Overview

The End of the AI Boom A provocative postmortem on the greatest technology mania since the dot-com era.For years, the world believed AI would rewrite the laws of economics. Investors poured trillions into datacenters, GPUs, and startups with no defensible business models. Companies slapped ""AI-powered"" onto every product imaginable. Governments raced to secure compute like nations once raced for oil. Venture capitalists funded wrappers built on top of other companies' models and called them revolutions. Then reality arrived. GPU shortages became GPU gluts. Inference became cheap. Open source caught up. Margins collapsed. And the market discovered a brutal truth: transformative technology does not guarantee transformative profits. In The End of the AI Boom, the rise and unraveling of the artificial intelligence frenzy is examined through the lens of history, economics, infrastructure, and technological cycles. Drawing parallels to the dot-com crash, telecom overbuild, railroad bubbles, and cloud commoditization, the book argues that AI was always destined to survive - but much of the speculative empire built around it was not. Inside the book: Why GPU overcapacity became inevitable How wrapper companies vanished almost overnight Why NVIDIA became the next Intel How OpenAI evolved from myth to infrastructure Why AI first became expensive - then shockingly cheap How the world confused scarcity with defensibility And why the technologies that truly change civilization eventually become invisible This is not an anti-AI book. It is a book about what happens after the hype dies. Sharp, analytical, and deeply relevant, The End of the AI Boom is for readers of: The Big Short The Innovator's Dilemma Dot.Con and anyone who has ever wondered whether the AI economy was built on innovation, panic, or both. Because every technological revolution creates two things: a future that survives, and a bubble that doesn't.

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