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Markets & Finance7 Nov 2026 · about 6 min

AI stocks bounce back after $2.5 trillion wipeout, but questions remain

The brief

AI-linked stocks and major indexes moved sharply in opposite directions across regions. US technology shares recovered modestly Friday, but the Nasdaq still suffered its worst day since April 2025 on Thursday. The global moves mattered because AI companies and chipmakers are closely connected through investment and supply chains. Nvidia rose 2.8 percent and SpaceX gained 8.6 percent Friday after both plunged about 9 percent the previous day. South Korea’s Kospi and Japan’s Nikkei 225 each fell 6 percent, while Taiwan’s Taiex dropped 4.5 percent. Europe’s Stoxx 600 fell 1 percent. The S&P 500 rose 0.3 percent Friday, but ended the week down 2.7 percent. The Nasdaq gained 1.1 percent, while the Dow fell about 0.5 percent. The sharp regional differences show how heavily technology-focused markets respond when investors question AI spending, policy, and future profits.

01

What happened to AI-related stocks and major stock indexes in the United States, Asia, and Europe?

AI-linked stocks and major indexes moved sharply in opposite directions across regions. US technology shares recovered modestly Friday, but the Nasdaq still suffered its worst day since April 2025 on Thursday. The global moves mattered because AI companies and chipmakers are closely connected through investment and supply chains.

Nvidia rose 2.8 percent and SpaceX gained 8.6 percent Friday after both plunged about 9 percent the previous day. South Korea’s Kospi and Japan’s Nikkei 225 each fell 6 percent, while Taiwan’s Taiex dropped 4.5 percent. Europe’s Stoxx 600 fell 1 percent.

The S&P 500 rose 0.3 percent Friday, but ended the week down 2.7 percent. The Nasdaq gained 1.1 percent, while the Dow fell about 0.5 percent. The sharp regional differences show how heavily technology-focused markets respond when investors question AI spending, policy, and future profits.

02

How large were the losses, and which markets or companies were hit hardest?

The losses were enormous in aggregate but unevenly distributed. Roughly $2.5 trillion in stock-market value disappeared from Wall Street during the AI-driven sell-off. The S&P 500 still finished the week down 2.7 percent, despite a Friday recovery. The Nasdaq’s 5.5 percent Thursday drop was its worst day since April 2025.

The hardest-hit markets were in Asia. South Korea’s Kospi and Japan’s Nikkei 225 each closed 6 percent lower, and Taiwan’s Taiex fell 4.5 percent. Individual AI-linked companies also suffered heavily. Nvidia and SpaceX both fell about 9 percent Thursday. ASML dropped 6.6 percent that day.

These figures show investors retreating from some of the year’s hottest trades. Asian markets are especially sensitive because major technology companies support the global electronics supply chain. Their results and valuations are closely tied to expectations for semiconductor demand and AI data-center construction.

03

What does it mean for roughly $2.5 trillion in stock-market value to be “wiped out”?

A company’s market value is generally calculated by multiplying its share price by the number of shares available. When prices fall, the combined value of those shares falls too. The article’s $2.5 trillion figure therefore describes a decline in the quoted value of stocks across Wall Street, not necessarily money withdrawn from businesses.

For example, if a company has one billion shares and its price drops by $10, its market value falls by about $10 billion. No single investor must have sold that entire amount. A smaller number of trades can reset the price used to value all outstanding shares.

The decline reflected investors reassessing AI-related expectations and policy risks. Prices later recovered somewhat, but the S&P 500 still ended the week down 2.7 percent. Market value can therefore shrink quickly during fear and rise again when confidence returns.

04

Why did some AI stocks rebound after falling sharply the previous day?

Stocks can rebound after a sharp sell-off when some investors decide prices have fallen too far. The article describes this as buying at discounted prices. That buying can lift share prices even when broader concerns about the sector remain unresolved.

Nvidia and SpaceX demonstrate the mechanism clearly. Both companies fell roughly 9 percent Thursday, but Nvidia rose 2.8 percent and SpaceX gained 8.6 percent Friday. The Nasdaq and S&P 500 also recovered modestly, rising 1.1 percent and 0.3 percent. These moves followed a severe decline rather than erasing it.

The rebound was limited and did not restore confidence fully. The S&P 500 still lost about 2.7 percent for the week, and Asian markets fell sharply Friday. Investors were still weighing whether AI investment can remain profitable and whether election-related policy changes could slow new infrastructure spending.

05

How could the results of US midterm elections affect investment in AI infrastructure and data centers?

The election results created a policy risk for the AI investment boom. Democrats won control of both chambers of Congress and flipped several contested state seats. Investors feared Democratic representatives could respond to concerns about data centers’ environmental and community effects by delaying or restricting new projects.

The concern focuses on infrastructure such as massive AI data centers and the spending needed to build them. The article cites a Columbia Business School study estimating that AI-related infrastructure investment drove nearly all observed US GDP growth by the end of last year. If projects slow, demand for related equipment and chips could also weaken.

The market reaction was immediate. The Nasdaq fell 5.5 percent Thursday, its worst day since April 2025. The article does not say that new restrictions have been enacted. It shows that investors are pricing in uncertainty about whether policy will support or hinder future AI investment.

06

Why are South Korea, Taiwan, and Japan especially exposed to changes in investor confidence about AI and semiconductor demand?

These markets are exposed because Asian technology companies supply essential components for the global electronics industry. The article specifically links their strength to demand for semiconductor chips used in massive AI data centers. When investors doubt the durability or profitability of AI spending, chip-related shares can fall quickly.

South Korea is especially sensitive because its market is technology-heavy and includes Samsung Electronics and SK Hynix, the two largest publicly traded companies in the country. Taiwan’s Taiex also reflects the importance of technology companies, while Japan’s Nikkei includes major businesses affected by regional technology sentiment.

The recent numbers show the risk. The Kospi and Nikkei each fell 6 percent, while Taiwan’s Taiex dropped 4.5 percent. Jung In Yun said South Korea could see more swings before confidence settles. He still expects computing-power demand and memory-chip needs to grow, but investors remain uncertain.

07

How do expectations about future profits, economic policy, and interest rates cause stock prices to rise or fall today?

Investors buy shares based partly on expected future profits, not only current results. If they expect stronger sales, favorable policy, or cheaper financing, they may pay more today. If expected profits weaken or regulations threaten investment, they may sell. Prices can move before the underlying business changes.

In this episode, investors questioned whether AI spending would remain profitable and whether Democratic victories could slow new data-center construction. That pushed down AI-linked shares, including Nvidia, SpaceX, and ASML. A general market principle, not detailed in the article, is that higher interest rates can make borrowing more expensive and future profits less valuable today.

The result is rapid repricing across connected markets. The Nasdaq plunged 5.5 percent Thursday, while the Kospi and Nikkei each lost 6 percent Friday. Prices later recovered in some US stocks, showing how expectations, rather than confirmed changes alone, can drive volatility.

This brief was written by AI from the original reporting and checked by other models. Names, figures and quotes come from the source; read it for full context.

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