We are the last generation to lead human-only organizations. The rise of agentic AI—autonomous systems capable of making decisions, learning independently, and collaborating with other agents—demands a profound shift in how we manage, govern, and grow our workforce. As enterprises accelerate AI adoption, we are entering uncharted territory where humans will no longer be the sole decision-makers, creators, or collaborators. This session explores the critical new skills and organizational capabilities needed to safely deploy, oversee, and scale hybrid human/agentic AI systems. We will examine how emerging regulations are reshaping expectations for transparency, explainability, and ethical alignment. But governance alone is not enough. Human teams must develop new roles—AI risk stewards, model behavior auditors, and cognitive ethicists—to ensure these agents operate without bias, hallucination, or unintended escalation. To meet this challenge, we must also define new career paths that grow the skills needed to lead hybrid teams and rethink early career roles that can serve as feeders into AI governance and oversight disciplines. In a future where machines continuously learn and evolve, leadership must be redefined for the age of intelligent agents.