Digital Shifts in Human Resource Management; Artificial Intelligence Tools in Workforce Strategies in Government Agencies

Abstract

This study examines the integration of artificial intelligence (AI) in Human Resource Management (HRM) within government agencies and its impact on workforce strategies in the digital era. The study highlights how AI-driven tools improve recruitment, employee training, performance management, and administrative efficiency through data-driven decision-making and automation. Despite the growing adoption of digital HRM systems such as e-recruitment platforms, digital attendance tracking, and AI-assisted analytics, the implementation of advanced AI applications in the public sector remains limited due to policy restrictions, budget constraints, and traditional organizational practices. The study also identifies key challenges associated with digital transformation, including employee resistance to change, concerns regarding data privacy and job displacement, and limited technical expertise in operating AI systems. The findings suggest that AI-driven HRM has the potential to modernize government workforce strategies by reducing administrative workload, enhancing decision-making, and promoting employee development. Ultimately, the study concludes that effective AI integration can contribute to a more efficient, transparent, and future-ready public service system while addressing the ethical and operational challenges of digital transformation.