Artificial intelligence and personalization in corporate training: practices, prospects, barriers

Authors

DOI:

https://doi.org/10.17308/meps/2078-9017/2025/10/56-68

Keywords:

artificial intelligence, corporate training, personalization, adaptive algorithms, recommendation systems, chatbots, learning data analysis, virtual reality, augmented reality, digitalization, ethical standards, automation, personnel development, competitiveness

Abstract

Importance: practices, prospects and barriers to the introduction of artificial intelligence technologies into the corporate training system. Purpose: comprehensive analysis of the current state, identification of prospects and identification of key barriers to the introduction of artificial intelligence (AI) technologies into the corporate training system. Research design: the theoretical and methodological basis of the research was the works of Russian scientists in the field of corporate training. The research tools are represented by such general scientific and private methods as analysis and synthesis, logical generalization, and comparison. The research is based on scientific works by domestic and foreign authors representing various scientific and applied research in the field of introducing artificial intelligence technologies into corporate training. Results: It is determined that corporate training is a strategic process aimed at developing the professional skills of employees in accordance with the objectives of the company. The importance of introducing modern digital tools into corporate training is revealed. It has been established that artificial intelligence (AI) is the most promising digital tool. The main AI technologies that have the prospect of being introduced into corporate training and possible areas of their application are analyzed. The prospects of introducing AI technologies into corporate training in Russia are revealed, and the barriers that may arise during their implementation are identified.

Author Biographies

  • Valeriya Valerievna Gridina, Donetsk State University

    Cand. Sci. (Econ.)

  • Irina Valentinovna Petenko, Donetsk State University

    Dr. Sci. (Econ.), Prof.

  • Oleg Semenovich Shchukin, Voronezh State University

    Dr. Sci. (Econ.), Assoc. Prof.

  • Anastasia Alexandrovna Vorobyova, Voronezh State University

    stud.

References

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Published

2025-11-14

Issue

Section

Regional Economics

How to Cite

Artificial intelligence and personalization in corporate training: practices, prospects, barriers. (2025). Modern Economics: Problems and Solutions, 10, 56-68. https://doi.org/10.17308/meps/2078-9017/2025/10/56-68