What We Got Right and What We Didn't

​Most end-of-year conversations about AI sound like highlights reels. This one is different. This session asks the harder questions built from the full AI@Work series: What did your organization actually do this year around AI in HR? Where did governance hold, and where did it collapse under pressure?

​Did your bias audit turn into action or a document that lives in a folder? Did you lead your employees through AI change, or manage around them? And what's coming next: agentic AI, AI in workforce planning, AI-generated performance narratives that you're not yet ready for?

​This capstone brings back leaders from across the series for a genuine lessons-learned, surfaces what the field has gotten consistently wrong, and looks honestly at where AI in HR is heading in the next 18–24 months.

​LEARNING OBJECTIVES

​By the end of this session, participants will be able to:

• ​Reflect on their own organization's AI journey over the past year and identify at least two areas of genuine progress and two persistent gaps.

• ​Synthesize lessons from all four sessions and connect them to their organization's current state using the tools built across the series.

• ​Evaluate emerging AI developments:  agentic AI, synthetic employees, AI in workforce planning and identify which carry the most risk and opportunity for HR.

• ​Articulate a personal and organizational commitment to responsible AI in HR that is specific, measurable, and owned.