RUSSIA IN THE AI-DRIVEN ECONOMIC RIVALRY: BENCHMARKING THE TOPSIS MODEL WITH THE US AND CHINA
RUSSIA IN THE AI-DRIVEN ECONOMIC RIVALRY: BENCHMARKING THE TOPSIS MODEL WITH THE US AND CHINA

Summary/Abstract: The main game-changing feature of Artificial Intelligence (AI) in the contemporary global economy lies in its direct and proportional contribution to national economic performance. AI has evolved from being a technological innovation into a strategic driver of productivity, competitiveness, and structural transformation. The aim of this study is to benchmark Russia’s position in the global race to develop an artificial intelligence (AI)-driven economic model against the performance of its two principal competitors, the United States and China. By conducting a comparative analysis based on multidimensional indica-tors such as patent generation, investment volume, legal frameworks, the emergence of AI-focused enterprises, funding mechanisms, and institutional readiness, the study seeks to identify Russia’s relative strengths and weaknesses within the evolving landscape of AI-driven economic competitiveness. In this regard, the study employs a benchmarking analysis model. Within the scope of the analysis, the artificial intelligence performance of the sample countries is compared using their scores on indices such as the International Monetary Fund (IMF)-based AI Preparedness Index (AIPI), the Stanford University-based AI Index Report (AIIR), and the Oxford-based Government AI Readiness Index, through Benchmark Model. Within the scope of the model, the rankings in the indices are analysed using the TOPSIS approach in ‘R’. According to the test results, it has been determined that Russia (C* = 0.170) performs very poorly both in terms of AI-related investment capacity and institutional infrastructure, positioning itself significantly behind the United States and China in the global AI economy. This outcome indicates that Russia’s current AI ecosystem lacks the necessary financial resources, policy coherence, and innovation-oriented institutions required to sustain technological competitiveness.

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