THE DEMAND FOR NEW PROFESSIONAL SKILLS AND THE FUTURE OF TRADITIONAL OCCUPATIONS IN THE AGE OF AUTOMATION AND ARTIFICIAL INTELLIGENCE
Keywords:
automation, artificial intelligence, labor market, professional skills, traditional occupations, task composition, digital literacy, reskilling, professional adaptability.Abstract
This article examines the impact of automation and artificial intelligence technologies on the labor market, professional skills, and the nature of traditional occupations. The central argument is that technological progress is accelerating the redistribution of tasks within occupations rather than eliminating entire professions as a whole. Through a comparative analysis of international research and reports, the study identifies differences in the assessment of automation risks, declining opportunities to gain initial professional experience, the need to verify AI-generated outputs, and challenges within reskilling systems. The article proposes an original model for assessing occupations based on task composition, human competencies, and the level of technological adaptability. It also develops practical recommendations for the labor market of Uzbekistan.
References
Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30.
Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD Social, Employment and Migration Working Papers, No. 189. Paris: OECD Publishing.
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333.
Brynjolfsson, E., Li, D., & Raymond, L. (2023). Generative AI at Work. NBER Working Paper No. 31161. National Bureau of Economic Research.
Dell’Acqua, F., et al. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business School Working Paper No. 24-013.
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An early look at the labor market impact potential of large language models. arXiv:2303.10130.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.
Gmyrek, P., Berg, J., & Bescond, D. (2023). Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality. ILO Working Paper 96. Geneva: International Labour Organization.
Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187–192.
World Economic Forum. (2025). The Future of Jobs Report 2025. Geneva: World Economic Forum.
O‘zbekiston Respublikasi Prezidentining 2020-yil 5-oktabrdagi PF-6079-son Farmoni. “Raqamli O‘zbekiston–2030” strategiyasini tasdiqlash va uni samarali amalga oshirish chora-tadbirlari to‘g‘risida.
