Reskilling and Upskilling in the Age of Intelligent Automation
Mohan Kumar, Mohit Yadav, Nandan Kumar Jha, Azadeh Amoozegar · IGI Global eBooks · 29 Oct 2026
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This book chapter examines reskilling and upskilling as responses to job displacement from AI and automation, and how employers, educators and policymakers can design workforce training together. It highlights unequal access to training across demographic and socioeconomic groups.
Abstract
The rapid proliferation of intelligent automation technologies - encompassing artificial intelligence (AI), machine learning, and robotic process automation (RPA) - is fundamentally reshaping the global workforce landscape. This chapter examines the critical imperatives of reskilling and upskilling as strategic responses to technological displacement and the evolving demands of the labor market. Drawing on contemporary empirical research and theoretical frameworks, the chapter explores how organizations, educational institutions, and policymakers can collaboratively design and implement effective workforce development interventions. Special attention is given to the role of lifelong learning, digital literacy, and human-centric competencies in sustaining employability. The chapter also addresses equity dimensions, highlighting disparities in access to training opportunities across demographic and socioeconomic groups. Practical models and evidence-based recommendations are provided for building resilient, future-ready workforces capable of thriving alongside intelligent machines.
About this publication
Academic journal. Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.
- Published
- 2026 (recently)
- Citations
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