The AI boom feels like scrolling through a dating app gone wild. Every startup serves up a sleek deck, promising love‑like efficiency, while users swipe right on glossy demos. Beneath the surface, most projects lack real depth, leaving investors and engineers drowning in endless possibilities.
Companies soon discover the pilot purgatory—endless beta cycles that never graduate. A promising AI model may spend months in internal tests, juggling data quirks and compliance hurdles. Once a demo impresses, real‑world integration stalls, creating a limbo where talent is stretched thin and capital leaks away and morale suffers and team burnout.
The parallels to the dot‑com era are unmistakable, yet today’s AI rush feels more hazardous. Back then, many startups sold empty promises, but the technology itself was nascent. Now, AI’s perceived omnipotence fuels a reckless frenzy, inflating valuations on hype rather than usable products, threatening a steeper bust. to investors and the economy.
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