
Commentary: The problem with pausing data centers
News ClipThe Daily Gazette·Saline, Washtenaw County, MI·4/6/2026
Congress is considering a bill introduced by Bernie Sanders and Alexandria Ocasio-Cortez to pause data center construction, framed as necessary to address risks associated with AI. However, this commentary argues that such a pause misunderstands technological progress and would hinder AI development and safety. The author points to past failed predictions about AI catastrophes and the lack of a feasible governance regime.
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Gov: Congress, Bernie Sanders, Alexandria Ocasio-Cortez
A bill has been introduced in Congress by Senators Bernie Sanders and Representative Alexandria Ocasio-Cortez, aiming to halt the construction of data centers essential for advanced AI. The proponents argue that the rapid pace of AI development poses significant risks, necessitating a pause to ensure safety and allow governance to catch up.
However, a commentary published in The Daily Gazette critiques this proposed policy, asserting that pausing data center construction would effectively pause AI development itself. The authors, Chris Koopman of the Abundance Institute and Keving Frazier of the University of Texas School of Law, argue that technological progress is incremental and iterative, and that stopping development would prevent the discovery of constraints and the building of institutional knowledge necessary for effective governance and improved safety. They cite examples of past failed predictions of AI catastrophes, noting that systems like GPT-4 have evolved through deployment, leading to improvements like reduced hallucination rates.
The commentary highlights that despite previous calls for a pause on AI development, no feasible governance regime was ever proposed. It suggests that market forces, institutional adaptation, and practical deployment experience have instead led to improvements in safety practices. The authors conclude that the underlying logic behind the proposed data center pause mirrors earlier, mistaken arguments for halting AI development, and that such interventions misunderstand how technology progresses.