In today’s competitive and technology-driven environment, organizations are increasingly adopting Artificial Intelligence (AI) to improve recruitment and selection processes. This study explores how AI technologies—such as machine learning, natural language processing, chatbots, and predictive analytics—are being applied across various stages of hiring, from resume screening to candidate assessments. While AI promises increased efficiency, reduced time-to-hire, and improved candidate experience, it also raises concerns about fairness, algorithmic bias, data privacy, and the reduction of human interaction in decision-making. The research uses a qualitative approach, including literature reviews, interviews with HR professionals and candidates, surveys, and case studies. It compares AI-driven recruitment with traditional methods, assessing their relative effectiveness and ethical implications. The study aims to provide a balanced perspective on the benefits and limitations of AI in hiring. Findings offer valuable insights and practical recommendations for HR professionals, organizations, and policymakers to ensure responsible and effective use of AI in recruitment practices.
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