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- Vol. 7 Issue 2
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AI and the Future of Job Profiles: A systematic Review of Sectoral Job Transformation, Risks and Future Impacts
Authors
1 2 3 Department of Information Technology, APSGMNS Govt. P.G. College, Kawardha, Chhattisgarh, India.
Article Information
- Published In
- Volume 7, Issue 2 (2026)
- Published Online
- March-April 2026
- Pages
- 296-302
- Article Type
- Review Article
References
1. World Economic Forum, The Future of Jobs Report 2025. Geneva, Switzerland: World Economic Forum, 2025.
2. McKinsey Global Institute, Generative AI and the Future of Work in America. New York, NY, USA: McKinsey & Company, 2024.
3. OECD, OECD Employment Outlook 2024: Artificial Intelligence and the Labour Market. Paris, France: OECD Publishing, 2024.
4. European Commission, Employment and Social Developments in Europe: The Impact of AI on Jobs. Brussels, Belgium: European
Commission, 2023.
5. International Labour Organization (ILO), Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality.
Geneva, Switzerland: ILO, 2023.
6. S. N. Kapoor and A. K. Singh, “Artificial intelligence and labor market transformation: A sectoral review,” Journal of Innovation &
Knowledge, vol. 8, no. 2, pp. 100–112, 2023.
7. A. Kumar, P. Singh, and R. Patel, “Integration of IoT and AI for smart industrial automation: A review,” IEEE Access, vol. 11, pp.
112345–112360, 2023.
8. J. Lee, H. Davari, J. Singh, and V. Pandhare, “Industrial AI and predictive analytics for smart manufacturing,” Manufacturing Letters,
vol. 31, pp. 45–50, 2022.
9. R. Topol, “High-performance medicine: The convergence of human and artificial intelligence,” Nature Medicine, vol. 25, no. 1, pp.
44–56, 2022.
10. S. Verma And A. Sharma, “Ai-Driven Data Analytics In Financial Services: Opportunities And Risks,” Journal of Financial Innovation,
vol. 9, no. 1, pp. 15–29, 2023.
11. L. Zhou, M. Chen, and D. Zhang, “Artificial intelligence and employment: New evidence from sectoral analysis,” Technological
Forecasting and Social Change, vol. 185, pp. 122–136, 2023.
12. M. R. Johnson and T. Lee, “Comparative workforce automation across industrial sectors: Challenges in sectoral AI assessment,”
Journal of Industrial Information Integration, vol. 34, pp. 100–114, 2024.
13. P. Ramanathan and K. Bose, “Sensor-driven AI ecosystems and labor transformation in smart enterprises,” IEEE Internet of Things
Journal, vol. 11, no. 4, pp. 4120–4134, 2025.
14. D. Matthews and S. Chen, “AI integration in software engineering and workforce evolution,” IEEE Software, vol. 42, no. 1, pp. 88–
97, 2025.
15. P. Robinson and H. James, “Artificial intelligence in education: Adaptive learning and workforce implications,” Computers and
Education: Artificial Intelligence, vol. 6, pp. 100–118, 2024
2. McKinsey Global Institute, Generative AI and the Future of Work in America. New York, NY, USA: McKinsey & Company, 2024.
3. OECD, OECD Employment Outlook 2024: Artificial Intelligence and the Labour Market. Paris, France: OECD Publishing, 2024.
4. European Commission, Employment and Social Developments in Europe: The Impact of AI on Jobs. Brussels, Belgium: European
Commission, 2023.
5. International Labour Organization (ILO), Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality.
Geneva, Switzerland: ILO, 2023.
6. S. N. Kapoor and A. K. Singh, “Artificial intelligence and labor market transformation: A sectoral review,” Journal of Innovation &
Knowledge, vol. 8, no. 2, pp. 100–112, 2023.
7. A. Kumar, P. Singh, and R. Patel, “Integration of IoT and AI for smart industrial automation: A review,” IEEE Access, vol. 11, pp.
112345–112360, 2023.
8. J. Lee, H. Davari, J. Singh, and V. Pandhare, “Industrial AI and predictive analytics for smart manufacturing,” Manufacturing Letters,
vol. 31, pp. 45–50, 2022.
9. R. Topol, “High-performance medicine: The convergence of human and artificial intelligence,” Nature Medicine, vol. 25, no. 1, pp.
44–56, 2022.
10. S. Verma And A. Sharma, “Ai-Driven Data Analytics In Financial Services: Opportunities And Risks,” Journal of Financial Innovation,
vol. 9, no. 1, pp. 15–29, 2023.
11. L. Zhou, M. Chen, and D. Zhang, “Artificial intelligence and employment: New evidence from sectoral analysis,” Technological
Forecasting and Social Change, vol. 185, pp. 122–136, 2023.
12. M. R. Johnson and T. Lee, “Comparative workforce automation across industrial sectors: Challenges in sectoral AI assessment,”
Journal of Industrial Information Integration, vol. 34, pp. 100–114, 2024.
13. P. Ramanathan and K. Bose, “Sensor-driven AI ecosystems and labor transformation in smart enterprises,” IEEE Internet of Things
Journal, vol. 11, no. 4, pp. 4120–4134, 2025.
14. D. Matthews and S. Chen, “AI integration in software engineering and workforce evolution,” IEEE Software, vol. 42, no. 1, pp. 88–
97, 2025.
15. P. Robinson and H. James, “Artificial intelligence in education: Adaptive learning and workforce implications,” Computers and
Education: Artificial Intelligence, vol. 6, pp. 100–118, 2024
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