Goldman Sachs data shows hedge funds sold off all of the global AI-related stocks they had accumulated since the start of 2025 in just five trading days, with net selling recorded for five straight sessions. The pullback extended beyond AI names: hedge funds cut roughly $20 billion in technology stocks over a two-week period, and most of that reduction came from selling existing long positions rather than adding fresh shorts. Goldman said the pace of selling was 3.5 times faster than the rate of new short positions in AI-related stocks. Separately, Goldman’s basket of hedge funds’ favorite stocks fell 4.2% on Oct. 22, marking its biggest one-day drop since 2011. Steno Research, citing Morgan Stanley data going back to 2016, also said overall hedge fund equity exposure was reduced by about 7.8%, the largest decline in that data series.
Goldman Sachs data shows hedge funds dumped all of the global AI-related stocks they had accumulated since the start of 2025 in just five trading days. The selling also marked five consecutive trading days of net sales in global AI stocks.
Beyond AI names, hedge funds cut about $20 billion in technology stocks over a two-week span. Goldman said most of that reduction came from selling existing holdings, with the pace of selling running 3.5 times faster than the addition of new short positions in AI-related stocks.
Goldman’s basket tracking hedge funds’ most favored stocks fell 4.2% on Oct. 22, its biggest one-day decline since 2011.
Separately, Steno Research, citing Morgan Stanley data since 2016, said overall hedge fund equity exposure was reduced by about 7.8%, the largest drop in that data series.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
