AI is changing Supply Chain skills from functional expertise to decision engineering

AI changes Supply Chain talent requirements because it shifts work from executing repeatable tasks toward defining, supervising and improving decision systems. The planner, buyer or logistics manager does not disappear; their role changes from functional execution to decision engineering.

This means understanding the decision, the business rule, the data source, the recommendation logic and the conditions under which automation should be overridden. It also requires enough technical literacy to challenge AI outputs without turning every planner into a data scientist.

The practical implication is workforce design. Companies should not only train people on AI tools. They need to redesign roles around decision ownership, escalation rights, data stewardship and continuous improvement of planning and execution rules.