A Review on Sustainable Procurement in the Age of AI: Leveraging Intelligent Systems to Advance U.S. Climate and Economic Resilience

Abstract

This study explores the transformative role of Artificial Intelligence (AI) and intelligent systems in advancing sustainable procurement with a particular focus on U.S. climate and economic resilience objectives. It examines how AI capabilities such as predictive analytics, natural language processing, and machine learning are being applied to improve supplier risk profiling, automate lifecycle emissions tracking, enhance demand forecasting, and enable real-time disruption management. The findings reveal that AI significantly strengthens procurement functions by increasing transparency, optimizing green sourcing, and embedding Environmental, Social, and Governance (ESG) criteria into supplier networks. Furthermore, AI enables the practical implementation of federal initiatives such as “Buy Clean” standards, supports renewable energy and sustainable infrastructure procurement, and enhances supply chain agility in the face of disruptions. Furthermore, the study identifies persistent challenges, including fragmented data, limited supplier disclosure, and the need for coherent policy and governance frameworks to fully harness AI’s potential. Ultimately, AI emerges as a critical enabler of sustainable procurement, aligning public purchasing power, decarbonization goals, and long-term economic resilience with national climate policy.