Role of Artificial Intelligent In Recruitment AndTalent Management

Abstract Rapid digital transformation has significantly influenced organizational practices, particularly in the area of Human Resource Management (HRM). Among emerging digital technologies, Artificial Intelligence (AI) has gained considerable importance due to its ability to enhance efficiency, accuracy, and strategic decision-making. Recruitment and talent management, which are critical HR functions, are increasingly being supported by AI-driven tools and analytics. This conceptual study examines the role of Artificial Intelligence in recruitment and talent management and explores how AI is reshaping traditional HR practices. The study is based on secondary data collected from research journals, books, conference papers, and reliable online sources related to AI and HRM. It discusses the application of AI in recruitment through resume screening, applicant tracking systems, recruitment chatbots, candidate matching, and video interview support. Further, the study analyzes the use of AI in talent management activities such as talent identification, performance management, employee engagement, learning and development, and retention and turnover prediction. The paper highlights how AI acts as a strategic decision-support tool rather than a replacement for human judgment. The study also outlines the benefits of AI adoption, including time and cost efficiency, reduced bias, improved quality of hiring, better talent utilization, and data-driven HR decisions. At the same time, it addresses key challenges and ethical concerns such as data privacy, algorithmic bias, lack of transparency, over-reliance on technology, and the skill gap among HR professionals. The study concludes that while Artificial Intelligence offers significant potential to improve recruitment and talent management, its successful implementation depends on ethical use, transparency, and continuous human oversight. Responsible adoption of AI can strengthen HRM practices and support organizational performance in the digital era.