not because their governments are always competent.

And certainly not because their societies are morally perfect.

I would look at them because previous generations have already accumulated an enormous economic shock absorber.

That is difficult to fake.

Countries can build skyscrapers quickly.

They can borrow capital quickly.

They can produce several years of spectacular GDP growth.

They can announce ambitious industrial plans.

They can become fashionable immigration destinations.

What they cannot easily do is fabricate fifty years of accumulated resident-owned wealth.

That's why the boring creditor economies deserve more attention than they usually receive in migration discussions.

There are still obvious exceptions

No single metric explains everything.

Taiwan is the cleanest example.

Taiwan possesses an extraordinary external balance sheet and would rank extremely highly on a pure capital measure.

But accumulated capital cannot prevent another country from invading you.

A missile does not care about your net international investment position.

So direct territorial-security risk has to be treated separately.

That doesn't invalidate the capital metric.

It establishes its boundary.

The balance sheet is primarily telling us something about a society's ability to survive internal economic and political stress.

It cannot insure against physical destruction by a much larger external power.

There is another important exception.

Some Gulf countries possess enormous sovereign wealth.

On a national balance sheet, they can look spectacular.

But national wealth isn't necessarily immigrant security.

If citizenship is effectively inaccessible and your right to remain indefinitely depends on employment or sponsorship, the country's magnificent balance sheet doesn't automatically become your personal security.

So after looking at national capital, there is one simple question a migrant still needs to ask:

Can I actually become a durable member of this society?

A wealthy country in which you can become a citizen is a fundamentally different migration asset from a wealthy country in which you remain a guest for forty years.

But I would ask this after examining the balance sheet—not substitute a giant political-values index for it.

Stop trying to predict history

This is ultimately what I find attractive about the balance-sheet approach.

Most historical analysis of migration cheats.

We know what happened.

So we unconsciously construct criteria that would have told migrants to choose the countries that later succeeded.

Of course democracy looks important when we already know which democracies survived.

Of course institutional stability looks important when we already know which institutions proved stable.

Of course America looks safe when we already know there will be an American century.

But none of this is useful unless the information was available before the outcome.

A migrant in Europe in 1925 couldn't know who would govern Germany in 1935.

They could know that Germany depended heavily on foreign capital.

They couldn't know that the United States would dominate the second half of the century.

They could know that America had already accumulated enormous capital and had become an international creditor.

An Italian immigrant in 1905 couldn't know Argentina's 20th-century political history.

They could observe that large portions of Argentine development depended on foreign-owned capital.

A Finnish Canadian in 1931 couldn't know exactly what Stalin would do in Karelia.

They could observe that Canada and the United States possessed enormous stocks of previously accumulated capital while the Soviet Union was trying to construct a new economic order from the ground up.

A Korean in Japan in 1959 couldn't know exactly what North Korea would become.

But they could ask whether the rapidly rebuilding state promising them a new future had actually accumulated independent wealth—or whether its apparent momentum rested heavily on external socialist support and reconstruction from an extraordinarily low base.

These aren't perfect signals.

They don't need to be.

They just need to improve the odds.

The best country may be the one that has already survived success

People are naturally attracted to countries on the way up.

Rapid growth is exciting.

Boomtowns create opportunities.

New industries create fortunes.

Revolutionary societies promise new beginnings.

A country where everything is already accumulated can look dull by comparison.

But if you're allocating thirty years of your life, perhaps there's something even more valuable than a country with a brilliant future.

A country with an enormous past.

Not culturally.

Financially.

A society that has already spent fifty years accumulating capital does not need everything to go right next year.

Previous generations have already done some of the work for you.

That's what accumulated wealth really represents:

stored optionality from the past.

This may be one of the great hidden differences between migration and investing.

If you're investing 2% of your portfolio in a startup, perhaps you should chase maximum upside.

If you're allocating your citizenship, family, home, social network and forty years of future life to a country, perhaps you should care far more about avoiding catastrophic downside.

The exciting country may win.

The fast-growing country may become enormously rich.

The revolutionary country may deliver exactly what it promises.

But you don't necessarily need that upside.

You need your chosen country to remain functional when the predictions turn out to be wrong.

So before emigrating somewhere because the city is fashionable, salaries are high, startups are booming, the government is currently friendly or everyone around you says that country represents the future, I would ask three questions:

How much wealth have the people of this country already accumulated?

How much of the rest of the world do they own?

If the country makes twenty years of mediocre decisions, how much balance sheet is sitting underneath it?

Those questions won't tell you exactly what will happen.

Nothing will.

And that may be the point.

The best migration heuristic isn't one that predicts the future perfectly.

It's one that lets you choose a country that doesn't need the future to go perfectly.

Why Tokyo could keep concentrating wealth after its population peaks—and why the housing windfall enjoyed by Western Boomers may not repeat for Millennials and Gen Z.

There is a strange assumption embedded in most discussions of Japanese demographics.

Japan is shrinking.

Therefore Tokyo will eventually shrink.

Therefore Tokyo property should become less attractive.

The first two statements may be true.

The third does not necessarily follow.

In fact, I think the opposite possibility deserves more attention:

Japan can shrink, Tokyo can stop adding population, and central Tokyo can still become economically more valuable.

The historical analogy I find useful is New York.

Not because Tokyo will become New York.

But because New York demonstrates something counterintuitive:

A metropolis can stop concentrating people while continuing to concentrate money.

That may be exactly the next stage of Tokyo's development.

And if it is, it has a very different implication from simply saying:

“Tokyo population will keep growing, so buy property.”

The interesting property may not be where people increasingly live.

It may be where the economic rents ultimately accumulate.

New York stopped concentrating people long before it stopped concentrating wealth

Manhattan's population peaked remarkably early.

By the postwar period, New York was already undergoing a massive residential decentralization.

People moved outward.

New Jersey expanded.

Long Island expanded.

Westchester expanded.

Connecticut became increasingly integrated into the New York economy.

Across the Northeast, Boston, Philadelphia, Baltimore and Washington developed large metropolitan systems of their own.

The old relationship between the economic center and residential center was breaking down.

People no longer needed to live in Manhattan to participate in the Manhattan economy.

They could live forty kilometers away and commute.

So the metropolitan system increasingly became:

distributed bedrooms + concentrated command center

And this is where something interesting happened.

Population spread outward.

But the highest-value economic functions did not spread proportionately.

Finance concentrated in New York.

Investment banking.

Asset management.

Capital markets.

Corporate law.

Advertising.

Media.

Professional services.

Corporate decision-making.

The Manhattan population no longer needed to explode for Manhattan to become extraordinarily valuable.

The relevant variable became:

economic value competing for access to Manhattan

rather than:

the number of people sleeping in Manhattan.

That distinction is extremely important.

The suburbs got the people. Manhattan increasingly got the money.

This sounds almost contradictory.

If people are moving outward, shouldn't economic activity move outward too?

Some of it did.

But high-value knowledge industries exhibit powerful agglomeration effects.

A hedge fund wants to be near investors, bankers, lawyers, other funds, executives, information and specialized workers.

An investment bank wants to be where the deals are.

A corporate law firm wants to be where the clients are.

The more valuable the ecosystem becomes, the more expensive it becomes not to participate in it.

So the process starts reinforcing itself:

finance concentration → high-income talent → specialized services → more finance concentration

Meanwhile, the worker does not necessarily need to live next door.

Railroads, highways and eventually digital communications allow the residential footprint to spread dramatically farther than the economic command structure.

New Jersey can therefore grow residentially without replacing Manhattan economically.

That is a very different kind of urban concentration.

And it is probably a better framework for thinking about Tokyo than simply asking whether the population of central Tokyo keeps rising.

Greater Tokyo is already more consolidated than the American Northeast

Usually people compare Tokyo to New York.

I think that comparison understates Tokyo.

A more useful abstraction is:

Greater Tokyo ≈ New York + Washington + Boston + Philadelphia

compressed into one enormous metropolitan economy.

The analogy is obviously imperfect.

But look at the functions.

Otemachi and Marunouchi contain finance and major corporate headquarters.

Kasumigaseki and Nagatacho contain the national government.

Shibuya contains technology and media.

Tokyo's universities, hospitals and research institutions provide some of the functions Boston performs in the United States.

Yokohama and Kawasaki add industrial and logistics depth.

Then an extraordinarily developed rail system ties the whole thing together.

America distributes national economic functions across New York, Washington, Boston, Philadelphia, Chicago, San Francisco and Los Angeles.

Japan distributes much more of them within one metropolitan system.

That makes Tokyo's future in a shrinking Japan especially interesting.

A shrinking country may become more centralized, not less

The normal intuition is:

population decline → everything gets smaller.

But relative concentration can increase while absolute population declines.

Imagine Japan falls from roughly 125 million people toward 100 million.

Now imagine Greater Tokyo falls only from 37 million to 34 million.

Tokyo has lost three million people.

Yet its share of Japan has increased substantially.

So:

Tokyo population decline does not necessarily mean Tokyo decentralization.

Japan could become smaller and more Tokyo-centric at the same time.

There is also an economic reason this could happen.

A large growing country can support many nearly complete ecosystems:

Tokyo.

Osaka.

Nagoya.

Fukuoka.

Sendai.

Regional centers.

A shrinking country has a harder time doing so.

Specialized industries need minimum scale.

Financial markets need counterparties.

Research ecosystems need talent.

Professional services need clients.

Headquarters prefer other headquarters.

There are increasing returns to density.

So demographic decline could eventually turn several partial ecosystems into one or two increasingly dominant ecosystems.

Tokyo starts with an enormous advantage.

Capital.

Government.

Universities.

Media.

International connectivity.

Headquarters.

Labor-market depth.

Prestige.

That could create a surprisingly powerful feedback loop:

best jobs → young talent → companies → specialized services → more best jobs

The country gets smaller.

The center becomes relatively stronger.

But central Tokyo does not need millions more residents

This is the part I think housing analysis often gets wrong.

If Tokyo becomes more dominant, people assume:

More people need to live in central Tokyo.

Not necessarily.

The New York model suggests something different.

The population can increasingly live across Saitama, Chiba, Kawasaki, Yokohama and outer Tokyo.

Those places provide larger homes, lower housing costs, schools, family space and ordinary services.

Meanwhile the highest-value economic functions continue concentrating in Chiyoda, Chuo, Minato and selected Shibuya or Shinjuku districts.

So the metropolitan system becomes more residentially polycentric while becoming economically more centralized.

In simple terms:

Saitama gets bedrooms. Central Tokyo gets command functions.

That is not a contradiction.

It may be the natural mature form of a giant metropolitan economy.

This is why I would not automatically buy Saitama, Chiba or Yokohama

There is an obvious investment mistake lurking here.

If more people live in Saitama, one might conclude:

Buy Saitama housing.

But population is not the same thing as economic rent.

A place can remain highly populated while housing returns stagnate.

Why?

Because housing supply may be relatively elastic.

If one neighborhood becomes expensive, move two stations farther out.

Build another tower.

Develop another site.

There are substitutes.

So I would divide metropolitan housing into two categories.

First:

Housing that accommodates metropolitan population.

Second:

Land that captures metropolitan economic rents.

The first can be extremely useful without becoming an extraordinary investment.

The second is where scarcity matters.

Manhattan's great advantage was not that everyone eventually had to live there.

They clearly did not.

Its advantage was that increasingly valuable economic activities competed for access to a fixed amount of land.

If Japan becomes more Tokyo-centric, the equivalent question is not:

Where will another million households sleep?

It is:

Where will an increasing share of Japanese economic command value accumulate?

That points much more toward central Tokyo than generic Greater Tokyo housing.

But this is not an argument to buy central Tokyo at any price

Tokyo itself provides the obvious warning.

Central Tokyo experienced an extraordinary property bubble around 1990.

Then it collapsed.

Prime land values fell enormously.

Some elite locations spent decades below their bubble-era valuations.

So:

great city + great long-term thesis does not equal a good investment at every price.

You can be correct about Tokyo in 2050 and still lose money buying Tokyo at the wrong valuation in 2026.

That is exactly why the New York comparison should not become:

Manhattan eventually became incredibly valuable, therefore buying Manhattan was always a good decision.

It wasn't.

There were long periods when Manhattan land produced terrible real returns.

Timing mattered.

Entry valuation mattered.

The structural thesis mattered.

All three have to align.

But Tokyo may still have something Western global cities increasingly lack

An unfinished structural revaluation.

That is what makes Tokyo interesting to me.

New York is already New York.

London is already London.

San Francisco already underwent the technology-driven revaluation.

Toronto already experienced decades of population growth, falling interest rates and housing financialization.

A buyer today is paying a price that already reflects much of that history.

Tokyo is different because Japan's demographic decline may create a new relative-centralization dynamic over the next thirty years.

The bet would not simply be:

Tokyo remains important.

That is obvious.

The bet is:

Tokyo captures an increasing fraction of Japanese economic value even as Japan shrinks.

If that happens, scarce central land could still undergo a meaningful relative revaluation.

Not necessarily an explosive one.

Not necessarily immediately.

But there is at least a plausible mechanism.

For many mature Western cities, I find the equivalent mechanism much harder to identify.

This is the uncomfortable part for Millennials and Gen Z

Their parents experienced one of the greatest housing wealth expansions in modern history.

Buyers benefited from several enormous forces simultaneously:

urbanization,

falling interest rates,

globalization,

financial deepening,

population growth,

restricted housing supply,

rising professional incomes.

Then mortgage leverage multiplied the result.

Someone bought $300,000 of housing.

Twenty or thirty years later it was worth $1.5 million.

It became one of the defining wealth experiences of the generation.

And naturally the lesson passed down was:

buying a house = building wealth.

The problem is that Millennials and Gen Z are often buying the same house at the $1.5 million end of the transaction.

That is not the same investment.

The seller captures the historical revaluation.

The buyer must discover a new one.

A house can double and still be a mediocre investment

Suppose a Millennial buys a $1 million home.

It appreciates at 3.5% per year.

Twenty years later:

$1 million → about $2 million

That sounds wonderful.

My house doubled.

But suppose inflation averages 2.5%.

The general price level rises by about 64%.

In today's purchasing power, the outcome is roughly:

$1 million → $1.22 million

Twenty years of ownership produced about 22% real capital appreciation.

And that is before mortgage interest, property tax, maintenance, insurance, renovations, and buying and selling costs.

The homeowner still built wealth.

But a large amount of that wealth may simply come from paying down the mortgage for thirty years.

That is forced saving.

It is not the same thing as the underlying asset producing extraordinary investment returns.

This distinction gets blurred constantly because nominal numbers become very large over thirty years.

The bubble may never pop

I increasingly think this is the most likely misunderstanding about Western housing.

Everyone asks:

When does the housing bubble crash?

Maybe it doesn't.

Maybe the generational disappointment happens another way.

Imagine:

Housing stays expensive + nominal prices continue rising + real appreciation becomes mediocre.

There is no 2008-style collapse.

No dramatic reset.

No moment when everyone admits the old housing model failed.

A $1.5 million house becomes $3 million.

Everyone feels richer.

But inflation absorbed much of the gain.

Carrying costs absorbed more.

The next generation simply receives a much lower real return than its parents did.

That is politically much easier than a 40% crash.

And financially it may be much more plausible.

Then comes the fiscal problem

The next twenty to thirty years contain another risk the previous generation did not face in the same way.

Developed countries are aging.

Retiree populations are growing.

Healthcare costs are rising.

Pension systems require funding.

Government debt is already high.

Defense spending is rising again.

The ratio of workers to beneficiaries deteriorates.

Governments eventually need some combination of higher taxes, lower benefits, later retirement, immigration and higher productivity.

And property is an unusually attractive tax base.

Why?

Because:

property cannot leave the country.

A corporation can relocate.

Capital can cross borders.

A wealthy person can emigrate.

Your apartment cannot.

The government knows where it is.

Its value is visible.

It can be reassessed.

And if it has appreciated enormously, taxing it can be presented politically as taxing accumulated wealth rather than productive work.

That creates a completely different long-horizon risk for today's homeowner.

I would not assume today's property-tax regime survives until 2050

This does not require dramatic confiscation.

The realistic mechanism is much slower.

Higher property-tax rates.

More frequent market reassessment.

Luxury-property surcharges.

Second-home taxes.

Vacancy taxes.

Higher transfer taxes.

Reduced capital-gains exemptions.

Inheritance taxation.

Municipal levies.

The state can increase its claim gradually.

Suppose today's effective recurring burden is 0.7% of property value.

Over twenty years it eventually becomes 1.4%.

That is a doubling of the real effective burden.

I would not call that an absurd scenario for 2030–2050.

Now put it beside 3.5% nominal appreciation and 2.5% inflation.

Your gross real appreciation is approximately 1%.

An additional 0.7% annual government claim consumes most of it.

Before insurance.

Before maintenance.

Before financing.

That changes the economics dramatically.

Property taxes also reduce the value of the property itself

This is easy to overlook.

Suppose future buyers know they must pay $20,000 more every year in recurring property taxes.

They will not simply absorb that cost without changing what they are willing to pay.

The future tax liability gets capitalized into the asset.

So higher property taxation can hit an owner twice:

higher annual carrying cost + lower capital value than otherwise.

This is why I think thirty-year housing models that assume the current property-tax structure remains unchanged are too optimistic.

The house is permanent.

The tax regime isn't.

Western governments may gradually harvest the housing gains of the previous generation

There is an awkward political logic here.

Older households accumulated enormous property wealth.

Younger households find housing unaffordable.

Governments face growing welfare-state costs.

Expensive urban property therefore becomes a highly attractive target.

Not necessarily through:

Take away their homes.

More likely:

let nominal property values remain high + increase the state's share of the land rent.

That equilibrium has several advantages.

Banks do not suffer a housing collapse.

Existing owners continue seeing high nominal valuations.

Governments collect more revenue.

Politicians can tell younger voters that wealthy property owners are contributing more.

You don't need to pop the bubble.

You slowly harvest it.

The previous generation experienced the Great Revaluation

The next generation may experience the Great Harvest.

That is how I would distinguish the two eras.

The twentieth-century housing winner bought before the Great Revaluation.

The city became globally important.

Land became scarce.

Interest rates fell.

Credit expanded.

Population grew.

High-value industries concentrated.

The owner captured the increase.

The Millennial or Gen-Z buyer may increasingly purchase into the Great Harvest.

The city is already globally important.

The land is already expensive.

The previous owner already captured much of the structural revaluation.

Affordability creates political constraints on further appreciation.

Governments increasingly need revenue.

So the remaining land rent gets divided among:

owner + bank + government + insurer + maintenance sector

The homeowner can still do fine.

But that is completely different from becoming wealthy simply because they happened to buy urban land before everyone realized how valuable it would become.

This is why Tokyo is the housing market I still find structurally interesting

Not because Tokyo housing cannot decline.

It can.

Not because Japanese demographics are good.

They aren't.

Not because Tokyo is obviously cheap.

It isn't.

Tokyo interests me because I can still identify a plausible structural transformation that has not necessarily finished:

Japan shrinks → economic activity consolidates → Tokyo captures a larger share → central Tokyo captures an even larger share of command functions.

Meanwhile residential population can remain distributed across the giant Greater Tokyo system.

That resembles New York's mature metropolitan evolution:

population spreads outward + money concentrates inward.

If that happens, central Tokyo land could capture something that generic Saitama or Chiba housing does not.

Not population growth.

Agglomeration rent.

That is a much stronger investment thesis.

But I would still wait for price

The conclusion is not:

Buy Tokyo immediately.

The conclusion is:

Tokyo has a structural story worth waiting to buy correctly.

There is a huge difference.

Tokyo's own 1990s history demonstrates what happens when someone buys an excellent city at an absurd valuation.

The ideal setup would be:

temporary property dislocation + permanent economic centralization

A recession.

A demographic wave.

Higher rates.

Inheritance supply.

A temporary withdrawal of foreign buyers.

Anything that pushes down central Tokyo property without changing the underlying concentration thesis.

That would be far more interesting than simply chasing prices because Tokyo appears destined to remain important.

The question I would ask before buying property anywhere

Not:

Is this a good city?

And not:

Will people still want to live here in thirty years?

Those are too easy.

I would ask:

What major economic revaluation remains for me—the next owner—to capture?

Manhattan had one.

San Francisco had one.

London had one.

Toronto had one.

The people who bought before those transformations received extraordinary returns.

The people buying today are paying those people for the transformed asset.

So where is the next revaluation?

If there isn't one, then the investment may still be perfectly reasonable as a place to live.

But don't confuse:

good place to live

with:

extraordinary leveraged investment.

Those are not the same thing.

And that may be the central housing mistake of the next generation.

Millennials and Gen Z watched their parents buy houses for hundreds of thousands of dollars and sell them for millions.

They naturally expect some version of the same process.

But there is no law requiring every generation to receive another giant urban-land revaluation.

The next thirty years may instead produce:

houses remain expensive + nominal prices continue rising + real appreciation disappoints + property taxation expands.

No crash required.

And that is exactly why Tokyo is interesting.

Not because housing is always a good investment.

But because in a shrinking Japan, central Tokyo may be one of the few places where the underlying economic concentration story could still have another chapter left.

For most of the last fifty years, Singapore looked like the country that had solved economic development.

It did not have America's domestic market.

It did not have China's population.

It did not have Japan's industrial depth.

It had almost no natural resources and very little land.

So Singapore competed on something else:

Make it unusually attractive for global capital to operate here.

Keep taxes low.

Make regulation predictable.

Protect contracts and intellectual property.

Build excellent infrastructure.

Import talent.

Make visas work.

Create special incentives when necessary.

Then allow multinational companies to plug themselves into the system.

The model worked extraordinarily well.

Singapore became simultaneously:

• a financial center;
• a trading hub;
• a regional-headquarters center;
• a logistics hub;
• a semiconductor producer;
• a pharmaceutical producer;
• an aerospace center.

It became perhaps the purest expression of the economic logic that dominated the world from roughly 1980 to 2030.

And that is precisely why Singapore may now be one of the most interesting countries to watch.

Because the rules of competition may be changing underneath it.

Singapore perfected the era of the tax break.

The world may now be entering the era of the subsidy.

And I don't think this is merely a temporary burst of industrial policy caused by COVID, China or semiconductor shortages.

It may be connected to a much larger technological transition:

1980–2030: The Great Decentralization

followed by:

2030–2070: The Great Reconcentration

If that is right, Singapore's problem tells us something much larger about what the next fifty years could look like.

Singapore was optimized for a decentralizing world

Think about the technologies that dominated the last fifty years.

Again and again, technology took capability that previously belonged to large institutions and distributed it downward.

Mainframe → PC.

Broadcast media → internet creator.

Corporate office → laptop and remote worker.

Library → internet.

Bank branch → phone.

Department store → e-commerce.

Recording studio → bedroom producer.

Institutional computing → personal computing.

And now AI may complete the sequence:

Institutional procedural knowledge → personal AI agent.

This last step is more important than simply giving everyone access to information.

The internet already gave you the tax code.

It did not necessarily tell you how to comply with it.

The internet gave you immigration regulations.

It did not necessarily identify exactly which documents applied to your situation, prepare them, monitor your case, challenge a rejection and navigate the bureaucracy.

The internet gave you medical literature.

It did not turn you into a physician.

The internet gave a small business access to employment law, accounting rules, procurement requirements and corporate regulations.

It still required lawyers, accountants, consultants and administrators to actually operate inside those systems.

AI potentially attacks that final institutional advantage.

Rules + documents + precedent + your circumstances → action.

That could give one person administrative capabilities that previously required an organization.

So the deeper pattern of the digital era was:

Institution → company → small team → individual.

The minimum efficient unit kept shrinking.

And Singapore was exceptionally well suited to this world.

When businesses became increasingly footloose, Singapore didn't need to own the companies.

It simply needed to provide the best environment around them.

The winning government asked:

How can I reduce friction?

Tax.

Regulation.

Capital controls.

Permitting.

Immigration.

Legal uncertainty.

Infrastructure failure.

Reduce enough of those, and global capital arrives on its own.

This was the era of the regulatory sandbox

The characteristic policy instrument of this world was not the gigantic government factory.

It was the regulatory sandbox.

The basic promise was:

Come here. We will let you experiment.

The state did not necessarily need to build your industry.

It created the conditions under which private capital could build the industry itself.

For many kinds of digital businesses, that was enough.

A software company did not require the Singaporean government to reconstruct the country before it could operate.

It needed talent, capital, servers and legal certainty.

That is an extraordinarily lightweight development model compared with building a steel industry, national highway network or shipbuilding complex.

Singapore became extremely good at it.

But Singapore also made an unusual decision.

Unlike Hong Kong, it refused to abandon manufacturing.

Singapore deliberately maintained a large manufacturing base, concentrating on capital-intensive sectors such as semiconductors, pharmaceuticals, chemicals and aerospace.

That worked because Singapore could combine:

• excellent infrastructure;
• political stability;
• tax incentives;
• IP protection;
• global talent;
• world-class logistics.

A multinational might rationally pay somewhat higher labor and land costs because everything surrounding the factory worked.

For decades, this was a formidable package.

But now something strange is happening.

The competitors stopped merely offering better environments

Imagine a semiconductor company deciding where to put a $20 billion fabrication plant.

Singapore can say:

We have excellent courts, outstanding logistics, predictable regulation and competitive taxes.

America can increasingly say:

We will give you billions of dollars.

Japan:

We will give you billions, subsidize your R&D and organize the supplier ecosystem around you.

Korea:

We will finance the plant, help build the power and water infrastructure and support the surrounding semiconductor cluster.

China:

We will mobilize the state around the entire industry.

Singapore itself has responded by creating refundable investment incentives that can support a substantial share of qualifying investment.

That is already a move away from the older model in which the main weapon was simply a low effective corporate tax rate.

The important change is conceptual.

Old competition: Which government takes the least from the company?

New competition: Which government contributes the most to building the system?

That is a completely different game.

And large states have an obvious advantage.

People may be treating today's subsidies as temporary

The conventional explanation is straightforward.

COVID broke supply chains.

China became a geopolitical threat.

Governments panicked about semiconductors.

So America, Japan, Korea and Europe temporarily subsidized strategic industries.

Eventually things normalize.

Perhaps.

But I think there is a much more severe possibility.

Semiconductors may simply be the first visible example of the new capital economics.

Because what comes after AI is not merely more software.

It is AI entering the physical world through:

AI + robots + batteries + sensors + autonomy + advanced semiconductors + new energy systems.

And that could require rebuilding enormous portions of national capital stock.

Not upgrading them.

Rebuilding them around different assumptions.

We keep imagining AI attached to the twentieth century

Most discussions of AI infrastructure are strangely conservative.

We take the existing world and add robots.

Road + sensors.

Warehouse + robotic forklift.

Hospital + AI doctor.

School + AI tutor.

Military + drone.

But major general-purpose technologies historically did something more radical.

The automobile did not merely replace the horse.

Eventually it produced:

• highways;
• suburbs;
• parking;
• gas stations;
• shopping malls;
• motels;
• truck logistics;
• new zoning;
• new metropolitan geography.

America was physically rebuilt around the automobile.

Electricity was similar.

Factories initially replaced steam power with electric motors.

But the larger productivity gains came when factories themselves were reorganized around electricity.

The Green Revolution was not simply a better seed.

It required fertilizer, irrigation, machinery, storage, roads, finance and distribution.

The complementary infrastructure changed.

That is what a genuine technological revolution eventually means.

So the correct question about AI is not:

Where should we install robots?

It is:

What would we build if we designed the country from scratch assuming intelligence, sensing and physical machine labor were abundant?

That gives very different answers.

Imagine the hospital built from scratch

Suppose by 2050 many basic medical functions happen at home.

Skin screening.

Blood pressure.

ECG.

Routine blood tests.

Urine analysis.

Sleep monitoring.

Basic imaging.

Continuous biomarkers.

AI increasingly interprets them.

At first glance that looks like another example of decentralization:

Hospital → home.

But that may be misleading.

Because the functions left inside the hospital become the extremely capital-intensive ones.

Surgery.

Complex imaging.

Cell therapy.

Emergency medicine.

Advanced oncology.

Robotic intervention.

Imagine a future medical facility containing:

• hundreds of specialized surgical robots;
• automated pathology;
• massive imaging systems;
• genomic laboratories;
• robotic pharmacies;
• cell-manufacturing facilities;
• enormous AI compute;
• automated logistics;
• highly specialized human experts supervising machines.

Why reproduce that infrastructure every few kilometres?

If transportation also becomes autonomous and much faster, the catchment area of one medical facility expands enormously.

You might end up with:

Home diagnosis → local stabilization → giant regional intervention center.

And why put that center on extremely expensive downtown land?

Perhaps it sits fifty kilometres outside the city beside cheap land, enormous electricity supply, highway, rail, autonomous aircraft access and data-center infrastructure.

The future hospital begins to resemble:

TSMC fab + airport + medical campus.

That is not today's hospital with AI attached.

It is a different institution.

Now do the same thought experiment everywhere

The robot-native warehouse is not today's warehouse with fewer workers.

Its entire geometry changes because aisles no longer need human width.

Lighting may matter less.

Temperature can change.

Shelving changes.

Vertical space changes.

Loading changes.

Factories undergo the same transformation.

Ports become gigantic automated machines.

Mining changes.

Agriculture changes.

Construction changes.

Military bases change.

Power infrastructure changes.

Transportation changes.

Cities themselves eventually change.

If autonomous vehicles don't need the same parking, road geometry, fueling infrastructure or safety margins as human drivers, then simply installing sensors on existing roads misses the point.

The road system itself may eventually be redesigned.

And once that happens across enough industries, we are no longer discussing technological adoption.

We are discussing:

National recapitalization.

This may be a fundamentally centralizing technological era

This is where the last fifty years become a dangerous guide to the next fifty.

The digital revolution repeatedly lowered the amount of fixed capital required to possess capability.

A television network once required enormous capital.

YouTube allowed one person to distribute video globally.

A recording studio once required enormous capital.

Software allowed a teenager to produce music in a bedroom.

Computing once required institutional hardware.

The PC pushed it onto an individual's desk.

The pattern was simple:

Fixed cost ↓

But advanced physical systems can move in the opposite direction.

The best facility may require much larger fixed investment.

At the same time, automation reduces the marginal cost of operating it.

Autonomous logistics reduce the cost of distance.

Put those together:

Fixed cost ↑

Marginal operating cost ↓

Cost of distance ↓

And the economic pressure is obvious:

Optimal scale ↑

Huge fixed costs.

Tiny marginal costs.

Large service radius.

That is almost the perfect recipe for concentration.

Humans were one reason physical capital had to be distributed

This is another implication we rarely discuss.

Factories require workers.

Workers require houses.

Workers require reasonable commutes.

Hospitals require thousands of employees.

Warehouses require labor pools.

Ports require dockworkers.

Mines need entire settlements.

Human labor forced some degree of geographical dispersion.

Machines don't necessarily care where they live.

A gigantic robotic factory can theoretically sit eighty kilometres from a city beside a power plant, rail terminal, water supply and cheap land.

The human managers can be few.

Some can operate remotely.

So eliminating humans from production can paradoxically make production more geographically concentrated.

Likewise, autonomous transportation reduces one of the primary penalties of centralization:

Distance.

This could produce larger warehouses.

Larger ports.

Larger hospitals.

Larger industrial campuses.

Larger energy complexes.

Larger research centers.

Perhaps even larger metropolitan concentrations.

The cloud may have shown us the pattern already

The digital revolution supposedly decentralized computing.

And from the user's perspective, it did.

Everyone has a smartphone.

Everyone has a computer.

Everyone can access enormous computational capability.

But look underneath.

The backend increasingly became:

Hyperscale data center.

The interface decentralized.

The physical infrastructure recentralized.

AI pushes this further.

Millions of people have personalized AI interfaces.

Behind them sit enormously expensive concentrated systems involving GPU clusters, power infrastructure, cooling, fiber and semiconductor fabs.

That architecture may now spread beyond computing.

The home health monitor becomes the terminal.

The giant robotic medical complex becomes the data center.

The delivery robot becomes the terminal.

The enormous autonomous logistics campus becomes the data center.

The AI tutor becomes the terminal.

The giant research institution with advanced laboratories and compute becomes the data center.

The user experiences decentralization.

Capital experiences concentration.

And in the next technological regime, it may be the capital side that matters more.

Now return to Singapore

This creates an uncomfortable problem.

Singapore built perhaps the world's most sophisticated strategy for attracting internationally mobile capital.

But what if capital becomes less internationally mobile unless governments move with it?

Suppose the next semiconductor complex requires:

• $20 billion of factory investment;
• $5 billion of energy infrastructure;
• $3 billion of supplier ecosystem;
• $2 billion of training and R&D.

The question is no longer:

Which country gives the company the nicest regulatory environment?

It is:

Which state can coordinate a $30 billion system?

Singapore can certainly subsidize selected projects.

It has immense institutional competence and unusually strong fiscal capacity for a small country.

But it cannot rationally compete with the United States, China, Japan, Korea and Europe across every strategic sector.

So it must choose.

Perhaps Singapore remains dominant in:

• selected semiconductor niches;
• biologics;
• aerospace;
• financial services;
• regional headquarters;
• logistics.

But the cost of maintaining its famous finance + manufacturing combination rises.

In the old world, that diversification was supported by exceptional regulation, tax advantages and infrastructure.

In the new world, it may increasingly require writing very large cheques.

Hong Kong suddenly looks different

This also makes Hong Kong's extreme specialization more interesting.

Hong Kong allowed almost all physical manufacturing to migrate into the Pearl River Delta decades ago.

Conventional analysis treats that as vulnerability:

Singapore kept manufacturing. Hong Kong became dangerously dependent on finance.

But perhaps Hong Kong made a different bet.

It effectively said:

China will own the gigantic physical capital stock. We will try to own the financial layer above it.

Hong Kong doesn't need to place the factory inside Hong Kong.

Shenzhen, Dongguan and the wider Greater Bay Area can contain the physical production.

Hong Kong can concentrate on capital, wealth management, financial intermediation, RMB flows and asset markets.

That may prove risky.

But it avoids one particular problem Singapore now faces:

Having to continuously bid against giant sovereigns for industrial capital.

Singapore purchased diversification insurance.

The premium on that insurance may now be rising.

The tax haven may be an institution of the old technological regime

This is the broader point.

The globalization era rewarded small states capable of creating exceptional rules.

Ireland did not need to outspend America.

Singapore did not need China's domestic market.

Hong Kong did not need its own industrial hinterland.

The competitive advantage was:

Competence + tax + regulation + openness.

That allowed tiny jurisdictions to intermediate economic activity vastly larger than themselves.

But if the central economic problem becomes:

Build $50 billion of new physical infrastructure before somebody else does,

scale returns.

A large sovereign possesses something a regulatory sandbox cannot reproduce:

A gigantic balance sheet.

And subsidies become more than corporate welfare.

They become one mechanism through which the country rebuilds itself around the next technological system.

Subsidies may therefore keep expanding

Today:

Semiconductors are strategic.

Tomorrow:

Batteries are strategic.

Then robotics.

Then autonomous transport.

Then electricity.

Then ports.

Then defense production.

Then perhaps medical infrastructure.

Each investment creates complementarities that require another investment.

A semiconductor ecosystem needs power.

Power needs grid investment.

AI compute needs chips.

Robotic factories need AI.

Autonomous logistics need roads, ports and charging infrastructure.

And once a country has invested enormous sums into the first layer, abandoning the next layer can destroy the value of what it already built.

Subsidy → capital stock → complementary capital → next subsidy.

At the same time:

U.S. subsidies ↑ → Japan subsidies ↑ → Korea subsidies ↑ → China subsidies ↑

Nobody needs to like this equilibrium.

They simply have to fear losing the strategic capital stock.

The next fifty years may look less like 1980–2030 than we assume

One of the strongest biases in technology is assuming that the direction of the last technological era is the natural direction of technology itself.

For fifty years:

Technology decentralized capability.

So we assume the future means:

smaller organizations, distributed networks, remote work, individualized tools, lighter infrastructure.

But there is no law saying technology must decentralize.

The technologies of the digital era happened to attack information costs.

The technologies now emerging may attack labor, transport and coordination costs while increasing the fixed capital required to operate at the frontier.

That produces the opposite economics.

1980–2030: Minimum efficient unit shrinks.

2030–2070: Minimum efficient physical system expands.

This does not mean individuals become powerless.

Quite the opposite.

AI may make an individual extraordinarily capable.

But behind that individual could sit increasingly enormous physical systems.

Personal intelligence. Concentrated capital.

Singapore may tell us when the regime has changed

That is why I would watch Singapore.

Singapore is not declining.

It may remain one of the richest and most competent societies on Earth.

That isn't the interesting question.

The interesting question is what Singapore has to do to remain Singapore.

If ten years from now it can still win frontier industries primarily through better regulation, better infrastructure, better talent and reasonable taxes, then perhaps the globalization-era model remains alive.

But if maintaining the same position increasingly requires:

• billions in subsidies;
• state financing;
• energy guarantees;
• government-built infrastructure;
• industrial coordination;

then something deeper has changed.

The country that perfected the regulatory sandbox will have been forced to become a subsidy state.

And Singapore won't be unusual.

It will simply be early enough, small enough and competent enough that the transition is easy to see.

The defining question of the old era was:

How little friction can the state impose on capital?

The defining question of the next may be:

How much capital can the state mobilize to rebuild the physical economy?

That is a profound reversal.

And if the next technological regime really does require countries to reconstruct hospitals, ports, factories, energy systems, military infrastructure, logistics and eventually cities around autonomous machines, then today's semiconductor subsidy race is not the aberration.

It is the opening scene.

Singapore built the perfect state for the age of decentralization.

The next test is whether the same state can adapt to an age of radical reconcentration.

I think there is a geopolitical possibility that is still maybe three years ahead of mainstream discussion.

Most people assume the defining international conflict of the next several decades is already fixed:

United States vs. China.

A new Cold War.

Washington builds one technology bloc. Beijing builds another. Europe, India, Japan, Southeast Asia and everyone else maneuver between them.

Europe in particular seems to believe this rivalry gives it room to construct a “third pole”: European defense autonomy, European cloud, European AI, European industrial policy, European regulation.

I think that assumption could be badly wrong.

The largest geopolitical shock to Europe may not come from worsening U.S.–China relations.

It may come from improving U.S.–China relations.

Not friendship. Not an alliance. Not China becoming democratic or America accepting Chinese hegemony in Asia.

Just a deal.

A sufficiently durable settlement in which Washington and Beijing decide which economic relationships are acceptable, which technologies may cross the border, which markets remain protected, and which military confrontations are better left below the threshold of war.

Once that happens, an uncomfortable question appears:

Where does the enormous political and economic pressure currently directed by the United States and China at each other go instead?

My answer is increasingly: Europe.

Rivalry is currently giving Europe a subsidy

There is an underappreciated benefit to being the third player when the first two desperately want to defeat each other.

If America believes Europe could drift toward China, Washington has an incentive not to push Europe too hard.

If China believes Europe could fully align with America, Beijing has an incentive not to push Europe too hard either.

Europe receives what we might call swing-state rents.

Both sides want access to the European market. Both want European diplomatic support. Both worry about European technology ending up in the other's ecosystem.

That gives Europe optionality.

But optionality is valuable only while the two largest players are competing for you.

If they eventually conclude that there is more value in stabilizing their own relationship than in fighting over every third country, the calculation reverses.

Europe stops being the prize.

Europe becomes the market to be divided.

China is not the Soviet Union

One reason I think a U.S.–China settlement is more plausible than conventional Cold War analogies imply is simple:

China and America actually do enormous amounts of business with each other.

Even after years of tariffs, technology controls and “decoupling,” U.S.–China goods trade was still approximately $415 billion in 2025.

That is fundamentally different from the economic structure of the original Cold War.

A 1962 U.S. State Department policy review described trade with the Soviet Union as economically and commercially negligible from the American perspective.

The United States and Soviet Union could sustain an almost purely geopolitical rivalry because relatively little commercial value had to be sacrificed to maintain it.

The U.S.–China relationship is different.

American companies want parts of the Chinese market.

China wants American technology, agricultural products, finance and selected industrial goods.

American consumers and firms still consume Chinese production.

Chinese companies still have enormous incentives to reach American consumers.

The two governments can therefore simultaneously be strategic adversaries and have hundreds of billions of dollars of reasons to negotiate.

We are already seeing this pattern. The 2025 U.S.–China economic agreement included Chinese commitments on long-term purchases of American agricultural products and changes to restrictions involving rare earths and critical minerals.

That doesn't mean the rivalry is ending.

It means rivalry and bargaining can coexist.

And historically, that is normal.

Superpowers make deals more often than we remember

Our popular version of geopolitics tends to divide states into friends and enemies.

History is considerably messier.

Britain and the Soviet Union were wartime allies, yet Churchill and Stalin discussed explicit spheres of influence in Romania, Bulgaria, Greece and Yugoslavia. U.S. diplomatic records from the period straightforwardly describe a British-Soviet “spheres of influence arrangement.”

At Yalta, the Western allies made concessions concerning Soviet interests in East Asia in return for Soviet participation in the war against Japan.

Even the supposedly eternal U.S.–Soviet Cold War produced détente in the 1970s when both governments concluded that limiting parts of their confrontation served their interests.

Great powers don't need to like each other.

They only need to conclude:

We can get more by limiting our conflict here and bargaining with each other there.

That is why I don't think the relevant future scenario is a dramatic secret treaty dividing Europe.

It could be much more boring.

And therefore much more plausible.

Washington and Beijing could simply reach a series of agreements:

Certain Chinese products can enter America.

Certain American products and technologies can enter China.

Some export controls stay. Others disappear.

Certain industries remain strategically protected.

China guarantees some critical-material exports.

America gives Chinese firms more predictable treatment in selected sectors.

Both sides establish clearer red lines around military confrontation.

Taiwan remains unresolved, but the rules of escalation become more predictable.

Neither government gives up its strategic ambitions.

They simply stop spending quite so much political capital trying to economically strangle the other.

That alone changes the world.

Japan has already lived through the danger of being the ally

There is another assumption Europeans should question:

“America wouldn't deliberately damage the industrial position of an ally.”

Japan already tested that proposition.

In the 1980s, Japan was not an adversary of the United States.

It was one of America's closest allies.

It hosted American forces. It sat firmly inside the U.S.-led security system. It was on America's side in the Cold War.

None of that stopped Washington from applying extraordinary economic pressure once Japanese industrial power began threatening major American industries.

The 1986 U.S.–Japan Semiconductor Agreement was particularly revealing.

The Reagan administration explicitly said the agreement was designed not only to increase American semiconductor access to Japan, but also to prevent Japanese semiconductor dumping in third-country markets.

When Washington concluded Japan wasn't complying, Reagan announced tariffs on as much as $300 million of Japanese exports.

Think about what that means.

America wasn't merely protecting its own domestic market.

It was negotiating the competitive behavior of Japanese companies outside both Japan and the United States.

Then there was the Plaza Accord.

The Plaza Accord was not literally an American-European conspiracy to destroy Japan. Japan participated voluntarily alongside the United States, West Germany, France and Britain, and the immediate objective was correcting an extremely strong dollar and large external imbalances.

But Japan experienced enormous consequences from the resulting yen appreciation.

The Bank of Japan itself later wrote that the sharp yen appreciation following Plaza triggered the rapid transfer of Japanese production lines into other East Asian economies beginning in the late 1980s.

Manufacturing networks spread through Korea, Taiwan, Southeast Asia and eventually China.

Again, I am not arguing that Washington secretly designed a master plan saying:

“Destroy Japanese manufacturing and give it to China.”

History rarely works that cleanly.

The more important lesson is that Washington was willing to impose policies on an extremely close ally because America's economic interests had changed.

The downstream industrial geography then evolved for decades.

That is exactly the point Europeans should remember.

Being an ally does not guarantee that your industrial interests will be protected when they conflict with those of the hegemon.

Now imagine the same mechanism in AI

Europe is currently trying to construct technological sovereignty.

The European Commission explicitly talks about reducing strategic dependencies and building more sovereign European AI and cloud infrastructure. Its Apply AI strategy promotes a “buy European” approach, particularly in the public sector.

Europe is building 19 AI Factories and has launched plans for enormous AI Gigafactories. The Commission says these investments are meant to increase technological leadership, resilience and strategic autonomy.

On paper, this makes sense.

But sovereign AI doesn't work merely because you build a datacenter and train a European model.

You need demand.

You need procurement.

You need European governments and regulated industries willing to buy the European product even when an American or Chinese alternative is cheaper, larger or technically better.

That requires political protection of the ecosystem while it scales.

And this is precisely where a U.S.–China accommodation could become dangerous.

The pincer

Suppose America and China stop treating each other as the primary destination for their economic coercion.

Their interests toward Europe are different.

But they can become complementary.

China has enormous manufacturing capacity.

If substantial parts of the American market remain protected from Chinese goods, Chinese companies need somewhere else to sell.

Europe is one of the richest remaining markets in the world.

So Chinese pressure on Europe concentrates in:

EVs.

Batteries.

Solar.

Machinery.

Electronics.

Industrial components.

Eventually increasingly sophisticated capital goods.

China doesn't have to intend to deindustrialize Europe.

Its companies simply need customers.

America approaches from the opposite direction.

Its strongest European interests increasingly lie in:

AI.

Cloud.

Software.

Advertising.

Finance.

Intellectual property.

Aerospace.

Defense technology.

So Washington's pressure becomes:

Don't discriminate against American cloud companies.

Don't reserve government AI contracts for European providers.

Don't create digital rules specifically disadvantaging American platforms.

Don't subsidize European competitors while excluding American companies.

Keep your market open.

Now Europe has a problem.

China attacks the margins of Europe's physical economy.

America attacks the protected space Europe needs to create a digital economy of its own.

And Russia can simultaneously increase the security cost of remaining European.

This does not require coordination.

It doesn't require Xi and Trump sitting in a room discussing how to destroy Europe.

It merely requires each country pursuing its own interests.

The resulting structure could be:

China → European manufacturing

United States → European digital economy

Russia → European security costs

while Europe is simultaneously trying to finance pensions, defense, energy transition, semiconductor subsidies and sovereign AI.

That is the squeeze.

What twenty years of the squeeze could look like

It is easy to make this argument sound dramatic because the geopolitical mechanism is dramatic.

So let's put numbers on it.

Not because anyone can forecast Europe in 2046 to the decimal point.

But because there is an enormous difference between saying:

“Europe could decline.”

and saying:

“What would have to happen for Europe to end up 30% poorer than it otherwise would have been?”

The answer is: surprisingly little, if the damage compounds for twenty years.

Today the European Union is still an enormous economy.

The IMF puts EU GDP at roughly $23 trillion in 2026, with about 451 million people.

The mistake would be imagining that some geopolitical squeeze needs to make those $23 trillion disappear.

It doesn't.

Europe can remain wealthy.

Paris can still be beautiful.

Germany can still manufacture excellent machinery.

Dutch people can still have excellent infrastructure.

Europeans can still take vacations and live longer than Americans.

What changes is the trajectory.

Suppose a Europe that successfully maintained its security, industrial base and technological sovereignty could grow real GDP per person by around 1.2% a year over the next twenty years.

That isn't an Asian miracle.

It's fairly modest growth for an advanced economy.

Now imagine the world I have been describing.

America gradually stops acting as the unquestioned guarantor of European security.

Not necessarily leaving NATO.

Not necessarily announcing that Article 5 is dead.

Something subtler may be enough:

Russia intervenes somewhere on Europe's periphery.

Washington hesitates.

Russia probes again.

Washington says the Europeans need to handle their own neighborhood.

Every government and every investor now understands that a Russian military intervention in Europe no longer automatically produces overwhelming American involvement.

At the same time, China is redirecting industrial capacity toward Europe because much of the American market remains protected.

And American digital companies are increasingly focused on Europe because China remains partially closed to them.

Europe is now being squeezed simultaneously in:

security, physical industry and digital value capture.

How much does that actually matter?

Start with just growth

Suppose European real GDP per capita doesn't collapse.

It simply stagnates.

Instead of growing 1.2% annually, it grows 0%.

After twenty years, Europe is already roughly:

21% poorer than the Europe that could have existed.

Nothing catastrophic needed to happen in any particular year.

No Great Depression.

No 30% unemployment.

No destruction of Paris.

Just twenty years of:

1.2% becoming 0%.

Now make the environment slightly worse.

Suppose real GDP per person falls by 0.3% annually on average because investment is weaker, taxes are higher, capital moves elsewhere and repeated security crises periodically interrupt growth.

After twenty years, Europe is roughly:

26% behind the counterfactual.

Add just a 5% permanent level loss from one serious military/security crisis—capital destruction, disrupted trade, refugee flows, infrastructure spending, financial-market repricing—and the gap approaches:

30%.

Go one step further.

Suppose Europe averages −0.5% per-capita growth, with a 10% persistent level shock from repeated Russian military interventions or one major confrontation.

Now Europe ends up roughly:

36% poorer than the peaceful counterfactual by 2046.

And in a genuinely severe version—around −1% annual per-capita growth combined with a persistent 15% security shock—the loss gets close to:

45%.

Those aren't forecasts.

They're arithmetic.