Orlando, Florida — Lindsay Azim, a Senior Director at Gartner, stood before the Gartner Supply Chain Symposium to deliver a stark, unsentimental audit of the artificial intelligence boom. Corporate logistics networks incinerated an average of $24 million each on AI initiatives in 2025, desperately chasing efficiency miracles that have yet to materialize on the balance sheet. Many of these aggressive technology deployments "have gone over budget and are not expected to produce results for at least a year," Azim said.

The capital markets are currently mispricing the frictionless integration of machine intelligence. While the theoretical capabilities of agentic systems are vast, the physical and administrative reality is a quagmire of cost overruns and structural delays. Azim's presentation correctly identifies the escalating energy appetite of these models as a direct, unhedged logistical risk. Enterprise capital is learning a brutal lesson: purchasing compute is not a magic wand for legacy supply chain friction. It is merely replacing predictable labor liabilities with highly volatile electricity demands and opaque implementation expenses. The fantasy that software will immediately optimize physical freight routing is dissolving. The returns on these massive corporate investments will be brutally deferred, and the immediate future will belong to firms that correctly price the massive thermodynamic cost of integrating neural networks into physical warehouses.