US voters back data center construction limits
Initial election returns show voters approved about two dozen measures designed to restrict or block data center construction across 10 states, according to Axios. The restrictions were among 41 data center proposals on ballots, with some results still outstanding in Arkansas and North Dakota.
Democrat Gina Hinojosa won the Texas governor race after campaigning to preserve a moratorium on data center construction until lawmakers address electricity, water, air and property rights. Texas accounts for 41% of new US data center capacity expected in 2028, and a pause lasting more than six months could delay projects in the state.
Democrats also won governor races in Ohio, Georgia and Arizona, the three states behind Texas in planned new capacity. The winners in Ohio and Georgia support restrictions, although their specific policies remain unclear. Nearly two thirds of US data center capacity planned for 2028 could face delays. The results also weighed on AI stocks overnight.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Nov 4 Portugal Plans Renewable Power and Water Rules for Data Centers Nov 4 AWS launches Semarak AI Malaysia Nov 4 Elections Canada Calls for AI Labels in Election Communications Nov 4 Malaysia Probes Alleged Foreign AI Election Campaign Nov 3 Foundation for American Innovation backs OpenAI with national security fair use argumentMore from Data Centers
Nov 4 Oracle Ends Reported $7 Billion Tencent AI Chip Deal Nov 4 Google Plans $15 Billion Malaysia Data Center Expansion Nov 4 Portugal Plans Renewable Power and Water Rules for Data Centers Nov 4 Goodman and Digital Realty Offer AU$715 Million for NEXTDC Stake Nov 4 Aker Calls Microsoft Nscale Contract Loss Minor Ahead of IPOAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Texas poll finds 79% support limits on data centers
Texas Continued Processing Data Center Permits During Abbott Pause
San Diego Council Passes 45-Day Data Center Moratorium
BlackRock CEO Warns Data Center Construction Pause Could Trigger US Recession
Memphis City Council Rejects 18 Month Data Center Pause
Daily AI Brief: the AI news that matters, in your inbox.