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New Trump Administration Energy Rule Would Enable Data Centers with 'Large Loads'
Data centers are being built with unprecedented gusto all over the U.S. The reason for this is fairly well known: the AI business requires gargantuan amounts of electricity and computing power. Every time you use an app like DALL-E to, say, make one of those dumb AI-generated images of Mickey Mouse committing the 9/11 terrorist attacks, you're apparently using as much energy as it takes to charge an iPhone. Now picture how much electricity is being used if millions of Americans do it at the same time. The Trump administration has made it known that it's a friend to the AI industry (it recently launched the AI infrastructure initiative Stargate) and so, it makes perfect sense that its Energy Secretary, Chris Wright, has decided to cut the red tape when it comes to hooking data centers up to the electrical grid. In a statement published Friday, the Energy Department announced its plan to amend current rules to allow organizations that consume a lot of electricity to connect to the grid much faster: "U.S. Secretary of Energy Chris Wright directed the Federal Energy Regulatory Commission (FERC) today to initiate rulemaking procedures with a proposed rule to rapidly accelerate the interconnection of large loads, including data centers, positioning the United States to lead in AI innovation and in the revitalization of domestic manufacturing." Hear that, guys? Chris Wright is apparently such a big fan of large loads that, in a bout of deregulatory fervor, he's now helping to usher in a new era of easier data center connection. While the specifics of Wright's proposed rule are a little bit complicated, the obvious takeaway seems to be an effort to make the regulatory process less onerous on people who want to hook up a lot of servers to the grid. The Register notes that one proposed rule is to "limit the time taken to review connection decisions to 60 days," ostensibly so applicants don't get bogged down in a lengthy review process. In a letter about the proposed rule change published to the government's website, Wright wrote: "To usher in a new era of American prosperity, we must ensure all Americans and domestic industries have access to affordable, reliable, and secure electricity. To do this, large loads, including AI data centers, served by public utilities must be able to connect to the transmission system in a timely, orderly, and non-discriminatory manner. This is an urgent issue that requires prompt attention." He added: "This Administration is committed to revitalizing domestic manufacturing/ and driving American AI innovation.' both of which will require unprecedented and extraordinary quantities of electricity and substantial investment in the Nation's interstate transmission system. We must do so efficiently, fairly, and expeditiously." The data center industry is booming, and, despite all that "bubble" talk when it comes to the AI business, it shows no signs of slowing down. Companies like Nebiusâ€"which most of us had never heard of twelve months agoâ€"are in the process of making themselves essential to large parts of the digital economy. Nebius, which is an AI infrastructure provider (it operates data centers), recently netted a deal with Microsoft, and went in on a robotaxi firm with Uber. Its stock price has also erupted some 350 percent this year, so, suffice to sayâ€"for the momentâ€"it really pays to have a lot of servers.
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Trump administration pushes to get AI data centers on the grid faster
The Trump administration issued a proposal late Thursday that aims to help AI data centers get connected to the electric grid more quickly. Energy Secretary Chris Wright sent the proposal to the Federal Energy Regulatory Commission (FERC) that he hopes will accelerate the connection of data centers to the grid, according to a department press release. Data centers use a large amount of power and in some cases, are expected to raise electricity prices. Wright's rule particularly seems to favor centers that come with their own "dispatchable" power sources -- allowing such facilities to have their studies "expedited." It's not entirely clear how "dispatchable" is defined, but often this refers to fossil fuel and nuclear plants that can be turned on and off at will. It may also refer to renewables if they come with batteries that can store the power they produce. Under law, the secretary is able to send proposals to the independent commission, but it will ultimately be up to FERC whether to go through with it. Currently, the five-member panel has two Democrats and two Republicans. A third Republican was recently confirmed by the Senate but has not yet been sworn in. "To usher in a new era of American prosperity, we must ensure all Americans and domestic industries have access to affordable, reliable, and secure electricity," Wright said in a letter to the commission. "To do this, large loads, including AI data centers, served by public utilities must be able to connect to the transmission system in a timely, orderly, and non-discriminatory manner. This is an urgent issue that requires prompt attention." The administration has been supportive of growing data centers that power AI technology, saying that it needs to win the AI race with China and grow the economy. Critics of AI warn that its demand for power has the potential to raise fuel costs and worsen climate change.
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The Trump administration has proposed new rules to expedite the connection of AI data centers to the electrical grid, aiming to boost American AI innovation and revitalize domestic manufacturing. The move highlights the growing importance of AI infrastructure and its significant energy demands.
The Trump administration has taken a significant step towards bolstering America's artificial intelligence (AI) capabilities by proposing new rules to expedite the connection of AI data centers to the electrical grid. Energy Secretary Chris Wright has directed the Federal Energy Regulatory Commission (FERC) to initiate rulemaking procedures that would accelerate the interconnection of large loads, particularly data centers, to the power grid
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.The proposed rule change aims to streamline the regulatory process for organizations consuming substantial amounts of electricity. One key aspect of the proposal is to limit the time taken to review connection decisions to 60 days, potentially reducing the lengthy review process that applicants currently face
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. The rule particularly favors centers with their own "dispatchable" power sources, allowing such facilities to have their studies expedited2
.Secretary Wright emphasized the urgency of this issue, stating, "To usher in a new era of American prosperity, we must ensure all Americans and domestic industries have access to affordable, reliable, and secure electricity"
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. The administration's decision is driven by two primary factors:Both of these goals require unprecedented quantities of electricity and substantial investment in the nation's interstate transmission system
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.The proposed rule change comes at a time when the data center industry is experiencing significant growth. Companies like Nebius, an AI infrastructure provider, have seen their stock prices soar, with Nebius' stock price increasing by 350 percent this year alone
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. This growth underscores the increasing importance of AI infrastructure in the digital economy.
Source: Gizmodo
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The push for faster grid connections highlights the enormous energy requirements of AI technology. For instance, using an AI app like DALL-E to generate an image reportedly consumes as much energy as charging an iPhone
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. This significant energy consumption has raised concerns among critics who warn that the demand for power has the potential to raise fuel costs and exacerbate climate change2
.While Secretary Wright has proposed these changes, the final decision rests with FERC, an independent commission currently composed of two Democrats and two Republicans, with a third Republican recently confirmed but not yet sworn in
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. The outcome of this proposal could have far-reaching implications for the AI industry, energy sector, and America's competitive position in the global AI race.Summarized by
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