AI is generating unprecedented excitement and pressure. Boards demand progress, competitors are experimenting, and employees are waiting for direction. Many organizations sit between ambition and action, unsure what AI should achieve or where to begin. This session focuses on what matters most: establishing a clear purpose that links AI to business outcomes and human capability and building the operating model discipline to make it real.

AI adoption is accelerating inside organizations, but workforce readiness is lagging behind. While tools are introduced and pilots launch, many employees are left to interpret what AI means for their roles, how they are expected to use it, and where to focus their effort. The result is uneven adoption, superficial use, and unrealized value — not because people resist AI, but because the human system around it hasn’t been designed to support the change. 

This session focuses on the human transition required to make AI adoption stick. We’ll explore how leaders, managers, and employees each play a critical role in turning AI from an initiative into a sustained way of working. The discussion will examine how clarity, enablement, and reinforcement shape adoption quality, and what organizations must do to build confidence, capability, and ownership across the workforce.