Behind the US$4.2 trillion revenue gap in AI infrastructure

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Behind the US$4.2 trillion revenue gap in AI infrastructure

AI data center plans and computing demand are expanding far faster than physical infrastructure can be built, creating a widening gap between planned and actually deployed compute. A review tracking construction progress and satellite imagery shows that while US data center construction continues to accelerate, bottlenecks in chip supply, advanced packaging, power, transformers and permitting could become key constraints on AI compute deployment.

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