The artificial intelligence investment narrative faced significant headwinds during the week of October 30, 2026, as market professionals grew increasingly concerned about whether returns are materializing fast enough to justify the massive AI buildout [1]. AI-related shares have entered or are approaching bear market territory, with the Global X Artificial Intelligence & Technology ETF down 4% for the week, 8% for October, and 15% from its summer record [1]. Meanwhile, the iShares Semiconductor ETF fell deeper into bear market territory, down 29% from its recent high [1].
Key concerns driving the selloff include Anthropic's reported deceleration in sales from Q2 to Q3 with limited visibility on future revenues [1], and major technology companies pulling back on capital expenditures, suggesting they see a terminal level of required computing power [1]. Individual stock performance reflected the broader weakness, with Intel down 25% on lackluster revenue guidance, Nvidia down 4%, Micron down 5.5%, Amazon down 2%, and Google down another 1% on Friday [1]. Google experienced its worst trading day ever on Thursday after reporting a drop in core advertising sales revenues, with the stock falling more than 10% following earnings [1].
Market professionals expressed caution about the AI trade's sustainability. JJ Kinahan, SVP at Cboe Global Markets, stated: "You want to make sure that the reward is worth the risk. I think the reward will be [there], but it continues to be a lot of money up front," and noted that the recent AI boom was "in question" [1]. Mike Khouw, YieldMax strategist, added: "I'm a little worried about the trade. I think we're probably going to get a little bit more chopping here" [1]. Options specialists observed increased demand for downside insurance, signaling investor anxiety about further declines [1]. Despite the AI sector weakness, the broader S&P 500 bull market remained intact, supported by a rotation into non-AI stocks like Procter & Gamble and Berkshire Hathaway [1].
CONCLUSION
The AI investment thesis faces a critical inflection point as massive capital expenditures have failed to generate proportional profits, triggering a significant sector rotation and bear market conditions in AI-related equities. While the broader market remains supported by defensive stocks, the requirement for near-term profit materialization from AI investments has become paramount, with market professionals increasingly questioning whether current valuations remain justified given the capital intensity and uncertain returns of the AI buildout.