Global hedge funds significantly reduced their technology stock holdings through October 15, 2026, marking the largest divestment since records began in 2016, according to data from Goldman Sachs' prime brokerage unit published to Bloomberg and reported by Hedgeweek on October 20, 2026 [S2]. This rapid pullback, which saw net leverage fall to a one-year low of 48.6%, occurred amid growing investor concerns about the long-term returns on substantial artificial intelligence (AI) investments and contributed to a broad market downturn for US tech stocks [S2].
Market Turmoil and Tech Giants' Losses The five trading days leading up to October 15, 2026, witnessed a sharp decline in the technology sector, with the Nasdaq 100 Index dropping 5.5%—its steepest fall since April 2025. The sell-off intensified, with Goldman Sachs reporting that its index tracking hedge funds' favored positions plummeted 4.2% on October 22, 2026, marking its worst daily decline since 2011 and leaving the basket down 10.4% for the month of October, as confirmed by NDTV Profit on November 2, 2026 [S5]. Approximately $20 billion in technology stocks were sold over a two-week period in October, a figure close to the $23 billion unwind observed in July. Goldman Sachs data further indicated that hedge funds reversed all the AI stocks they had purchased since the start of 2025 in just five sessions in October.
The impact was particularly severe for memory chipmakers, with Samsung, SK Hynix, Micron, and SanDisk collectively losing more than $700 billion in market value in under two weeks during October. Major tech players also faced significant setbacks. Alphabet (Google) stock experienced its worst day ever on Thursday, October 29, 2026, falling more than 12% after the company's disappointing third-quarter earnings report, which erased approximately $500 billion from its market capitalization. This decline was attributed to slowed advertising revenue growth in the third quarter, with AI Mode queries noted as a reason for lower monetization. The following day, Friday, October 30, 2026, Intel shares plunged roughly 29% after the chipmaker issued a weaker fourth-quarter outlook and warned of a slowdown in personal computer sales. Intel's finance chief indicated the company did not expect to generate more cash than it spent in 2026. Overall, US tech stocks lost more than $1 trillion in market value on October 30, 2026, as investors increasingly questioned whether heavy AI spending would deliver sufficient returns.
Shifting Funding and Debt Concerns The landscape of AI investment funding has seen a notable shift, with major tech companies increasingly relying on debt. Microsoft, Alphabet, Amazon, Meta, and Oracle collectively issued $326 billion in debt in 2026, a figure triple last year's level, indicating a move from operating cash flow to debt and leases as primary funding sources for AI spending. While AI-related bond issuance reached $466 billion in 2026, more than four times the $101 billion issued in 2025, there was a noticeable deceleration, with September issuance falling to $23 billion, less than half the amount from the prior month. This broader trend of caution is reflected in hedge fund activity, with Morgan Stanley reporting that hedge funds have cut more than 8% of their total stock bets since June 2026, representing their biggest retreat since at least 2017. The overall financial leverage in the market also remains high, with FINRA margin debt reaching $1.48 trillion in September 2026, up 31% from a year ago.
Bubble Warnings and Counterarguments The recent market volatility has reignited discussions about a potential AI market bubble. Ray Dalio, founder of Bridgewater Associates, has warned that AI stocks have become detached from financial fundamentals. Similarly, Ken Griffin, founder of Citadel, stated last week that AI is "almost certainly" fueling a market bubble that could be on the verge of a burst. However, not all market observers agree on the "AI bubble bursting" narrative. Veteran investor Jordi Visser counters this idea, arguing that the real driver of the October selloff was rapid hedge fund deleveraging rather than a collapse in AI demand. Fundstrat's Tom Lee also suspects that a single forced seller may have driven the slide in AI stocks. Furthermore, while headlines suggested Meta's new class of nonvoting shares was a way to fund AI, Brownstone Research on October 28, 2026, suggested Meta's own filing ties it to Mark Zuckerberg maintaining control and preparing for California's proposed billionaire tax.
The Future of AI Investment The long-term trajectory of the AI investment boom remains a subject of considerable debate. Ted Mortonson, a technology strategist at Robert W. Baird & Co., expects the global AI infrastructure buildout to continue through 2030. However, the timing and magnitude of returns that leading tech companies will ultimately realize on their AI investments are being called into question due to soaring capital expenditure forecasts. Goldman Sachs views the unwind in hedge fund AI holdings as closer to its start than its end, noting that funds' AI holdings still rank in the top 17% of the past three years. JPMorgan strategists warn that if the capacity of hedge funds to hold tech exposures is structurally reduced, the tech trade could become more dependent on retail investors and thus more susceptible to volatility.
Concerns about the sustainability of current AI spending are also emerging. Gartner estimated in an October 14, 2026, report that more than $3.5 trillion of AI infrastructure investment could be exposed to impairment by the end of 2030, and forecast that more than 80% of neocloud operators will not remain independent businesses by 2030. Economist Servaas Storm believes there is an AI bubble in the stock market and data center construction that could pop "rather soon," likely before the end of Trump's presidency, citing rising debt loads and elevated interest rates. He also notes that frontier AI labs "do not have a credible path to profitability." Conversely, VanEck Head of Product Management Brandon Rakszawski does not believe an AI bust is imminent, citing hyperscalers continuing to fund their capital expenditures. The slowdown in personal computer sales, as warned by Intel's finance chief, could also continue into 2027, adding another layer of uncertainty to the tech sector's outlook. Goldman Sachs expects growth in S&P 500 company earnings to slow to 18% next year from 29% in 2026.