# Bad Influence story: US data center freeze scenario: GeekPark model shows AI compute growth slowing, not stopping

Active · 2 articles · 2 sources · First reported 11-11 00:23. Times are ET.
Story page: https://badinfluence.news/story/55918407-f364-4e32-aeb6-adcc5b401ccf

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[Bad Influence external source material begins]
Latest update (11-11 06:58): Economists forecast strong US data center construction in 2027, slowdown after

Overview: GeekPark models an extreme case in which every planned US data center project not yet started is frozen, while projects already under construction finish on schedule. The article estimates US data center capacity would plateau at about 120 to 150GW around 2028, and annual effective compute growth would fall from 12 to 15 times to about 6 times. GeekPark concludes AI development would slow sharply but not stop, with labs shifting effort toward inference, post-training and efficiency work. These figures come from the article's own model and assumptions, not from reported data on actual construction freezes.

A separate Semafor report says economists forecast that US midterm election results will have limited impact on data center construction in 2027 but may trigger a slowdown in later years. JP Morgan projects US AI-related capex will reach at least $1.5 trillion in 2027 and stay largely flat the following year because of political pushback, according to the report. Barclays analysts say AI's economic benefits are diffuse while its costs are relatively concentrated.

Coverage timeline (newest first):
1. 11-11 06:58 · Semafor · Technology · [Economists forecast strong US data center construction in 2027, slowdown after](https://badinfluence.news/items/s7zzdbgu3sn09mcbcfh46ov6w)
2. 11-11 00:23 · GeekPark · [How a US data center freeze could slow AI compute growth](https://badinfluence.news/items/ngkd9h2ir9d7manxjv61qaswi)
[Bad Influence external source material ends]

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