Hedge funds have rapidly reversed their enthusiasm for artificial intelligence stocks, with just five consecutive trading sessions in October wiping out all their purchases of AI-related equities accumulated since the beginning of 2025, according to Goldman Sachs data.
The dramatic shift highlights growing uncertainty across financial markets, where concerns about positioning, borrowing costs, and valuation pressures are challenging the optimism that has supported the AI investment boom.
The retreat has extended beyond individual technology companies to some of the semiconductor industry’s most important players. Samsung Electronics, SK Hynix, Micron Technology, and SanDisk collectively lost more than $700 billion in market value in less than two weeks.
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Yet the broader S&P 500 remained relatively stable, suggesting that the selling pressure has been concentrated in particular technology segments rather than reflecting an equally severe decline across the entire stock market.
Morgan Stanley’s assessment adds another layer of concern. According to the bank, hedge funds have reduced their stock exposure by more than 8% since June, representing their largest retreat since at least 2017.
Such a substantial reduction indicates that professional investors are reassessing their willingness to maintain aggressive equity positions after months of enthusiasm surrounding artificial intelligence infrastructure, data centers, and advanced semiconductor manufacturing.
The reasons behind the sell-off remain contested. Market bulls argue that the decline reflects excessive leverage and crowded investment positions rather than deteriorating demand for AI technology.
When hedge funds borrow money to amplify returns, falling share prices can trigger margin calls, forcing investors to liquidate positions quickly. If numerous funds hold similar investments, these forced sales can accelerate losses even when the underlying businesses remain financially healthy.
Corporate fundamentals provide ammunition for investors defending the AI growth story. Company profits have reportedly increased by approximately 20%, demonstrating that earnings growth continues to support parts of the technology sector.
Meanwhile, SK Hynix has indicated that memory shortages could persist until 2030, reflecting expectations of sustained demand for high-bandwidth memory and other components essential to increasingly sophisticated AI systems.
These supply constraints could benefit manufacturers capable of expanding production while maintaining pricing power. The development of advanced AI models requires substantial computing resources, increasing demand for specialized chips, memory products, and supporting infrastructure.
Consequently, some investors believe recent share-price declines could create opportunities to acquire companies with durable earnings prospects at more attractive valuations. Strong demand forecasts do not eliminate investment risks.
Semiconductor manufacturers face enormous capital expenditure requirements, technological competition, and the possibility that customers could eventually reduce spending.
If AI infrastructure investments fail to generate sufficient financial returns, companies supporting the industry could experience slower orders and weaker profitability despite current supply shortages.
Goldman Sachs has adopted a more cautious position, warning that the hedge fund unwind appears closer to its beginning than its conclusion. If investors continue reducing exposure, additional selling could place pressure on technology shares and extend volatility across financial markets.
The next phase will depend on whether corporate earnings and sustained AI demand can outweigh deleveraging and deteriorating investor confidence.
The October sell-off demonstrates that even powerful technological trends cannot protect stocks from sudden portfolio adjustments. Distinguishing temporary market pressure from weakening business fundamentals will be critical to determining whether the retreat represents a buying opportunity or the beginning of a deeper correction.