Before the market crash, key indicators showed hedge funds' gross exposure (the total value of long and short positions) was at historic highs. This extreme leverage meant that any catalyst forcing de-risking would inevitably trigger a large, cascading deleveraging event, regardless of the initial narrative.

Leopold Aschenbrenner's fund, despite a strong AI thesis, was margin called due to massive leverage. This shows how short-term market corrections, amplified by leverage, can destroy fundamentally sound, long-term positions—a classic lesson Warren Buffett has warned about for decades.

The lack of leverage in venture capital creates a different failure dynamic. A struggling startup can cut costs and stretch its runway for years. In contrast, a hedge fund with margin calls faces an immediate, rapid unwinding. The presence of leverage is the key determinant of the speed of collapse.

The use of leverage in public markets means financial distress, like margin calls, forces an immediate collapse. In contrast, venture-backed startups lack this leverage, allowing them to burn down equity slowly over years by cutting costs, creating a much longer and less correlated unwinding process.

When a leveraged fund faces margin calls, as Leopold Aschenbrenner's did, competitors can "pile on" by shorting the same stocks. This drives prices down further, intensifying the margin pressure and creating a feedback loop that accelerates the fund's collapse, allowing rivals to acquire its assets at a deep discount.

According to Andrew Ross Sorkin, while bad actors and speculation are always present, the single element that transforms a market downturn into a systemic financial crisis is excessive leverage. Without it, the system can absorb shocks; with it, a domino effect is inevitable, making guardrails against leverage paramount.

The spectacular collapse of the $30B "Situational Awareness" hedge fund was a classic financial failure, not a verdict on AI's market viability. The fund used extreme 4x leverage, making it vulnerable to a market drawdown in semiconductor stocks. The core issue was risk management, not the fundamental value of its AI-focused investments.

Widespread credit is the common accelerant in major financial crashes, from 1929's margin loans to 2008's subprime mortgages. This same leverage that fuels rapid growth is also the "match that lights the fire" for catastrophic downturns, with today's AI ecosystem showing similar signs.

Gambler Edward Gilbert used leverage to fund his stock market plays. When the market turned, margin calls forced him to sell at the worst possible time, turning a manageable stock drop into a catastrophic loss. Leverage removes the option to wait out volatility, destroying sound investment strategies.