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Investing in People, Managing the Change: A Cost-Benefit and Change-Management Perspective on AI-Era Reskilling in the Indian BFSI Sector
Dr. Daksha Pathak, Dr. Vijay Mohan Vyas
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Abstract: In the Indian banking, financial services, and insurance (BFSI) industry, reskilling has become a key organizational response to AI-driven change. However, a large portion of the literature currently in publication treats reskilling primarily as a Human Resource Management (HRM) or skills-taxonomy issue, leaving two practically important aspects relatively unexplored: whether reskilling investment can be justified and quantified in monetary terms, and why employes oppose the very programs intended to assist them in adapting. In addition to empirical data on employe resistance to AI adoption in banking from India and similar South Asian contexts, this paper conducts a conceptual review based on human capital theory, established training-evaluation frameworks (Kirkpatrick's four levels and Phillips' Return- on-Investment extension), organizational change theory (Lewin's unfreezing-changing-refreezing model and Kotter's eight-step model), and job insecurity theory.The review discovers that although resistance-driven non-adoption is a major reason why reskilling investment fails to produce quantifiable results, change-management execution and reskilling investment decisions are usually examined separately. For Indian BFSI businesses, the report suggests an integrated "Invest–Engage–Institutionalize" (IEI) methodology that combines capability embedding, resistance-focused change management, and financial planning into a single implementation sequence. The results imply that a more practical foundation for planning and assessing reskilling investment in AI-enabled banking is provided by considering the economics and psychology of reskilling as a unified, sequential decision problem rather than as distinct HR and finance workstreams.
Keywords: Artificial Intelligence; Reskilling; Return on Investment; Change Management; Job Insecurity; Human Capital Theory; Banking Sector; BFSI; India
Keywords: Artificial Intelligence; Reskilling; Return on Investment; Change Management; Job Insecurity; Human Capital Theory; Banking Sector; BFSI; India
How to Cite:
[1] Dr. Daksha Pathak, Dr. Vijay Mohan Vyas, “Investing in People, Managing the Change: A Cost-Benefit and Change-Management Perspective on AI-Era Reskilling in the Indian BFSI Sector,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.121049
