Ninety-five percent of AI projects fail. MIT’s Project NANDA has made the number famous, and it now opens countless strategy sessions and keynote addresses. Leaders naturally ask how they can join the 5% that succeed. But that question ignores the real issue, which is that if you scope your project using the wrong objectives, you might build the “right” tools and hit the “right” milestones—but still set yourself up to lose.
