Japan Took 30 Years to Recover. China May Not Get the Same Chance.
Updated: 1 minute ago
Japan spent three decades in near-zero growth after its property bubble burst in 1991, and only in the last two years has a genuine recovery finally taken hold. China's property bubble has been bursting since 2021, its debt is harder to see clearly than Japan's ever was, and Beijing has already legislated against a threat, AI-driven job losses, that Washington is still only debating. What the gap between the two economies means for where the next decade of ASX-relevant growth is likely to land is the question this piece sets out to answer.
Samso Insights | Macro & Geopolitical | China | AI & Capital |
READING THE SERIES This piece runs in two parts. Part 1, this piece. Sets out the macro case: Japan's precedent, China's property crisis, its debt structure, the population decline and the AI-jobs tension arriving at the same time. Part 2. Looks at where the capital is actually flowing, tungsten, copper, tin and iron ore producers, and the ASX and TSX-listed AI companies positioned to benefit. |
WHAT THIS PIECE COVERS 1.00 THE ONLY PRECEDENT ON RECORD What happened to Japan after 1991, and why it is the only comparison available. The 2013 plan to move 250 million people into cities, and what has replaced it. Where the developer collapse now stands, legally and economically. How much was overbuilt, and why nobody agrees on the number. Japan's debt is measured. China's is a range, and the range is the problem. 6.00 THE POPULATION THAT ISN'T COMING The cities are growing while the country is shrinking. 7.00 AI ARRIVES AT THE SAME MOMENT What Beijing is legislating against, and the jobs question underneath it. 8.00 WHAT THE FORECASTS ACTUALLY SAY A managed slowdown, with the weak point named by the forecasters themselves. 9.00 WHERE THIS LEAVES THE READER The slower path, the harder path, and what decides which one China gets. |
A note on the vocabulary and the sources. Technical and mining terms are explained in plain English where they first appear, and all of them are collected in one box at the back. Every source carries an identifier, [R1] to [R50], and that identifier appears in the body text at the point the source is used, so any figure can be traced to where it came from.
1.00 — THE ONLY PRECEDENT ON RECORD
Japan already ran this experiment once
In 1991, Japan's property bubble burst, and the country spent the next three decades in near-zero growth, near-zero inflation, and a debt load that climbed past 200% of GDP the entire time. It survived intact, no default, no collapse, and only in the last two years has a genuine recovery finally taken hold, with sustained inflation, real wage growth, and interest rates rising for the first time since the 1990s. Japan is the closest thing on record to a completed experiment in how a debt-fuelled property bubble plays out over thirty years (see FIG. 01).
FIG. 01 — Japan's urban land price index, six largest cities, residential, indexed to the 1991 peak. Source: Japan Real Estate Institute data as reported by CEIC, on the index level through 2017 (the most recent year with a directly comparable published figure on this index series). *The 2026 point is Samso's own estimate, not a directly published index value on this series, based on Japan's Ministry of Land, Infrastructure, Transport and Tourism reporting nationwide land prices rising for a fifth consecutive year to March 2026, the strongest annual increase since 1992.[R37]
China's property bubble started bursting in 2021, and by most of the measures that matter, investment, construction, sales, it is still falling. That alone would make the Japan comparison worth drawing. What sharpens it is that China is also carrying two pressures Japan never had to face at the same time, a population that is already shrinking rather than merely ageing, and an AI-driven threat to jobs that barely existed in any serious form during Japan's own lost decades. Beijing has already legislated against that threat, banning AI-driven dismissals and proposing automation caps, while Washington is still only debating whether to.
This connects beyond China itself. China is now running the live version of the experiment Japan already completed, with fewer of Japan's advantages and at least two extra variables layered on top. Where that experiment lands, and how long it takes, matters directly to anyone trying to work out where the next decade of ASX-relevant growth is likely to come from. That's the question this piece, and Part 2 after it, is built to answer.
2.00 — THE MEGACITY PLAN
Renewal has replaced expansion, but the assumptions haven't changed
The idea that China would move 250 million rural residents into cities dates back to a 2013 State Council plan.[R1] The goal then was to get 70% of the population, roughly 900 million people, living in cities by 2025, up from about half at the time. The logic rested on one idea. Rural households in China are largely self-sufficient and consume little, so moving them into cities, and giving them city incomes and city habits, would create a domestic consumer base that doesn't depend on exports.
That plan is now over a decade old, and China has moved on to a different phase. The 15th Five-Year Plan, covering 2026 to 2030, has shifted the language from expansion to renewal.[R2] The urban renewal campaign under that plan is expected to require at least 15 trillion yuan, around US$2.2 trillion, over five years, covering everything from pipelines and drainage to dilapidated housing and elderly-care facilities.[R3] Separately, Beijing has outlined a plan to fuse major cities into 19 megaregions, of which Hong Kong's Northern Metropolis project, linking into the wider Greater Bay Area, is one example already under construction (see FIG. 02).[R4]
FIG. 02 — Shenzhen, seen from Hong Kong across the border, two of the cities being fused into the Greater Bay Area megaregion. Photo: Sparktour, Wikimedia Commons, 29 August 2019, CC BY-SA 4.0.[R28]
The mechanism meant to make this work is reform of the hukou, China's household registration system.[R5] Historically, your hukou tied your access to schooling, healthcare and welfare to wherever you were officially registered, not wherever you actually lived, which is why migrant workers who moved to cities for decades often couldn't access the services those cities provided. Under the current urbanisation plan, rural residents face almost no restrictions moving to any city under 5 million people, and are promised the same entitlements as existing residents.
That answers the access question. It doesn't fully answer the income question. Having the legal right to use a city service and having the income to make use of it are different things, and the plan is considerably stronger on the first than the second.
There's also a quieter admission buried in the policy detail. Land supply is now meant to be linked to actual population flows. Cities gaining population get more land allocation, and cities losing population get less, or none. The Peterson Institute for International Economics, a credible source on this, notes that the government has effectively acknowledged there are two separate property markets in China.[R6] One is undersupplied, in top-tier cities with genuine housing affordability problems. The other is oversupplied, in lower-tier cities, some of which have become what's commonly called "ghost towns," built but never filled. That cuts against a simple story of Beijing building megacities and moving low-income households into them. What's actually happening is closer to Beijing trying to stop building in the places nobody wants to go, while concentrating what's left into a smaller number of winners.
This mechanism has a name outside China too, and a much longer history than the current policy suggests. Western planners call it "rightsizing" or "shrinking cities" planning, and it has been standard practice in the United States and Germany for over twenty years, adopted for the identical fiscal reason.[R32] Youngstown, Ohio, drafted its "Youngstown 2010" plan in 2002, explicitly to stop building and maintaining infrastructure for a population that had fallen from 170,000 in 1930 to a fraction of that (see FIG. 03). Detroit, Flint, Buffalo and Cleveland followed with similar plans. Germany ran a national program called Schrumpfende Städte, shrinking cities, doing the same thing across the former East Germany after reunification, when large numbers of people left for the west.
FIG. 03 — Youngstown, Ohio, whose population fell from around 170,000 in 1930 to a fraction of that, prompting the city's "Youngstown 2010" rightsizing plan in 2002, twenty years before China's own version of the same idea. Photo: Dblcut3, Wikimedia Commons, 6 August 2020, CC BY-SA 4.0.[R40]
The core idea, concentrating services and infrastructure spending where people actually live rather than where they used to live, is identical in mechanism to what China's land-supply-follows-population-flow policy is doing. Beijing is applying a fiscal-discipline idea Western cities adopted decades ago, under very different political systems, for the same underlying reason. No government can afford to maintain infrastructure indefinitely for people who have already left.
3.00 — THE PROPERTY CRISIS
A legal chapter closed in August. The economic one hasn't
The urban renewal spending comes on top of a property sector that is still working through the largest developer crisis in China's modern history. Real estate's share of China's GDP fell to about 19% in 2024, down from a peak of 24% in 2018, according to Bloomberg Economics estimates.[R7] This is China's version of what happened to Japan in 1991, a debt-fuelled property boom running into its own weight, though it arrived three decades later and with a much larger economy underneath it.
The headline event closed out this year. On 20 August 2026, a Shenzhen court sentenced Evergrande founder Hui Ka Yan to life imprisonment for financial crimes, and ordered the confiscation of his personal assets, following a guilty plea earlier in the year covering illegal fundraising, financial fraud, misuse of funds and bribery.[R8] A Guangzhou court has since accepted a bankruptcy liquidation case against Evergrande's mainland property development unit, which carried much of the group's roughly US$300 billion in total liabilities. Evergrande's own default in 2021 is the event that started the wider crisis, and its stock plunge dragged down other major developers including Country Garden and Kaisa (see FIG. 04).
FIG. 04 — Evergrande-developed residential towers, still branded with the company's name, of the kind built across dozens of Chinese cities during the boom years. Photo: Windmemories, Wikimedia Commons, 5 March 2021, CC BY-SA 4.0.[R41]
But the sentence closes a legal chapter, not an economic one. Property investment fell 19.2% in the first seven months of 2026, new construction starts dropped 24%, and sales of newly built commercial property fell 11.8% by floor area, according to Bloomberg reporting.[R9] Beijing has been easing its way out of the crisis rather than letting the market clear it on its own terms. In January 2026 it dropped the "three red lines" policy, the balance-sheet rules on developer borrowing that were originally what triggered Evergrande's collapse when they were introduced in 2020, and it's now leaning the other way, extending credit to help developers finish stalled projects.[R10]
The state is trying to do two things that pull in different directions at once. It's winding down oversupply built during the boom years, while building new capacity in the cities it wants to grow. Whether the same low-income households the urbanisation plan is meant to serve can actually move between those two categories of city, from the ones losing population and land allocation to the ones gaining both, is the practical question the policy documents don't fully resolve.
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4.00 — THE UNFINISHED CITIES
Nobody, including Beijing, agrees on how much was overbuilt
The oversupply mentioned above is physical. Rows of finished but empty apartment towers stand in one category, and apartments sold years ago and never finished at all stand in another.
Nobody, including China's own statistics apparatus, has an agreed number for how much of this exists. He Keng, the former deputy head of China's National Bureau of Statistics, said at a public event reported by Reuters that estimates of the country's vacant housing stock vary wildly between experts, with some of the more extreme estimates suggesting there's enough vacant housing for 3 billion people.[R11] His own, more conservative assessment was that "1.4 billion people probably can't fill them," meaning the entire population of China, if every person needed a separate home, still wouldn't use up what's already built. The fact that a former senior statistics official is comfortable saying the real number is unknown tells you something about how large and how uncertain this problem is.
One figure traces to a single, well-documented case. The Wall Street Journal has reported that of the roughly 1.2 million residential units Evergrande presold to buyers before construction was finished, about 800,000 remain unfinished.[R12] Those are homes people paid for, in some cases years ago, that still don't exist as habitable buildings (see FIG. 05).
FIG. 05 — Unfinished apartment buildings in Maoming, Guangdong, representative of the stalled construction found across China's oversupplied lower-tier cities. Not a specific Evergrande site. Photo: 中少, Wikimedia Commons, 27 July 2021, CC BY-SA 4.0.[R29]
Kenneth Rogoff, the Harvard economist, summed up the shape of it plainly on the Brookings Podcast in April 2026. China has "reached a classic overbuilding boom-bust," he said, and "it doesn't seem anywhere near the end."[R13]
The single most widely reported case is Ordos, in Inner Mongolia, where the Kangbashi New Area was built with capacity for around 300,000 people and, years after completion, still housed only a fraction of that (see FIG. 06).
FIG. 06 — The Ordos Museum in Kangbashi, Inner Mongolia, the single most widely reported example of a Chinese "ghost city," built for around 300,000 people with only a fraction of that number ever moving in. Photo: Popolon, Wikimedia Commons, 5 May 2015, CC BY-SA 4.0.[R43]
This connects directly back to the urbanisation and renewal story above. Every yuan sunk into an apartment tower that never sold, or a development that was never finished, is capital that can't be recovered and can't be redirected into the megaregions Beijing now wants to build instead. It also helps explain why developers are in the state they're in, and why the state has had to step in with credit support rather than let the market clear the way it normally would. A construction boom that overbuilt this badly doesn't just waste money, it leaves the companies that did the building under too much financial strain to be reliable partners in the next phase of the plan.
5.00 — TWO WAYS TO OWE MONEY
Japan's debt is enormous but known. China's is a range
China's debt is often compared to Japan's, and the comparison is worth making properly, because the two situations look similar on the surface and are actually different underneath. This is also where the precedent from section 1.00 earns its keep. Japan's debt survived three decades of near-zero growth without a crisis for a specific, checkable reason, not luck, and whether China has the same protection is the real question behind this comparison.
Japan carries the highest government debt load of any major economy, at roughly 204% of GDP by the IMF's 2026 estimate.[R14] That figure alone sounds alarming. What keeps it from being one is who holds it. Around 88% of Japan's government debt is held domestically, in yen, mostly by the Bank of Japan itself, which owns close to half of it outright, with most of the remainder held by Japanese banks and insurance companies. Foreign investors hold less than 10%. Japan's debt is recorded on a single, visible balance sheet, and the country that owes it and the institutions that hold it are, for the most part, the same country. That's the mechanism that let Japan wait out three decades of stagnation rather than default (see FIG. 07).
FIG. 07 — The Bank of Japan's head office in Tokyo, the institution that holds close to half of Japan's government debt outright. Photo: yt_siden, Wikimedia Commons, 29 August 2011, CC BY-SA 2.0.[R38]
China's debt is also mostly domestic and mostly denominated in its own currency, and that's significant, because it means China isn't exposed to the kind of crisis that hits countries which borrow heavily in foreign currency from foreign lenders, the pattern behind most emerging-market debt crises of the past forty years. On that specific point, China and Japan are more alike than different.
Where they diverge is transparency. Japan's number is one number, and it's public. China's isn't, and nobody outside Beijing knows the real figure with confidence. The IMF estimated in 2025 that China's explicit local government debt reached 39% of GDP, around US$8 trillion, with a further 51% of GDP, about US$10.4 trillion, held in local government financing vehicles, known as LGFVs, entities that local governments set up specifically to borrow money outside the limits Beijing officially places on them.[R15] Add those two figures together and local government-linked debt alone approaches 90% of China's GDP, before the central government's own borrowing is counted.
Other analysts, folding in a wider set of off-balance-sheet liabilities, put China's total public sector debt burden at 130% to 150% of GDP.[R16] S&P Global, assessing an earlier phase of the same problem, called China's hidden local debt "a debt iceberg with titanic credit risks."[R17] That range, a Fund estimate near 90% for local debt alone against outside analysts putting total public debt half again as high, is itself the point. Japan's debt is a single number. China's is a range.
The risk also isn't spread evenly the way Japan's is. Guizhou, one of China's poorer provinces, carried LGFV debt close to 75% of its own provincial GDP, well past the 60% threshold Beijing has set as a warning line.[R18] Inner Mongolia, Ningxia, Liaoning and Qinghai are in similar territory. Wealthier coastal provinces are in a completely different position. China doesn't have one debt problem, it has dozens of provincial-level debt problems of very different severity, stitched together under one national figure that obscures how serious the worst of them actually are (see FIG. 08).
FIG. 08 — A highway bridge under construction in Guizhou, the kind of large-scale infrastructure project financed through local government debt in one of China's most indebted provinces relative to its own GDP. Photo: Glabb, Wikimedia Commons, 21 August 2011, CC BY-SA 3.0.[R39]
Beijing knows this and is working on it. A 12 trillion yuan, around US$1.7 trillion, package rolled out in late 2024 is aimed at resolving officially recognised hidden local government debt by mid-2027, and it has already brought that specific category down.[R19] The harder problem is the roughly 14.8 trillion yuan of LGFV operational debt that remains, much of it in high-interest, non-standard loans that are proving harder to unwind than the debt Beijing has already dealt with.
Japan and China both largely owe themselves rather than foreign creditors. The real difference is that Japan's debt is enormous but known, recorded on one balance sheet everyone can see, while China's is opaque, fragmented across thousands of local vehicles, and concentrated unevenly in provinces already under the most strain from the property downturn and the slower urbanisation this piece has been describing (see TABLE 01). A debt problem you can see and price is a very different kind of risk to one where even the people managing it aren't fully sure of its size.
TABLE 01 — Japan and China's government debt compared
| Japan | China |
Headline government debt | ~204% of GDP (IMF, 2026 est.) | ~68% of GDP (2026 est.) to ~77% of GDP (IMF, 2022); two different sources at two different points in time, not one consistent measure |
Once local vehicles are included | Not applicable, one consolidated figure | Local debt plus LGFVs sum to approximately 90% of GDP, Samso's own addition of two separate IMF component figures (39% plus 51%, 2025); broader outside estimates run to 130 to 150% of GDP |
Domestic ownership | ~88% domestically held; Bank of Japan alone holds close to half | Mostly domestic and yuan-denominated, but the true scale is disputed |
Foreign ownership | Under 10% | Comparatively low, though harder to verify given data opacity |
Distribution of risk | Uniform, one national figure | Highly uneven; several provinces (Guizhou, Inner Mongolia, Ningxia, Liaoning, Qinghai) exceed Beijing's own 60% provincial risk threshold |
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6.00 — THE POPULATION THAT ISN'T COMING
The cities are growing. The country isn't
This is the part of the story that turns three separate headlines into one argument.
China's population peaked in 2022 and has fallen every year since.[R20] The country is projected to lose around 3.2 million people in 2026 alone, more than the entire population of the US state of Arkansas, with annual losses accelerating through the 2030s and 2040s under the United Nations' median projection. China's working-age population, defined as ages 16 to 59, fell from 61.3% of the total population in 2023 to 60.9% in 2024, a drop to about 858 million people.[R21] The share of the population aged 60 and over was 22% in 2024 and is projected by China's own National Bureau of Statistics to reach 34.9% by 2050.
FIG. 09 — China's population, actual and UN medium-variant projection, 2022 to 2100. The 2022, 2025 and 2050 points are as published by the UN Population Division, reported via Pew Research Center, RAND Corporation and worldpopulationclock.net [R21]. *The 2030 point (1.387 billion) is Samso's own calculation, subtracting a separately-published 2025-to-2030 decline estimate from the 2025 total, not a figure the UN published directly for that year. †The 2100 figure varies between published sources (roughly 630 to 640 million); this chart uses the midpoint.
The urbanisation story Japan, South Korea and Britain went through in the 20th century relied on the overall population still growing while cities grew (see FIG. 09). China's does not. It's urbanisation running directly against demographic headwind. The closer comparison is what happened inside Japan after 1990, where a handful of major metropolitan areas kept growing and absorbing what population remained, while huge stretches of smaller cities and rural regions hollowed out. China appears to be trying to engineer that outcome deliberately, through the megaregion strategy and the land-allocation link to population flow, rather than let it happen by accident the way it did in Japan.
7.00 — AI ARRIVES AT THE SAME MOMENT
Beijing is legislating against the risk it created
The third force is the one that connects most directly back to jobs, and it is well documented, not speculative.
China's National Bureau of Statistics reported youth unemployment, for people aged 16 to 24 excluding students, at 15.6% in May 2026, down from 16.9% in March, against a national headline rate of 5.1%.[R22] That's roughly three to four times the prime-age rate, and the gap holds up across every age bracket the NBS reports (see FIG. 10).
FIG. 10 — China unemployment by age bracket, May 2026. *Excluding students. Source: China National Bureau of Statistics, as reported by hellochinatech.com [R22].
The clearest single line on why AI is central to this picture comes from inside China's own policy establishment, not from an outside critic. Cai Fang, a prominent labour economist, wrote that "job destruction often precedes and outweighs job creation."[R23] He went on to argue that while technological progress ultimately creates new jobs, the speed and scale of AI penetration and automation could produce long-term employment shocks, and called for more investment in human capital and social welfare protection in response.
SAMSO TAKE Beijing is not pretending this risk doesn't exist. A Beijing court ruled last year that dismissing employees solely in order to replace them with AI is illegal, and courts in Hangzhou and Beijing have separately sided with laid-off tech workers in AI-related disputes.[R24] That's a government treating this as a live policy risk rather than a distant theoretical one (see FIG. 11). |
FIG. 11 — The Supreme People's Court in Beijing. Chinese courts have already ruled against employers dismissing staff specifically to replace them with AI. Photo: Pauloleong2002, Wikimedia Commons, 11 July 2023, CC BY-SA 4.0.[R44]
SAMSO TAKE Policy proposals under discussion include capping automation-driven layoffs at 30% of a workforce in any single role, and requiring companies to reinvest a share of their automation cost savings into worker retraining, modelled partly on similar measures already in place in Spain, South Korea and Japan. The position this puts Beijing in is worth stating plainly. The government wants China to lead in AI adoption for the same reason every major economy does, because it drives productivity and competitiveness. But rapid AI adoption in exactly the labour-intensive manufacturing, logistics and services sectors that employ hundreds of millions of people is also the most obvious way to make the youth unemployment problem worse, in the same cities the urbanisation plan is trying to fill. Is Beijing's own labour-protection legislation strong enough to hold that tension for another five years, or does the maths eventually force a choice between the AI race and the employment numbers? This isn't only a Chinese preoccupation. Dario Amodei, the co-founder and chief executive of Anthropic, one of the world's leading AI companies, has warned publicly that AI could eliminate as much as half of all entry-level white-collar jobs within one to five years, and has said the world could end up with fast GDP growth alongside high unemployment and rising inequality at the same time (see FIG. 12).[R30] |
FIG. 12 — Dario Amodei, co-founder and chief executive of Anthropic, meeting with then UK Prime Minister Rishi Sunak in May 2023. Photo: UK Prime Minister's Office, 10 Downing Street, 24 May 2023, CC BY 2.0.[R45]
SAMSO TAKE His own proposed responses cover similar ground to Beijing's rules from a different starting point, including a tax on AI-driven automation, progressive taxation of AI companies, universal basic income, and mandatory pre-release testing and auditing of AI models before they reach the public.[R31] When asked what happens if the disruption outruns the economy's ability to adapt, his answer was direct. "This is the outcome we wanna prevent." Congress has bipartisan efforts under way attempting to legislate some of the same guardrails already written into Chinese court rulings and workforce caps. Beijing and Washington are approaching the same problem from very different political systems, using very different tools, and arriving at a similar list of proposed fixes. |
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8.00 — WHAT THE FORECASTS ACTUALLY SAY
A managed slowdown, with the weak point named
It would be easy to stack these three trends up and reach for a dramatic conclusion. No credible forecaster is doing that, and it's worth being specific about what they're saying instead, because "collapse" and "managed slowdown with a named soft spot" are very different stories.
The IMF's 2025 Article IV review of China holds its 2026 growth forecast at 4.5%, describing a "deeper-than-expected" property sector contraction as the main domestic risk, and renewed trade tension as the main external one.[R25] It has called on Chinese policymakers to cut industry subsidies from around 4% of GDP to 2%, and to restructure the debt of local government financing vehicles, the off-balance-sheet entities local governments have historically used to fund infrastructure spending.
Other forecasters land in a similar range with varying degrees of scepticism about official figures. Finland's Bank of Finland Institute for Emerging Economies expects actual growth closer to 4% in 2026, slowing further to around 3.5% in 2027 and about 3% in 2028.[R26] UBS expects the drag on GDP growth from the property downturn to narrow from 1.5 to 2 percentage points in 2025 to 0.5 to 1 point in 2026, as the pace of decline in sales, construction starts and investment eases.[R27]
One route out of this bind is exports, and China has a genuine lead to sell into. Electric vehicles are the clearest case. Chinese brands dominate the global EV supply chain, and by 2026 Chinese-made electric cars had captured record shares of markets from Australia, where China overtook Japan as the largest source of new vehicles, to the United Kingdom, where a Chinese-linked brand became the country's best-selling new car in a single month (see FIG. 13).[R33]
FIG. 13 — A BYD e6, one of the Chinese-made electric vehicles now capturing record market shares from Australia to the United Kingdom, photographed in Hong Kong. Photo: User3204, Wikimedia Commons, 19 May 2024, CC BY-SA 4.0.[R42]
Two things narrow that route considerably. The first is tariffs. The United States imposes roughly 100% duties on Chinese-made electric vehicles, and the European Union runs a tiered anti-subsidy tariff running from 17.4% to 45.3% depending on the manufacturer.[R34] Chinese carmakers have adapted, localising production inside the EU, exporting plug-in hybrids and vehicle kits that avoid the tariff, and redirecting volume to markets without one, but the two largest, most lucrative consumer markets in the world remain substantially closed to the finished product that would generate the most value.
The second is domestic demand, and this is where the wealth gap matters directly. Household consumption made up only 38.8% of China's GDP in 2020, against more than 60% in the United States and the United Kingdom, and Beijing has only just elevated raising household income to a top-level national policy priority, folded into the 15th Five-Year Plan in March 2026, specifically because weak consumer spending is seen as a bottleneck to growth.[R35] China's Gini coefficient, a standard measure of income inequality where zero is perfect equality and 100 is total concentration in one household, exceeds the United Nations' own warning threshold of 40 on every published estimate, official or independent, though the exact figure is disputed. Official statistics put it at 46.5, other estimates put it above 57. Urban incomes run more than double rural incomes on average.[R35]
A country that has concentrated as much of its income gains as China has in its wealthier coastal cities cannot simply ask its regional population to spend its way to the growth that exports aren't fully delivering. The people any consumption-led recovery needs to spend more are disproportionately the people who have benefited least from the growth so far. That's a genuine constraint on trading out of the debt problem, not just a footnote to it.
SAMSO TAKE Here's where these separate weak points could compound rather than simply add up, and this isn't a Samso hypothesis, it's a documented finding with named researchers behind it. The Stockholm economist Per Krusell, working with Pedro Brinca, Hans Holter and Laurence Malafry, ran fiscal-policy models across a large set of countries and found a strong, direct correlation between wealth inequality and the size of a country's fiscal multiplier, how much extra growth a dollar of government stimulus or spending actually generates.[R36] Separately, the UC Berkeley economist Alan Auerbach, working with Yuriy Gorodnichenko and Daniel Murphy, built a model showing inequality has large negative effects on output partly because it dampens the very fiscal stimulus governments rely on to offset a downturn.[R49] The mechanism both teams point to is the same one. Wealthier households save a larger share of any income they receive, while poorer households would spend nearly all of it if they had it. Apply that to China's specific situation and the real risk is interaction between these weak points, not any single one of them failing in isolation. Urban renewal spending, debt resolution and any future stimulus all depend on that money eventually turning into household income and then into consumption, to generate the follow-on growth policymakers are counting on. If the wealth gap means a large share of the population that would need to do that spending doesn't have the income to do it, the same stimulus dollar does less work in China than it would in a more evenly distributed economy. Nobody has published a number for how much smaller China's multiplier actually is, and this is Samso's own inference from the pieces already on the table, not a forecast. But it's a real, worst-case mechanism worth naming plainly. The various holes in this piece, the debt nobody can fully see, the exports tariffs are blocking, the population that's shrinking, and the wealth gap limiting consumption, might not simply add up to a slower recovery. They could multiply into one. |
That's a managed deceleration, not a crash scenario, with the property sector named consistently as the identified weak point, not an unknown one. The population decline and the AI-jobs tension aren't yet showing up as separate line items in these growth forecasts. That absence says something. The forecasting community is currently treating this as a property and trade story, not yet as a demographic-and-automation story. Whether that changes over the next year or two is arguably the more interesting open question than any single growth number.
9.00 — WHERE THIS LEAVES THE READER
China gets a slower version of Japan's path, or a harder one
China is trying to build the urban capacity for a growing, consuming population using a policy playbook designed a decade ago, at the exact moment its population is shrinking and the jobs that would justify the move are increasingly exposed to automation. That is a genuine structural tension, documented in the government's own statistics and in the words of its own economists, not an outside critique imposed on the story.
On the evidence currently available, this is an economy attempting a difficult transition with fewer of the tailwinds it had the last time it tried something this size, not one heading for collapse. Whether it plays out closer to Japan's outcome, three lost decades followed by a real recovery, or something slower and harder given the extra weight of a fragmented, opaque debt structure and two pressures Japan never faced at once, is the open question this piece set out to frame rather than settle. Nobody, including the IMF, the Bank of Finland's own researchers, or China's former chief statistician, is claiming to know the answer with confidence, and that uncertainty is itself the thing worth taking seriously before anyone prices in either outcome.
SAMSO TAKE For an ASX investor, the practical version of this question isn't "will China collapse," which the evidence doesn't support, it's "how long does this take, and does China actually have a working route back." Japan's own answer took three decades, and it worked because Japan could simply wait, its debt was visible and contained, and the country never needed a specific growth engine to fire in order to recover. China's two obvious growth engines, exporting its way out through electric vehicles and spending its way out through domestic consumption, are both constrained in ways this piece has set out plainly, and the fiscal-multiplier risk covered above means those constraints could reinforce each other rather than stay separate. A Japan-style outcome is still possible, but it's a harder path to bet on without knowing which lever China actually pulls, or whether either one works as well as the plan assumes. Part 2 looks at where the capital tied up in this transition is actually flowing, and which ASX and TSX-listed resource and technology companies are closest to benefiting from it, tungsten, copper and tin producers on one side, and the small handful of AI companies with real, proven revenue on the other. If the property-led growth model really is giving way to an AI-led one, which side of that trade is actually positioned to benefit first? Iron ore deserves a place in that discussion too, and not for the reason that gets assumed first. The obvious hope for Australian producers is that the global push toward green steel, made using hydrogen-based direct reduction rather than a coal-fired blast furnace, becomes a catalyst for renewed interest in the sector (see FIG. 14). |
FIG. 14 — The BHP Yandi mine in the Pilbara, Western Australia, seen from the air. Standard Pilbara ore runs 56% to 62% iron, short of the roughly 67% grade direct reduction steelmaking needs. Photo: Calistemon, Wikimedia Commons, 30 June 2022, CC BY-SA 4.0.[R50]
SAMSO TAKE The problem is that direct reduction technology needs ore grading above roughly 67% iron, and standard Pilbara ore runs 56% to 62%, five to nine percentage points short.[R46] That's the opposite of a tailwind. Australian iron ore export revenue is forecast to fall from around A$116 billion to roughly A$97 billion by 2026 to 2027, and the grade gap against higher-grade rivals such as Guinea's Simandou project, at around 65% iron, and Brazilian ore is part of why.[R47] Fortescue is the one major Pilbara producer betting seriously on beneficiation and green hydrogen technology to close that gap, having committed to net-zero Scope 3 emissions by 2040, a target Rio Tinto and BHP have not matched.[R48] Whether that bet pays off before the grade problem costs Australia the higher end of the green steel market is a real open question for Part 2, not a settled one. |
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THE VOCABULARY, IN PLAIN ENGLISH Hukou China's household registration system. It historically tied a person's access to schooling, healthcare and welfare to wherever they were officially registered, not wherever they actually lived. LGFV (local government financing vehicle) An entity a local Chinese government sets up specifically to borrow money outside the official limits Beijing places on local government debt. Article IV review The IMF's regular annual health check of a member country's economy and policies. |
Every reference below carries an identifier, [R1] to [R27], matching the marker used at its first point of use in the body text above. Where a specific figure or quotation is checked, the identifier appears again at that point.
[R1] ArchDaily / Big Think, on the original 2013 250-million rural-to-urban urbanisation plan.
[R2] State Council Information Office (english.scio.gov.cn), on the 15th Five-Year Plan for Urban Regeneration, 2026 to 2030.
[R3] South China Morning Post, on the scale and scope of the urban renewal campaign's expected investment.
[R4] Bloomberg, on the 19-megaregion plan and Hong Kong's Northern Metropolis project.
[R5] South China Morning Post, on hukou reform under the current urbanisation action plan.
[R6] Peterson Institute for International Economics, on the two-tier land market and population-linked land supply.
[R7] Wikipedia (Chinese real estate crisis, 2020 to present), citing Bloomberg Economics, on real estate's share of China's GDP.
[R8] The Washington Times, on the Evergrande founder's sentencing, 20 August 2026.
[R9] International Investment, citing Bloomberg, on 2026 property investment, construction starts and sales figures.
[R10] Yahoo News / Ghost Cities reporting, on the "three red lines" policy reversal.
[R11] Fortune, citing Reuters, on He Keng's remarks as former deputy head of China's National Bureau of Statistics.
[R12] Yahoo News / Ghost Cities reporting, citing the Wall Street Journal, on Evergrande's unfinished presold units.
[R13] Yahoo News / Ghost Cities reporting, citing the Brookings Podcast, on Kenneth Rogoff's April 2026 remarks.
[R14] Wikipedia (National debt of Japan) and EBC Financial Group, citing the IMF and Japan's Ministry of Finance, on Japan's debt-to-GDP ratio and its domestic, Bank of Japan-heavy holder base.
[R15] US Congressional Research Service, citing IMF estimates, on China's explicit local government debt and LGFV debt as a share of GDP.
[R16] Fortune, on independent analyst estimates of China's total public sector debt burden.
[R17] S&P Global Ratings, via Reuters, on the earlier "debt iceberg" characterisation of China's hidden local government debt.
[R18] CKGSB Knowledge, on provincial-level LGFV debt concentration, including Guizhou, Inner Mongolia, Ningxia, Liaoning and Qinghai.
[R19] Caixin Global, on Beijing's 12 trillion yuan hidden local debt resolution package and the remaining LGFV operational debt.
[R20] Washington Post and Pew Research Center, citing UN Population Division data, on China's population peak and decline.
[R21] Pew Research Center, RAND Corporation, Washington Post and China Briefing, citing China's National Bureau of Statistics, on population and working-age population figures.
[R22] hellochinatech.com, citing China's National Bureau of Statistics' May 2026 release, on youth unemployment by age bracket.
[R23] chinatalk.media and allwork.space, on Cai Fang's published views and the wider labour policy debate.
[R24] Yahoo Finance / GuruFocus reporting, on court rulings against AI-driven dismissals.
[R25] IMF, 2025 Article IV Consultation for China, on the 2026 growth forecast and named risks.
[R26] Bank of Finland Institute for Emerging Economies (BOFIT), on the 2026 to 2028 growth outlook.
[R27] UBS, China Outlook 2026 to 2027, on the narrowing property drag estimate.
[R28] Sparktour, "Skyline of Shenzhen from Hong Kong," Wikimedia Commons, 29 August 2019, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
[R29] 中少, "Unfinished buildings in Maoming," Wikimedia Commons, 27 July 2021, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
[R30] "Inside the Mind of Anthropic CEO Dario Amodei," The Circuit, Bloomberg Originals, extended interview transcript, 2026, on Dario Amodei's stated estimate of AI-driven entry-level white-collar job losses and the "fast GDP growth, high unemployment" scenario.
[R31] "Inside Anthropic, the $965 Billion AI Juggernaut," The Circuit, Bloomberg Originals, interview transcript, 2026, on Dario Amodei's proposed policy responses, including automation taxation, progressive taxation of AI companies, universal basic income and mandatory pre-release testing and auditing.
[R32] Next City, "Geographers Studied Shrinking U.S. Cities for Two Years," on rightsizing plans in Youngstown, Detroit, Flint and Buffalo. ScienceDirect, "Shrinking cities, an unfit term for American urban policy," on the German Federal Cultural Foundation's Shrinking Cities Project and the Schrumpfende Städte program in the former East Germany.
[R33] GreenCars, "The EVs the Rest of the World Is Already Driving," on Chinese EV market share gains in Australia and the United Kingdom, 2026.
[R34] Transport & Environment analysis and the European Parliamentary Research Service, on EU anti-subsidy tariffs on Chinese-made electric vehicles. Rare Earth Exchanges, on the roughly 100% US Section 301 tariff on China-origin EVs.
[R35] Caixin Global, "China Targets Income Growth to Rebalance Its Economy," March 2026, on household consumption's share of GDP, the Urban and Rural Residents' Income Growth Plan, China's official Gini coefficient and the urban-rural income ratio. Statista and World Economics, on independent Gini coefficient estimates for China.
[R36] Pedro Brinca, Hans A. Holter, Per Krusell and Laurence Malafry, "Fiscal Multipliers in the 21st Century," Journal of Monetary Economics 77 (2016), on the strong correlation their cross-country models found between wealth inequality and the size of the fiscal multiplier.
[R37] CEIC, "Japan Urban Land Price Index: Biggest 6 Cities: Residential," citing the Japan Real Estate Institute, on the index level from 1955 to 2017. Housing Japan and Japan Property Research, on Japan's Ministry of Land, Infrastructure, Transport and Tourism official land price survey, released March 2026, reporting the fifth consecutive annual rise in nationwide land prices.
[R38] yt_siden, "Bank of Japan Head Office, Tokyo," Wikimedia Commons, 29 August 2011, CC BY-SA 2.0. Reproduced photograph, not an original Samso illustration.
[R39] Glabb, "Beipanjiang Highway Bridge, Guizhou, China," Wikimedia Commons, 21 August 2011, CC BY-SA 3.0. Reproduced photograph, not an original Samso illustration.
[R40] Dblcut3, "Youngstown skyline as seen from Wean Park," Wikimedia Commons, 6 August 2020, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
[R41] Windmemories, "Residential buildings developed by Evergrande in Pingyuan New Area, Yuanyang," Wikimedia Commons, 5 March 2021, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
[R42] User3204, "2021 BYD e6 (front), Tai Po, Hong Kong," Wikimedia Commons, 19 May 2024, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
[R43] Popolon, "Ordos Museum in Ordos City, Inner Mongolia," Wikimedia Commons, 5 May 2015, CC BY-SA 4.0, architects Ma Yansong, Yosuke Hayano and Dang Qun of MAD Architects. Reproduced photograph, not an original Samso illustration.
[R44] Pauloleong2002, "Supreme People's Court in Beijing," Wikimedia Commons, 11 July 2023, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
[R45] UK Prime Minister's Office, 10 Downing Street, "Dario Amodei in 2023," Wikimedia Commons, 24 May 2023, CC BY 2.0. Reproduced photograph, not an original Samso illustration.
[R46] IEEFA, "Australia faces growing green iron competition from overseas," and CSIRO, "Australia's green metals gambit," on direct reduction ore-grade requirements above 67% iron against standard Pilbara grades of 56% to 62%.
[R47] Discovery Alert, "BHP's Green Steel Shift: The Pilbara's Grade Challenge," on the forecast decline in Australian iron ore export revenue to 2026 to 2027 and the competitive position of Simandou and Brazilian ore.
[R48] IEEFA, "Opportunities and challenges for the Pilbara amid the accelerating steel technology transition," on Fortescue's HYFOR and smelter reduction technology partnerships and its 2040 net-zero Scope 3 commitment, compared with Rio Tinto and BHP.
[R49] Alan J. Auerbach, Yuriy Gorodnichenko and Daniel Murphy, "Inequality, Fiscal Policy and COVID19 Restrictions in a Demand-Determined Economy," European Economic Review 137 (2021), on inequality's negative effects on output and on the effectiveness of fiscal stimulus.
[R50] Calistemon, "BHP Yandi mine seen from the air, June 2022," Wikimedia Commons, 30 June 2022, CC BY-SA 4.0. Reproduced photograph, not an original Samso illustration.
Open item before this is considered final. The youth unemployment figures in circulation for 2026 range from 15.6% to as high as 18.9% depending on source. This piece uses 15.6%, traced directly to an NBS data release, and treats any higher figure as unverified.
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