Paper Details

Name: Vishnu Menon R, Arvind R Gajakosh
Country: India

Year: 2026
Volume: Vol-13, Issue-2, Year-2026 ( July- December)
Page Number: 183-191
DOI: https://doi.org/10.5281/zenodo.22871114

Artificial intelligence is transforming the nature of work and increasingly affecting employee job satisfaction, well-being, autonomy, and work design. But the impacts of AI on employees are not all good or all bad, and depend on how the technology is applied and managed. This study investigates the differential effect of AI implementation on employees’ job satisfaction with a qualitative multiple case study design. Comparative Study of Four Organizational Cases from Software Engineering, Business Process Services, Financial Services and Industrial Manufacturing was done. The findings suggest that standard artificial intelligence can improve work satisfaction when it helps to reduce administrative burdens, pinpoints sources of employee stress and burnout, removes hazardous tasks, and allows employees to play a role in the development and adaptation of AI. However, surveillance based on AI and algorithmic performance monitoring can increase employee stress, reduce professional autonomy, and adversely affect job satisfaction and engagement. The cross-case analysis suggests that the effect of AI on job satisfaction relies on the intention of AI usage, the level of employee autonomy retained and the level of employee participation in implementation. The study highlights the need of participatory socio-technical design and the use of AI to augment, instead of over-control human work.

Keywords: Artificial Intelligence; Job Satisfaction; AI Surveillance; Job Enrichment; Multiple Case Study