Strategic Reskilling and Upskilling for Public Sector Workforce Transformation in the Era of Artificial Intelligence and Policy Reforms
Year: 2026
Type: article
Abstract: In this work, the rapid development of artificial intelligence (AI) and digital governance shows the significantly changing the nature of work in the public sector and the consequent workforce requirements. The purpose of this study is to assess the need for upskilling and reskilling the public sector workforce in relation to AI-based digital governance systems. The conceptual research methodology is used, and this research is based on a thorough review of existing literature. The key areas are identified, which include digital literacy, data analysis, AI literacy, cybersecurity, and problem-solving skills. This conceptual framework shows to present and explain the relationship between technological drivers, policy reforms, and workforce capability building, with a particular focus on skill gap analysis, training programs, and digital learning tools. The researcher's findings suggest that digitalization in public sector governance is beneficial in terms of increased efficiency and delivery, but there are still issues, such as skill gaps, change management, and infrastructure, which are significant challenges in this regard.
Authors: Kamble, Kashyap, Sagar Nimbalkar
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7152122415