The AI Bubble Meets the Supply Chain: Where Is the Productivity?
· Source: logisticsviewpoints.com
In short
Reacting to Citadel founder Ken Griffin's warning about AI bubbles, the article argues that supply chain operators should judge AI by operational outcomes rather than feature lists or model sophistication. It contrasts task-level efficiency gains with measurable enterprise returns across TMS, WMS, and supply chain planning, and stresses that value comes from coordinated decisions spanning visibility, planning, transportation, and warehousing. The author also suggests that cheaper computing after a possible infrastructure correction could make AI viable for far more routine shipment, warehouse, and procurement decisions, while urging buyers to assess interoperability, vendor resilience, and total implementation cost.
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Tags: supply chain, logistics, warehousing, transportation, forecasting, ROI