Before enterprises can scale AI responsibly, they need something far more foundational than models or tools, they need education. In this episode of The Logic of AI Magic, we unpack why most AI failures aren’t technical at all, but stem from misunderstandings about how these systems actually behave in the real world. We explore the hidden risks behind “just add GenAI,” the brittleness that shows up under operational pressure, and the governance gaps that quietly erode trust long before an automation ever goes live.