China’s AI Stocks Rebound After $480 Billion Rout. Is the Worst Over?

China’s battered technology stocks finally gave investors something to cheer. On October 28, Shanghai’s STAR50 index rose 2.45%, recovering some ground after a 4.8% slide the previous day. Strong earnings from South Korean chipmaker SK Hynix helped revive enthusiasm for AI-related shares across Asia.

The rebound followed a punishing decline. Reuters reported on October 26 that STAR50 had fallen about 40% from its July high, erasing roughly $480 billion in market value in less than four months. That estimate describes the earlier rout; it is not an updated loss tally following Wednesday’s recovery.

A share that falls 40% needs to rise almost 67% to recover its old price. For investors caught in China’s technology selloff, that arithmetic captures the distance between a welcome rally and getting their money back.

The recovery raises a familiar question: have investors found a bargain, or are the businesses still carrying expectations they will struggle to meet?

What changed on October 28?

China’s CSI300 and Shanghai Composite indexes both gained about 0.9%. Optical component suppliers Zhongji Innolight and Eoptolink rose more than 10% and 8%, respectively. Robotics company Unitree closed 9% higher ahead of its quarterly results.

The immediate encouragement came partly from outside China. SK Hynix reported a more than sevenfold increase in quarterly operating profit, beating expectations and improving sentiment towards the AI trade. Reuters also cited Julius Baer analyst Richard Tang’s assessment that state-backed funds had increased their purchases of mainland shares in recent sessions.

Those developments offer reasons for renewed buying. They do not establish how much profit each Chinese supplier will earn, or whether its current valuation is justified.

What does the $480-billion loss mean?

Market capitalisation measures the value of a company’s outstanding shares at the prevailing share price. When that price falls, its market value shrinks.

The headline, therefore, describes a decline in shareholder wealth. It does not mean companies collectively burned through $480 billion in cash. Investors who bought at different prices will have experienced different gains or losses.

The benchmark also needs explaining. STAR50 comprises 50 large, liquid securities on Shanghai’s Science and Technology Innovation Board. It is a broader technology benchmark, rather than a dedicated index of AI companies.

That distinction matters when assessing claims that China’s entire AI industry has crashed. Share prices measure investors’ expectations about businesses. They cannot, by themselves, establish whether a technology is succeeding.

Why did investors lose confidence?

Reuters found no single obvious trigger. Traders pointed to high valuations, tax bills and the threat of restrictions on Chinese equipment entering overseas data centres. The report also described retail investors who drew reassurance from state support for companies in the sector.

These pressures can reinforce each other.

An equipment supplier’s valuation may assume years of expanding overseas sales. A threat to market access makes those sales less certain. Investors then reconsider both the profits they expect and the premium they are willing to pay for them.

The adjustment can be severe even before a business reports a fall in earnings. Stock markets price the future. A company can keep growing while its shares decline if that growth falls short of what buyers had already paid to expect.

How can shares crash and still look expensive?

In its October 26 report, Reuters put STAR50’s valuation at around 100 times trailing earnings, down from a peak near 250. These are dated valuation estimates, rather than fresh readings following the rebound.

A price-to-earnings multiple expresses how much investors pay for each unit of reported profit. At 100 times earnings, they are paying 100 yuan for every yuan of annual earnings represented in the calculation.

That figure is not a literal repayment timetable. Earnings change, and investors value future growth. It does, however, show how much optimism a price can contain.

Consider a hypothetical company earning one yuan per share. At a share price of 200 yuan, it trades at 200 times earnings. If its price halves while earnings remain unchanged, the multiple falls to 100.

The shareholder has suffered a huge loss. The next buyer still needs to judge whether the remaining price is justified.

Index multiples also require care. Sector composition, loss-making companies and temporary earnings weakness can complicate comparisons. A high multiple prompts scrutiny; it cannot independently predict the next fall.

Why can government support fail to protect investors?

Governments can fund research, support manufacturing and encourage domestic adoption. Those measures can improve a company’s prospects.

Shareholders face an additional calculation: whether the eventual profits justify the price they paid.

A strategically important industry can attract competing suppliers. Customers may gain bargaining power as capacity expands. Lower prices can help adoption while squeezing manufacturers’ margins.

Investors therefore need evidence about pricing power, costs and customers. State support alone cannot answer those commercial questions.

Could falling shares hurt the industry itself?

A prolonged decline can make equity fundraising harder. Companies issuing shares at lower prices must surrender a larger ownership stake to raise the same amount of money.

Research, factories and product development still need financing. If investors become reluctant to provide it, businesses may have to delay spending or seek other funding. Reuters identified disrupted fundraising and listings as potential consequences of the rout.

That creates a possible feedback loop: weaker confidence depresses valuations, financing becomes more difficult, and growth plans face greater scrutiny.

What should Indian readers take from this?

For an Indian investor assessing an AI-linked business, the same questions apply. How much revenue comes from paying customers? Is growth producing cash? Can competitors force prices lower? How much future success is already reflected in the share price?

China’s selloff cannot establish where Indian stocks will move. It does illustrate why technological promise and shareholder returns require separate examination.

Is the worst over?

Wednesday’s recovery is encouraging, but a single session cannot establish a lasting turn.

China’s central bank has also announced plans for an emergency liquidity facility for non-bank financial institutions facing large redemptions. Such support can help institutions manage withdrawals and ease pressure to sell assets.

A durable recovery also needs investors to regain confidence in business returns. The useful indicators are earnings forecasts, dependable orders, margins, cash generation and clarity over export access.

SK Hynix’s results gave investors fresh evidence of demand in part of the AI supply chain. Chinese companies’ own results must now show how much of that demand reaches their revenues and profits.