AI Stock Selloff Tests US Market Resilience as Tech Sector Falls 6.8%

A 6.8% monthly drop in tech tested the rotation propping up the broader market, and strategists are watching hyperscaler capex for signs of wider fallout.

Last Updated: November 2, 2026 Editorial Process
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Published on: November 2, 2026

November 2, 2026, (Inside AI) — A sharp October selloff in AI and technology stocks is testing a rotation that has kept the broader US equity market aloft for much of 2026. The S&P 500 tech sector fell 6.8% in October, its worst monthly drop since March 2025, yet nine of the index's 11 sectors gained. The benchmark S&P 500 ended the month down less than 1%, a divergence that highlights how much of the market's resilience now rests on investors' willingness to move money out of AI winners and into everything else.

The pressure came from disappointing quarterly results at Alphabet, Amazon, and Intel. Intel alone tumbled nearly 29% on Friday, helping drive a 4.2% one-day drop in the tech sector and a 1.8% decline in the S&P 500. Investors are increasingly focused on the scale of financing required for data center and infrastructure buildouts, and on whether the returns from those investments will justify the spending. With technology carrying a 38% weight in the S&P 500, the stakes for the index are unusually high.

The S&P 500 is still up more than 10% so far in 2026, but leadership has swung repeatedly between heavyweight AI names and a broader set of sectors. September showed the opposite pattern from October, with tech and AI stocks dominating. More than 70% of S&P 500 constituents rose in October, and small- and mid-cap indexes also gained, a sign that the rotation has been real rather than cosmetic.

"You can have a month of a significant shift in leadership and tech weakness and relative strength in everything else," said Mark Hackett, chief market strategist for Nationwide. However, "if you have another month of (a steep) drop ... it's so big that mathematically it's difficult, but I think even more importantly, psychologically it's difficult."

That psychological threshold matters because AI capital spending has become a pillar of US economic growth, not just a driver of semiconductor and data center profits. Oxford Economics estimates that about one-third of recent US growth stems from AI, including direct infrastructure investment and the wealth effect from stock market gains that has supported consumer spending. If hyperscalers meaningfully slow their capex plans, the fallout would extend well beyond tech.

"Both corporate and consumer fundamentals remain healthy," said Angelo Kourkafas, senior global investment strategist at Edward Jones. "In this backdrop, investors want to maintain equity exposure. But now they want to reduce AI concentration risk and are adding to areas that offer differentiated sources of return."

Kourkafas added that if big tech companies "start pulling back on capex, which has supported economic growth, it has boosted earnings across many different areas of the economy -- that can be something that may be more impactful in terms of driving a broader risk-off sentiment."

The concentration of AI spending inside a handful of hyperscalers is itself a structural vulnerability. Unlike past capex cycles in telecom or industrials, where spending was spread across many firms, today's AI buildout is dominated by a few balance sheets. A coordinated pause would hit suppliers, construction, power providers, and local economies at once, leaving little cushion from diversified demand. That asymmetry explains why strategists treat hyperscaler guidance as a market-wide risk event rather than a sector-specific data point.

"The consumer is fine, but the consumer isn't the reason the economy looks good. The economy looks good because of AI," said Marta Norton, chief investment strategist at retirement and wealth services provider Empower. "So you start pulling the rug out from under AI in an actual meaningful way, I think that changes the dynamics for the markets."

Technical signals are adding to the caution. The S&P 500 closed below its 100-day moving average on Friday for the first time since April. The index has bounced off that trendline several times in the past two years, but breaks below it have often preceded deeper declines.

"When it has broken below ... in any material way, it was followed by a much further drop over the following weeks," said Matthew Maley, chief market strategist at Miller Tabak. "If the major averages begin to drop in a more compelling manner, it is very likely that investors will stop rotating into other sectors ... and start rotating into cash," Maley said in a note on Friday.

For now, the rotation into non-AI sectors has absorbed the shock. Whether it can survive a second consecutive month of steep AI losses is the question that will shape positioning into year-end. Investors will watch hyperscaler capex guidance and the 100-day trendline closely, because both now serve as proxies for whether the AI trade is cooling or cracking.

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