Some of the investment in AI is likely a bubble—speculative money chasing projected returns that may never materialize. But the underlying technology is real and transformative, unlike most bubble assets.
The nuance
The hallmarks of a financial bubble are present: massive capital inflows, sky-high valuations based on future potential rather than current revenue, widespread “this time is different” narratives, and companies pivoting to “AI” the way they once pivoted to “blockchain” or “cloud.” History suggests some kind of correction is likely.
But comparing AI to the dot-com bubble is more instructive than comparing it to tulips. The internet was genuinely transformative—even though many dot-com companies went bankrupt. After the correction, the survivors (Amazon, Google) became the most valuable companies in history. AI will likely follow a similar pattern: a correction that punishes speculative bets while the genuinely useful applications grow.
The key question isn’t whether AI is a bubble but whether individual companies and use cases will deliver on their promises. Generative AI that saves companies real money on real tasks will survive any correction. AI startups burning cash on vague “AI for everything” visions may not. The technology is real. The valuations may not be.
Key takeaway
The AI investment cycle has bubble characteristics, but the underlying technology is real. Expect a correction that separates substance from speculation.
For a deeper framework on what makes humans irreplaceable in the age of AI, read The Last Skill: What AI Will Never Own by Juan C. Guerrero.
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