Beyond Adoption: Building AI Judgment in the Flow of Work

Most enterprises can tell you whether their people use AI — but not whether their people are getting any better at it. That gap matters more than it sounds: recent field studies show that fast adoption can quietly erode the human skill underneath, producing more errors on the tasks where models are weakest and measurable skill decay once the AI is taken away. This talk explores how the real enterprise unlock isn't more adoption — it's AI judgment: knowing when to trust the model, when to override it, and when to think unaided. I will discuss why that judgment is best built during real work rather than in standalone courses, and why it should be measured rather than assumed. Attendees will leave with a practical framework for developing AI competence in the flow of work, along with the signals that distinguish a team that's genuinely improving from one that's merely adopting — or worse, deskilling the very capabilities enterprises are trying to grow.