ADOPTION OF ARTIFICIAL INTELLIGENCE IN THE RUSSIAN EXTRACTIVE INDUSTRY: ANALYSIS OF BARRIERS AND INSTITUTIONAL CONSTRAINTS

This article presents an analysis of the adoption of artificial intelligence technologies in the extractive industry of the Russian Federation, with a focus on identifying barriers and institutional constraints that hinder their diffusion and scaling. The study is based on a comparison of digitalization levels and AI investment volumes in Russia and leading global economies — the United States, China, and the European Union — over the period 2020–2025. The findings show that Russia’s lag in AI adoption in the extractive sector is systemic in nature and is associated with limited access to data, insufficient investment volumes, as well as human capital and infrastructure constraints. The study concludes that a comprehensive approach is required to develop an institutional environment conducive to the adoption of artificial intelligence in the extractive industry of the Russian Federation