The Russian education market is on the verge of fundamental changes, with artificial intelligence becoming the key driver of this process. As part of a discussion on the AI Future Stage stage, leading market experts gathered to discuss how neural networks are changing the trajectory of learning — from school to higher education and career building in IT.
The key question concerning the industry today is who exactly bears responsibility for training AI personnel. The panel participants conducted a deep comparative analysis of classical university education and short-term intensive programs, and also assessed the role of universities and online platforms in shaping a new generation of specialists.
Adapting to uncertainty and the role of humans
Special attention was paid to preparing for work in conditions of high uncertainty. The market and technologies are changing faster than educational programs, and this poses a serious challenge to the education system. Experts agreed that the line between automation and teacher responsibility is becoming increasingly blurred. The quality of AI education now directly depends on how quickly it adapts to market demands while preserving the human factor.
The conversation also touched upon the future of intellectual labor. Participants discussed which skills will be most in demand in the coming years and how school and secondary education will transform under the influence of AI. This is not just evolution — it is a paradigm shift where soft skills and the ability to work with neural networks become no less important than fundamental knowledge.
Who sets the trend?
The discussion was moderated by Alena Afanaseva, founder and CEO of BeInCrypto. The speakers included recognized market leaders: Dmitry Botov (co-founder of AI Talent Hub, ITMO), Andrey Komissarov (chief AI specialist at the Synergy corporation and consultant to the Administration of the President of the Russian Federation), Oleg Grinko (director of T-Systema), Ilya Kurmyshev (CEO of Yandex Practicum), and Denis Smetnev (co-founder of Skyeng and uForce). Each of them presented specific cases from market leaders, analyzing both the challenges and prospects of implementing AI in the educational process.
Analyst's comment: In my opinion, the main takeaway from this discussion is that the labor market already requires graduates not just a diploma, but a portfolio of real skills in working with AI. Traditional universities risk losing relevance if they do not integrate neural networks into basic programs. Investors and startups should take a closer look at EdTech projects that offer hybrid learning models — they will become the locomotive of growth in the next 3-5 years.