THE ROLE OF ARTIFICIAL INTELLIGENCE IN EXPANDING EMPLOYMENT OPPORTUNITIES WITHIN THE GREEN ECONOMY
Keywords:
artificial intelligence; green economy; labor market; employment; green skills; reskilling; smart agriculture.Abstract
This paper analyzes the role of artificial intelligence (AI) technologies in shaping employment and job structures during the transition to a green economy. Unlike conventional perspectives that emphasize job displacement, the study identifies three mechanisms through which AI can expand employment opportunities. First, demand enhancement: greater efficiency in design, monitoring, and operations accelerates investments in renewable energy, energy-efficient construction, waste recycling, and smart agriculture, creating direct and indirect jobs. Second, task augmentation: professionals work alongside AI systems, raising productivity, improving safety, and reshaping occupational roles. Third, skills ecosystem: reskilling and upskilling deepen local integration and stimulate net employment growth. The methodology combines a conceptual framework, sector-specific scenarios, and indicative input–output assessment. Findings suggest that AI can support a net increase in employment in green sectors, while highlighting the short-term need for targeted reskilling policies.
References
1. Euroasia Insurance (EAI). (2024). Statistics of solar energy development in Uzbekistan: results of 2024 and plans for 2025. https://eai.uz/en/articles/solar-energy-statistics-uzbekistan.
2. IRENA & ILO. (2024). Renewable Energy and Jobs – Annual Review 2024. Abu Dhabi/Geneva: IRENA/ILO..
3. Enerdata. (2024). Uzbekistan targets 27 GW of renewable capacity and 40% in power generation by 2030. https://www.enerdata.net/publications/daily-energy-news/uzbekistan-targets-27-gw-renewable-capacity-and-40-power-generation-2030.html
4. Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerisation? Oxford Martin School, University of Oxford.
5. Bowles, J. (2014). The computerisation of European jobs. Bruegel Working Paper, 2014/07.
6. Acemoglu, D., & Restrepo, P. (2017). Robots and jobs: Evidence from US labor markets (No. w23285). National Bureau of Economic Research. https://doi.org/10.3386/w23285
7. O‘zbekiston Respublikasi Prezidenti huzuridagi Statistika agentligi. (2024). Aholi bandligi bo‘yicha ma’lumotlar (2023). https://stat.uz/en/press-center/news-of-committee/64298-uzbekistonda-bandlik-darajasi-2023-yilda-6-8-ga-tushgan
8. O‘zbekiston Respublikasi Kambag‘allikni qisqartirish va bandlik vazirligi. (2024). 2023-2024 yillarda bandlik va malaka oshirish dasturlari bo‘yicha hisobot. https://mehnat.uz/en.
9. Gries, T., & Naudé, W. (2018). Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter? (No. 2018-047). UNU-MERIT Working Paper. https://doi.org/10.2139/ssrn.3299283
10. Cappelli, P. (2019). Automation, skills and the future of work. Harvard Business Review.
11. ILO. (2023). Generative AI and Jobs. ILO Working Paper No. 96.
12. Saba, C. S., et al. (2024). The impact of artificial intelligence (AI) on employment. Journal of Economic Analysis.
13. Marguerit, D. (2025). Augmenting or automating labor? arXiv:2503.19159.
14. Ganuthula, V. R. R., & Balaraman, K. K. (2025). Skill-Based Labor Market Polarization. arXiv:2501.15809.
15. Lawrence, M., Roberts, C., & King, L. (2017). Managing automation: Employment, inequality and ethics in the digital age. Institute for Public Policy Research (IPPR).
16. World Economic Forum. (2025). The Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/.
17. Bholat, D. (2020). The impact of machine learning and AI on the UK economy. Bank of England Speech. https://www.bankofengland.co.uk/speech/2020/david-bholat-speech-the-impact-of-machine-learning-and-ai-on-the-uk-economy.
18. Ширинкина Е.В., Кельчевская Н.Р. (2021). Развитие цифровых компетенций и человеческого капитала в контексте внедрения ИИ. Московский экономический журнал
19.Трансформация рынка труда в условиях внедрения искусственного интеллекта/ Абдурахманов К.Х./ Журнал Экономика труда, Том 10, №2.-М.: 2023, С.227-245, ISSN 24101613
20. Абдурахманов К. Х. Искусственный интеллект – основа устойчивого развития экономики : монография. – Москва : ФГБОУ ВО «РЭУ им. Г. В. Плеханова», 2023. – 356 с.
21. IT Park Uzbekistan. (2024). Results of 2023. Transformation and plans for 2024. https://it-park.uz/en.
22. Hanna, R., Heptonstall, P., & Gross, R. (2024). Job creation in a low carbon transition to renewables and energy efficiency: a review of international evidence. Sustainability Science. https://doi.org/10.1007/s11625-023-01440-y.
23. Kotarbinski, M., et al. (2020). Workforce and economic development considerations from the U.S. offshore wind industry. National Renewable Energy Laboratory (NREL).
24. IEA. (2021). Uzbekistan Energy Profile. https://www.iea.org/reports/uzbekistan-energy-profile.
25. Aminov, F. (2025). Employment and human capital development in the context of a green economy. International Journal of Artificial Intelligence, Academic Publishers.
26. Yaxshiboyev, R.E., & Ermetov, E.Y. (2024). Sun’iy intellektning iqtisodiy o‘sish va ish o‘rinlarini yaratishga ta’siri. Innovatsiya va fan jurnali, O‘zbekiston.
27. Petreski, M., Tanevski, I., & Stojmenovska, D. (2023). Employment, labor productivity and environmental sustainability: Firm-level evidence from transition economies. arXiv:2310.18989.
28. Bone, J., et al. (2023). Skills or degree? arXiv:2312.11942.
29. Digital Technologies and Labor Market of Uzbekistan. (2024). ACM Digital Library. DOI: 10.1145/3644713.3644747.
30. O‘zbekiston Respublikasi Raqamli texnologiyalar vazirligi. (2024). 2023-yilda raqamli iqtisodiyot va sun’iy intellekt orqali ish o‘rinlari yaratish bo‘yicha hisobot. https://mitc.uz/en.
