As AI reshapes how work gets done, organizations increasingly need future leaders who can build trust, elevate teams, and lead through change. Yet most talent pipelines rely heavily on subjective or limited data, overlooking deeper behavioral signals that reveal where leadership potential is emerging. The result is a costly blind spot: leadership gaps that surface too late, even as the talent to fill them already exists inside the organization.

Join KeyAnna Schmiedl, Workhuman’s Chief Human Experience Officer, in conversation with Tara Cooper, Global HR Tech Analyst & Advisor, at Mercer and Lauren Starkand, Head of Talent & Development at Mercer, as they explore the challenges organizations face in identifying future leaders and how a new generation of AI is helping close those gaps. Learn why rich behavioral data from employee recognition provides a stronger picture of how leadership emerges across an organization, and how AI can transform these signals into actionable insights that help HR make more informed talent decisions earlier.

Attendees will learn how to:

• Ways to assess whether your current succession and talent identification processes are rewarding visibility over capability, and which employees are getting missed
• Why behavioral signals like peer-to-peer and cross-functional recognition patterns can help organizations develop a more complete view of emerging talent
• Practical strategies to translate talent signals into a more dynamic pipeline that identifies and develops future leaders before gaps emerge
• New thought leadership, developed in collaboration with Workhuman and grounded in Mercer research, to take back to your team