Contrary to the belief that bubbles are based on hype, Gurley asserts they are a byproduct of a real technological breakthrough. The initial, genuine value attracts talent and capital, which then draws in speculators and 'fools' who create the bubble. The underlying technology's reality is the catalyst.

Citing theorist Carlotta Perez, Gurley argues that only genuinely transformative technologies create bubbles. The rapid wealth creation from the real innovation attracts speculators and charlatans, which inflates the bubble. Therefore, a bubble is evidence of a real shift, not a sign the technology is fake.

Former RBI Governor Raghuram Rajan points to a historical pattern preceding every major financial crisis: a U-shape in monetary policy. An extended period of easy money builds up risk, and the subsequent tightening phase triggers the collapse. This framework helps identify periods of heightened systemic vulnerability.

Unlike past bubbles driven purely by market mania, the current AI boom is sustained by supportive fiscal and monetary policy. This makes it more resilient and dependent on policy shifts, rather than just market sentiment, for a correction.

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.

A recurring theme in every historical market bubble is the belief that current events are unique, justifying inflated valuations and risky investments. Recognizing this narrative is a key behavioral signal for investors to exercise caution.

To understand any market or economic event, view it through the lens of five major forces: 1) the debt/money cycle, 2) internal political order/disorder, 3) the international world order, 4) acts of nature/climate, and 5) technology. Their convergence often creates a "perfect storm."

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.

Market bubbles follow a predictable five-stage pattern identified by Charles Kindleberger: a 'displacement' event creates excitement, followed by 'over-trading' and 'monetary expansion.' The bubble eventually pops during the 'revulsion' phase and ends in 'discredit.'