Volume 2 • Issue 1 • PP: 20-26 • 2025
The Impact of Digital Literacy, Automation, and Soft Skills on Employment Conditions of Non-Specialist Workers
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The main target areas of this article is to analyze the impact of fast growing digital economy in the labor market, as well as the rise in the number of under-skilled workers due to the rapid changes in required skills and qualifications. Alongside with foreign literature attachments, the influence of automation, artificial intelligence, digital knowledge and platforms, and the “gig economy” are thoroughly examined. There is a social survey conducted covering more than one thousand employees from six different sectors in order to understand the extent of the growing number of unskilled and unemployed staff in the labor market of Uzbekistan. To deeply analyze and correct some units of this scientific research (with an exception in the main and econometric analysis part) various methods, such as econometrics, empirical model, artificial intelligence to name just a few has been implemented. In the end, it has been concluded that the formation of adaptable digital, soft competencies in the education system is a priority.
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References
Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation and work (NBER Working Paper No. 24196). National Bureau of Economic Research. https://doi.org/10.3386/w24196
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. https://doi.org/10.1257/jep.29.3.3
Berg, J., Furrer, M., Harmon, E., Rani, U., & Silberman, M. S. (2018). Digital labour platforms and the future of work: Towards decent work in the online world. International Labour Organization.
Charles, L., Xia, S., & Coutts, A. P. (2016). Digitalization and employment: A review. International Labour Organization.
Drahokoupil, J., & Jepsen, M. (2017). The digital economy and its implications for labour: 1. The platform economy. European Trade Union Institute.
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. https://doi.org/10.1016/j.techfore.2016.08.019
Graham, M., Hjorth, I., & Lehdonvirta, V. (2017). Digital labour and development: Impacts of global digital labour platforms and the gig economy on worker livelihoods. Transfer: European Review of Labour and Research, 23(2), 135–162. https://doi.org/10.1177/1024258916687250
International Labour Organization. (2016). Digitalization and employment: A review. ILO.
International Telecommunication Union. (2023). Measuring digital development: Facts and figures 2023. ITU.
Jepsen, M., & Drahokoupil, J. (2017). The digital economy and its implications for labour: 2. The consequences of digitalisation for the labour market. European Trade Union Institute.
Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R., & Sanghvi, S. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey Global Institute.
OpenAI. (2023). AI-based language assistance (ChatGPT). https://www.openai.com
Organisation for Economic Co-operation and Development. (2019). OECD skills outlook 2019: Thriving in a digital world. OECD Publishing. https://doi.org/10.1787/df80bc12-en
Rimini, M., & Spiezia, V. (2016). Skills for a digital world. OECD Publishing.
Schislyaeva, E. R., & Saychenko, L. V. (2022). Labor market soft skills in the context of digitalization of the economy. Sustainability, 14(4), 1–15. https://doi.org/10.3390/su14042384
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