Paper Details

Name: Manish Ramnani, Sangeeta Jain, Mayank Ramnani
Country: India

Year: 2026
Volume: Vol-13, Issue-2, Year-2026 ( July- December)
Page Number: 221-231
DOI: https://doi.org/10.5281/zenodo.23494377

Background: Widespread workplace adoption of artificial intelligence (AI) accelerates digital transformation but fuels intense AI-induced job anxiety, which in turn stalls organizational adaptation. While current business management literature focuses heavily on macro-economic outcomes, the micro-level psychological resources of employees remain under-researched. This study addresses this gap by investigating how Psychological Capital (PsyCap) — comprising hope, efficacy, resilience and optimism (HERO) — acts as a critical strategic buffer against technological displacement fears.
Methods: We synthesize Conservation of Resources (COR) Theory and Cognitive Appraisal Theory to build a robust conceptual framework. Rather than relying on static empirical datasets, the paper employs deductive theoretical modeling to position PsyCap as a dynamic moderating variable that shapes how workers psychologically appraise and react to AI disruptions.
Results: The framework establishes three distinct micro-level adaptive responses. First, optimism and resilience enable the cognitive reframing of technological shifts as temporary transitions. Second, hope drives proactive skill redeployment through lateral thinking. Finally, a resilience–efficacy synergy fosters professional identity elasticity, allowing employees to redefine their workplace value rather than resisting automation.
Conclusions: PsyCap serves as an essential institutional asset for enterprise survival during automation transitions. To operationalize these insights, the paper introduces actionable managerial frameworks including PsyCap audit tools, structured mentorship models and psychologically embedded “reskilling sabbaticals.” Shifting focus from pure technical upskilling toward psychological adaptability provides organizational leaders with a sustainable, human-centered blueprint for AI readiness.

Keywords: Artificial Intelligence; AI-induced Job Anxiety; Psychological Capital; Adaptive Responses; Reskilling.
JEL: M12, J24, O33, D91