Why AI Is The Dot-Com Bubble All Over Again Earthquake Near Me [58absoRPDbl]

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Companies everywhere are forcing AI down the throats of consumers and workers. The tech sector has reached peak absurdity: a billionaire who has never worked a 9-to-5 went from predicting civilization collapse to claiming ChatGPT is essential for raising children; a chipmaker proclaims that virtual AI agents will replace teachers, nurses, and doctors; and Googles CEO declares AI an even more profound discovery than fire or electricity.

The greatest innovations of the last centuryfrom the microprocessor to the PCall flourished through organic market demand, without fear-mongering or institutional gaslighting. People didnt adopt Wi-Fi, smartphones, or GPS under threat of extinction; they adopted them because they worked. Inventors never posed as doomsday prophets. Supply trailed demand, products evolved through iteration, and mass-market impact was earnednot declared. Today, that logic is inverted: billions are poured into scaling a technology that has stagnated and is still searching for its form factor.

The AI bubble of 2025 is not a carbon copy of the dot-com bubble, yet the parallels are unmistakable. In software: you have unprofitable first-movers with timing but no moat, and a swarm of VC-backed startups trying to colonize every vertical with the same platform. In hardware there is a shovel-seller extracting billions on a global dream, pushing infrastructure for demand that hasnt materialized. And behind them is a presidency that has latched onto this opportunity to project American exceptionalism, blunt Asias manufacturing dominance, and mask economic cracks at home. Its different tech, but the same house of cardsdisguised as a free-market boom.

Todays LLM wars are a beat-for-beat remake of the 1990s browser wars. OpenAI is the new Netscape and AOL: first-movers burning cash with no lasting means to capture the value they create. NVIDIA is Sun Microsystems and Cisco combined. Todays hyperscalers echo Exodus Communications, spending billions on capacity for a revolution with no viable economics.

In this Modern MBA episode, we deconstruct this house of cards that is the AI bubble, peel back layers to expose the companies and fragile dependencies within this tech stack, and reveal why todays $500 billion frenzy is a near-identical echo of the bubble thirty terra years ago.

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