Bubbles are created when assets like startup equity are valued astronomically, creating immense perceived wealth. However, this "wealth" is not money until it's sold. A crash occurs when events force mass liquidation, revealing a scarcity of actual money to buy the assets.
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Speculative manias, like the AI boom, function like collective hallucinations. The overwhelming belief in future demand becomes self-fulfilling, attracting capital that builds tangible infrastructure (e.g., data centers, fiber optic cables) long before cash flows appear, often leaving lasting value even after the bubble bursts.
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.
There are no scalable, productive investments (e.g., factories, real estate) offering attractive returns, as many physical assets trade below replacement cost. This surplus capital, with nowhere to go, is funneled into speculative bubbles like AI, creating a 'fake' economy.
The idea that a billionaire can "spend" their net worth is flawed. Their wealth is primarily in company stock; liquidating it would crash the price and signal a lack of confidence. This misunderstanding of wealth versus income fuels unrealistic proposals for solving global problems.
Ray Dalio argues bubbles burst due to a mechanical liquidity crisis, not just a realization of flawed fundamentals. When asset holders are forced to sell their "wealth" (e.g., stocks) for "money" (cash) simultaneously—for taxes or other needs—the lack of sufficient buyers triggers the collapse.
During the bubble, a lack of profits was paradoxically an advantage for tech stocks. It removed traditional valuation metrics like P/E ratios that would have anchored prices to reality. This "valuation vacuum" allowed investors' imaginations and narratives to drive stock prices to speculative heights.
A market enters a bubble when its price, in real terms, exceeds its long-term trend by two standard deviations. Historically, this signals a period of further gains, but these "in-bubble" profits are almost always given back in the subsequent crash, making it a predictable trap.
Unlike the 2008 crisis, which was concentrated in housing and banking, today's risk is an 'everything bubble.' A decade of cheap money has simultaneously inflated stocks, real estate, crypto, and even collectibles, meaning a collapse would be far broader and more contagious.
A genuine technological wave, like AI, creates rapid wealth, which inherently attracts speculators. Therefore, bubble-like behavior is a predictable side effect of a real revolution, not proof that the underlying technology is fake. The two phenomena come together as a pair.
A market isn't in a bubble just because some assets are expensive. According to Cliff Asness, a true bubble requires two conditions: a large number of stocks are overvalued, and their prices cannot be justified under any reasonable financial model, eliminating plausible high-growth scenarios.
