Why Industrial AI Fails
What the 5% Do Differently, and What They Build First
In 2025, an MIT team reported that roughly 95 percent of enterprise generative-AI initiatives delivered no measurable return. In industrial operations, the reason is rarely the model.
Robert Hylton traces stalled projects back to what was missing underneath them: limits nobody wrote down, one tank with six names, expertise that retired, and alerts nobody trusted. Then he lays out what the other five percent build first.
publisher
Setpoint Press
publication
January 2027
paperback
979-8-9826898-0-1
hardcover
979-8-9826898-1-8
kindle
January 2027
Contents
Eleven chapters. The ones marked in red are where most projects actually break.
- The Pilot Project That Died of Natural Causes
- The Loudest AI in the Room
- How’s It Going?
- The Tyranny of the Report
- One Version of Reality
- The Smartest Person in the Building Just Retired
- Trust Is the Product
- Agents on a Foundation
- What Business Are You In?
- Crossing the Chasm Without a Moonshot
- The Operationally Intelligent Enterprise
