"Most AI projects fail - and not for the reasons you think.”

In this episode of Commit & Push, Damien sits down with Dan Saffer, Associate Director at CMU’s Human-Computer Interaction Institute, to unpack why so many AI initiatives crash and burn before they ever ship.

From busted data pipelines to overengineered use cases, Dan breaks down the five common traps behind failed AI efforts—and what it actually takes to build something useful. They also dig into explainability myths, the limits of chatbot UX, and how AI is accelerating the enshittification of your favorite platforms.

If you’re working with AI—or even thinking about it—this one’s a reality check worth hearing.