AI's Role in Supply Chain Management: Challenges and Opportunities

• •Autonomous AI could improve supply chain resilience but needs human oversight.
• •Supply chain disruptions cost the global economy $86 billion in 2025.
• •Agentic AI aims to automate decision-making, closing the gap between detection and action.

As of September 30, 2026, discussions around the role of AI in supply chain management highlight both its potential and limitations. Autonomous AI systems are being explored to enhance supply chain resilience, with an estimated cost of disruptions reaching $86 billion in 2025. However, the transition from detection to action remains a challenge, as many systems still rely on fragmented data and human intervention. The concept of agentic AI is emerging, which aims to automate decision-making processes, thereby closing the gap between insight and action. This shift is expected to improve operational efficiency but requires robust governance and collaboration between public and private sectors. The articles emphasize the importance of trusted data, integrated processes, and human oversight in leveraging AI effectively. Overall, while AI can enhance decision-making speed, it does not eliminate the need for strategic management and human involvement.