Abstract
Artificial Intelligence (AI) is recognized as a primary change agent that influences various aspects of economies the world over, and thus it profoundly changes not only the number of jobs but also their quality. This research summarizes the main points of the 2013-2025 research and draws a line for the transition of the studies’ framework from very first risk of automation evaluation towards task-based and firm-level econometric models. We, referring to the data provided by the OECD, ILO, and the World Bank, try to understand the effects of AI as a continuous process on job displacement, creation, and reallocation. The results show that AI intensity and employment elasticity are linked to a U-shaped relationship which means that on one hand moderate AI usage leads to employment growth and on the other hand extreme automation causes employment decline. The paper also deals with reskilling, education, and equal technology governance issues raised as a consequence of the policy implications. To sum up, the findings highlight that AI serves as a revolutionary rather than a replacement tool for the employment problem which means that it is changing the nature of human work rather than simply disengaging it.
Keywords
Artificial Intelligence, Automation, Labor Market, Employment Elasticity, Task-Based Modeling, Workforce Transformation.
Citations
IRE Journals:
Robin Karan, Rajneesh Kumar, Kartikey Tiwari, Ranjit Singh Saravat, Dr Randeep Singh "Impact Of Artificial Intelligence (AI) On Employment" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 2823-2826 https://doi.org/10.64388/IREV9I9-1715356
IEEE:
Robin Karan, Rajneesh Kumar, Kartikey Tiwari, Ranjit Singh Saravat, Dr Randeep Singh
"Impact Of Artificial Intelligence (AI) On Employment" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715356
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