The article explores the theoretical implications of integrating artificial intelligence (AI) into human resource management (HRM) and proposes a framework outlining potential transformations in HR practices. It examines how AI can enhance efficiency, decision-making, and organizational performance by analyzing traditional HR functions through a theoretical lens. Using a literature review and theoretical analysis, the study delves into AI applications in recruitment, employee engagement, performance management, and training. Ethical concerns such as bias, fairness, and data privacy are also addressed, emphasizing the need for balanced integration. The proposed framework highlights key components and relationships in AI-enhanced HRM, providing a structured understanding of the subject. By synthesizing existing research, the study identifies theoretical constructs and challenges linked to AI in HRM. It serves as a guide for future empirical research and practical applications, emphasizing that AI should complement human decision-making rather than replace it. The article contributes to both academic discourse and practical insights for HR professionals, fostering evidence-based adoption of AI technologies while addressing ethical and organizational concerns.