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The Future of AI in Talent Management
Abstract
This chapter examines the transformative role of Artificial Intelligence (AI) in talent management (TM), demonstrating how advanced algorithms optimize recruitment, workforce planning, and employee development. Drawing on a conceptual framework that integrates efficiency, equity, trust, and organizational culture, it synthesizes empirical findings on a 35% reduction in time-to-hire and a 68% increase in workforce diversity while also addressing algorithmic bias and privacy concerns. Through case studies (Unilever, Siemens, Google, Samsung) and theoretical perspectives (RBV, TAM, Equity Theory, Social Learning, STS), the chapter identifies both operational gains and ethical risks. Meta-analytic evidence and cross-case analyses reveal that robust governance mechanisms and cultural alignment are critical mediators of fair and effective AI adoption. Practical recommendations guide HR professionals and policymakers in implementing transparent audits, regionally adapted strategies, and upskilling initiatives to harness AI's strategic potential across global contexts.
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