EVENT: Hidden AI supply chain risks move into the planning governance agenda

An upcoming LinkedIn event titled The Hidden Risks of AI in Supply Chain highlights a growing concern for operations leaders: AI adoption is accelerating across planning, sourcing, logistics and execution, but the associated risks are often less visible than the productivity gains. These risks include opaque models, third-party dependencies, data exposure, model drift and weak accountability across the AI lifecycle.

This matters because many Supply Chain AI initiatives now sit between critical ERP, APS and execution systems. When AI recommendations influence forecasts, inventory positions, supplier priorities or allocation decisions, weak controls can create operational, cyber and governance exposure. Public cyber guidance on AI and machine learning supply chains warns that AI components can introduce risks across data, models, infrastructure, software and third-party services, and recommends lifecycle-level supply chain assessment.

The impacted audience includes supply chain executives, planning leaders, IT teams, data owners, procurement and governance functions deploying AI-enabled tools. The planning relevance is direct: AI should not only be assessed for forecast accuracy or automation potential, but also for explainability, override rules, data lineage, supplier accountability and incident response. More details are available on the event page.