Data centers rely on natural gas to power AI expansion

Tech companies are increasingly using natural gas turbines and engines to generate on-site electricity for data centers amid surging AI demand. This trend is leading to a boom in fossil fuel projects, particularly in the United States. Experts warn it could lock in higher emissions and hinder renewable energy adoption.

The artificial intelligence boom has spurred a rapid expansion of data centers, creating intense pressure on electricity supplies. Developers are turning to behind-the-meter power generation, often powered by natural gas, to meet the needs of these facilities. According to Cleanview, at least 46 data centers with a combined capacity of 56 gigawatts are employing this approach.

One notable deal involves Boom Supersonic, which signed a $1.25 billion agreement with developer Crusoe to supply 29 jet-engine gas turbines for OpenAI's data centers across the U.S. In Texas, Crusoe's Stargate campus in Abilene requires 1.2 gigawatts and uses aeroderivative turbines based on airplane models. Meta's data center in El Paso will draw power from more than 800 mobile mini-turbines, while a West Virginia facility has received gas engines from Caterpillar.

Global Energy Monitor reports that natural gas-fired power projects totaling over 1,000 gigawatts are in development worldwide, a 31 percent increase from the previous year. The U.S. accounts for about a quarter of this pipeline, with more than a third dedicated to data centers. In Texas, nearly 58 gigawatts of natural gas power are in planning or construction, with almost half serving data centers exclusively, without grid connections.

This shift raises climate concerns. Researchers at Cornell University estimate the data center build-out could add 44 million metric tons of carbon dioxide emissions by 2030, equivalent to the annual output of 10 million passenger cars. Cara Fogler of the Sierra Club described it as "a huge proposed build-out," noting that existing coal plants and new gas projects may "box out clean energy."

Alternatives like reciprocating engines, used by Titus Low Carbon Ventures, offer flexibility for fluctuating loads but are less efficient than combined-cycle turbines. Jenny Martos of Global Energy Monitor explained that such engines "produce more emissions than the others." In New Mexico, the proposed $165 billion Project Jupiter campus would rely on simple-cycle gas turbines, prompting opposition from the Center for Biological Diversity over its potential emissions.

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President Trump shakes hands with tech CEOs signing the Ratepayer Protection Pledge at the White House, with AI data centers symbolized in the background.
AI:n luoma kuva

Tech giants sign White House pledge to cover AI data center power costs amid backlash

Raportoinut AI AI:n luoma kuva

On March 4, 2026, leading tech firms including Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI signed the non-binding Ratepayer Protection Pledge at the White House, committing to fund new power generation and infrastructure for AI data centers to shield consumers from rising electricity bills. President Trump hailed it as a 'historic win,' but critics question its enforceability amid growing environmental and economic concerns.

A Wired article explores the idea of launching AI data centers into orbit to mitigate their environmental impact. It highlights the rapid growth of these facilities amid the AI boom and their massive energy consumption. The proposal aims to address rising electricity demands and associated global warming.

Raportoinut AI

The rapid expansion of data centres driven by artificial intelligence poses risks to South Africa's already strained electricity and water supplies. Global forecasts predict a sharp rise in energy demands, with local facilities already consuming significant power. Experts urge greater transparency and resource management to mitigate potential shortages.

Democratic Senator Elizabeth Warren and Republican Senator Josh Hawley have called on the Energy Information Administration to require annual reporting on data center energy use. The bipartisan letter, sent on Thursday, aims to address the growing demands of artificial intelligence infrastructure. It highlights concerns over electricity costs for families amid expanding data centers.

Raportoinut AI

Lu Tiezhong, chairman of China National Nuclear Power Co (CNNP), has proposed steady development of nuclear power to meet the surging energy demands of the AI industry and accelerate the construction of a modern energy system. In his submissions to the National Committee of the Chinese People's Political Consultative Conference this year, he highlighted that global tech giants are increasingly turning to nuclear energy to address high-energy consumption challenges from AI computing. As a stable, reliable, and zero-carbon baseload energy source, nuclear power is positioned to support high-load, nonstop facilities like AI data centers.

The Chamber of Deputies' approval of Redata could boost data center installations in Brazil, but the electricity distribution infrastructure poses a major hurdle. Sector executives note that, despite abundant generated energy, grid connections are delayed, particularly in the Southeast. Companies like Ascenty are optimistic about fiscal incentives to attract big techs.

Raportoinut AI

Google has signed a data center deal that includes a 20-year commitment to add new clean power. The project involves building a data center in Michigan.

 

 

 

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