[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2582-8746 Since 2020
  1. Home
  2. Archives
  3. 2026
  4. Vol. 7 Issue 2
  5. Article
Review Article

AI and the Future of Job Profiles: A systematic Review of Sectoral Job Transformation, Risks and Future Impacts

  • Paper ID 1076
  • Volume 7, Issue 2
  • Pages 296-302
  • Published Online: March-April 2026
  • 2 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Anshul Shrivastava1
  • Ashish Kumar Pandey2
  • Anil Kumar Sharma3

1 2 3 Department of Information Technology, APSGMNS Govt. P.G. College, Kawardha, Chhattisgarh, India.

Article Information

Published Online
March-April 2026
Pages
296-302
Article Type
Review Article
Check for updates
check update

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
APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2582-8746
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper