Category: Learning Goals

We're surrounded by advice about which AI tools to learn, which prompts to master, and which skills will remain valuable. Those are useful questions, but I think there's a more important one: What kind of learner do I need to become? In my latest Learning Frames article, "AI Doesn't Reward Knowing. It Rewards Learning," I revisit ideas that have shaped my thinking for years: Carol Dweck's work on growth mindset and learning goals, and Judson Brewer's research on curiosity and behavior change. AI gives those ideas new urgency. The tools we're mastering today will change. The workflows will change. The skills organizations value will change. Trying to permanently "know enough" may be the wrong strategy for a world moving this quickly. The third part of the AI Adoption Learning Frame is Stance, which asks: How will I intentionally engage with AI? My answer begins with curiosity. Not resisting every change. Not blindly embracing every new tool. And not using AI merely to appear more productive. Instead, using it as an opportunity to learn, experiment, challenge what we think we know, and continually become more capable. Knowledge matters. But in an age of accelerating change, the ability to keep learning may matter even more.