Shape of Tomorrow

Episode 183 - Designing What’s Next, Rewiring Work, and Apple’s Innovation Crossroads

37 min · 1. maj 2026
episode Episode 183 - Designing What’s Next, Rewiring Work, and Apple’s Innovation Crossroads cover

Beskrivelse

In this episode, I explore three timely and thought-provoking topics shaping how we think about the future of work, education, and innovation. I begin with entrepreneurship in schools, unpacking why there is strong agreement on its importance, yet so many programs struggle to take hold. The real challenge is not belief. It is design. Next, I examine Amazon’s recent hiring and layoffs, and what it reveals about how organizations are redefining talent in an AI-driven world. This is not contraction. It is a shift toward a different kind of workforce. Finally, I take a closer look at Apple through the lens of the innovator’s dilemma, exploring what happens when a company known for disruption must confront the risk of disrupting itself. Three distinct conversations, each offering insight into how change is unfolding across institutions and industries.

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Alle episoder

188 episoder

episode Episode 188 - Smarter AI, Smarter Growth cover

Episode 188 - Smarter AI, Smarter Growth

This week on Shape of Tomorrow, I take a closer look at two topics that have been occupying my thinking. First, I unpack the latest advances from OpenAI, Anthropic, and Google. While much of the conversation around AI focuses on benchmarks and model comparisons, I believe the more important story is the emergence of systems that can plan, coordinate, monitor, and execute increasingly complex work. We are moving beyond AI as a tool that simply responds to prompts and toward AI that can actively participate in getting work done. I explore what these developments mean and why I think many leaders still underestimate the significance of what is unfolding. In the second segment, I respond to a thoughtful question from a reader about revenue diversification. How do you create new revenue streams without diluting your core offering or confusing the market about who you are? I share some of the principles I use when evaluating growth opportunities and explain why the most successful diversification strategies tend to build on existing strengths rather than moving away from them. Two very different topics, but both are highly relevant for leaders trying to navigate uncertainty, make better decisions, and position their organizations for the future.

5. juni 202637 min
episode Episode 185 - Building an AI Roadmap When Budgets Are Tight cover

Episode 185 - Building an AI Roadmap When Budgets Are Tight

In Episode 185 of Shape of Tomorrow, I explore the growing disconnect between the AI conversations happening at conferences and the realities organizations are facing inside boardrooms and budget meetings. I break down how I think leaders should approach AI roadmaps when budgets are constrained, pressure is high, and credibility matters more than hype. I walk through a practical framework focused on small, measurable experiments that can prove value within 90 days, rather than massive multi-year transformation initiatives. Along the way, I discuss KPI-driven thinking, sponsorship, data readiness, pilot design, and how organizations can build long-term AI capability through disciplined experimentation and strategic focus.

15. maj 202628 min
episode Episode 184 - Why Successful Organizations Still Miss the Future cover

Episode 184 - Why Successful Organizations Still Miss the Future

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.

8. maj 202631 min