The rapid integration of Artificial Intelligence (AI) into human resource management has redefined traditional recruitment and selection processes, positioning technology as a transformative force in talent acquisition. This paper critically examines the use of AI in recruitment, focusing on its potential to enhance efficiency, reduce hiring costs, and improve candidate-job matching through data-driven insights. AI-driven tools such as applicant tracking systems, chatbots, predictive analytics, and automated video interviews are increasingly replacing or complementing human judgment in the early stages of hiring. While these innovations promise to streamline recruitment cycles and strengthen employer branding, they also raise critical ethical and legal concerns, including algorithmic bias, data privacy, and transparency in decision-making. Drawing on global practices and emerging trends in India, the paper highlights case studies of organizations leveraging AI to optimize recruitment while addressing its limitations. It argues that the future of AI in talent acquisition lies in developing a hybrid model where technology augments human intuition rather than replacing it. The study contributes to the growing discourse on AI in human resource management by offering insights into best practices, challenges, and implications for HR professionals, policymakers, and technology developers.