The AI bubble could be worse than the dot-com bust

A growing chorus of analysts are beginning to question the sustainability of current market valuations, arguing that a reality check may be overdue.

Concerns about speculative excess have grown amid heightened enthusiasm, and potential risks, surrounding the SpaceX IPO, where an initial offering price of $135 per share valued the Elon Musk-led company at over $1.75 trillion, as well as the forthcoming mega-IPOs of two leading AI firms, Anthropic and OpenAI.

Analyst forecasts indicate that Alphabet, Amazon, Meta Platforms, Microsoft, and Oracle (the so-called hyperscalers) will spend around $755 billion on AI-related capital expenditures in 2026. So far this year, strong earnings growth has provided the impetus for the parabolic spike in some stock prices.

However, extrapolating from recent robust growth in semiconductor and memory chip revenues and expecting sustained long-term outperformance is risky, as it relies on the uncertain assumption that the current boom in AI infrastructure spending will continue unabated. Major hyperscalers are already resorting to additional debt and equity financing to support their elevated capital expenditures, since even their substantial free cash flow is becoming insufficient to fund the escalating investments needed for AI infrastructure.

The current stock market boom and the American economic performance is being fueled by a self-reinforcing cycle. Gains in a handful of AI-focused stocks are enabling major tech firms to invest heavily in the infrastructure that investors expect will drive future growth. This spending boosts GDP both directly, through massive capital investment, and indirectly, through the increased purchasing power of the wealthiest individuals.

But with both the broader economy and the ongoing bull market relying heavily on a concentrated AI-driven........

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