--- title: "ARTIFICIAL INTELLIGENCE AND LABOR MARKET TRANSFORMATION IN DEVELOPING COUNTRIES · AI Fault Line" url: https://aifaultline.com/research/p/doi-10-5281-zenodo-20476468/ description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change." --- [Research](https://aifaultline.com/research/) # ARTIFICIAL INTELLIGENCE AND LABOR MARKET TRANSFORMATION IN DEVELOPING COUNTRIES Sevinch Rakhimjonovna Nortojiyeva · Zenodo (CERN European Organization for Nuclear Research) · 31 May 2026 [Read original source](https://doi.org/10.5281/zenodo.20476468) Open access Where this sits in the debate - [Will AI destroy more jobs than it creates?](https://aifaultline.com/debate/jobs/) · its finding: it depends ([why studies differ](https://aifaultline.com/debate/jobs/#why)) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Key takeaway [AI-written](https://aifaultline.com/about/) A literature-based review (drawing on ILO, World Bank, OECD, IMF, and WEF reports) on how AI is reshaping labor markets in developing countries, concluding that AI creates both job displacement and demand for new skills, with outcomes depending heavily on education and labor-market policy. It's descriptive synthesis rather than new empirical evidence, but contributes a Global South framing often underrepresented in the AI-economics literature. ## The paper in three steps [AI-written](https://aifaultline.com/about/) Written by an AI agent from the paper's abstract, which is the primary source and is quoted below. 1 The question How is AI changing labour markets in developing countries? 2 The approach A review of reports and empirical findings published by the ILO, World Bank, OECD, IMF and World Economic Forum on employment trends, workforce adaptation, productivity and policy. 3 The findings AI may automate routine tasks and threaten some occupations while creating demand for new skills and jobs, with gains for development depending on education and labour policies. How to read it: review. A synthesis of existing studies — breadth over novelty; quality depends on what it includes and excludes. ## Limitations and counterpoints [AI-written](https://aifaultline.com/about/) Relies on secondary reports rather than new data, and the abstract gives no quantitative estimates or country-level detail. ## 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. ## About this publication **Preprint.** A preprint — posted publicly before or without journal peer review; findings may still be revised. Published 2026 (5 months ago) Citations 0 (OpenAlex) 0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison. [Chart: published 2026] ## More on this topic Related by theme, not necessarily by method or conclusion. - [The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers](https://aifaultline.com/research/p/doi-10-2139-ssrn-4945566/) SSRN · 2024 - [GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models](https://aifaultline.com/research/p/doi-10-48550-arxiv-2303-10130/) arXiv · 2023 - [Experimental evidence on the productivity effects of generative artificial intelligence](https://aifaultline.com/research/p/doi-10-1126-science-adh2586/) Science · 2023 - [The simple macroeconomics of AI](https://aifaultline.com/research/p/doi-10-1093-epolic-eiae042/) Economic Policy · 2024 Overview assembled automatically from collected metadata. 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