The AI Impact Timeline: What to Expect
AI's influence on supply chain management is unfolding in stages. Routine tasks like planning, inventory tracking, and demand forecasting will see significant automation by 2029, with about 45% of these activities being handled by AI. This transformation is already starting to impact roles.
The early wave of AI impact will be felt by junior supply chain coordinators and logistics planners. Without AI fluency, these roles face significant displacement as early as 2026, highlighting the immediate need for upskilling and adaptation.
The mid-wave transformation sees AI becoming integral to more complex operations. While specific dates are not provided for the mid-wave, the trend indicates a continued integration of AI into predictive analytics and logistics platforms, requiring professionals to evolve their skill sets.