Nvidia Loses Nearly RMB 4 Trillion in Market Value in Nine Trading Days as AI Stocks Face Fresh Sell-Off

The artificial intelligence investment boom is facing renewed scrutiny as technology stocks come under pressure. Nvidia has lost approximately $600 billion in market value, equivalent to about RMB 4 trillion, since reaching a recent high on October 6, according to reports published on October 17, 2026. The chipmaker’s maximum decline over the following nine trading sessions exceeded 12%.

At the close of trading on October 16, Nvidia shares fell 1.43%, leaving the company with a market capitalization of approximately $5.17 trillion. As a leading supplier of chips used in artificial intelligence computing, Nvidia has become a key indicator of investor confidence in the broader AI industry.

Semiconductor Stocks Extend Their Decline

U.S. technology shares have faced mounting selling pressure, with semiconductor companies experiencing particularly sharp declines. The Philadelphia Semiconductor Index fell more than 11% over the week, while Nvidia, Broadcom and several memory-chip manufacturers also suffered losses.

The sell-off reflects a combination of concerns rather than a single company-specific development. Investors are increasingly questioning whether spending on AI infrastructure can generate sufficient returns to justify its enormous cost. At the same time, persistent inflation and uncertainty over interest rates have encouraged markets to reassess valuations across high-growth technology stocks.

As expectations for the AI industry have risen, some investors have begun reducing their exposure to riskier assets. Even companies with strong technology and market positions can experience substantial share-price declines when investor expectations change.

AI Infrastructure Spending Faces a Return-on-Investment Test

The expansion of artificial intelligence has driven demand for graphics processing units, servers, high-speed networking equipment and data-center infrastructure. Nvidia has benefited significantly from this trend through its GPU products and software ecosystem, making it one of the major beneficiaries of the AI investment cycle.

However, industry growth does not guarantee that every investment will generate attractive returns. Building large data centers requires substantial capital, while operating them involves additional expenses for electricity, cooling, networking and equipment maintenance.

If revenue from AI services grows more slowly than infrastructure spending, companies could face pressure on cash flow and debt repayment. Recent concerns about financing risks among AI infrastructure providers suggest that investors are shifting their focus from growth expectations toward profitability, cash generation and investment payback periods.

For Nvidia, this shift means investors may pay closer attention not only to chip sales but also to whether its customers can sustain their spending on AI computing infrastructure.

Huang Remains Optimistic About AI’s Long-Term Prospects

Despite the market turbulence, Nvidia CEO Jensen Huang has maintained an optimistic outlook on artificial intelligence. According to media reports, Huang said the current market concerns would eventually pass, arguing that AI would have a transformative impact across industries and countries and that the technological transition remained in its early stages.

His comments reflect the broader argument among AI industry supporters that the technology still has considerable room to expand. Potential applications span enterprise software, cloud computing, industrial automation and other sectors.

Nevertheless, long-term technological potential and short-term stock performance are not the same thing. Even if demand for AI continues to grow, share prices can fall when previous expectations for growth, profit margins or investment returns prove too optimistic.

Investors therefore need to assess both the industry’s long-term direction and companies’ actual financial performance rather than relying solely on the promise of AI.

Market Capitalization Losses Do Not Equal Cash Losses

The reported decline in Nvidia’s market value requires an important distinction. Market capitalization is calculated by multiplying a company’s share price by its outstanding shares. When the share price falls, market capitalization declines, but that does not mean the company has directly lost an equivalent amount of cash from its balance sheet.

Key indicators for Nvidia in the coming months will include demand for data-center products, capital-spending plans among major customers, product delivery capacity, competition and profit margins. Interest rates, inflation and broader investor sentiment toward technology stocks will also influence its valuation.

Nvidia’s sharp decline illustrates a central risk in the AI investment boom: promising technology does not guarantee continuously rising share prices. As investors demand clearer evidence of commercial returns, the industry is entering a phase in which the ability to turn large investments into sustainable earnings may matter as much as the promise of future growth.