ARTIFICIAL INTELLIGENCE AND LABOR MARKET TRANSFORMATION IN DEVELOPING COUNTRIES

Authors

  • Sevinch Rakhimjonovna Nortojiyeva Second-Year Student, Faculty of Economics, Tashkent State University of Economics

DOI:

https://doi.org/10.5281/zenodo.20476468

Keywords:

Artificial Intelligence, labor market, developing countries, automation, employment, digital transformation, workforce skills, economic development, technological change, productivity.

Abstract

 Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the twenty-first century, significantly influencing economic development, productivity growth, and labor market dynamics worldwide. While developed economies have been at the forefront of AI adoption, developing countries are increasingly experiencing both opportunities and challenges associated with the integration of AI technologies into various sectors. The impact of AI on labor markets in developing countries is complex, involving job creation, job displacement, changes in skill requirements, and shifts in employment structures. This article examines the transformation of labor markets in developing countries under the influence of AI, focusing on employment trends, workforce adaptation, productivity improvements, and policy implications. The study is based on reports and empirical findings published by international organizations, including the International Labour Organization (ILO), World Bank, Organisation for Economic Co-operation and Development (OECD), International Monetary Fund (IMF), and the World Economic Forum (WEF). The findings indicate that while AI may automate routine tasks and threaten certain occupations, it simultaneously creates demand for new skills and occupations, offering significant opportunities for economic development if supported by effective educational and labor policies.

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Published

2026-05-31

How to Cite

ARTIFICIAL INTELLIGENCE AND LABOR MARKET TRANSFORMATION IN DEVELOPING COUNTRIES. (2026). International Journal of Political Sciences and Economics, 5(5), 581-585. https://doi.org/10.5281/zenodo.20476468

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