Is AI's rapid rise another dot-com bubble—or something different?

The rapid expansion of artificial intelligence has drawn comparisons to the late 1990s dot-com boom. Some analysts warn of speculative excess, while others remain confident in AI's long-term growth. Unlike the fiber-optic cable overbuild of that era, today's AI development faces real-world limits like power shortages, data centre shortages, and labour constraints.

Many pundits see parallels between the current AI frenzy and the late '90s internet stock mania. Retail investors have flooded into AI-related stocks, mirroring the dot-com rush. Yet key differences exist: hyperscalers now fund AI expansion with cash reserves rather than debt, reducing financial risk.

Analysts like JPMorgan's Susan Bao argue that this isn't a bubble. While she acknowledges some 'irrational exuberance,' she notes that institutional investors continue backing AI despite using hedging strategies. Their ongoing support suggests confidence in the sector's future. The AI buildout also faces tangible challenges absent in the dot-com era. Power supply bottlenecks, delays in data centre construction, and skilled labour shortages slow progress. These constraints contrast sharply with the over-speculation in fiber-optic infrastructure that later collapsed. Portfolios, including those in publications like the *Cabot Turnaround Letter*, now heavily feature AI investments. Unlike the dot-com crash, however, today's backers appear more cautious, balancing optimism with risk management.

The AI sector shows both speculative energy and measured institutional backing. Real-world constraints may prevent the kind of sudden collapse seen in 2000. For now, investors seem prepared to navigate volatility while betting on AI's long-term role in technology and markets.