Data-driven, personalized talent experience and workforce planningFocus 5 AI turns workforce planning into a dynamic capability system that aligns skills, capacity and AI support with demand. Talent strategy spans how organizations attract, develop, deploy and retain their workforce. A holistic, personalized talent experience reduces time-to-staff, accelerates time-to-skill and improves retention by making growth and mobility more transparent. AI enables near real-time skills mapping, opportunity matching, personalized learning and early risk detection – shifting talent management from discrete HR processes to a continuous, adaptive system. AI-driven transformation of talent experience and workforce planning TABLE 5 –Optimize workforce deployment and skills matching by aligning people to work based on inferred capabilities rather than job titles. Approximate 30% reduction in time to fill roles;36 21% increase in the quality of recruits371 From fixed job titles to capabilities that can be built and redeployed: Shift from static roles to dynamic capability frameworks that identify, build and redeploy skills in real time as strategic needs evolve. –Expand workforce capacity and productivity by augmenting human expertise with AI agents. 4 times faster skill deployment;38 Approximate 33% increase in worker productivity with each hour of AI use392 From periodic, static workforce data to AI-generated talent intelligence: Use AI to synthesize skills data, performance and workforce patterns into continuous talent intelligence that reveals capability, gaps and internal mobility resources. –Reduce bias and increase fairness in hiring and promotions by making growth, mobility and contribution more visible and continuous. Increase diversity of hire by 21%403 From layered organizational structures to flatter, human-led teams supported by agents:43,44 Workforce models are evolving into flatter, cross-functional teams where human expertise leads, supported by embedded AI agents and fewer layers of oversight. 4 From fragmented learning to continuous upskilling, reskilling and adaptive retention:45 Embed AI-enabled, personalized learning into daily work to support ongoing capability development and proactive retention. –Improve retention and employee engagement by identifying early signals of disengagement, burnout or attrition risk and acting proactively. 21% boost in talent retention;41 5 times higher workforce engagement42 At a glance Ambition: opportunities to capture Action: how organizations are changing Recruitment and selectionPerformance and enablementEvaluation and adaptationPlanning Organizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 30

Organizational Transformation in the Age of AI How Organizations Maximize AI%27s Potential 2026