International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
The future of white collar-jobs in the age of generative AI
| Author(s) | Mr. ANMOL ARYAN, Ms. RAJANI VERMA, Mr. UTKARSH DIXIT, Ms. PRIYANKA VERMA |
|---|---|
| Country | India |
| Abstract | The fast-paced development of artificial intelligence (AI) and natural language processing technologies—especially those driven by advanced language models—has sparked new discussions about their impact on professional occupations. This research paper examines how these technologies are influencing white-collar employment in both developed and developing countries. Using information from international labor organizations, government publications, and academic research, the study explores how job categories may evolve, be replaced, or newly created. The analysis shows noticeable differences in the way automation affects office-based jobs in advanced and emerging economies, with specific professions being more vulnerable in each. At the same time, the paper highlights the potential benefits of AI tools, including improved efficiency and the emergence of new forms of work. Based on these findings, several policy suggestions are offered to help governments and institutions support a smoother transition toward a labor market that increasingly depends on AI systems. The study concludes by emphasizing the need for continuous policy updates and educational reforms to equip future workers for both the opportunities and challenges presented by artificial intelligence. |
| Keywords | artificial intelligence, language models, white-collar employment, job projections, developed nations, developing nations, automation, workforce adaptation, labor policy, future of work. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-11-17 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.60332 |
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E-ISSN 2582-2160
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