A Gartner survey of 140 chief supply chain officers indicates that most supply chain leaders are not yet equipped for broad artificial intelligence integration. Only 17% of surveyed executives are utilizing the technology to pursue "transformational" workflow redesigns, while 83% focus on limited, use-case-specific changes.

Speaking on May 6 at the Gartner Symposium/Xpo in Orlando, Florida, Gartner senior director analyst Caleb Thomson identified systemic barriers preventing faster adoption. Organizations face significant gaps in data readiness, fragmented planning platforms, and a lack of defined roles for data management. These factors limit the ability to embed AI into core operations.

Many organizations are opting for incremental adoption as they build foundational readiness. This approach is intended to prepare systems for future agentic orchestration (AI systems capable of executing complex actions autonomously) across end-to-end supply chain networks.

A Gartner survey of 140 chief supply chain officers indicates that most supply chain leaders are not yet equipped for broad artificial intelligence integration. Only 17% of surveyed executives are utilizing the technology to pursue "transformational" workflow redesigns, while 83% focus on limited, use-case-specific changes.

Speaking on May 6 at the Gartner Symposium/Xpo in Orlando, Florida, Gartner senior director analyst Caleb Thomson identified systemic barriers preventing faster adoption. Organizations face significant gaps in data readiness, fragmented planning platforms, and a lack of defined roles for data management. These factors limit the ability to embed AI into core operations.

Many organizations are opting for incremental adoption as they build foundational readiness. This approach is intended to prepare systems for future agentic orchestration (AI systems capable of executing complex actions autonomously) across end-to-end supply chain networks.