The Artificial Intelligence: Impact on the Education — Labor Market System

This article examines the impact of the development and widespread adoption of artificial intelligence (AI) tools on the education system and labor market in the modern economy. It outlines important research directions related to the development of AI tools and the processes of their integration in «education-labor market system». A comprehensive analysis of the implementation and integration of AI technologies into existing production processes and the implications for the modern education system is presented.
The study aims not only to assess the transformation of teaching practices under the influence of AI but also to examine its indirect impact on the labor market, driven by the fundamental shift in professional competencies in demand due to its widespread adoption.
Methodology and Approaches: the study is based on an analysis of current trends and includes a practical case demonstrating the potential of AI in processing educational content. Particular attention is paid to assessing the risks and limitations associated with the widespread adoption of AI. Results: key trends in the implementation of AI in the education system are identified and systematized, including personalization of learning, automation of teaching, and the emergence of new educational formats and practices. Promising areas for using AI in education are identified, and the associated risks of its implementation are systematically assessed. The transformation of existing professions and changes in the employment structure due to the spread of AI are examined.
Conclusions: while AI has enormous potential to improve people's lives, it is also associated with a deepening digital divide — it can become a barrier for some and a privilege for others, rather than a means of creating an inclusive society. The interaction of AI with the education system as a social institution represents a complex and multifaceted process of its innovative development. The widespread adoption of AI tools in educational processes is not simply a technical modernization, but an institutional transformation affecting all aspects of the education system. The widespread adoption of AI in the world of work impacts the employment structure and professional composition of the workforce, thereby changing the requirements for the education system. 

1. Abdurakhmanov K. Kh. The Labor Market Transformation in the Artificial Intelligence Introduction Context // Labor Economics [Ekonomika truda]. 2023. Vol. 10. N 2. P. 227–246. DOI 10.18334/ et.10.2.117364. EDN QXCGCN (In Russ.).

2. Aliyev I. M. The Impact of Artificial Intelligence Technologies on the Labor Market in Russia // Journal of Legal and Economic Studies [Zhurnal pravovykh i ekonomicheskikh issledovanii]. 2019. N 4. P. 7–12. DOI 10.26163/GIEF.2019.18.73.001. EDN VTLMZC (In Russ.).

3. Barratt D. The Last Invention of Mankind: Artificial Intelligence and the End of the Era of Homo sapiens: [translated from English] / D. Barratt. 2nd ed. Moscow: Alpina non-fiction, 2018. (In Russ.).

4. The Artificial Intelligence Impact on Education [Electronic resource]. ANO “Digital Economy”. 2024. 88 p. URL: https://files.data-economy.ru/Docs/Vliyanie_ii_na_obrazovanie_.pdf; Artificial Intelligence in Education https://www.tadviser.ru/index.php/ (In Russ.).

5. Ilyushin L. S., Torpasheva N. A. Normative Regulation of the Artificial Intelligence Technologies Implementation in the Russian Education // Journal of Legal and Economic Studies [Zhurnal pravovykh i ekonomicheskikh issledovanii]. 2024. N 2. P. 372–377. DOI 10.26163/GIEF.2024.51.18.051. EDN ZNAMKV (In Russ.).

6. Index of Readiness of the Russian Economy Priority Sectors for Artificial Intelligence Implementation. Analytical Report. Moscow: National Center for Artificial Intelligence Development under the Government of the Russian Federation, 2024. (In Russ.).

7. Lukichev P. M., Chekmarev O. P. Challenges of the Artificial Intelligence Economy to the Traditional Labor Market // Issues of Innovative Economics [Voprosy innovatsionnoi ekonomiki]. 2023. Vol. 13. N 2. P. 785–802. DOI 10.18334/vinec.13.2.118137. EDN DMCGGC (In Russ.).

8. Lyalkova E. E., Bogdashkina E. A., Lobkova V. E. The Impact of Artificial Intelligence on the Labor Market: Analysis of Changes in Demand for Qualifications and Training // E-Scio. 2023. N 5 (80). P. 542–550. EDN VARNJY (In Russ.).

9. The Beginning of the End or a New Era? The Effects of Generative Artificial Intelligence in Higher Education / Ya. I. Kuzminov (scientific editor), M. A. Kiryushina, A. P. Vorochkov, E. V. Kruchinskaya, E. A. Terentyev, I. D. Froumin; National Research University Higher School of Economics, Institute of Education. Moscow: HSE University, 2024. (Modern Education Analytics. N 8 (82)). (In Russ.).

10. Tashenov A. M. The Impact of Automation and Artificial Intelligence on the International Labor Market in Digitalization Context // Moscow Economic Journal [Moskovskii ekonomicheskii zhurnal]. 2024. N 7. P. 223–246. DOI 10.55186/2413046X_2024_9_7_325 (In Russ.).

11. Brynjolfsson E., & Mitchell T. What Can Machine Learning Do? Workforce Implications. Science. 2017. N 358 (6370). P. 1530–1534. DOI 10.1126/science.aap8062.

12. Frey C. B., & Osborne M. A. The Future of Employment: How Susceptible Are Jobs to Computerisation? // Technological Forecasting and Social Change. 2017. N 114. P. 254–280. DOI 10.1016/j.techfore.2016.08.019.

13. Gmyrek P., Berg J., & Bescond D. Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality. ILO Working Paper No. 96. Geneva: International Labour Office, 2023. DOI 10.54394/FHEM8239.

14. Shen Y., Zhang X. The impact of artificial intelligence on employment: the role of virtual agglomeration // Humanities and Social Sciences Communications. 2024. Vol. 11. P. 122. DOI 10.1057/s41599-024-02647-9.

15. The Future of Jobs // World Economic Forum URL: https://www.weforum.org/reports/the-futureof-jobs (дата обращения: 29.04.2023).

16. Webb M. The Impact of Artificial Intelligence on the Labor Market // SSRN Working Paper. 2019. N 3482150. DOI 10.2139/ssrn.3482150.