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AI continues to gain traction in talent management, yet many organizations are still in the early stages of adoption. A recent Deloitte focus group of 38 senior executives from large U.S. financial services firms—primarily Talent leaders—highlighted AI’s potential impact on performance management, career development, succession planning, and employee flight risk. Flight risk, in particular, is a growing focus as firms shift from reactive to proactive retention strategies. AI enables a push analytics approach, detecting early signs of disengagement and burnout before employees leave. Participants noted that organizations often invest heavily in well-being programs without fully understanding burnout’s root causes. AI can analyze job satisfaction, engagement scores, absenteeism, and performance trends to uncover patterns linked to turnover, burnout, etc— assigning flight risk scores to flag at-risk employees. The report provides an example of an AI model integrating multiple data sources to identify burnout risks, enabling targeted, data-driven actions to mitigate unwanted turnover. While predictive analytics for employee turnover aren’t new, AI advancements make them more powerful and precise. Though the article focuses on financial services, its insights are industry-agnostic, offering valuable takeaways for any organization looking to enhance talent management with AI.