
AI data centers facing years-long grid connection delays are using converted jet engines to generate their own electricity, with xAI deploying eight units in Mississippi and Crusoe ordering 13 for its Abilene, Texas Stargate site, according to the New York Times.
AI-generated summary
AI data centers face years-long waits for grid connections and new turbines. In Northern Virginia, hooking up 100 megawatts to the grid takes about seven years according to the International Energy Agency. Microsoft pulled out as anchor customer for Nscale's Loughton, England data center after the local utility said it could not deliver enough power until the early-to-mid 2030s. The Trump administration is encouraging data centers to generate their own electricity.
Stuck in years-long lines for grid connections and new turbines, some AI data centers are making their own electricity with converted jet engines, the New York Times reported Tuesday.
The engines, pulled from retired aircraft and rebuilt to burn natural gas, aren't anyone's idea of a permanent power plant. But they're another sign of how far power supply has fallen behind the AI buildout.
For companies stuck in those lines, the main draw of converted jet engines is how quickly the engines can be up and running. "It's all about getting power as fast as possible," Rystad Energy analyst Audun Martinsen told the Times. With jet-powered units, "they can have a data center running in 24 months," he said.
Hooking up 100 megawatts to the grid in Northern Virginia, by comparison, takes about seven years, according to the International Energy Agency. Most power capacity is expected to come on by 2031, an executive at Mitsubishi Power, one of the world's top makers of power generation equipment told Bloomberg last week.
In some cases, these delays are already costing some data center operators business. Last month, Microsoft pulled out as the anchor customer for Nscale's data center in Loughton, England, after the local utility said it couldn't deliver enough power until the early-to-mid 2030s.
Elon Musk's xAI is among the companies already using the engines, having installed eight converted jet-engine turbines in Mississippi to help power its Colossus 2 data center in Memphis, the Times reported, citing state permits and satellite imagery. The units come from ProEnergy, which rebuilds a GE engine commonly found on Boeing jets.
In 2025, OpenAI followed Musk's lead with gas turbines at its first Stargate site in Abilene, Texas. Crusoe, a Denver-based startup that builds AI data centers, is constructing that Abilene campus and ordered 13 of ProEnergy's converted units in April.
In September, Crusoe walked away from a $1.25 billion deal to buy 29 natural gas turbines from Boom Supersonic, a startup developing a supersonic passenger jet that has also begun selling a version of that jet's engine as a power plant for data centers. A Crusoe spokesperson told TechCrunch at the time that the company still plans to use turbines.
Currently the Trump administration is adding to the pressure by encouraging data centers to generate their own electricity.
Converted jet engines come with trade-offs, though: They're less efficient and pollute more than turbines designed for conventional gas plants and it takes more of them to make the same amount of power, according to the Times. That may ultimately make converted jet engines a short-term play with some experts saying that efficiency and environmental concerns may grow in importance in a year or two.
AI outlook — possibilities, not facts
More AI data center operators will adopt converted jet engines as a short-term power solution while waiting for grid connections
Likely · Within months
Efficiency and environmental concerns will grow in importance within a year or two, potentially limiting long-term use of converted jet engines
Possible · Within months

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