Humans + AI is a long-form interview show about what happens when artificial intelligence becomes part of human thinking, organizational judgment, and social design. It approaches AI as augmentation first. The conversations are less interested in novelty for its own sake than in the structures that let people use new capabilities well. That makes the show unusually comfortable with both strategy language and philosophical unease. Episodes move from practical frameworks into wider questions about agency, autonomy, culture, accountability, and trust. A discussion of cognitive levers can become a tour of mental models, combinatorial thinking, and software-assisted sense-making. A conversation about artificial humanities can shift the frame from efficiency to archetypes, metaphors, and the stories people use to understand machines. Governance is a recurring center of gravity. The show spends real time on decision architectures, accountability pathways, risk, ethics, and the behavioral work of organizational transformation. Strategy is another steady thread, especially where AI changes foresight, startup evaluation, and the way leaders represent a plan across a company. Hybrid intelligence gives the show its most distinctive shape. Human-AI teams are treated as systems with norms, roles, autonomy, shared objectives, and uneven responsibility, not as simple tool-use stories. The show also explores agentic systems, intelligent delegation, and the need for continuous reassessment when AI agents take on pieces of decision-making. Some episodes broaden further into biophysical data, resilient learning, human evolution, prosocial AI, return on values, and AI for inspired action. The pace is measured. The host questions tend to synthesize before they extend, turning abstract ideas into workable distinctions. Listeners should expect thoughtful guests, long answers, and careful reframing rather than quick headlines. Humans + AI is strongest when it holds two ideas together: AI can expand human capability, and that expansion still needs judgment, oversight, and values.