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AWS Puts $1 Billion Behind Data Center Communities as Its CEO Warns 100 Moratoriums Could Cost the US the AI Race

AWS Puts $1 Billion Behind Data Center Communities as Its CEO Warns 100 Moratoriums Could Cost the US the AI Race

AWS CEO Matt Garman published a 3,000+ word blog post on Friday warning that the 100-plus data center moratoriums under consideration across the US could cost the country the AI race. Amazon paired the message with a $1 billion, five-year Built Together community fund, a pledge to stop using NDAs with government agencies, and commitments to publish annual energy and water figures. Amazon expects about $220 billion in capex this year, much of it AI infrastructure.

Amazon Web Services CEO Matt Garman has published a more than 3,000-word blog post urging Americans to support the data center buildout, warning that the roughly 100 local moratoriums now under consideration across the United States could hand the AI race to other countries. "If these measures are enacted, the US could be writing its own losing ticket to this race, and the consequences would last generations," Garman wrote in the post, published Friday.

The unusually combative essay lands as the data center industry faces its most organized public backlash yet. Research group Data Center Watch reported that local opposition blocked or delayed at least 120 US data center projects worth nearly \$200 billion in the first half of 2026 alone. Polling cited by the Associated Press found about six in ten Americans support limiting the number of new data centers, with majorities concerned about electricity prices and water supplies.

Garman framed the buildout as the largest infrastructure project since the interstate highway system, opening with what he called a lesson from World War II about the need for national transportation networks. He argued that the countries that lead in AI will shape the technology and capture most of its economic and national security benefits. He also claimed — without offering evidence — that "there are widespread reports of various countries intentionally seeding misinformation in the US about data centers to trick us into slowing down." The Verge noted that claim is Garman's own assertion, not a documented finding.

Alongside the blog post, Amazon announced a new program called Built Together: more than \$1 billion in spending over the next five years for communities that host its data centers, with local residents helping decide how the money goes toward education, job training, energy affordability, and water and energy conservation. Amazon said it has already provided more than \$1 billion to data center communities over the past three years.

The company also codified a set of "Data Center Commitments": it will stop using nondisclosure agreements with government agencies on data center projects, install lower-emission backup generators at new sites, publish annual energy and water-use figures, and pay enough for electricity so local power bills do not rise. The NDA pledge follows letters from Representative Jamie Raskin to Amazon, Google, Meta and Oracle probing the secret deals, according to The Wall Street Journal. Microsoft made a similar pledge earlier this year, and Meta announced a comparable \$1 billion community fund in August.

Amazon said in July that it now expects to spend about \$220 billion in capital expenditures this year, up from a prior estimate of \$200 billion, with much of the increase going to AI infrastructure. The stakes are enormous for the company: AWS remains the backbone of Amazon's profits, and the compute buildout is central to its artificial intelligence push.

The mix of concessions and warnings underscores how politically charged data centers have become heading into the US midterm elections. Garman's post suggests the industry has concluded that community opposition — not permitting or financing — is now the binding constraint on AI infrastructure, and that it is willing to trade transparency and money for the right to keep building.

Compiled from AP, The Verge and Gizmodo reporting.

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