THE IMPACT OF ARTIFICIAL INTELLIGENCE AND AUTOMATION ON HUMAN RESOURCE PRACTICES: A COMPREHENSIVE RESEARCH STUDY ON FUTURE WORKFORCE TRENDS

Abstract

Artificial intelligence (AI) and automation are increasingly reshaping human resource (HR) practices, moving beyond efficiency tools to strategic drivers of organizational change. While much of the literature has focused on private-sector adoption, municipal governments remain underexplored despite their critical role in workforce management. This study investigates how AI is being integrated into local government HR functions, with attention to adoption levels, benefits and challenges, workforce trends, and governance mechanisms. A cross-sectional, mixed-method design was employed, combining a structured survey of HR professionals across 150 municipalities with qualitative case vignettes to provide contextual depth. Results show that payroll (78.0%) and recruitment (71.3%) are the most automated HR functions, while performance management (54.0%) and employee engagement (46.7%) lag behind. Efficiency gains and improved transparency were the most frequently reported benefits, whereas high implementation costs, ethical concerns, and resistance from employees were recurring challenges. Larger municipalities demonstrated significantly higher adoption rates, reflecting the importance of resource capacity, while fewer than half of respondents reported having AI ethics guidelines or oversight structures in place. Workforce-related findings emphasized reskilling, hybrid role redesign, and employee well-being as emerging priorities. These results highlight the opportunities and risks of AI adoption in public HRM and underscore the need for balanced, accountable, and sustainable strategies.