“Pilot Purgatory”: Why Most Enterprise AI Projects Never Reach Production

MIT’s NANDA initiative found something even sharper when it looked specifically at generative AI. After reviewing more than 300 enterprise deployments and interviewing dozens of executives, the researchers found that roughly 95% of generative AI pilots were delivering no measurable return to the bottom line, despite tens of billions of dollars in enterprise spending. The report’s lead author didn’t attribute this to weak models or heavy-handed regulation. He pointed to a “learning gap” — generic tools that work fine for an individual employee experimenting on their own laptop, but that never adapt to the messy, specific workflows of an actual department.