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S&P 500 slips 4% from its peak as AI selloff stirs recession fears

S&P 500 slips 4% from its peak as AI selloff stirs recession fears

Photo: Tom Fisk / Pexels

Disappointing results from Intel, Amazon and Alphabet have turned the market's favorite growth story into its biggest macro risk

The trade that carried Wall Street for years is now the thing keeping economists up at night.

As of November 2, the S&P 500 sits approximately 4% below its recent high, and the Nasdaq is down about 10%. A Reuters commentary filed from Orlando warns that a slump in AI-linked stocks could sharply worsen a global slowdown that already looks to be underway, possibly pushing several major economies into recession.

How the AI trade cracked

The spark came from earnings season. Results from Intel, Amazon and Alphabet disappointed, and investors began asking an awkward question about AI: how much more cash can these companies burn before the payoff shows up?

The reaction was brutal for some names. Intel shares fell between 28.6% and 29% in a single session after its report.

Alphabet fared better, though not by much. Its shares dropped as much as 12.6% on results day, with negative free cash flow getting particular attention.

Free cash flow is the money left over after a company pays for its operations and its investments. When it turns negative, the business is spending more than it brings in, which is fine if the bets pay off and painful if they don’t.

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The broader indexes felt it on October 30. That day the S&P 500 fell 1.82% and the Nasdaq slid 2.86%, the tech-heavy index’s largest one-day decline since early June, following the Intel and Amazon results.

Market breadth, meaning how many stocks are actually participating in a rally, has narrowed noticeably around AI names.

The economy’s hidden dependency

AI-related effects lifted GDP growth across six advanced economies by an average of 0.2 percentage points in 2025-2026. Strip that contribution out, and underlying growth in those economies ran at only 0.5-1.0% a year.

That is why the Reuters piece frames the selloff as a potential accelerant rather than a cause. Global growth was already showing signs of cooling, and a sustained AI stock slump could deepen that trend considerably.

A rare kind of drawdown

Over the past four years, the S&P 500 has posted only one decline of more than 10%: a short-lived drop in April 2025 tied to tariff concerns.

The downside scenarios are not small. Analysts at TS Lombard caution that a significant reversal in AI investment could send the S&P 500 down more than 30%, potentially wiping out $20 trillion in market value.

Still, the outlook described in the research is not uniformly grim. The expectation is for only a mild recession in the US, supported by the Federal Reserve’s capacity to respond with policy and by the resilience of private-sector balance sheets.

What this means for investors and the economy

The core risk here is concentration. When a small group of AI-linked companies accounts for a growing share of both market gains and economic growth, a stumble at those companies ripples outward far faster than it would in a more balanced market.

The capital spending question is the one to watch. Investors have tolerated enormous AI budgets on the assumption that revenue would eventually catch up. Results from Intel, Amazon and Alphabet suggest that patience is wearing thin, and future earnings calls will likely be judged on spending discipline as much as growth.

There is also a feedback loop worth noting. If falling stock prices push companies to trim AI investment, that cut would subtract from the very GDP contribution that has been masking weak underlying growth.

That loop is the scenario TS Lombard’s 30%-plus warning is built around.

For now, the numbers are a 4% dip in the S&P 500 and a 10% drop in the Nasdaq. The bigger question is whether the AI boom was a growth engine or a support beam, and markets appear to have started pricing the possibility that it was both.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.

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