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Nasdaq set to confirm correction as AI spending worries mount

By Thomson Reuters Nov 5, 2026 | 9:19 AM

By Utkarsh Hathi and Johann M Cherian

Nov 5 (Reuters) – The Nasdaq slid more than 10% from its record close on Thursday, on track to confirm a correction as worries over ​massive AI spending and heightened scrutiny of data-center expansion ‌rattled tech stocks.

The tech-heavy Nasdaq Composite Index fell nearly 4% to 24,712.60, more than 10% below its record closing high of 27,599.89 reached on October 6.

Thursday’s slide erased the previous session’s gains after Democrats swept both houses of ‌Congress, ​as investors weighed the prospect of greater ⁠scrutiny of further AI ⁠infrastructure buildout.

“When you go from full unified control under one party to full unified control under another party that can also represent quite a bit of uncertainty, discontinuity and abrupt change ​to policy,” said Sameer Samana, senior global market strategist at Wells Fargo Investment Institute.

“When it looked like the Democrats were going ⁠to take significant majorities in both ⁠the House and the Senate, we thought that at ​the very least, it would lead to markets taking a little ​bit of a pause.”

A decline of 10% from the most ‌recent record closing high is widely considered a correction. It would mark the Nasdaq’s second correction this year.

Sentiment toward AI-linked stocks has deteriorated in recent weeks, with the Nasdaq shedding more than $2.5 ⁠trillion in market value in October. Several big tech companies are tapping debt markets to help finance billions of dollars in planned investments in ⁠data centers, chips ‌and other infrastructure required to support AI development.

Investors ⁠have increasingly questioned how quickly those investments will ​translate into ‌profits, particularly as persistent geopolitical tensions in the ​Middle East ⁠and fears of prolonged inflation have kept borrowing costs elevated.

Earnings from hyperscalers Alphabet and Meta last month failed to reassure investors about the returns on AI spending, contributing to a broader selloff in AI-linked stocks.

(Reporting by Utkarsh Hathi and Johann M Cherian in Bengaluru; Editing ​by Anil D’Silva)