Hedge funds remain fundamentally bullish on AI-related stocks despite a recent broad sell-off in technology equities across U.S. markets.

This persistence suggests that institutional investors view the current volatility as a temporary correction rather than a structural collapse of the artificial intelligence trade. If the largest players on Wall Street maintain their positions, it may signal a long-term confidence in AI's economic utility despite short-term price swings.

Vincent Lin, co-head of Prime Insights and Analytics, Global Banking & Markets at Goldman Sachs, said hedge funds are still bullish on AI stocks even after the largest cumulative tech sell-off in the available data set. Lin said the pull-back was a "healthy reset" rather than a loss of conviction in the sector.

Market data shows the S&P 500 fell 4.6% [1] during the first quarter of 2026. This decline created a period of high volatility and cleared out what investors call "crowded trades," positions where too many investors hold the same asset, increasing the risk of a sharp drop when a few begin to sell.

However, the sentiment is not universal. Some reports indicate that short positions are returning to fashion on Wall Street, suggesting a shift toward bearish bets on tech and AI equities. Other analysts have raised concerns about the sustainability of the trade as chipmakers and other high-flying AI stocks continue to slide.

Despite these contradictions, reports from July 24, 2026 [2], indicate that some major entities, including Singapore's GIC, believe hedge funds are positioned to weather this volatility. The prevailing view among these managers is that the correction removes excess speculation, leaving room for continued growth driven by actual AI implementation.

“Hedge funds view the recent tech sell-off as a correction that clears crowded trades.”

The divergence between hedge fund optimism and the rise of short-selling indicates a market in transition. While the initial hype-driven surge has cooled, the 'healthy reset' suggests a shift from speculative buying to value-based investing in AI. The outcome depends on whether AI companies can translate technical potential into sustained earnings to justify their valuations after the 2026 first-quarter dip.