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Is Generative AI Failing ? Too Much Noise, Not Enough Value
Why 95% of Generative AI Pilots Don’t Move the Needle And What the Winning 5% Do Differently
Act 1: The Hype Curve Collides with the CFO
It always starts with a spark. The demo leaves the room electric — a GenAI-powered dashboard that writes its own status reports, a chatbot that can untangle your company’s most byzantine policies. The CTO nods, the CEO’s eyes widen, and suddenly the whole room sees tomorrow. This is what the AI revolution was supposed to look like.
Within weeks, pilot projects multiply. Every department wants in. Product managers talk about “10x speed.” HR dreams of AI-powered onboarding. Even the legal team wonders if compliance could be… automated?
But then, as summer turns to winter, the reality sets in. The dashboard still updates, but it’s rarely read. The chatbot? Switched off after a “regrettable” customer incident. Most tellingly, the finance chief stares at a ballooning “AI Infrastructure” bill larger than last year’s marketing budget. Metrics, meanwhile, are flat. The digital future is still mostly… manual.
✍️ Author’s Note
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