AI-Driven Workforce Planning: Predictive Models for Future Talent Needs

Abstract: Organizations increasingly deploy artificial intelligence to anticipate workforce requirements, moving beyond reactive headcount management toward predictive talent architecture. This article examines how AI-driven workforce planning systems combine machine learning, organizational data, and external labor market signals to forecast skill gaps, succession risks, and capacity constraints. Drawing on recent empirical studies and practitioner cases across technology, healthcare, and manufacturing sectors, the analysis identifies evidence-based implementation strategies including data…