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.

Major tech companies are investing in their own customers, creating a self-reinforcing loop of capital that inflates demand and valuations. This dangerous practice mirrors the vendor financing tactics of the dot-com era (e.g., Nortel), which led to a systemic collapse when external capital eventually dried up.

Historical data shows that when CapEx for a new technology exceeds 2-3% of GDP, a market crash follows within a few years. Today's AI infrastructure spending has reached similar levels, with 93% of GDP growth coming from AI CapEx, suggesting the current tech boom is unsustainable and headed for a correction.

The boom in leveraged ETFs, heavily concentrated in tech and crypto, forces systematic buying on up days and selling on down days to maintain leverage targets. This creates a "negative gamma" effect that structurally amplifies momentum in both directions and contributes to market fragility.

A key indicator of a bubble's final stage, observed only four times in U.S. history (1929, 1972, 2000, 2021), is when speculative, high-beta stocks that led the rally start to fall sharply while blue-chip indices continue to grind higher. This market divergence is a 'primal scream' that a crash is imminent.

Wolfe warns founders that the gap between narrative-driven equity highs (AI hype) and risk-averse bond buying (a flight to safety) is a critical macro signal. This divergence suggests underlying instability that startups should not ignore, despite the bullish tech narrative.

History shows that when a tech sector dominates Super Bowl advertising, a market crash follows. The dot-com bust followed the 2000 Super Bowl, and the "Crypto Bowl" of 2022 preceded crypto's collapse. Today's AI ad-spend may signal a similar downturn.

Fears that AI will render software and other tech industries obsolete are driving a significant capital shift. Investors are selling tech stocks and buying into sectors perceived as immune to AI disruption, such as energy, construction, and consumer staples. This rotation explains the recent underperformance of tech-heavy indices.

When crowded trades in different sectors unwind simultaneously (e.g., a software rally amid a consumer staples sell-off), it's often not a fundamental shift. It can be a market structure sign that large, multi-strategy funds are de-grossing their books.