Polterovich, Victor (2026): Искусственный интеллект и развитие механизмов сотрудничества. Forthcoming in: New Economic Association , Vol. 70, No. 1
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Abstract
This paper examines the potential for using artificial intelligence (AI) as a general purpose technology and analyzes the reasons why its use may slow down the growth of public welfare. One of the most important reasons is the increase in inequality, which contributes to the activation of postmodern social movements that deny scientific knowledge and the principle of meritocracy. We argue that effective AI adoption in both developed and developing economies requires institutional transformations that limit competition by strengthening the role of collaborative mechanisms. Countries that fall within the intersection of "coordinated market economies" and "stakeholder capitalism" classes have the greatest chance of success in such transformations. Developing collaborative mechanisms is also essential in intercountry interactions to prevent the nascent arms race based on military AI implementation. Furthermore, a system of agreements between countries is needed to limit the impact of AI on the environment. In Russia, the use of AI can facilitate the development and coordination of national projects, the formation of domestic value-added networks within VAN- consortia, the reduction of interregional inequality in the quality of education and healthcare, and the creation of institutions of catching-up development. To achieve these goals and prevent the threat of increased unemployment, close collaboration between educational organizations, the state, and private companies is necessary.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | Искусственный интеллект и развитие механизмов сотрудничества |
| English Title: | Artificial intelligence and the development of collaboration mechanisms |
| Language: | Russian |
| Keywords: | general purpose technology, distorted innovations, cultural dissonance, economic growth, arms race. |
| Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O30 - General O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O32 - Management of Technological Innovation and R&D O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O38 - Government Policy O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O43 - Institutions and Growth |
| Item ID: | 128245 |
| Depositing User: | Victor Polterovich |
| Date Deposited: | 01 Jul 2026 18:40 |
| Last Modified: | 01 Jul 2026 18:40 |
| References: | Acemoglu D., Johnson S. (2024). Power and progress: Our thousand-year struggle over technology and prosperity. Moscow: AST. 544 p. (in Russian). Originally published in 2023, N.Y.: Public Affairs. 595 р.] Bolotskikh M., Dorokhova M., Serov I., Shurkin M., Babaeva S., Ermolaev D. et al. (2025). Artificial Intelligence in Russia–2025: Trends and prospects. Moscow: Yakov i Partnery. 119 p. (in Russian). Dementiev V.E (2026). Artificial intelligence: Social risks and economic opportunities. Journal of the New Economic Association, 1 (70), *–* (in Russian). Kapeliushnikov R.I. (2025). Artificial intelligence and the problem of siguilarity in economics. Voprosy Ekonomiki, 5, 5–45 (in Russian) DOI: 10.32609/0042-8736-2025-5-5-45 Polterovich V.M. (2016). Institutions of catching-up development (on the project of a new model for economic development of Russia). Economic and Social Changes: Facts, Trends, Forecast, 5 (47), 34–56 (in Russian). Polterovich V.M. (2021). Collaborative hierarchies. Voprosy Ekonomiki, 7, 31–48 (in Russian) Polterovich V.M. (2024). The formation of domestic value-added networks. Journal of the New Economic Association, 3 (64), 251–257 DOI: 10.31737/22212264_2024_3_251-257 (in Russian). Polterovich V.M. (2026). the evolution of the mechanism of social development: An attempt at a four-factor analysis (submitted for publication). (In print.) (In Russian). Troshchinskiy P.V. (2026). Digitalization and artificial intelligence: China’s experience. Journal of the New Economic Association, 1 (70), *–* (in Russian). Acemoglu D. (2023). Distorted innovation: Does the market get the direction of technology right? American Economic Association Papers and Proceedings, 113, 1–28. Cao L. (2024). AI robots and humanoid AI: Review, perspectives and directions. arXiv preprint, arXiv: 2405.15775, 2024. Chui M., Hazan E., Roberts R., Singla A. (2023). The economic potential of generative AI. N.Y.: McKinsey&Company. 62 p. Available at: https://cloudeurope.nl/images/Downloads/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf Daios A., Kladovasilakis N., Kelemis A., Kostavelis I. (2025). AI applications in supply chain management: A survey. Applied Sciences, 15 (5), 2775. Fitzpatrick M., Berman J. (2016). Cultural dissonance in tertiary education. MAI Journal, 5, 137–149. Gjølberg M. (2009). Measuring the immeasurable? Constructing an index of CSR practices and performance in 20 countries. Scandinavian Journal of Management, 25 (1), 10–22. Governing AI (2023). Governing AI for Humanity. Interim report. United Nations. 28 p. Available at: https://www.un.org/sites/un2.un.org/files/ai_advisory_body_interim_report.pdf?ysclid=mlnq80cimq251280786 Governing AI (2024). Governing AI for Humanity. Final Report. United Nations. 100 p. Available at: https://www.un.org/sites/un2.un.org/files/governing_ai_for_humanity_final_report_en.pdf?ysclid=mlnqan9f6l941649786 Hall P.A., Gingerich D.W. (2009). Varieties of capitalism and institutional complementarities in the political economy: An empirical analysis. British Journal of Political Science, 39 (3), 449–482. Hall P.A., Soskice D. (2001). An introduction to varieties of capitalism. In: P.A. Hall, D. Soskice (eds.). Varieties of capitalism: The institutional foundations of comparative advantage. N.Y.: Oxford University Press. Korinek A., Stiglitz J.E. (2025). Steering technological progress. Institute for New Economic Thinking, Working paper, 232. 42 p. Othengrafen F., Sievers L., Reinecke E. (2025). From vision to reality: The use of Artificial Intelligence in different urban planning phases. Urban Planning, 10. Article 8576. DOI: 10.17645/up.8576 Rashid A.B., A.K. Kausik (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277. DOI: 10.1016/j.hybadv.2024.100277 Skouloudis A., Isaac D., Evaggelinos K. (2016). Revisiting the national corporate social responsibility index. International Journal of Sustainable Development & World Ecology, 23, 61–70. Strand R., Freeman R.E. (2015). Scandinavian cooperative advantage: The theory and practice of stakeholder engagement in Scandinavia. Journal of Business Ethics, 127(1), 65–85. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/128245 |

