LEVERAGING ARTIFICIAL INTELLIGENCE FOR ECONOMIC DEVELOPMENT: INNOVATIONS IN CIRCULAR ECONOMY AND WASTE REDUCTION STRATEGIES
DOI:
https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp205-212Abstract
The integration of Artificial Intelligence (AI) into the circular economy offers transformative solutions to the global challenge of waste management. This article explores the role of AI-driven innovations in promoting waste reduction, resource optimization, and sustainability. Through case studies such as AMP Robotics in the U.S. and ZenRobotics in Finland, the study analyzes how AI enhances waste sorting, recycling efficiency, and product lifecycle management. The findings underscore that AI not only contributes to environmental sustainability but also promotes economic opportunities by optimizing resource loops and minimizing waste generation.
Keywords:
artificial intelligence circular economy waste reduction recycling sustainability smart sortingReferences
Akter, U.H.; Pranto, T.H.; Haque, A.K.M. (2022) Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review. arXiv, arXiv:2205.01042.
Barteková, E.; Börkey, P. (2022) Digitalisation for the Transition to a Resource Efficient and Circular Economy. Available online: https://www.oecdilibrary.org/content/paper/6f6d18e7-en (accessed on 13 February 2023).
Chlingaryan, A.; Sukkarieh, S.; Whelan, B. (2018) Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review. Comput. Electron. Agric. 151, 61–69.
Da Silva, T.H.H.; Sehnem, S. (2022) The circular economy and Industry 4.0: Synergies and challenges. Rev. Gestão, 29, 300–313. [CrossRef]
Elghaish, F.; Matarneh, S.T.; Edwards, D.J.; Rahimian, F.P.; El-Gohary, H.; Ejohwomu, O. (2022) Applications of Industry 4.0 digital technologies towards a construction circular economy: Gap analysis and conceptual framework. Constr. Innov., 22, 647–670. [CrossRef]
Ellen MacArthur Foundation. (2020). Artificial Intelligence and the Circular Economy. Retrieved from https://ellenmacarthurfoundation.org
Ghoreishi, M.; Happonen, A. (2020) New promises AI brings into circular economy accelerated product design: A review on supporting literature. E3S Web Conf. EDP Sci., 158, 06002.
Kholikova R. (2024). Experience of Foreign Countries in Application of AI Instruments to Ensure the Economic Security of Industrial Enterprises - DTAI–2024. https://dtai.tsue.uz/index.php/DTAI2024/article/view/rukhsora.
Kholikova R.S. (2024). Aspects of assessing the economic security of industrial clusters in Uzbekistan. Economic Development and Analysis: Shafi Science. Vol. 2 No. 6 (2024). 30-06-2024 https://e-itt.uz/index.php/eitt/article/view/1397 https://www.researchgate.net/publication/382195538_ASPEKTY_OCENKI_EKONOMICESKOJ_BEZOPASNOSTI_PROMYSLENNYH_KLASTEROV_V_UZBEKISTANE.
Kholikova R.S. (2024). Economic security of industrial enterprises: experience of foreign countries in application of artificial intelligence instruments. “Raqamli iqtisodiyot va sun’iy intellekt texnologiyalarining jamiyat rivojlanishidagi ahamiyati” mavzusidagi xalqaro ilmiy-amaliy konferensiya, Tоshkеnt, O‘zbekiston.
Kholikova R.S. (2025). Experience of Developed Countries in Implementing AI Tools in The Process Of Ensuring Economic Security Of Industrial Enterprises. “Raqamli texnologiyalar davrida biznes boshqarishdagi tendensiyalar: amaliy takliflar va imkoniyatlar” mavzusida Xalqaro ilmiy-amaliy anjuman. 2025-yil 12 aprel, pp.37-42.
Macarthur, E.; Cowes, U. (2019) Artificial Intelligence and the Circular Economy; Ellen MacArthur Foundation: Cowes, UK.
Makov, T.; Shepon, A.; Krones, J.; Gupta, C.; Chertow, M. (2020) Social and environmental analysis of food waste abatement via the peer-to-peer sharing economy. Nat. Commun. 11, 1156.
Ogunmakinde, O.E.; Sher, W.; Egbelakin, T. (2021) Circular economy pillars: A semi-systematic review. Clean Technol. Environ. Policy, 23, 899–914. [CrossRef]
Prioux, N.; Ouaret, R.; Hetreux, G.; Belaud, J.P. (2023) Environmental assessment coupled with machine learning for circular economy. Clean Technol. Environ. Policy, 23, 689–702.
Roberts, H.; Zhang, J.; Bariach, B.; Cowls, J.; Gilburt, B.; Juneja, P.; Tsamados, A.; Ziosi, M.; Taddeo, M.; Floridi, L. (2022) Artificial intelligence in support of the circular economy: Ethical considerations and a path forward. AI Soc., 114. [CrossRef]
Schneider, S. (2019) The impacts of digital technologies on innovating for sustainability. In Innovation for Sustainability; Springer: Berlin/Heidelberg, Germany, pp. 415–433.
Shumway, R.H.; Stoffer, D.S.; Stoffer, D.S. (2000) Time Series Analysis and Its Applications; Springer: Berlin/Heidelberg, Germany, Volume 3.
Stahel, W.R.; MacArthur, E. (2019) The Circular Economy: A User’s Guide; Routledge: London, UK.
ZenRobotics. (2023). Smart Recycling Technology. Retrieved from https://zenrobotics.com.
Zhou, Z.H. (2021) Machine learning; Springer Nature: Berlin/Heidelberg, Germany.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
