Kadari Jyothi, Katha Shiva Kesava Reddy, T. Meghana 03 09 Artificial Intelligence AI has become a transformative technology in Human Resource Management HRM revolutionizing recruitment and talent acquisition by improving the efficiency accuracy and quality of hiring decisions Organizations are increasingly adopting AIpowered tools such as applicant tracking systems ATS resume screening software chatbots predictive analytics and machine learning algorithms to automate recruitment tasks identify suitable candidates and enhance the overall hiring experience This study examines the role of Artificial Intelligence in recruitment and talent acquisition focusing on its impact on candidate sourcing screening selection recruiter productivity hiring quality and organizational performance The research also explores the benefits and challenges associated with AI adoption including algorithmic bias data privacy ethical concerns and the need for human oversight A descriptive research design was employed using both primary and secondary data Primary data were collected through structured questionnaires administered to HR professionals and employees while secondary data were obtained from academic journals books industry reports and credible online sources The collected data were analyzed using percentage analysis mean analysis and graphical representations to evaluate the effectiveness of AIdriven recruitment practices The findings indicate that AI significantly reduces recruitment time improves candidate matching enhances decisionmaking accuracy and increases recruiter efficiency However successful implementation requires transparent AI systems ethical governance continuous monitoring and the integration of human judgment with AIdriven decision support The study concludes that Artificial Intelligence has the potential to transform recruitment and talent acquisition by enabling organizations to build a more efficient datadriven and strategic hiring process while improving overall organizational competitiveness Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026