In this episode of Shape of Tomorrow, I explore why so many successful organizations still struggle to adapt when disruption begins at the edges. Drawing from ideas in my upcoming book Strategic Surface Area, I walk through three practical actions leaders can take to avoid falling into the innovator’s dilemma and build organizations that are better at detecting signals, protecting experimentation, and responding to change before it is too late.

I also dive into a fascinating new development from Anthropic around AI memory and “dreaming,” and why I believe the future of artificial intelligence may depend less on raw intelligence and more on how systems manage continuity, context, and memory over time. I unpack what happens when AI agents evolve across thousands of interactions and why memory architecture could become one of the most important battlegrounds in AI.