Research-Backed Guide
TOP 10 AI MISTAKES
(AND HOW TO AVOID THEM)
95% of AI projects fail. Here are the most common errors backed by research from MIT, RAND, Gartner, and BCG—and the fixes that put you in the 5% that succeed.
95%95%
of GenAI pilots fail to deliver P&L impact
Why AI Projects Fail
Research from MIT, RAND, Gartner, and BCG reveals a consistent pattern: AI projects fail not because of technology limitations, but because of organizational missteps. Understanding these failure modes is the first step to avoiding them.
The 5% of AI projects that succeed share a common approach: they start with workflows not tools, validate before scaling, and involve their people from day one. These aren't technology problems—they're organizational ones.