This study analyses the impact of Artificial Intelligence (AI) on labour markets and employment patterns in India within the broader context of rapid technological advancement and economic restructuring. India has emerged as a global leader in AI adoption, recording an annual hiring growth rate of nearly 33% along with substantial penetration of AI-related skills across industries. The findings reveal that AI is not merely displacing jobs but fundamentally transforming the nature of work by automating routine tasks while augmenting human capabilities and improving productivity. Empirical estimates suggest that AI could contribute approximately $450–500 billion to India’s GDP and generate around 4.6–5.6 million new jobs, while displacing nearly 3.8–5.0 million jobs, resulting in a modest but positive net employment gain. Sectoral analysis indicates that IT, healthcare, and retail sectors are experiencing employment growth, whereas manufacturing and banking sectors face higher automation risks due to routine task intensity. The study further highlights a significant skill gap of nearly 38–40%, with only 12–15% of the workforce possessing formal AI or digital training, reflecting limited workforce preparedness. Additionally, AI is contributing to labour market polarization by increasing demand for high-skilled workers while reducing opportunities for low- and mid-skilled workers. The expansion of gig and platform-based employment also reflects evolving and flexible work arrangements. Overall, the study concludes that while AI offers substantial opportunities for economic growth and employment generation, it also presents challenges related to displacement and skill mismatch, necessitating targeted reskilling, policy support, and inclusive strategies for sustainable labour market development.
Choudhary, P. (2026). A Study on the Impact of Artificial Intelligence on Labour Markets and Employment Patterns in India. Inspira-Journal of Commerce, Economics & Computer Science (JCECS), 12(01), 192–199. https://doi.org/10.62823/JCECS/12.01.8781
- Bhatnagar, J., &Budhwar, P. (2018). Macro talent management in India: A contextual analysis of the challenges, opportunities and emerging patterns. Macro talent management in emerging and emergent markets, 85-103.
- Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068.
- Deshmukh, S., & BM, N. (2024). Unveiling the AI Shadow: Exploring the Link Between Adoption of AI and Large-Scale Employment in Contemporary India. Available at SSRN 5072750.
- Dhamija, G., & Roychowdhury, P. (2020). Age at marriage and women's labour market outcomes in India. Journal of International Development, 32(3), 342-374.
- Gaikwad, S. R. (2024). Role of artificial intelligence in smart manufacturing of automobile industry in India. In AIP Conference Proceedings (Vol. 3178, No. 1, p. 070012). AIP Publishing LLC.
- Hammer, A., & Karmakar, S. (2021). Automation, AI and the future of work in India. Employee Relations: The International Journal, 43(6), 1327-1341.
- Jujjavarapu, G., Hickok, E., Sinha, A., Mohandas, S., Ray, S., Bidare, P. M., & Jain, M. (2018). AI and the Manufacturing and Services Industry in India. The center for Internet and Society, India (06/01/2019).
- Kalyanakrishnan, S., Panicker, R. A., Natarajan, S., & Rao, S. (2018, December). Opportunities and challenges for artificial intelligence in India. In Proceedings of the 2018 AAAI/ACM conference on AI, Ethics, and Society (pp. 164-170).
- Karmakar, S., & Hammer, A. (2020). Work and Employment 12 in the Times of Automation and Artificial Intelligence: The Indian Case. The Political Economy of Work in the Global South, 241.
- Kumar, S., Verma, P., Patel, P., & Rajesh, J. I. (2022). Perceptions of Indian managers on the impact of convergent technologies on work and resultant organisational performance in service industry. International Journal of Emerging Markets, 17(2), 550-573.
- Majumdar, B., Mishra, S. K., &Budhwar, P. (2022). Human resource management in the twenty-first century: Present stand and the emerging trends in Indian organizations. HRM in the Global South: A Critical Perspective, 217-252.
- Mashelkar, R. A. (2018). Exponential technology, industry 4.0 and future of jobs in India. Review of Market Integration, 10(2), 138-157.
- Mehrotra, S., & Parida, J. K. (2021). Stalled structural change brings an employment crisis in India. The Indian Journal of Labour Economics, 64(2), 281-308.
- Mehta, B. S., & Singh, B. (2024). Technology and the future of work: reshaping the workplace. Routledge India.
- Mukherjee, A. N. (2022). Application of artificial intelligence: benefits and limitations for human potential and labor-intensive economy–an empirical investigation into pandemic ridden Indian industry. Management Matters, 19(2), 149-166.
- Patel, D. A. (2020). Digitalisation vis-à-vis the Indian labour market: pros and cons. In Labour Law and the Gig Economy (pp. 79-89). Routledge.
- Prabhakar, A. C. (2024). India’s manufacturing sector performance and job-oriented sustainable economic growth: a comprehensive analysis. International Journal of Academic Research in Business and Social Sciences, 14(8).
- R., Subhikshan T. (2023). Impact of Artificial Intelligence on Employment Sector. Issue 2 Indian JL & Legal Rsch., 5, 1.
- Surie, A. (2020). On-demand platforms and pricing: how platforms can impact the informal urban economy, evidence from Bengaluru, India. Work Organisation, Labour & Globalisation, 14(1), 83-100.