Nvidia Can’t Solve the Two Big AI Buildout Problems
THE SO WHAT
If scarcity and profit margins remain the core constraints on AI buildouts, the bottleneck shifts from chips to capital discipline and workload selection. Teams should ruthlessly prioritize use cases with clear unit economics—cheap experimentation is over when GPU time and power are priced like industrial resources.
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