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FindArticles > News > Business

Amazon and Intel Earnings Spur Broad AI Tech Sell-Off

Gregory Zuckerman
Last updated: October 31, 2026 12:31 am
By Gregory Zuckerman
Business
7 Min Read
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U.S. technology shares sold off sharply Friday, Oct. 30, after Amazon and Intel reported quarterly results that sharpened investors’ concern about the payoff from enormous spending on artificial-intelligence infrastructure. The retreat hit the companies most closely identified with the AI trade, pulled major equity benchmarks lower and underscored how a relatively concentrated group of large technology stocks can shape the broader market.

Intel fell roughly 29% to 30%, while Amazon ended modestly lower after recovering from a steeper post-earnings decline. The Nasdaq Composite closed down 2.8% and the S&P 500 lost 1.8%, according to NBC News. The selling spread well beyond the two reporting companies: the Philadelphia Semiconductor Index dropped 7.2%, with AMD, Arm Holdings, Qualcomm and Marvell each down around 10%.

Table of Contents
  • Results put capital-spending returns back in focus
  • Intel added an earnings and supply shock
  • The trillion-dollar figure measures different things
Abstract market decline with server racks, semiconductor wafers and falling chart lines.

Results put capital-spending returns back in focus

The market reaction was not simply a referendum on whether companies will build more computing capacity. Investors have broadly expected that. The issue was whether the expanding outlays will produce revenue growth, operating profit or productivity gains soon enough to justify the investment and the valuations assigned to AI-linked businesses.

Amazon Chief Executive Andy Jassy said on the company’s earnings call that Amazon expected about $220 billion in cash capital expenditures in 2026, largely for Amazon Web Services, and expected spending to rise meaningfully again in 2027, as reported by NBC News. AWS is a central supplier of cloud computing capacity, making Amazon’s plans a significant data point for the industry’s infrastructure cycle.

The scale is not confined to Amazon. Analyst estimates cited by Yahoo Finance put combined capital investment this year by Microsoft, Alphabet, Amazon and Meta Platforms at more than $700 billion, much of it directed toward AI infrastructure. That estimate is not a company forecast and does not establish the eventual return on those investments. It does, however, illustrate the size of the spending commitments that investors are now testing against near-term earnings.

Conceptual illustration of large cloud companies funding AI data centers and chip infrastructure.
AI infrastructure spending is concentrated among a small group of large cloud and platform companies, while returns may arrive on a different timetable.

Amazon’s stock finished down about 1.4% in NBC News’s closing account. The Guardian put the decline at 1.8%. The small difference is consistent with reporting captured at different points around the close, but both accounts show the same pattern: the initial earnings reaction was more severe than the final-session loss.

Intel added an earnings and supply shock

Intel’s decline had a more company-specific component. Chief Executive Lip-Bu Tan pointed to near-term manufacturing and supply challenges, an unprecedented memory shortage and resulting softness in personal-computer demand, according to NBC News’s account of the earnings call. Citigroup analysts described the report as two steps forward and one step back, reflecting the mix of progress and immediate operational pressure investors saw in the results.

The 29% to 30% share-price fall was among Intel’s steepest single-session losses, but the available historical labels should be treated carefully. The Guardian said the stock was approaching its worst day since 1974, while NBC News called it Intel’s worst one-day decline in a data series reaching back to the 1980s. Those are different historical comparisons, not a single settled record claim.

Intel’s weakness mattered beyond its own market value because it reinforced a broader concern visible across chips: AI infrastructure demand can be powerful while individual suppliers still face execution risks, supply constraints and exposure to slower legacy markets. That distinction helps explain why the decline reached semiconductor makers with different products and customer bases.

The trillion-dollar figure measures different things

Headlines describing a trillion-dollar wipeout capture the scale of the market move but refer to different universes and time periods. NBC News reported that Friday’s technology-stock sell-off erased more than $1 trillion in value. The Guardian separately reported that nearly $1 trillion had been lost from the tech-heavy Nasdaq over the preceding week and about $2 trillion over the prior month. Those figures should not be combined or treated as an identical measure of Friday’s Nasdaq decline.

Index percentages also require similar care. NBC News reported that the Nasdaq 100 was down 3.4% in afternoon trading, while the Nasdaq Composite finished down 2.8%. The Guardian described the Composite as down more than 3%, a figure that may reflect its reporting time rather than the official close. The Nasdaq 100, dominated by 100 large nonfinancial Nasdaq-listed companies, and the broader Nasdaq Composite are not interchangeable benchmarks.

Alphabet illustrated the concentration risk embedded in those indexes. NBC News and the Guardian each reported that Alphabet lost about $500 billion in market value in the preceding session and fell again Friday. When a handful of giant AI-linked companies move sharply, capitalization-weighted benchmarks can decline even when the underlying economy has not experienced a comparable change.

The immediate question for investors is therefore narrower than whether AI will remain a major corporate priority. Amazon’s planned expenditure and the spending estimates for its largest peers indicate that it will. Friday’s trading showed that the market is becoming less willing to value that infrastructure buildout on anticipated demand alone, particularly when earnings reports expose costs, supply limits or uncertainty about when returns will emerge.

Gregory Zuckerman
ByGregory Zuckerman
Gregory Zuckerman is a veteran investigative journalist and financial writer with decades of experience covering global markets, investment strategies, and the business personalities shaping them. His writing blends deep reporting with narrative storytelling to uncover the hidden forces behind financial trends and innovations. Over the years, Gregory’s work has earned industry recognition for bringing clarity to complex financial topics, and he continues to focus on long-form journalism that explores hedge funds, private equity, and high-stakes investing.
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