THE IMPACT OF ARTIFICIAL INTELLIGENCE AND DIGITAL TRANSFORMATION ON ECONOMIC GROWTH: THE CASE OF THE LABOR MARKET AND PRODUCTIVITY
Malikov Elbek Abdurayim ugli, Worldly Knowledge Publishing Centre · Arabian journal of science. · 6 Oct 2026
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Where this sits in the debate
- Will AI actually boost productivity and growth? · its finding: it depends (why studies differ)
- Will AI destroy more jobs than it creates? · its finding goes against the claim (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Key takeaway AI-written
This article examines how AI and digital transformation affect growth in Uzbekistan through productivity and the labour market, using official statistics for 2023-2026. It argues AI acts through higher total factor productivity, task reallocation and new occupations, and notes that small businesses hold 74.9% of employment but only 52.2% of GDP.
Abstract
The article analyzes the impact of artificial intelligence (AI) and digital transformation on economic growth through the labor market and productivity channels. The study uses statistical-comparative, structural and logical analysis methods based on official and international statistical data for Uzbekistan for 2023–2026, the “Digital Uzbekistan – 2030” strategy and the Strategy for the Development of Artificial Intelligence Technologies until 2030, as well as foreign empirical literature. The results show that AI affects growth in three ways: by raising total factor productivity, by reallocating tasks, and by creating new occupations. At the same time, the share of small business in employment (74.9%) is markedly higher than its share in gross domestic product (52.2%), which means that relative labor productivity in this sector is about 70% of the average level. This shows that diffusing AI tools precisely to low-productivity sectors is a major opportunity and, at the same time, a skills challenge. The article concludes with proposals on retraining of personnel, adoption of digital technologies in small business, data infrastructure, and measurement of the effects of AI.
About this publication
Academic journal. Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.
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- 2026 (recently)
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