Geography of Artificial Intelligence Technologies in Russia

Stepan Zemtsov

Regional Research of Russia, 2024, vol. 14, issue 4, 525-536

Abstract: Abstract The geography of innovation makes it possible to identify spatial patterns of creation, implementation, and diffusion of new technologies, but with the development of communications, an illusion appeared that space is insignificant. In accordance with the aim of the study, the article shows that creation and implementation of artificial intelligence (AI) as one of the radical innovations cannot be widespread. It will be concentrated in centers with high innovation potential and specialized tacit knowledge, where the intensity of knowledge spillovers is higher. In Russia, an education in AI can be obtained in 21 regions, research is conducted in 35, and technology is being developed in 40. The article proposes a rating of regional potential for AI creating, assessing scientific and technological development and density of the main elements of regional innovation ecosystems. The rating shows a high concentration of potential in the largest urban agglomeration, Moscow, and several creative cores: Moscow oblast, St. Petersburg, the Republic of Tatarstan, and Novosibirsk oblast. Sixteen centers have been identified capable of both creating and implementing certain AI technologies: Sverdlovsk, Nizhny Novgorod, Chelyabinsk, Samara, Tomsk, and Rostov oblasts, Krasnodar krai, etc.; 23 regions that are predominantly acceptor centers using AI advanced production technologies and 41 regions with minimal potential. Leading regions may receive priority attention and funding by investors. In acceptor regions, public policy priority may be given to supporting production automation, and in lagging regions, preference may be given to increasing the population’s receptivity to digital technologies.

Keywords: geography of innovation; digital economy; technology change; innovation ecosystem; Russian regions; science and technology policy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1134/S2079970524600525

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