Neural Network Solutions in Creative Industries: Digital Transformation of Education and Forecast of Absence in Megacities of the Russian Federation

The aim of this study is to identify the potential of neural network solutions for transforming educational models and managing career trajectories in the creative industries of Russian megacities – Moscow, St. Petersburg, Yekaterinburg, and Novosibirsk. The results of students’ sociological research and expert assessments are used as an empirical basis. The results showed that the students confidently possess theoretical knowledge in their professional field, demonstrate high motivation and a level of soft skills. At the same time, persistent deficits have been identified in areas such as programming for creative applications, data analysis, and working with neural network tools, as well as differences in the perception of digital competencies by students and experts: employers in megacities are more likely to focus on employees’ ability to learn quickly, adaptability, and practical experience, while students, they tend to overestimate the role of academic knowledge. These gaps actualize the task of transforming the content of educational programs with an emphasis on flexible digital tracks, project activities and neural network tools for career planning.