Institutional
Goldman Sachs surveyed 341 hedge fund allocators managing $1.5 trillion and found the industry's 7% first-half return, nearly double the 10-year average, came from correctly rotating through three different phases of the AI trade rather than just holding it
Almost half of allocators plan to increase hedge fund exposure in the second half of 2026 and only 3% plan to cut it, with equity long-short managers posting 12.9% gains as funds moved money from semiconductors to power and data centers and then into memory chips as each phase of the AI trade played out.
A 7% first-half return sounds solid but unremarkable until it is measured against the industry's own 10-year average of 4.1%, at which point it becomes a genuinely strong half-year, and Goldman's survey work is useful precisely because it explains the mechanism rather than just reporting the number. The line worth sitting with is the bank's own framing that funds "successfully pivoted through the AI complex," moving from semiconductor exposure into power and data-center names and then into memory stocks as each leg of the trade matured. That is a description of active rotation, not a description of a rising tide lifting a static book.
The rotation detail matters because it argues against the simplest explanation for hedge fund AI-era outperformance, which is that funds just happened to be overweight a sector that went up. Equity long-short managers, the strategy most dependent on genuine stock selection rather than beta, delivered 12.9% average gains, nearly double the headline hedge fund number. That gap is the tell: if this were purely a rising-tide effect, long-short and the broader index would have converged rather than diverged, since long-short's whole premise is that the short book caps how much a rising market alone can do for it.
The survey's forward-looking half is arguably more informative than the trailing return. Half of 341 allocators overseeing $1.5 trillion plan to add hedge fund exposure in H2 2026, against just 3% planning to cut it. That is not the allocation pattern of investors who think the AI trade already ran its course in H1; it is the pattern of investors who think the rotation Goldman just described, moving capital as each phase of the AI buildout matures rather than staying static, is a repeatable skill worth paying 2-and-20 for again in the second half.
The risk sitting underneath this is one this site has covered before from the regulatory side: a strategy built on correctly timing rotations between AI sub-sectors is, by construction, a strategy that assumes each rotation will keep announcing itself clearly enough to trade around. Memory chips followed data centers followed semiconductors this year in a sequence allocators could narrate after the fact. Nothing in Goldman's survey addresses what happens to a fund whose entire H1 outperformance came from correctly reading rotation signals if a future leg of the AI trade does not rotate cleanly, but instead breaks all at once.
Read the original: Reuters (via Goldman Sachs client note) - Goldman Sachs surveyed 341 hedge fund allocators managing $1.5 trillion and found the industry's 7% first-half return, nearly double the 10-year average, came from correctly rotating through three different phases of the AI trade rather than just holding it. Commentary is the independent editorial view of Share Trading; the original article is credited to its publisher.