Source: SiliconANGLE
The velocity of AI demand is breaking traditional supply chain planning cycles—what worked for enterprise hardware buildouts (quarterly or annual forecasting) cannot absorb the month-to-month swings in chip, power, and cooling requirements. Hardware makers like NVIDIA, AMD, and foundries like TSMC face customers demanding instant capacity and manufacturing leadtimes that haven't shrunk, creating a structural mismatch. The response: shorter planning windows, higher inventory buffers, and more direct customer partnerships to preempt demand. This favors vendors with capital to overbuild and flexibility to rapidly redirect supply—a shift that tilts control of the AI infrastructure value chain toward those with both.