Sam Arbesman hosted a conversation with an expert on scenario planning and AI on the Orthogonal Bet podcast. The guest shared insights about Deep Future, an AI engine designed to test strategies against various simulated futures. This approach helps organizations prepare for different potential outcomes, making strategic planning more robust. The discussion highlighted key concepts in scenario planning, emphasizing the distinction between risk and uncertainty. Holding multiple potential futures in view can enhance decision-making. The guest also explored how AI can refine strategic thinking, making it more adaptable in the face of unpredictable developments. Arbesman, who is a Scientist in Residence at Lux and a research fellow at the Long Now Foundation, provided a thoughtful backdrop for the conversation. The podcast episode is available on major platforms like YouTube, Spotify, and Apple Podcasts, making it accessible for those interested in the intersection of AI and strategic foresight.