The timing of AI market FUD (Fear, Uncertainty, and Doubt) isn't random; it shows a consistent seasonality. Panics often amplify during the summer, a period historically known for "momentum breakdowns" in markets. This context suggests current anxieties may be magnified by recurring market psychology rather than fundamentals alone.

The market is simultaneously devaluing software companies because AI is a viable competitor, while also punishing AI infrastructure companies for their massive capital expenditures with uncertain returns. This contradictory fear creates broad, indiscriminate selling.

Today's massive AI company valuations are based on market sentiment ("vibes") and debt-fueled speculation, not fundamentals, just like the 1999 internet bubble. The market will likely crash when confidence breaks, long before AI's full potential is realized, wiping out many companies but creating immense wealth for those holding the survivors.

Revolutionary tech like AI creates excitement, driving up asset prices. Investors borrow against this "paper wealth." The bubble pops when external factors (like rising interest rates) force these leveraged investors to sell assets to get cash, triggering a cascading price collapse.

Despite being the worst momentum sell-off in 27 years, the market rotation out of AI stocks has not caused volatility in other asset classes like fixed income or foreign exchange. This suggests a localized, equity market structure issue rather than a systemic, cross-asset risk-off event.

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.

The Situational Awareness fund collapse shows a correct long-term thesis (AI infrastructure build-out) can fail. When a fund is highly leveraged and concentrated, short-term macroeconomic jitters around interest rates or geopolitical events can force liquidation before the thesis can play out.

The AI industry's opulence and leverage mirror conditions before the 1998 collapse of the hedge fund LTCM. A peripheral market shock could cause a domino effect, leading to a sudden, dramatic failure of a major AI player that currently seems invincible.

The $830 billion sell-off in software stocks wasn't a reaction to AI's current capabilities, but to a shift in investor perception. New AI agents made a future "software apocalypse" plausible enough to alter present-day company valuations.