Impact of Artificial Intelligence on Workplace Stress among Salaried and Self-Employed Individuals in Mumbai Suburbs
Keywords:
Artificial Intelligence (AI), Job Stress, AI Integration in Workplaces, Cognitive and Technical Strain, Job Security Perception, Work AutonomyAbstract
The quick adoption of artificial intelligence (AI) technology in Indian workplaces has spurred fresh discussions regarding the psychological and professional ramifications for various worker categories. Adoption of AI offers efficiency, precision, and less work, but it also causes anxiety, uncertainty, and increased stress, particularly in metropolitan economic zones where work cultures are fast-paced and fiercely competitive. This study examines the connection between job stress and AI integration among salaried workers and independent contractors who live or work in the Mumbai suburbs. The study looks at how stress levels are affected by things like job stability, task expectations, autonomy, digital skills, and perceived danger from AI. Survey-based quantitative analysis and qualitative interpretations were combined in a mixed-method approach. The findings show that AI causes stress through both cognitive overload and technical strain, but its effects vary depending on whether a person is employed or self-employed. While self-employed people face stress because of technology adaptation, financial risk, and constant competition, salaried workers show higher levels of stress related to perceived job displacement and performance monitoring. The results shed light on how AI is changing contemporary work identities and have consequences for companies, mental health specialists, and legislators who want to encourage positive digital shifts.
References
Patel, R. (2021). AI Adoption and Workforce Transformation in Urban India. Journal of Emerging Technologies, 14(2), 55–68.
Sharma, K., & Goswami, M. (2020). Automation Anxiety and Job Security in the Digital Age. Indian Journal of Organizational Psychology, 8(1), 112–129.
Fernandes, L. (2022). Technological Stress Among Self-Employed Entrepreneurs. Asian Business Review, 10(3), 201–215.
Singh, D. (2023). AI-Driven Surveillance and its Impact on Employee Mental Health. International Review of Work Psychology, 6(4), 78–95.
Mehta, S. (2021). Gig Economy and Technological Demands in Indian Metropolitan Regions. Journal of Urban Employment Studies, 9(2), 34–47.
Rao, A. (2020). Workplace Stress in the Era of Intelligent Automation. Management Insights Quarterly, 7(3), 101–119.
Kulkarni, P. (2022). Digital Skill Gaps and Workforce Adaptation in Mumbai. Metropolitan Research Journal, 3(1), 45–59.
World Economic Forum. (2023). Future of Jobs Report. Geneva.
Shaikh, S. A., & Jagirdar, A. H. (2026). Beyond AI dependence: Pedagogical approaches to strengthen student reasoning and analytical skills. In S. Khan & P. Pringuet (Eds.), Empowering learners with AI: Strategies, ethics, and frameworks (Chapter 8, pp. 1–16). IGI Global. https://doi.org/10.4018/979-8-3373-7386-7.ch008
Shaikh, S. A. (2024). Empowering Gen Z and Gen Alpha: A comprehensive approach to cultivating future leaders. In Futuristic Trends in Management (IIP Series, Vol. 3, Book 9, Part 2, Chapter 2). IIP Series. https://doi.org/10.58532/V3BHMA9P2CH2
Chougle, Z. S., & Shaikh, S. (2022). To understand the impact of Ayurvedic health-care business & its importance during COVID-19 with special reference to “Patanjali Products”. In Proceedings of the National Conference on Sustainability of Business during COVID-19, IJCRT, 10(1),
Bhagat, P. H., & Shaikh, S. A. (2025). Managing health care in the digital world: A comparative analysis on customers using health care services in Mumbai suburbs and Pune city. IJCRT. Registration ID: IJCRT_216557.
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