Goldman data: hedge funds unwind AI stock bets in five sessions
Goldman Sachs prime brokerage data, reported by Hedgeweek, indicates hedge funds erased all net purchases of global AI stocks accumulated since the start of 2025 in just five trading sessions. The report cites roughly $20bn in technology stock sales over two weeks, near the $23bn seen in a July unwinding, with long selling outpacing new shorts by 3.5 times. It also states Goldman's hedge-fund-favoured basket fell 4.2% on 22 October, its steepest one-day drop since 2011, and that Morgan Stanley data showed overall exposure cut by about 7.8%.
Why “Unverified”
- Reported by Hedgeweek alone, with no second source or primary confirmation yet
1 independent source group across 1 post · evidence score 48/100. How labels work
What the sources claim
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Hedge funds erased all net AI stock purchases made since the start of 2025 within five trading sessions, per Goldman Sachs prime brokerage data.
“Hedge funds have erased all their net purchases of global artificial intelligence stocks accumulated since the beginning of 2025 in just five trading sessions”
Hedgeweek -
About $20bn of technology stock sales occurred over two weeks, approaching the $23bn seen in a July unwinding.
“approximately $20bn in technology stock sales over two weeks, approaching the $23bn recorded during a major unwinding in July”
Hedgeweek -
Selling of existing long positions outpaced new short selling by 3.5 times.
“Selling of existing long positions outpaced new short selling by 3.5 times”
Hedgeweek -
Goldman Sachs' basket of hedge-fund-favoured stocks fell 4.2% on 22 October, its steepest single-day decline since 2011.
“Goldman Sachs' basket of stocks favoured by hedge funds falling 4.2% on 22 October, its steepest single-day decline since 2011”
Hedgeweek -
Morgan Stanley data indicated hedge funds reduced overall exposure by approximately 7.8%.
“Separate Morgan Stanley data indicated that hedge funds reduced their overall exposure by approximately 7.8%”
Hedgeweek
Sources
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Summary and claims extracted by AI with prompt analyze-story@5 on 2026-11-02 10:20 UTC. Labels are computed from the sources, not by the model.