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Wall Street Issues Margin Calls to Hedge Funds as AI Stocks Tumble - Seoul Economic Daily

Reported by Sedaily
Jul 29, 2026· 3 min read
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Key Takeaways
  • • Goldman Sachs and JPMorgan Chase have issued margin calls to hedge funds holding concentrated positions in technology and AI stocks, demanding additional collateral as leveraged positions deteriorate amid sector weakness.
  • • AI-related stocks have experienced a sharp correction, with the Nasdaq 100 falling 10% intraday from its early-June peak, while semiconductor names SanDisk and Intel have declined 53% and 39% respectively from their highs, eroding collateral values.
  • • Hedge funds that significantly increased leverage during the first half of 2026 are now facing the steepest margin calls since the 2020 COVID crisis, as prime brokers shift into active risk-management mode in response to accelerating losses on concentrated positions.
  • • Goldman Sachs data shows hedge funds pulled back from US tech stocks at a record pace, with the cohort acting as a net seller in six of the past eight weeks, signaling forced deleveraging and position liquidation.
  • • The margin calls reflect Wall Street's growing concern over the scale and speed of the AI-related sell-off that has unfolded over the past two weeks, according to the Financial Times, as collateral erosion threatens the stability of leveraged hedge fund strategies.
Summary
Major Wall Street investment banks have begun systematically demanding additional collateral from hedge funds as artificial intelligence stocks undergo a steep correction. Goldman Sachs and JPMorgan Chase, acting as prime brokers that lend money against hedge fund portfolios, have notified clients holding concentrated positions in the technology sector that they must post additional collateral to maintain existing leverage levels. The margin calls underscore the rapid deterioration in hedge fund collateral values and the heightened risk exposure inherent in highly leveraged strategies concentrated in cyclical sectors.

The sell-off in AI-related equities has been dramatic and accelerating. The Nasdaq 100 index declined 10% intraday from its record high established in early June, entering technical correction territory. Semiconductor stocks that surged in the first half of 2026 have experienced severe reversals: SanDisk has fallen 53% from its peak, while Intel has declined 39%. These sharp declines have directly impaired the market value of collateral supporting leveraged hedge fund positions, triggering the cascade of margin calls from prime brokers concerned about counterparty risk.

According to the Financial Times, the margin calls predominantly affect hedge funds that substantially increased their leverage during the AI rally in the first five months of 2026. These funds benefited disproportionately during the bull run but face compounding losses as equity values collapse. The Financial Times characterized the demand for additional collateral as reflecting "Wall Street's growing concern over the scale and speed of the AI-related sell-off that has unfolded over the past two weeks." Market participants describe these demands as the steepest margin calls since the 2020 COVID crisis.

The forced deleveraging is evident in broader positioning data. Goldman Sachs' Prime Services desk, led by Vincent Lin, reported that hedge funds have pulled back from US technology stocks at a record pace over the past two months, acting as a net seller of the sector in six of the past eight weeks. This sustained selling pressure underscores the mechanical nature of the deleveraging cycle: as margin calls force position reductions, fire-sale liquidations further depress prices, potentially triggering additional margin requirements. The dynamic illustrates the latent leverage risk embedded in concentrated hedge fund strategies during periods of sharp sector rotation or correction.

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Sources

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AlphaMaven summarised this story from the reporting below. Each link opens the original article.

Sedaily Wall Street Issues Margin Calls to Hedge Funds as AI Stocks Tumble - Seoul Economic Daily