A.I Training is No Longer a Luxury but s Necessity in Today’s Digital Age

Abstract

The rapid expansion of automation and artificial intelligence is transforming operational processes and human resource dynamics in the global banking sector. In Indian Public Sector Banks (PSBs), automation has emerged as a key driver of efficiency and digital transformation; however, its implications for workforce resilience and institutional readiness remain underexplored. This study examines the relationship between automation adoption, workforce resilience, and institutional readiness in Indian PSBs, drawing comparative insights from global banking models. Using a descriptive and comparative research design, primary data were collected from 180 banking professionals across selected Indian PSBs through structured questionnaires, supported by secondary data from international banking reports and global benchmarks. Statistical techniques including reliability analysis, descriptive statistics, ANOVA, correlation, t-test, and regression analysis were employed. The results indicate a relatively high level of automation adoption (Mean = 3.78), while institutional readiness (Mean = 3.34) and reskilling support (Mean = 3.21) lag behind. Significant differences were observed across designation levels, with managerial staff reporting higher preparedness than clerical employees. Comparative analysis reveals that global banks exhibit significantly higher institutional readiness (Mean = 3.89) than Indian PSBs (t = –3.87, p < 0.01). Correlation and regression results further establish that institutional readiness is a stronger predictor of workforce resilience (β = 0.47, p < 0.01) than automation adoption alone (β = 0.31, p < 0.01). The study concludes that while automation is necessary for modernization, sustainable workforce resilience in Indian PSBs depends primarily on institutional capacity, leadership support, structured reskilling, and effective change management. The findings offer important policy and managerial implications for aligning automation strategies with human and institutional development in public sector banking.