Two of China‘s best-known hedge fund managers have told clients that the global rally in artificial-intelligence stocks has crossed from exuberance into what they are calling a “super bubble,” a warning that has already rattled semiconductor markets from Seoul to Santa Clara. Wealspring Asset, founded by Yang Dong — a manager credited in China with correctly calling the peak of the 2007 bull market — and Shanghai Banxia Investment Management Center issued the warnings in investor letters that quickly circulated beyond their client base.

The letters carry weight precisely because of who wrote them. Fund managers who navigated China’s own boom-and-bust cycles are now applying the same skepticism to a global AI trade that Western allocators have largely treated as a structural, multi-year growth story rather than a bubble in the classical sense.

The Case for a ‘Super Bubble’

Yang Dong‘s Ningquan Asset — the vehicle behind the most quoted warning — argued in its H1 2026 investment report that global AI stocks have formed a bubble condition with a collapse point that “may not be far away,” according to reporting from KuCoin’s news desk. The fund went further, projecting that a substantial share of the most popular AI-linked A-share stocks could fall by 80% or more once sentiment turns.

Wealspring, which manages more than $1.4 billion in assets, framed its skepticism around business fundamentals rather than pure valuation math. The firm argued that many of China’s AI infrastructure companies lack a durable competitive moat, run comparatively ordinary business models, and require continuous capital expenditure just to sustain current growth rates, according to Bloomberg’s original reporting carried by Yahoo Finance. The firm drew an explicit parallel to China’s 2015 equity bull run, describing current buying patterns in domestic AI infrastructure names as reminiscent of the “brainless buying” that preceded that crash.

Shanghai Banxia, a smaller fund managing roughly $294 million, took a different angle, pointing to a specific and testable trigger outside China’s borders: pressure on Anthropic‘s revenue growth trajectory. Banxia predicted that Anthropic’s annualized revenue run-rate — a metric closely tracked by AI bulls as a proxy for enterprise adoption — will fall short of market expectations as large technology companies push back against rising token costs and as competitors erode the company’s standing among software developers.

Market Reaction Has Already Arrived

The warnings did not stay confined to investor letters. Global chip stocks fell sharply in the days following the letters’ circulation, with the Nasdaq Composite dropping 2.2% on June 23 and South Korea‘s KOSPI sinking nearly 10% — a decline severe enough to trip a circuit breaker for the first time since March, according to analysis published by NAI 500. Micron Technology plunged more than 13% in the same window, and Nvidia slid as investors reassessed whether AI infrastructure capital expenditure could continue delivering earnings growth commensurate with its valuation.

The severity of the Asian sell-off reflects the region’s outsized exposure to the AI hardware supply chain. South Korea’s chip-heavy index had surged nearly 100% earlier in the year, powered by a rally in SK Hynix and Samsung Electronics, making it disproportionately vulnerable to a sentiment reversal. China’s own CSI Artificial Intelligence Index had climbed more than 35% year-to-date heading into the warnings, far outpacing the roughly 5% gain in the broader Chinese benchmark — a valuation gap the hedge funds argue is unsustainable.

At least four additional Chinese hedge funds expressed reluctance around AI exposure in a monthly summary of fund positioning compiled by CSC Financial Co., with only four funds registering a positive stance and seven declining to take one at all — evidence that the skepticism extends well beyond the two most-quoted names.

A Test of Who Is Early Versus Who Is Right

The central tension in the AI bubble debate is not whether artificial intelligence will reshape enterprise software and global productivity — most market participants, bullish and bearish alike, accept that premise. The dispute is whether current public equity valuations have already priced in an adoption curve, margin structure, and pricing power that has not yet been proven at scale. As framed by NAI 500’s analysis, the AI trade has moved from “look what this model can do” to “show us the business case” — a materially higher evidentiary bar for markets to clear.

Institutional voices remain split. The Bank of England warned in prior analysis that AI-linked equities had become a growing share of total US market capitalization, with some valuation metrics approaching dot-com-era extremes, while Morgan Stanley‘s 2026 outlook estimates that nearly $3 trillion in AI-related infrastructure investment could still flow through the global economy by 2028 — suggesting the capital expenditure cycle, whatever its near-term valuation risk, is far from complete.

Why the China Angle Matters Globally

What distinguishes this warning from generic bubble commentary is its origin. Yang Dong‘s track record calling the 2007 peak gives his current call outsized credibility inside China’s domestic investor base, while Banxia‘s Anthropic-specific thesis offers international investors a concrete, trackable metric rather than an abstract valuation argument. Because Anthropic remains a private company, the revenue data underpinning Banxia’s thesis is not independently auditable — a caveat that tempers, without eliminating, the weight of the warning.

For investors and strategists tracking Asia’s exposure to the AI capital cycle, the practical takeaway is that the region’s chip manufacturers, foundries, and AI infrastructure suppliers now carry two distinct risk vectors simultaneously: the conventional cyclical risk of semiconductor demand, and a newer, sentiment-driven risk tied directly to whether frontier AI developers can convert capital expenditure into durable revenue before investor patience runs out. The next disclosed revenue milestone from a major AI lab, whichever company reports it first, is likely to become the market’s de facto referendum on which side of this debate was correct.

China’s real estate sector, the single largest drag on the world’s second‑largest economy for over three years, is showing the first consistent signs of life. According to the National Bureau of Statistics, new‑home prices in the four tier‑1 cities—Beijing, Shanghai, Guangzhou, and Shenzhen—ticked up 0.2% month‑on‑month in May, the third consecutive monthly increase (National Bureau of Statistics of China, May 2026 Housing Data). While the uptick is modest, it represents a psychological turning point after prices fell for 24 of the previous 30 months. The catalyst: a government‑engineered “white‑list” model that channels credit exclusively to healthy, systemically important developers while allowing weaker players to exit.

The White‑List Project Funding Mechanism

In early 2025, the People’s Bank of China and the Ministry of Housing and Urban‑Rural Development jointly launched the “Real Estate Sector Normalization Facility,” commonly called the white‑list. The mechanism designates about 60 developers—both state‑owned and private—as eligible for new bank lending, bond issuance, and equity refinancing, provided they meet strict criteria: no default history, completion of at least 80% of presold units, and a commitment to “reasonable” pricing. As of May 2026, 1.4 trillion yuan ($195 billion) in new credit had been approved, with 900 billion yuan actually disbursed (PBoC Monetary Policy Implementation Report, Q1 2026). The funds are escrowed and released only against verified construction milestones, a safeguard that prevents the diversion of capital that plagued the Evergrande and Country Garden crises.

This targeted approach is a departure from the indiscriminate liquidity injections of 2023 and 2024. The government has allowed some 35 mid‑tier developers, burdened with unviable projects in third‑ and fourth‑tier cities, to enter bankruptcy restructuring. The message is clear: moral hazard is being contained, and the state will backstop only the core of the housing supply chain. The strategy echoes the US TARP program of 2008, but with Chinese characteristics—directed credit rather than equity injections.

Developer Bond Revival and Equity Rebound

The credit market has responded with surprising enthusiasm. Dollar‑denominated bonds of white‑listed developers have returned 18% year‑to‑date in 2026, making Chinese property high‑yield debt the top‑performing sector in emerging markets (J.P. Morgan EMBI Global China Property Index, June 2026). China Vanke, the bellwether state‑backed firm, saw its 2029 bond price rally from 60 cents on the dollar in January to 92 cents by June. The Shanghai Composite Real Estate Index has climbed 22% from its February lows, though it remains 55% below its 2020 peak.

Investor confidence is being slowly rebuilt by the white‑list’s transparency. Regular updates on fund disbursement, project completion rates, and sales data create a data‑driven narrative that contrasts with the opacity of the Evergrande era. Analysts at UBS now forecast that the sector’s contribution to GDP, which swung from a positive 1% to a negative 2.5% drag between 2021 and 2025, could be nearly neutral by Q4 2026 (UBS China Real Estate Outlook, June 2026).

Fragile Recovery: Tier‑City Divergence

Beneath the headline stabilization, a stark divergence persists. Tier‑1 and strong tier‑2 cities like Hangzhou and Nanjing are seeing inventory drawdowns, and some have even reinstated cooling measures to prevent a rapid rebound. In contrast, tier‑3 and tier‑4 cities, which account for 60% of national housing stock by area, remain oversupplied. Inventories in these cities stand at 28 months of sales, against a healthy benchmark of 12–14 months. The government has recently approved a 500‑billion‑yuan relending facility for local government‑owned platforms to purchase unsold completed apartments and convert them into affordable rental housing, a measure reminiscent of the Spanish “bad bank” (Sareb) model (State Council of China, Notice on Affordable Housing Facility, April 2026). This should gradually absorb excess stock, but the process will take years.

The consumer side remains hesitant. Despite the PBOC cutting the five‑year loan prime rate to 3.6%, household leverage is already elevated, and the “precautionary savings” motive is strong. A People’s Bank survey found that 63% of urban households consider now a “bad time” to buy a home, down from 72% in 2024 but still high. The culture of speculative property investment, which drove decades of growth, has been broken—perhaps permanently. The market is transitioning to one driven by genuine end‑user demand and demographic fundamentals.

The Macro Impact and Policy Outlook

A stable housing market removes the largest downside risk to China’s 2026 GDP growth target of “around 5%.” Construction‑related industries, from steel to appliances, are seeing restocking demand. The financial system’s exposure to real estate, estimated at 40% of bank collateral, becomes less perilous if prices cease falling and transaction volumes recover. The PBOC, now more comfortable with the property outlook, can focus on managing the exchange rate and domestic liquidity without being forced into ad‑hoc bailouts.

Going forward, the test will be whether the white‑list model can catalyze a self‑sustaining recovery. Key indicators to monitor are floor space sold (recovering slowly), new starts (still contracting), and the time taken to complete presold homes (improving). The government’s commitment to “housing is for living, not speculation” remains unchanged, but the policy toolkit has evolved from crackdown to calibrated support. If the tier‑1 price stabilization spreads to second‑tier cities in the autumn, China’s housing market turnaround will be confirmed, providing a significant tailwind to global commodity demand and emerging market sentiment.

China’s semiconductor exports surged 87% in May 2026 even as retail sales stagnated and property investment fell 16%. Inside the structural divergence threatening Beijing’s growth model.A single statistic from China’s May 2026 industrial output report captures the country’s economic condition better than any official growth headline: semiconductor production surged 87% year-on-year, even as retail sales remained muted and property investment fell at its steepest rate since the pandemic. The gap between China’s industrial machine and its domestic consumption economy has never been wider. And unlike earlier cycles, there is no obvious policy lever that closes it quickly.

China officially reported 5.0% GDP growth in Q1 2026, but the US-China Economic and Security Review Commission and independent economists identified three reasons for scepticism: ongoing downward revisions to prior-year numbers, a statistical rebound effect, and the absence of genuine domestic demand recovery. The government’s own fiscal deficit target of 4% of GDP — the highest since 1991 and set in the 15th Five-Year Plan passed at the March “Two Sessions” — implies that official growth is being propped by state investment rather than organic household consumption.

The Export Machine: Strength Built on Structural Weakness

China’s trade surplus in 2025 crossed $1.2 trillion — a record — and the export surge has continued in 2026. In May, exports denominated in US dollars rose 19.6% year-on-year, the second-largest increase since early 2022. Semiconductor exports rose 110%. Mobile phone exports rose 44%. Auto parts and computing hardware rose 66%.

The IMF estimated in early 2026 that the renminbi was undervalued by 16%, and pressed Beijing to allow revaluation to reduce the trade imbalance. China demurred, pledging only that the currency would remain “generally stable.” Meanwhile, China’s passenger car exports rose 60.6% year-on-year in Q1 — many of them cheaper models subsidised into foreign markets after Beijing’s “anti-involution” policy created domestic oversupply. Developing markets bore the brunt: the US-China Economic and Security Review Commission documented a 14% surge in “China Shock 2.0” export pressure on emerging economies.

But the export machine’s strength is inseparable from the domestic market’s weakness. When local demand softens, manufacturers redirect capacity toward international markets. The result is not a virtuous cycle of industrial upgrading; it is a pressure valve that delays, but does not resolve, the underlying consumption deficit.

The Consumption Deficit: Property, Wealth, and Japanification

Roughly two-thirds of Chinese household wealth is held in the form of property. The ongoing correction in that market is therefore not merely a sectoral issue — it is a household balance sheet crisis that suppresses the propensity to consume across the entire economy. Fixed-asset investment fell 4.1% in the first five months of 2026 year-on-year — the steepest decline since May 2020. Property investment dropped 16.2%. Government stimulation efforts — trade-in subsidies for EVs and appliances, value-added tax rebates — have produced modest and temporary retail bounces without addressing the underlying confidence deficit.

Mao Zhenhua, a professor at the University of Hong Kong, put it plainly: “Apart from high-tech and export sectors, the Chinese economy is very cold.” The producer price index has fallen for 41 consecutive months since October 2022 — a textbook sign of deflationary overcapacity. Some economists describe this as “Japanification”: prolonged deflation, declining investment returns, and a debt overhang — except that China’s greater dependence on real estate, local government financing vehicles, and exports makes the structural comparison more severe than Japan’s experience from the 1990s.

The Semiconductor Bet: Strategic Necessity and Competitive Exposure

Beijing’s response to the consumption deficit is to accelerate investment in industries deemed strategically vital: semiconductors, AI, electric vehicles, batteries, and green energy. The 15th Five-Year Plan explicitly frames this as building “New Quality Production Forces” — a move away from cheap manufactured goods toward technological self-sufficiency.

Progress is real but uneven. SMIC and Hua Hong are advancing at mature-node chip production, used in vehicles and industrial equipment. Equipment vendors Naura and AMEC are gaining global market share in manufacturing tools. Tungsten — a chipmaking input China controls at 79% of global mine production — has seen export controls imposed, pushing tungsten prices up 557% in just over a year.

Yet China imported a record $135 billion in semiconductors in a single quarter, driven by surging AI investment. Dependency on advanced foreign chips — particularly Nvidia’s H200 GPUs — remains acute. The path to true semiconductor self-sufficiency runs through advanced lithography technology that China has not yet replicated, and through memory chip manufacturing where domestic producer CXMT is still racing to achieve viable high-bandwidth memory yields.

The Rebalancing Trap

The structural paradox Beijing faces is that the industries it is investing in to generate new growth — semiconductors, AI, renewable energy — are highly capital-intensive and relatively employment-light. They generate industrial output and export revenue. They do not, by themselves, create the mass consumer purchasing power needed to rebalance toward domestic demand. As the Asia Society Policy Institute has documented, China’s capital-intensive industrial push could widen income inequality even as it advances national technological capacity, leaving the rural and lower-income population increasingly detached from the growth being generated.

Until Chinese households recover confidence in property as a store of value, until youth unemployment — officially 17% but widely estimated closer to 40% by independent economists — materially declines, and until local government debt overhangs are resolved, the consumer-led rebalancing that global markets have been anticipating for a decade will remain deferred.

The world’s second-largest economy, in 2026, is a machine that produces extraordinary technology and exports it to a world not fully ready to absorb the volume — while the domestic audience watches from the sidelines.