AI Mania Is Eviscerating Global Decision-Making

The author, drawing on 18 months of sales and hands-on technical work, reports a near-100% failure rate for enterprise AI projects. Internal chatbots go unused because company documentation is poor and LLMs can't access what isn't written down. Customer-facing bots sound natural but silently drop requests—the author never got a callback from Mitsubishi in six months. Management avoids tracking real usage metrics while publicly claiming massive productivity gains. The core problem isn't just AI; most companies are bad at shipping software, and AI projects inherit all those failure modes plus the uncertainty of a novel method.

Why it matters: A counter-narrative essay grounded in firsthand experience — 300 interviews and a 0% success rate, not empty rhetoric. Hits all three HKR axes, but as commentary rather than hard news, it lands in the 78-84 band per policy.