How Artificial Intelligence is Reshaping Recruitment, Employee Experience, and Talent Management

The accelerating integration of Artificial Intelligence (AI) into Human Resource Management (HRM) marks a paradigm shift in how organizations attract, assess, and develop talent. This paper critically examines the ethical, operational, and strategic implications of AI-driven recruitment systems through an extensive review of empirical and theoretical literature published between 2020 and 2025. Drawing upon Human Capital Theory, Strategic Foresight, and Sociotechnical Systems perspectives, it explores how algorithmic decision-making reshapes notions of fairness, inclusion, and efficiency in hiring. The study identifies two central tensions: while AI enhances precision, speed, and predictive validity in talent acquisition, it also perpetuates algorithmic bias and diminishes human discretion. Recent findings reveal that up to 82% of global enterprises now employ some form of AI-assisted hiring (LinkedIn, Deloitte, IBM, 2024), yet regulatory and ethical frameworks remain inconsistent. The review emphasizes the need for human-AI symbiosis, proposing that future HR effectiveness will depend on cultivating algorithmic literacy, ethical reasoning, and data storytelling among professionals. Strategic Foresight Theory is used to envision potential HR futures, ranging from hybrid intelligence ecosystems to ethically adaptive organizations. Ultimately, this study argues that the future of HR lies not in replacing human judgment but in enhancing it through algorithmic collaboration. It concludes by recommending actionable policies to embed human oversight, strengthen ethical training, and promote transparent AI auditing systems to ensure responsible innovation in digital-era workforce management.