Russia in the AI-Driven Economic Rivalry: Benchmarking the TOPSIS Model with the US and China
Öz
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.
Anahtar Kelimeler
Kaynakça
- Acemoglu D, ‘The simple macroeconomics of AI’ (2025) 40(121) Economic Policy 13–58 https://doi.org/10.1093/epolic/eiae042
- Balcerzak AP, ‘Technological Potential of European Economy. Proposition of Measurement with Application of Multiple Criteria Decision Analysis’ (2016) 12(3) Montenegrin Journal of Economics 7–17 https://doi.org/10.14254/1800-5845.2016/12-3/1
- Cazzaniga M and others, Gen-AI: Artificial Intelligence and the Future of Work (IMF Staff Discussion Note SDN2024/001, International Monetary Fund 2024).
- Dabija D-D and Vătămănescu E-M, ‘Artificial intelligence: The future is already here’ (2023) 14(4) Oeconomia Copernicana 1053–1057 https://doi.org/10.24136/oc.2023.031
- Filippucci F and others, ‘The impact of Artificial Intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges’ (2024) OECD Artificial Intelligence Papers 15 (OECD Publishing) https://doi.org/10.1787/8d900037-en
- Fiszer JM, ‘The Rivalry Between the United States, China and Russia in the Process of Shaping a New International Order in the 21st Century’ (2020) 48(1) Studia Polityczne 11–33.
- George AS, ‘Artificial intelligence and the future of work: job shifting not job loss’ (2024) 2(2) Partners Universal Innovative Research Publication 17–37 https://doi.org/10.5281/zenodo.10936490
- Gillham J, The economic impact of artificial intelligence on the global economy (Price Waterhouse Coopers, London 2017).
Ayrıntılar
Birincil Dil
İngilizce
Konular
Bölgesel Çalışmalar, Uluslararası Güvenlik, Uluslararası İlişkilerde Siyaset
Bölüm
Araştırma Makalesi
Yazarlar
Ahmet Turan
*
0000-0002-0227-6161
Türkiye
Yayımlanma Tarihi
18 Mart 2026
Gönderilme Tarihi
19 Aralık 2025
Kabul Tarihi
26 Ocak 2026
Yayımlandığı Sayı
Yıl 2026 Sayı: 69