What If With Leslie Grandy
What if the real advantage in the age of AI isn't getting answers faster—but knowing which questions are worth asking? In this episode of What If?, Leslie Grandy sits down with Prapti Jha, design thinking and innovation consultant, co-founder of We Speak Innovation, and former design thinking catalyst at Ford Motor Company, to explore what happens when AI enters the world of human-centered design. On the surface, AI looks like a powerful accelerator. It can synthesize research, generate personas, benchmark competitors, summarize markets, and prototype ideas at a speed that once seemed impossible. But speed is not the same as insight. And efficiency is not the same as understanding. Together, Leslie and Prapti explore: * Why human-centered design depends on real observation, context, and ambiguity * How AI can support innovation without replacing the discipline of understanding real human behavior * Why AI-generated personas are useful but dangerous when mistaken for actual human insight * What organizations lose when they compress time for exploration and questioning * Why innovation labs often fail when they are isolated from the rest of the organization * How embedding "innovation catalysts" across teams can shift culture more effectively than separating innovation into a protected lab * Why the skills once called "soft" are becoming the hardest and most important capabilities in the age of AI * How organizations can assess AI maturity by asking employees what problems they are solving or what opportunities they are creating with AI Prapti also introduces the idea that AI maturity is cultural, not just technical. Immature organizations use AI primarily to move faster. More mature organizations use AI as a collaborator—one that helps people challenge assumptions, surface contradictions, and make better decisions. That distinction matters. Because bad processes plus AI do not create innovation. They create faster bad outcomes. This conversation is a reminder that the human role in innovation is not disappearing. It is becoming more essential. AI can support research, synthesis, prototyping, and decision-making, but it cannot fully capture context, emotion, irrational behavior, or lived experience. Human-centered design still begins with humans. And in an AI-accelerated world, the advantage belongs to organizations that protect the time, curiosity, and courage required to ask whether the answer they received is actually the right one. Reflection question: Are you using AI to get to answers faster—or to ask better questions about what truly matters?
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