The Bottleneck Nobody Is Pricing In: Where AI Compute Really Breaks

Every layer that looks solved hides another constraint beneath it. §1 The Illusion of Infinite Compute The headlines say NVIDIA is winning. The hyperscalers are spending. The models are getting bigger. But the real question is not where demand is going. It is where compute, physically, can still be built fast enough to meet it. The harder answer requires tracing the full physical stack — from silicon wafer, through memory stack, through packaging interposer, through substrate material — and asking at each layer: can this actually scale at the speed the demand curve requires? ...

March 21, 2026

Infrastructure-Led Leading Indicators in Technology Investment Cycles: Evidence from the Semiconductor Industry

Huang, Po-Sung (Sinclair) (2026) | SSRN Working Paper No. 6285318 Posted: February 22, 2026 | Under Review This paper examines infrastructure-based leading indicators as predictive signals for technology investment cycles, with empirical evidence from the semiconductor industry. The analysis demonstrates how physical infrastructure constraints precede and predict shifts in capital allocation patterns across the semiconductor value chain. View on SSRN → Note: This is a preprint under peer review. All data collection, statistical analysis, results, and interpretations are the author’s own.

February 22, 2026