At this point, you've learned to work with generative AI. You write a prompt, read what comes back, refine, and go again. Agentic AI harnesses like Claude Code, Copilot Cowork, and OpenAI Codex,  breaks that rhythm. An AI model acting as an agent doesn't wait for your next instruction. The AI model plans, acts, and carries multi-step, complex work to completion while you look on. That changes how tasks are completed: less typing, more scoping. Less doing, more deciding what to hand off to AI in the first place.

In this webinar, you'll see what truly separates generative AI from agentic, and why that difference changes how you design learning and performance experiences. We'll decompose an L&D workflow into tasks, and understand what remains human, what goes to the machine, and what you collaborate on. You'll leave with a decision scale you can use whether you're building a course, leading a team, or rethinking a workflow.

Josh Cavalier is Co-Founder and Chief Experience Officer of Talent Rewire, where he leads how organizations experience AI-driven workforce transformation, from role impact analysis to reskilling pathways that keep people in the organization. With more than 30 years in learning and development, he is the author of Applying AI in Learning & Development: From Platforms to Performance (ATD Press) and designer of ATD's Applying AI in L&D Certificate Program.