AI in Performance Management: Redefining Goals, Rewards, and Results - Performance Management Exchange

Performance management is being rewritten in real time. AI is no longer an adjacent capability; it is being woven directly into how goals are set, how performance is assessed in the moment and at year-end, and how “high performance” itself is defined. Leaders are navigating a fast-moving set of design choices with significant downstream implications for talent, rewards, and culture, from whether AI fluency is treated as a non-negotiable for employment, to how AI transformation shows up inside bonus structures and ratings, to what “the bar” looks like now that analog ways of working no longer qualify as high performance. 
 
Together, we’ll explore: 

• How AI is being built into performance management, from goal setting and real-time assessment to year-end decisions   
• How AI is redefining the definition of high performance and leader expectations 
• The design choices senior leaders are grappling with, including company-wide AI goals versus individual AI objective 
• What AI means for rewards, consequences, and skills, including how bonuses, incentives, and development pathways are being reshaped 

Join in and learn directly from i4cp peers. You’ll be able to pressure-test your approach, exchange insights in real time, and leave with practical actions grounded not only in research, but in lived implementation experience.