Impact of Artificial Intelligence on Talent Acquisition and Recruitment Practices

Artificial Intelligence (AI) has emerged as a transformative force in modern human resource management, particularly in talent acquisition and recruitment practices. Organizations across industries increasingly rely on AI-powered systems to automate candidate sourcing, resume screening, interview scheduling, predictive analytics, and employee assessment processes. This research paper examines the impact of AI on recruitment efficiency, candidate experience, decision-making accuracy, and organizational competitiveness. The study adopts a qualitative and quantitative research approach using secondary data from academic journals, industry reports, and case studies published between 2019 and 2026. The paper analyzes how AI-driven recruitment technologies improve hiring speed, reduce recruitment costs, and enhance talent matching while also exploring ethical concerns such as algorithmic bias, data privacy, and transparency. Findings indicate that AI significantly improves recruitment efficiency and operational productivity; however, overreliance on automated systems may create challenges related to fairness, diversity, and human judgment. The study highlights real-world examples from organizations such as LinkedIn, IBM, Unilever, and Amazon to illustrate practical applications of AI in recruitment. The research concludes that AI should complement rather than replace human recruiters. Strategic integration of AI with ethical governance frameworks and human oversight can create a balanced, efficient, and inclusive recruitment ecosystem. The paper contributes to the growing academic discourse on AI-enabled HRM practices and offers recommendations for organizations, policymakers, and researchers.