Artificial Intelligence is frequently hailed as a transformative force for global supply chains, yet the gap between technological promise and operational reality remains a central challenge for industry leaders. In this episode, host Dr. Matthias Winkenbach, Director of Research at MIT CTL, leads a nuanced discussion on the transition from AI hype to the implementation of functional "decision technology."

Joining the discussion are three researchers from MIT CTL who bring diverse perspectives to the AI landscape. Willem Guter of the MIT Intelligent Logistics Systems Lab unpacks the intersection of machine learning and traditional optimization in warehouse robotics, while Dr. Elenna Dugundji, director of the MIT Deep Knowledge for Supply Chain and Logistics Lab, explains the evolution of demand forecasting and the importance of "deep knowledge" in predictive modeling. Dr. Bryan Reimer, founder of the MIT AgeLab’s Advanced Vehicle Technology Consortium, rounds out the discussion by addressing the critical human factor in autonomous systems. Together, they examine the future of AI in sourcing and procurement, the complexities of human-AI interaction, and the necessity of building decision-support tools that are grounded in real-world application rather than speculative promise.

Global food systems produce more than enough to feed the world—yet nearly one-third of all food is lost or wasted. Much of that loss happens far upstream, driven by perishability, cold chain failures, infrastructure gaps, climate pressures, and supply chain inefficiencies that span continents.

In this episode, we’re joined by Dr. Chris Mejía, founder and director of the MIT Emerging Market Economies Logistics Lab, along with Drs. David Hidalgo and Mauricio Gámez, researchers who model solutions for supply chain issues. They unpack why food supply chains are uniquely vulnerable to disruption, especially in emerging markets, and where the biggest opportunities exist to reduce loss. From circular economy models and food recovery strategies to AI-driven forecasting, optimization, and community-based distribution networks, the conversation explores how better logistics, smarter data, and cross-sector collaboration can help redesign food supply chains that are more resilient, sustainable, and equitable.

Rising geopolitical tensions and global trade volatility have revealed a key power struggle: supply chains are a matter of national security. This year’s annual report from the congressional U.S.–China Economic and Security Review Commission warns that China has begun weaponizing key supply chain chokepoints, from critical minerals to foundational semiconductors, creating risks that reach far beyond trade.

In this episode, we’re joined by Livia Shmavonian and Josh Hodges, two commissioners of the U.S.–China Economic and Security Review Commission, along with Professor Yossi Sheffi, Director of the MIT Center for Transportation and Logistics. They discuss key findings from this year’s report: why companies have been slow to recognize the strategic nature of their dependence on China, how subsidies and overcapacity distort global competition, and why innovation remains the United States’ greatest advantage. From U.S. manufacturing limitations to critical mineral processing to market access in China, the conversation explores what’s at stake, what must change, and how companies and policymakers can prepare for a future where supply chain strategy is inseparable from national security.

You can read the full report here.