China’s AI stocks have lost nearly $480 billion in market value as investors question whether the technology can deliver on its enormous promises. The crash is raising fresh concerns about Nvidia, OpenAI and the sustainability of the global AI boom.
China’s artificial intelligence boom has suffered a dramatic reversal, wiping out approximately $480 billion in stock market value in less than four months and raising an uncomfortable question for Silicon Valley: Could the same thing happen to America’s AI giants?
China’s STAR50 index, which includes major semiconductor and technology companies, has fallen roughly 40% from its recent peak. Some of the country’s most closely watched AI and robotics companies have lost half their market value, while the broader Chinese stock market has entered bear-market territory.
According to an October 26 Reuters investigation, the selloff reflects growing concerns about inflated valuations, uncertain AI demand, international trade restrictions and whether companies can generate enough profit to justify their enormous investments.
The downturn comes as American technology companies continue pouring billions of dollars into data centers, advanced chips and increasingly capable AI models.
For Nvidia, which supplies much of the computing hardware used to develop AI systems, China’s market turmoil raises questions about future demand and the sustainability of infrastructure spending.
For OpenAI, the company behind ChatGPT, the implications are different. A decline in investor confidence could make funding more expensive and increase pressure to turn AI adoption into sustainable revenue.
Neither Nvidia nor OpenAI faces an immediate collapse because of China’s selloff. But the correction provides an early warning about what can happen when expectations for AI growth move faster than the financial results supporting them.
China’s AI Stocks Have Lost $480 Billion in Four Months
China’s technology sector has experienced one of its sharpest market reversals in recent years.
The STAR50 index, which tracks 50 companies listed on Shanghai’s technology-focused STAR Market, has declined approximately 40% in less than four months.
The downturn has erased an estimated $480 billion in market value.
China’s broader CSI300 index has also fallen roughly 20% from its June high, reflecting weakness beyond the technology sector.
The selloff has been particularly severe among companies associated with AI chips, robotics and data center infrastructure.
| Company | Business | Reported stock decline |
|---|---|---|
| Unitree Robotics | Humanoid robots | Approximately 50% since August |
| CXMT | Memory chips | More than 25% in one month |
| MetaX Integrated Circuits | AI processors | Approximately 50% since July |
| Moore Threads | Graphics processors | Approximately 50% since July |
| Zhongji Innolight | Optical networking components | Approximately 60% from its high |
| Eoptolink Technology | Optical networking components | Approximately 60% from its high |
Source: Reuters, October 26, 2026. Declines refer to different starting dates and are not directly comparable.
The losses are especially striking because many of these companies had previously attracted extraordinary investor enthusiasm.
MetaX and Moore Threads surged approximately 700% and 400%, respectively, during their stock market debuts in 2025.
Unitree’s public offering attracted retail orders roughly 8,000 times the shares available, illustrating the intensity of demand for companies associated with China’s robotics ambitions.
That enthusiasm has now reversed.
Reuters reported that AI-related stocks accounted for approximately 42% of the combined market capitalization and 57% of trading turnover across mainland Chinese A-shares and Hong Kong H-shares, citing Goldman Sachs research.
The concentration meant that falling technology stocks affected a substantial portion of the market.
China’s downturn also contrasts with the more limited correction in the United States.
At the time of Reuters’ report, the Nasdaq had declined approximately 6% from a record high reached three weeks earlier.
The comparison suggests that Chinese investors have been quicker to reassess the prices they are willing to pay for AI-related growth.
However, the selloff does not establish that the underlying technology has failed.
Stock prices reflect expectations about future profits. Those expectations can change sharply even when companies continue developing useful products.
Why China’s AI Bubble Is Bursting
There is no single event responsible for China’s AI market decline.
Instead, several financial and economic pressures have combined to undermine investor confidence.
1. AI companies became too expensive
Investors spent much of the previous two years buying shares in businesses associated with AI development. That demand pushed valuations far above levels supported by current earnings.
Even after its 40% decline, China’s STAR50 index was trading at approximately 100 times trailing earnings, according to Reuters.
That compares with roughly 30 times earnings for the Nasdaq 100 at the time of the report. The STAR50’s valuation had previously approached 250 times earnings.
Such high multiples indicate that investors were paying substantial premiums for expected future growth. When confidence weakened, those valuations became difficult to defend.
2. Investors are questioning real AI demand
Developing advanced AI requires enormous investment in processors, networking equipment, electricity and data centers.
But spending on infrastructure does not automatically translate into profitable businesses.
Investors are increasingly asking whether demand for AI services will grow quickly enough to support the companies supplying that infrastructure.
A slowdown in orders could affect chipmakers, networking suppliers and data center equipment manufacturers.
The concern is particularly significant for companies whose valuations assume years of rapid expansion.
3. U.S. restrictions threaten Chinese technology companies
Trade restrictions have added another layer of uncertainty. Washington has limited China’s access to advanced American AI chips, while additional restrictions could affect Chinese companies supplying equipment to overseas data centers.
Reuters reported that concerns about possible U.S. restrictions contributed to steep declines in Zhongji Innolight and Eoptolink, two suppliers of optical networking components.
Those companies are important because modern AI data centers require high-speed connections between processors.
If Chinese suppliers lose access to major international customers, their revenue expectations could weaken.
4. China’s broader economy is adding pressure
The technology selloff is occurring alongside wider concerns about China’s economy. Weak domestic demand, uncertainty about economic stimulus and pressure on corporate profits have made investors more cautious.
The decline in AI shares has therefore become part of a broader market correction rather than an isolated problem affecting technology companies.
Reuters reported on October 23 that China’s CSI300 had entered a bear market after falling more than 20% from its June closing peak. Business Recorder
The result is a difficult environment for companies seeking new investment. Even businesses with promising technology may struggle to raise capital if investors become less willing to fund ambitious growth plans.
What Does China’s AI Crash Mean for Nvidia?
Nvidia faces two separate risks from China’s technology downturn: weaker demand for AI infrastructure and growing competition from domestic Chinese chipmakers.
The company has benefited enormously from the global expansion of AI computing. Its processors are used to train and operate advanced models, including systems developed by OpenAI and other major technology companies.
But China’s market is becoming more difficult for Nvidia. According to Reuters’ October 13 report on China’s AI chip market, Nvidia’s share of Chinese data center AI accelerator shipments fell to 34% in the first half of 2026, down from a year earlier.
The company shipped approximately 678,000 AI accelerators during the period, a 44% year-over-year decline. Meanwhile, Huawei increased its shipments to approximately 572,000 accelerators, securing a 28% market share.
The figures suggest that Chinese technology companies are becoming more capable of supplying their domestic market. U.S. export restrictions have also limited Nvidia’s ability to sell its most advanced processors in China. That creates a complicated situation.
If Chinese AI infrastructure investment slows, demand for processors could weaken. But even if spending remains strong, Nvidia may capture a smaller share because of trade restrictions and domestic competition. The broader global risk is different.
Nvidia’s business depends heavily on technology companies continuing to invest in AI computing. If China’s correction causes investors elsewhere to question the returns on data center spending, American technology companies could face greater pressure to control their infrastructure budgets.
That could eventually affect Nvidia’s growth. However, there is no verified evidence that China’s October selloff has directly caused a major reduction in Nvidia’s global chip orders.
The distinction matters because Nvidia’s customers operate across multiple markets, and demand outside China could offset some regional weakness. The immediate evidence also points against assuming a worldwide collapse.
On October 26, Nvidia helped lead gains in American technology stocks, according to Associated Press reporting on global markets. Investors are clearly becoming more cautious about AI valuations, but they have not abandoned the technology altogether.
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What Happens to ChatGPT and OpenAI if the AI Bubble Bursts?
China’s stock market decline does not directly threaten ChatGPT’s operation. ChatGPT is developed by OpenAI, a U.S.-based company whose products and funding arrangements are separate from the Chinese companies experiencing the selloff.
There is no evidence that the decline in China’s STAR50 index has caused ChatGPT outages, reduced its capabilities or forced OpenAI to change its subscription prices. The more important question concerns the economics of developing increasingly advanced AI models.
Training frontier models requires enormous computing resources. Operating those models for millions of users also creates substantial ongoing costs.
OpenAI must generate enough revenue and secure enough financing to support those expenses. A broader loss of confidence in AI investments could make that task more difficult.
Investors might demand stronger evidence of profitability before providing additional capital. Data center financing could become more expensive, and AI companies might face pressure to reduce spending.
That could affect the pace of model development and the economics of services such as ChatGPT.
But the consequences would depend on how far the correction spreads. A selloff confined largely to Chinese technology stocks would have a much smaller impact than a global withdrawal of investment from AI infrastructure.
Researchers at Chatham House have warned that a broader AI market correction could force developers to reconsider expensive business models and focus more closely on financial sustainability.
Such a shift could lead to changes in product pricing, investment priorities and competition. It could also benefit companies that develop efficient models requiring less computing power.
For ChatGPT users, however, none of those outcomes is inevitable.
The current evidence supports concerns about future funding and profitability, not claims that ChatGPT is about to disappear or become significantly more expensive.
ALSO READ: AI Company Burn Rate Statistics 2025-2026
China’s Cheaper AI Models Could Put More Pressure on OpenAI
There is another reason China’s AI downturn matters to American companies.
Chinese developers have increasingly competed by releasing capable AI models at lower costs.
That strategy challenges the assumption that building the most competitive AI systems always requires the largest possible infrastructure budgets.
In a November 2025 analysis, Chatham House argued that the growing popularity of lower-cost Chinese models could increase pressure on American developers whose businesses depend on expensive proprietary systems.
A stock market crash does not necessarily eliminate that competition.
Chinese developers may respond to tighter financing conditions by reducing prices, improving efficiency or concentrating resources on their strongest products.
That could create an unusual outcome: China’s AI investors lose money while some Chinese AI technologies become more competitive.
For OpenAI, Anthropic and other American developers, the threat would come from customers choosing cheaper alternatives rather than from the Chinese stock market decline itself.
Businesses evaluating AI systems typically consider performance, reliability, security and cost.
If lower-cost models can satisfy their requirements, companies may have less reason to pay premium prices for competing services.
However, there is no guarantee that falling valuations will produce better or cheaper Chinese models. Reduced access to capital could also delay research and product development.
Both outcomes remain possible.
Could America’s AI Bubble Burst Next?
China’s market correction is raising a question that investors have been debating for months: Are American AI companies also valued too highly?
The comparison is difficult to ignore. China’s STAR50 has fallen approximately 40%, while the Nasdaq was down roughly 6% from its recent record when Reuters published its October 26 report.
The gap does not mean American technology stocks are immune to a similar correction. It does show that investors in the two markets have responded differently to concerns about AI valuations.
American technology companies continue to invest heavily in data centers, processors and new AI products. The financial justification for those investments depends on future demand and revenue growth.
If companies spend more on infrastructure than their AI businesses can eventually support, investors may reassess their valuations. The same concerns contributed to China’s selloff.
However, there are important differences between the markets. Large American technology companies such as Microsoft, Alphabet and Meta have established businesses that generate substantial revenue outside their newer AI products.
Many smaller AI companies depend more heavily on external financing. That distinction could determine which businesses are most vulnerable if investment conditions deteriorate.
The Bank of England’s concerns about a potential AI market correction, discussed by Chatham House, illustrate why financial institutions are paying attention to the industry’s growing valuations and spending commitments.
A market correction would not necessarily mean that AI technology had failed.
The internet continued growing after the dot-com crash of 2000, even though many companies that attracted investment during the boom disappeared.
AI could follow a similar pattern, with useful technologies surviving while weaker business models struggle.
But historical comparisons cannot predict when a correction will occur or how severe it might become.
China’s AI Crash Could Change Where Investors Put Their Money
One immediate consequence of China’s selloff is that investors are becoming more selective. During the AI boom, companies supplying processors, networking equipment and robotics technology attracted enormous attention.
Their share prices often reflected expectations of rapid growth over many years. The correction has forced investors to reconsider those assumptions. Reuters reported that the downturn could make it harder for Chinese technology companies to raise money through public listings.
Some investors are shifting toward defensive assets, while others are looking for opportunities among companies whose valuations have fallen. Not everyone believes the decline signals a lasting crisis.
Goldman Sachs included several Chinese AI-related companies on a revised recommendation list in October, while strategists at BNP Paribas identified selective buying opportunities.
That suggests the market is reassessing individual companies rather than rejecting every business associated with artificial intelligence. Reuters
The distinction could become increasingly important. Companies that demonstrate sustainable revenue, competitive products and manageable costs may continue attracting investment.
Those relying primarily on expectations of future AI demand could face greater difficulty. The same principle applies to American companies.
For Nvidia, investors will watch whether customers continue purchasing advanced processors at the expected pace.
For OpenAI, attention will focus on revenue growth, operating costs and its ability to finance future computing requirements.
For Chinese chipmakers and robotics companies, the challenge is proving that their businesses can justify their valuations after the recent decline.
The AI Boom Is Facing a Reality Check
China’s AI stock market crash has exposed the financial risks behind one of the world’s largest technology investment booms. The STAR50’s 40% decline and the destruction of approximately $480 billion in market value show how quickly enthusiasm can reverse when investors question future growth.
But the downturn should not be confused with the collapse of artificial intelligence itself. Chinese companies are still developing AI processors, robotics systems and language models. American technology companies continue building data centers and releasing new products.
The technology is advancing even as investors reassess what those advances are worth. For Nvidia, the key risk is that weaker infrastructure spending and growing Chinese competition could eventually affect chip demand.
For OpenAI, the challenge is demonstrating that services such as ChatGPT can support the enormous costs of developing and operating advanced AI systems.
Neither company’s future can be determined by a single Chinese stock market correction. The bigger question is whether the global AI industry can generate enough revenue to support the extraordinary investment flowing into it.
China’s investors have already delivered one warning. The AI race is no longer just about who can build the most powerful technology. It is increasingly about who can turn that technology into a sustainable business.
