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Chinese Shares Have Shed $2.4 Trillion Since May as Doubts Grow Over Whether AI Spending Will Be Repaid

Mainland Chinese shares have lost about $2.4 trillion since May as investors question AI profitability, with US restrictions and high American interest rates adding pressure on risk assets.

Written By :MINRK
Chinese Shares Have Shed $2.4 Trillion Since May as Doubts Grow Over Whether AI Spending Will Be Repaid

Image by 钉钉 via Wikimedia Commons (CC BY-SA 4.0)

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1. How much has the China stock market lost?

Stocks listed on mainland China have lost about $2.4 trillion in market value since May, according to a report published on October 27, as investors lose confidence that the country's artificial intelligence boom will turn into profits. Market value is the combined worth of all listed shares, and the decline is larger than the entire annual economic output of South Korea.

The China stock market losses are concentrated in technology and chip companies, and are compounded by American trade restrictions and high US interest rates. Analysts also cite weak spending by Chinese consumers and growing doubt that AI firms can earn back the large sums they have invested.

The slide matters beyond China's borders. Risk assets around the world have been under pressure, with Brent crude trading above $111 a barrel and the yield on 10-year US Treasury notes near 5 percent. Bitcoin (BTC) briefly dropped below $80,000 ahead of the Federal Reserve's policy decision on October 28.

2. Why does an AI sell-off drag down the whole market?

Data from Goldman Sachs show that AI companies account for 42 percent of the market value of Chinese shares listed on the mainland and in Hong Kong, and for 57 percent of trading in them. With that much weight in both value and activity, a fall in AI stocks tends to pull the broader market down with it.

The concentration also means that sentiment about artificial intelligence has an outsized influence on indexes that are supposed to represent the economy as a whole. When investors reconsider the prospects of a handful of fast-growing technology businesses, the effect is felt across portfolios that hold mainland shares.

This dynamic mirrors patterns seen in other markets where a single theme dominates. A theme that lifts valuations quickly can also reverse them quickly once expectations are questioned, because many investors hold similar positions and tend to sell at the same time.

3. Which indexes have fallen the most?

The CSI 300, an index of China's 300 largest listed companies, entered a bear market on October 22. A bear market is conventionally defined as a decline of at least 20 percent from a prior peak, and the milestone indicates that losses are no longer confined to a few tech names.

The technology-heavy STAR 50, a Shanghai index of 50 large technology and chip companies, has fallen 40 percent in under four months. That drop erased about $480 billion in value. The index now trades at roughly 100 times earnings, compared with nearly 250 times at its peak.

A price-to-earnings ratio shows how many years of current profit an investor is paying for a share. A high ratio signals strong expectations for growth. For comparison, the Nasdaq 100 trades at around 30 times earnings, so even after the decline, the STAR 50 is priced far more richly than the American benchmark.

4. What set off the doubts about China's AI boom?

The enthusiasm had been fueled in part by breakthroughs from Chinese developers. In January 2025, the startup DeepSeek released a cheap and powerful chatbot, and Nvidia lost nearly $600 billion in market value in a single day. In July, Kimi K3, a model from the Chinese lab Moonshot AI, sent chip stocks lower again.

Policy has also played a part. Beijing has reportedly pushed its largest technology companies toward domestic chips, and the internet regulator was reported to have told firms including ByteDance and Alibaba to stop buying Nvidia processors in September 2025. The Beijing lab Z.ai says it trained its GLM-5.2 model entirely on Huawei chips.

Such efforts show how determined China is to build an independent AI supply chain. They also raise the question of whether the spending required will be repaid. Analysts point to weak consumer demand and doubts that AI firms can recover their investments as the main reasons confidence has faded.

5. Is the AI bubble bursting?

Some market participants think so. Dong Baozhen, a fund manager based in Beijing, said the market turned into a speculative frenzy and that the bubble is now bursting. In his words, "The stock market later evolved into a speculative crazy bull," adding, "And now we see the bubble bursting."

Evidence of the earlier excitement is easy to find. The robot maker Unitree drew retail orders for 8,000 times the number of shares on offer when it listed in August. Its stock has since lost almost half its value, though it recovered significantly this week.

A fund manager's view is one interpretation, and the same data can be read differently. The decline in valuations could mark a correction from extreme levels rather than a collapse in the underlying technology, and the STAR 50's price-to-earnings multiple remains well above that of its American counterpart.

6. How are US restrictions adding to the pressure?

Washington has been tightening rules on Chinese technology. In July, the US Federal Communications Commission banned imports of new foreign-made humanoid robots on national security grounds. The United States is also moving to ban Chinese-made optical components from American data centers.

The effect is visible in company shares. Zhongji Innolight and Eoptolink, two makers of optical parts, are each down about 60 percent from their peaks. For firms that depend on overseas customers, restrictions of this kind can cut off an important source of revenue and make future earnings harder to forecast.

High US interest rates add a second layer of pressure. When yields on safe government debt approach 5 percent, investors demand more compensation for holding riskier assets, and money can flow away from emerging markets toward dollar assets.

7. What does it mean for crypto and global markets?

The pressure on Chinese equities is part of a wider risk-off mood. Oil above $111 raises costs for businesses and consumers, and Treasury yields near 5 percent make cash and government bonds more attractive relative to speculative holdings. Bitcoin's brief dip under $80,000 shows that digital assets are sensitive to the same forces as stocks.

Traders are watching the Federal Reserve's decision on October 28 for signals about the path of interest rates. A more restrictive stance would reinforce the headwinds facing technology shares in China and elsewhere, while any hint of easing could relieve some of the strain.

For investors, the episode illustrates the risk of concentration. When one theme supplies most of a market's value and trading activity, the whole market can become a bet on that theme, and a loss of confidence can erase trillions of dollars within months.

8. How market value and valuation multiples work

Because the figures in this story are large, it helps to separate two ideas. Market value, or capitalization, is the share price multiplied by the number of shares outstanding. When the figure falls by $2.4 trillion, that is the combined loss on paper for everyone who holds mainland-listed shares, not cash that has left the system.

A valuation multiple such as the price-to-earnings ratio describes how the market prices those shares relative to profit. A multiple of 100 means investors are paying 100 times a company's yearly earnings, which only makes sense if profits are expected to grow very fast. When expectations are lowered, the multiple falls even if the business itself is unchanged, and that is one reason technology indexes can drop sharply in a short period.

The move in the STAR 50 from nearly 250 times earnings to roughly 100 times illustrates the effect. A decline of that scale reflects a change in what investors are willing to pay for the same earnings stream, and it shows how much optimism had been built into prices at the peak.

9. Why chips and optical components are so exposed

Chip designers and makers of data center components sit at the center of the AI build-out. Their sales depend on large customers continuing to spend heavily on computing capacity, and their share prices reflect the expectation that this spending will keep rising. Any sign that spending could slow, or that sales to key markets could be blocked, hits these companies first.

That helps explain why optical component makers such as Zhongji Innolight and Eoptolink have fallen about 60 percent from their highs after Washington moved toward banning Chinese-made parts from American data centers. For a supplier, losing access to a major customer region changes the revenue outlook directly.

The same logic applies to the broader group of AI-related companies in China. They face uncertainty about demand at home, about access to foreign markets and about the availability of advanced foreign chips, all while investors ask when the large investments already made will begin to produce returns.

10. What to watch next

The immediate event is the Federal Reserve's October 28 decision, which will shape global appetite for risk. Beyond that, investors will be looking for evidence that Chinese AI companies can convert heavy spending into earnings, and for any further US measures aimed at Chinese technology.

Whether the CSI 300 and the STAR 50 stabilize will depend on those developments, along with consumer demand in China and the direction of oil prices and Treasury yields. Until profits become clearer, the doubts that have cost the market $2.4 trillion are likely to remain a central influence on sentiment.

Readers following digital assets should note that the same macro forces, including oil prices, bond yields and central bank decisions, are shaping both stocks and cryptocurrencies. A sustained rebound in Chinese technology shares would suggest that appetite for risk is recovering, while further declines would point to continued caution across markets.

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