AI is moving fast enough to make even the savviest CMO feel one tool, one workflow, and one “wait, you can do that now?” behind.
The easy move is to delegate it. Let the eager people experiment. Let the technical folks wire things together. Let the team come back with something impressive enough to call progress. If that sounds like a plan, François Dufour would like a word.
In this episode, we replay a conversation with Drew and François from April 2026 about what it takes to become an AI-augmented CMO. François makes the case that leaders need enough hands-on fluency to build, test, learn, and model the behavior they expect from their teams. Together, they push past one-off experiments and tool demos toward a more durable rhythm of teams building together, champions sharing what works, system thinkers connecting the dots, and workflows that create leverage beyond a few saved minutes.
What You’ll Learn:
- Why AI adoption needs repeated build time, not one-and-done training
- How to spot the champions and system thinkers who can move the team faster
- What context AI needs before agents and workflows become useful
- How to make AI progress visible without rewarding random activity
You’ll also hear how François used AI to manage context across clients, analyze positioning and narrative, build better customer-facing tools, and help teams see the art of the possible.
Tune in to learn how AI-augmented CMOs can lead the work personally, make adoption stick across the team, and turn experimentation into leverage the business can feel.