March 25 | 11am - 12pm PT or 2pm - 3pm ET 

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. 

You’ll walk away with:  

• A practical framework outlining the three critical layers of AI adoption and how they work together. 

• Clear guidance on the role leaders play in setting direction and expectations for AI-enabled work. 

• Concrete actions managers can take to translate strategy into daily behaviors and enable experimentation and learning. 

• Examples of how organizations can involve employees in shaping AI use cases and building ownership in practice. 

• Strategies to reinforce progress, build capability, and sustain new ways of working.