Glenn Fogel draws parallels between the current AI hype and previous speculative booms like the dot-com era. He predicts that while many AI companies will fail and investors will lose money, the frenzy will also produce companies that create immense, lasting value, following a historical pattern of innovation.

The current AI spending spree by tech giants is historically reminiscent of the railroad and fiber-optic bubbles. These eras saw massive, redundant capital investment based on technological promise, which ultimately led to a crash when it became clear customers weren't willing to pay for the resulting products.

The frenzy in AI investment mirrors past technological revolutions like railways. Following Schumpeter's theory, overinvestment occurs as many firms race for dominance. This leads to a bust where most fail, but the infrastructure they built remains, benefiting society in the long run.

Blinder asserts that while AI is a genuine technological revolution, historical parallels (autos, PCs) show such transformations are always accompanied by speculative bubbles. He argues it would be contrary to history if this wasn't the case, suggesting a major market correction and corporate shakeout is inevitable.

The current AI-driven CapEx cycle is analogous to historical bubbles like the 19th-century railroad buildout and the dot-com boom. These periods of intense capital investment have historically led to major economic downturns and secular bear markets, suggesting a grim multi-year outlook beyond the current cycle.

History shows that revolutionary technologies like AI require massive, often debt-fueled, infrastructure buildouts. The revenue from these technologies frequently lags the debt obligations, causing the first generation of investors to go bust. Real wealth is often captured by later investors who buy in after the initial collapse.

Historical technology cycles suggest that the AI sector will almost certainly face a 'trough of disillusionment.' This occurs when massive capital expenditure fails to produce satisfactory short-term returns or adoption rates, leading to a market correction. The expert would be 'shocked' if this cycle avoided it.

Even if the current AI boom is a bubble that bursts, the outcome is a net positive for society. Like the railroad and dot-com bubbles, massive investment creates infrastructure (data centers, models) that will fuel future innovation for everyone, even if some investors lose money.

The belief that AI will drive massive, uninterrupted economic growth overlooks the historical pattern of tech bubbles. A downturn is likely, and just as in the dot-com crash, many of today's dominant AI companies like OpenAI and Anthropic may not survive, wiping out fortunes built on their perceived permanence.