The infusion of Artificial Intelligence (AI) into Human Resources Management (HRM) practices has brought about a paradigm shift in recruitment, performance management, and employee experience. AI-driven tools have expedited candidate selection through data-driven insights, reducing biases and fostering inclusivity. Real-time performance tracking facilitated by AI algorithms has enabled continuous feedback and personalized development plans, nurturing employee growth and engagement. This paper presents a comprehensive analysis of the transformative impact of Artificial Intelligence (AI) on various aspects of Human Resources Management (HRM), focusing specifically on recruitment, performance management, and employee experience. The research methodology employed in this study consists of a mixed-methods approach. Qualitative data was gathered through in-depth interviews with HR professionals from diverse industries to understand their perspectives on AI adoption and its effects on HRM functions. Additionally, quantitative analysis was conducted on organizational data to assess the tangible outcomes of AI implementation in terms of recruitment efficiency, performance enhancement, and overall employee satisfaction. The findings of the study elucidate that AI-driven recruitment tools have significantly expedited candidate selection processes by automating resume screening and matching candidates to job profiles. This has not only reduced human bias but also led to more accurate and informed hiring decisions. In the domain of performance management, the real-time tracking capabilities of AI algorithms have enabled
continuous monitoring, facilitating timely feedback and personalized development plans. The study's implications offer actionable insights for organizations seeking to leverage AI in HR, guiding informed integration strategies, evidence-based decision-making, and the cultivation of an employee-centric approach, while emphasizing ethical considerations and fostering avenues for future research and innovation.