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AI-GOSPLAN 2.0 AS A PLATFORM FOR COORDINATING IMPORT SUBSTITUTION ACROSS THE REGIONS OF THE VOLGA FEDERAL DISTRICT

M. R. Safiullin (), A. S. Grunichev () and G. G. Derzaeva ()

Strategic decisions and risk management, 2026

Abstract: This article examines the potential of the AI-Gosplan 2.0 platform to coordinate import substitution across the regions of the Volga Federal District. Regional import substitution strategies remain largely fragmented, with no common digital platform to coordinate the efforts of regions, industrial enterprises, and government authorities. AI-Gosplan 2.0, a strategic planning system based on self-learning artificial intelligence, could provide a basis for such coordination, but its applicability at the macroregional level remains unexplored. Drawing on analysis, comparison, systematic classification, and structured tabular analysis, the study examined how the platform's capabilities could support import substitution across the district’s industrial sectors. It proposes an original import substitution prioritization matrix that maps and ranks projects according to two criteria: vulnerability arising from import dependence and the regional readiness to replace import with domestic production. The approach adaptats a tool originally designed for federal-level planning to macroregional needs and identifies distinct coordination strategies for projects in each quadrant of the matrix, addressing a gap in the existing literature. The resulting framework can help regional authorities identify import substitution priorities, guide the allocation of public funds, revise regional industrial development programs, and organize interregional cooperation using explicit assessment criteria. It can inform the development and revision of strategies for technological leadership in the Volga Federal District and can be adapted to other Russian microregion to reflect their specific industrial structures.

Date: 2026
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