#119 - Cameron Hedrick on How AI Unlocks What Makes Us Human

What happens when the context you're preparing leaders for no longer exists by the time they get there? After seven years as Chief Learning Officer at Citibank building talent systems, Cameron Hedrick sees the cracks in how we predict potential.In this conversation, Cameron reveals why mastery beats potential when everything is constantly emerging, why humans excel at inference with small data while AI needs millions of data points, and how self-knowing becomes the foundation for navigating what's next. He introduces his Prompt to Polymath framework, mapping our journey from basic augmentation to a world where your digital twin pre-flights conversations while you orchestrate outcomes across humans, agents, and proxies. From hiring people with scars to narrating learning in motion, Cameron shares why machines may calculate faster, but they don't rise stronger from failure and why that distinction matters more than ever. If you're still running quarterly talent reviews in static nine-boxes, this conversation will fundamentally challenge how you think about developing capability that endures.HIGH POTENTIAL (for what?!)New MIT Sloan research suggests that AI is more likely to complement, not replace, human workers | MIT Sloan