Research Aim: This HRM dissertation aims to explore the integration and impact of AI-powered tools in the field of Human Resource Management (HRM), specifically focusing on how these tools streamline and automate tasks traditionally performed by human managers. The research will investigate the efficiency gains, resource optimization, and potential challenges associated with the adoption of AI in HRM. Through a mixed-methods research approach, incorporating case studies, surveys, and interviews with HR professionals, the study seeks to provide a comprehensive understanding of the implications of AI-powered tools in HRM. The research aims to offer practical insights and evidence-based recommendations for organizations looking to leverage AI for more efficient and effective HR management. The research methodology will involve a combination of quantitative data analysis and qualitative assessments to provide a holistic view of the impact of AI on HRM tasks.