AI is transforming organizations, and learning leaders have a unique opportunity to lead the way. But AI adoption brings challenges like resistance, fear of job displacement, and skill gaps that can derail success. This session equips you with targeted change management strategies designed to address these challenges and measure AI’s impact effectively. You’ll learn how to adapt proven change management models, such as Kotter’s and ADKAR, to support AI adoption while addressing resistance. We’ll explore how to foster cross-departmental collaboration, identify AI champions, and most critically establish key metrics to measure success. These metrics will balance technological adoption with human development and ethical outcomes. Through real-world case studies, discussions, and actionable examples, you will leave equipped to guide your teams through AI transformation.
In this session you will learn:
- How to adapt proven change management models (such as Kotter’s and ADKAR) to drive successful AI adoption within L&D teams.
- Strategies for addressing AI-specific fears, skill gaps, and resistance through targeted communication and training.
- The critical role learning leaders play as AI change agents, driving collaboration between departments and fostering AI champions.
- Key metrics to measure the success of AI integration, balancing technological adoption with human development and ethical considerations.
