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Wall Street slides 1.8% as AI profit doubts deepen
The S&P 500 posted its worst day since June on Friday as disappointing tech earnings sparked investor fears that massive AI spending won't yield promised returns.
What happened
A sell-off for tech stocks deepened Friday on widespread concerns that Wall Street's frenzy around artificial intelligence had pushed valuations too high relative to earnings reality. The S&P 500 tumbled 1.8% to its worst day since June, marking a third straight losing week. The Nasdaq composite, more exposed to tech, fell 2.9%, while the Dow dropped 1.1%. The selling concentrated among AI-heavy names: Intel plunged 28.6% for its worst day since 1974 after disappointing guidance, while Nvidia fell 4.2% despite its central role in powering AI infrastructure.
The immediate trigger came from earnings misses by major AI investors. Alphabet's stock dropped more than 12% Thursday after Google reported faster cash burn during the summer than the spring quarter. Amazon fell 1.4% Friday after reporting weaker summer profits than analysts expected. These results punctured investor confidence in the economics of AI buildout.
The deeper concern: whether the hundreds of billions committed to data centers, chips, and AI infrastructure will ever generate sufficient profit. Markets were moving, as one portfolio manager put it, "out of the hopes and dreams phase of the AI trade and into the 'show me' phase." Goldman Sachs estimates tech companies will spend $7.6 trillion through 2031 on AI infrastructure, yet evidence of consumer and business willingness to pay for these services remains thin.
The selloff was narrow—most of the market held relatively steady, with nearly as many stocks rising as falling in the S&P 500. But the concentration of damage in mega-cap tech names mattered: the Nasdaq's 2.9% drop was more than double the Dow's decline. The tech sector posted its largest monthly loss since March 2025, erasing most of October's early gains despite the index reaching an all-time high earlier this month.
Chanakya's Move
The market is executing a collective reassessment of AI valuations—this is not panic, but a correction. Big Tech's move to massive capex spending signaled confidence in future returns, but the market is now demanding proof that current earnings growth justifies the billion-dollar bets. Intel's historic one-day collapse and Alphabet's warning on cash burn are the pivots. Wall Street has shifted from asking "who wins in AI?" to "when do these bets pay off?" Companies betting on extended monetization timelines face pressure; those that can show near-term revenue uplift from infrastructure spending will command a premium again. The risk for the broader market: if the repricing continues, valuations for all of tech could compress until earnings accelerate—a process that could take quarters.