2026 (23). №1

Problems of Strategic Development of AI Technologies: Institutional Traps and Challenges

For citation: 

Buchinskaia, O. N. (2026). Problems of Strategic Development of AI Technologies: Institutional Traps and Challenges. AlterEconomics, 23(1), 122–143. https://doi.org/10.31063/AlterEconomics/2026.23-1.8

Abstract:

The relevance of this study stems from three key factors: the growing role of digitalization and artificial intelligence in shaping the global landscape, intensifying competition among leading nations in this domain, and the pressing need to overcome Russia’s technological lag. The study examines the problems and prospects for the strategic development of artificial intelligence in Russia against the backdrop of global experience. The research aims to conduct a comprehensive analysis of existing AI development stra­tegies in the world’s leading countries (the USA, China, the EU, and the UK), identify institutional traps and systemic barriers relevant to Russia, and formulate practical recommendations for improving the national strategy in this area. The research is based on an analysis of scholarly literature, a review of strategic do­cuments and AI programs, and monitoring of current developmental trends. The results systematize the key directions of national AI development strategies in other leading nations and identify the main institutional barriers to AI development, both in Russia and worldwide. The study proposes a set of recommendations for overcoming the technological lag, from increasing patent activity and shifting focus toward next-­generation technologies to eliminating institutional problems that limit the potential for integrating AI into the Russian economy and social sphere. The research contributes a comprehensive analysis of institutional challenges facing AI development in Russia, incorporating international experience, and proposes concrete directions for improving the national strategy. The findings can guide governmental AI policies, innovation programs, regulatory enhancements, measures to mitigate digital inequality, and coordination among go­vernmental bodies in the AI sphere.

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Olga N. Buchinskaia — Cand. Sci. (Econ.), Senior Research Associate, Center for Economic Theory, Institute of Economics of the Ural Branch of the Russian Academy of Sciences; https://orcid.org/0000-0002-5421-2522  (29, Moskovskaya St., Ekaterinburg, 620014, Russian Federation; e-mail: buchinskaia.on@uiec.ru).

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