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AI and the circular economy: New opportunities for regional sustainability (International experience)

ISSUE 3, MARCH 2026

PDF  Article PDF Version

Received: 31 October 2025

Accepted: 10 November 2025

Available online: 30 March 2026

Subject Heading: SUSTAINABLE DEVELOPMENT OF ECONOMY

JEL Classification: O44, Q55

Pages: 95-128

https://doi.org/10.24891/sojkbm

Ol'ga S. TARASOVA Corresponding author, Novosibirsk State University of Economics and Management (NSUEM), Novosibirsk, Russian Federation
tosgeo@bk.ru

https://orcid.org/0000-0003-4250-7259

Anna A. ALETDINOVA National University of Oil and Gas – Gubkin University (Gubkin University), Moscow, Russian Federation
andreww@academ.org

https://orcid.org/0000-0002-9257-4735

Subject. This article focuses on the foreign experience in technological, organizational, and social aspects of using artificial intelligence in the context of regional sustainability.
Objectives. The study aims to identify opportunities for using artificial intelligence to support regions' transition to a circular economy.
Methods. For the study, we used the methods of theoretical analysis of foreign scientific sources, systemic and structural analyses of regional economic systems and their sustainability factors, and comparative analysis of AI implementation practices in regions.
Results. The article identifies the aspects of regional transition to a circular economy and organizational mechanisms for it. It also reveals technological capabilities of artificial intelligence, and barriers to its implementation in circular economic models.
Conclusions. Implementing the principles of a circular economy using artificial intelligence tools is promising. The study results can help regional authorities, businesses, and the scientific community to enhance environmental, social, and economic sustainability at the regional level.

Keywords: circular economy, regional resilience, industrial symbiosis, artificial intelligence, digital transformation, secondary resources

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