ARTIFICIAL INTELLIGENCE AND THE LABOR MARKET: OPPORTUNITIES AND RISKS (THE CASE OF UZBEKISTAN)

Authors

  • Rozimurodova Dilroz,Rasulov Rustambek Odilovich Student of Economics, Group 1/24 University of Science and Technologies,Acting Associate Professor, Department of Social Sciences University of Science and Technologies Doctor of Philosophy (PhD) in Philosophy

DOI:

https://doi.org/10.55640/

Keywords:

artificial intelligence, labor market, employment, digital transformation, Uzbekistan.

Abstract

This scientific article provides a comprehensive analysis of the impact of artificial intelligence (AI) technologies on the labor market. The study examines the role of artificial intelligence in shaping employment levels, labor productivity, job transformation, and the demand for new competencies. It also discusses the socio-economic risks arising from the implementation of artificial intelligence, including job losses and the widening skills gap. Using the example of Uzbekistan’s labor market, the processes of AI adoption, existing challenges, and future prospects are analyzed, and scientific and practical recommendations aimed at adapting the labor market are developed.

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References

1.Autor, D. (2015). The impact of artificial intelligence on the labor market. Journal of Economic Perspectives.

2.Acemoglu, D., Restrepo, P. (2018). Artificial intelligence, automation, and work. NBER Working Paper.

3.OECD. (2020). Artificial Intelligence and the Future of Work: Policy Recommendations. OECD Publishing.

4.World Bank. (2021). Digital Economy Development Reports. World Bank Group.

5.Bengio, Y. (2019). Deep learning and the future of work. AI Society Journal.

6.Ministry of Employment and Labor Relations of the Republic of Uzbekistan. (2022). Labor market analysis and digital transformation. Tashkent.

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Published

2026-01-19

How to Cite

ARTIFICIAL INTELLIGENCE AND THE LABOR MARKET: OPPORTUNITIES AND RISKS (THE CASE OF UZBEKISTAN). (2026). Journal of Multidisciplinary Sciences and Innovations, 5(01), 1279-1281. https://doi.org/10.55640/

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