{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T18:47:25Z","timestamp":1781376445783,"version":"3.54.1"},"reference-count":95,"publisher":"Institute for Operations Research and the Management Sciences (INFORMS)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["M&amp;SOM"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:p>Problem definition: Artificial intelligence (AI) is rapidly transforming the research and practice of supply chain management. Yet its impact depends on how effectively it is integrated with the theories, methods, and fundamental principles of operations management (OM), which must also evolve to account for the informational, incentive, and institutional changes brought by AI. The OM community has an important role and responsibility to lead in shaping not only how AI transforms supply chains but also how the supply chains that enable AI are designed to be sustainable, resilient, and equitable. Methodology\/results: This vision statement organizes the discussion around five layers of the interaction between AI and supply chain management: intelligence, execution, strategy, human, and infrastructure. It synthesizes recent research and industry practice to show how AI enhances forecasting, planning, decision making, risk management, and human\u2013machine collaboration and also examines the supply chains that support AI. Finally, it highlights persistent challenges in data quality, model integration, governance, and workforce adaptation. Managerial implications: Realizing AI\u2019s promise in supply chain management requires reliable data and infrastructure, integration of learning and optimization, transparent and explainable decision systems, and a long-term commitment to human\u2013AI collaboration. Together, these elements form the foundation for resilient, adaptive, and trustworthy supply chains in the AI era.<\/jats:p>","DOI":"10.1287\/msom.2025.1065","type":"journal-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:52:52Z","timestamp":1774543972000},"page":"687-705","source":"Crossref","is-referenced-by-count":2,"title":["OM Forum\u2014Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community"],"prefix":"10.1287","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2474-3875","authenticated-orcid":false,"given":"Maxime C.","family":"Cohen","sequence":"first","affiliation":[{"name":"Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 0G4, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9248-5153","authenticated-orcid":false,"given":"Tinglong","family":"Dai","sequence":"additional","affiliation":[{"name":"Carey Business School, 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