Vol. 1 No. 2 (2026), Articles
Vol. 1 No. 2 (2026)

IMPROVING THE SYSTEM OF LABOR ORGANIZATION BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES

Articles
Published 2026-06-04
Oripov Navruzbek
University of Digital Economy and Agrotechnology Master’s student
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Keywords

artificial intelligence, digital transformation, labor organization, automation, labor productivity, digital economy, management system, innovations.

How to Cite

Oripov Navruzbek. (2026). IMPROVING THE SYSTEM OF LABOR ORGANIZATION BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES. Zamonaviy Ilmiy Yondashuvlar Va Texnologik Taraqqiyotning Ustuvor yo‘nalishlari, 1(2), 581-588. https://doi.org/10.5281/zenodo.20547388
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Abstract

This study analyzes the issues of improving the labor organization system based on the integration of artificial intelligence and digital technologies. In the context of global digital transformation, opportunities for increasing labor productivity, automating management processes, and effectively utilizing human capital will be studied. The economic efficiency and prospects for the practical implementation of these approaches in the conditions of Uzbekistan are substantiated.

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References

Autor, D. H. (2020). Work of the past, work of the future. American Economic Review, 110(7), 1–32.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age. W. W. Norton & Company.

World Economic Forum. (2023). The future of jobs report 2023. Geneva: WEF.

Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks. Journal of Economic Perspectives, 33(2), 3–30.

O‘zbekiston Respublikasi Prezidenti. (2020). Raqamli O‘zbekiston – 2030 strategiyasi.

OECD. (2021). Artificial intelligence and the future of work. Paris: OECD Publishing.