# The AI Buildout Has a Physical Speed Limit

Page: https://stenobird.com/podcast/for-humanity-an-ai-risk-podcast-6669100/the-ai-buildout-has-a-physical-speed-limit
Text version: https://stenobird.com/podcast/for-humanity-an-ai-risk-podcast-6669100/the-ai-buildout-has-a-physical-speed-limit.md
Podcast: [For Humanity: An AI Risk Podcast](https://stenobird.com/podcast/for-humanity-an-ai-risk-podcast-6669100)
Published: 2026-05-30T13:58:00+00:00
Episode link: https://theairisknetwork.substack.com/p/the-ai-buildout-has-a-physical-speed
Audio file: https://api.substack.com/feed/podcast/199857074/3f2709b9dd09b1ce69c7824d040ca1cf.mp3
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JSON: https://stenobird.com/v1/public/podcasts/for-humanity-an-ai-risk-podcast-6669100/episodes/the-ai-buildout-has-a-physical-speed-limit
Duration seconds: 3165

## Resource

Most of the AI timeline debate happens in software. Benchmark scores, model releases, the shape of the capability curve. Jon Billow watches a different number for a living: lead times. Billow is on the leadership team at BNS, a firm that manufactures and installs electrical and communication infrastructure. The same critical power equipment his teams put into data centers also goes onto Navy and Coast Guard ships, more than 150 of them. He emailed John Sherman because he thinks the people forecasting AI’s arrival are missing what he sees on the construction side every week. The buildout can only move as fast as its slowest part, and right now almost every part is backed up for years. That email is what got him on the show. Here is the heart of what he laid out. The constraint nobody prices in To bring a large data center online, Billow says, a long list of things has to land at the same time: permitting, grid interconnect, critical power, cooling, and the compute itself. Miss one and the whole project waits. And nearly every item on that list carries a backlog measured in many months, sometimes years. The pinch point he keeps returning to is critical power equipment. According to Billow, the orders all funnel back to roughly five manufacturers, Eaton, ABB, Schneider, GE Vernova among them, and all of them are slammed. He notes that even the US government is having a hard time getting its allocation for ship programs, because it is standing in the same line as every hyperscaler. On top of that, more municipalities are now requiring data centers to bring their own behind-the-meter power generation, which adds another category of equipment backlog and a skill most operators have never needed before. Hooking up to the grid is one thing. Building gas turbines and finding el…

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