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AI Compute Hits a Physical Ceiling: The Scaling Constraint Structural Theme

Paradox Alerts structural vocabulary has converged on AI compute bottlenecks across independent keywords. Inference chip demand is up 91% in 3 months. The constraint is foundry capacity, not capital.

AI compute TSMC AVGO NVDA MRVL semiconductor foundry capacity CoWoS

The AI infrastructure build-out has hit a constraint that cannot be resolved by writing a larger check. Three independent structural signals, converging within the same week of March 24, 2026, point to the same underlying reality: the physical capacity to manufacture leading-edge semiconductor packages for AI systems is not expanding as fast as the demand for them. This is a supply-side problem, and its resolution timeline is measured in years.

Why This Is Structural, Not Cyclical

Semiconductor capacity, specifically leading-edge advanced packaging at TSMC (2nm node plus CoWoS and SoIC packagi

Paradox Intelligence Research

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