In this episode of the Humans Plus AI podcast, Ross Dawson speaks with Matt Beane, author of The Skill Code, about how artificial intelligence is disrupting traditional paths to skill development. Beane shares insights from over a decade of research, revealing that true skill-building doesn't come from formal training alone, but from solving complex problems with expert support. He introduces the “Three Cs” framework—Challenge, Complexity, and Connection—as essential conditions for meaningful learning at work. As AI systems increasingly enable experts to work independently, junior professionals are often cut out of critical learning opportunities, threatening long-term talent pipelines.

The conversation explores innovative strategies to reverse this trend, such as “inverted apprenticeships” and AI-assisted workflows that still involve and upskill junior team members. Beane highlights real-world examples from fields like surgery, software development, and investment banking, illustrating how organizations can re-engineer work to preserve learning while boosting productivity. He urges leaders to demand more from AI vendors—specifically tools that enhance user skill over time—and warns of the long-term cost of neglecting employee growth. This is a must-listen for anyone focused on the future of work, talent development, and human-AI collaboration.