Explainer / Published 2026-11-04

Data centers are renting retired jet engines to skip a seven-year grid wait

TechCrunch reporter Aditya Mehta described the trade plainly: for developers stuck in those lines, the main draw is how quickly the units can be running. Rystad Energy analyst Audun Martinsen told the Times that with jet-powered units a data center can be running in 24 months, against roughly seven years for a comparable grid connection in Northern Virginia.

(See the reader poll and source context below).

xAI has installed eight converted jet turbines in Mississippi, and the units can put a data center online in about 24 months while a Northern Virginia grid hookup takes seven years.

Flat editorial illustration of a large circular jet engine nacelle with pale turbine spokes on the left, three cables running right into a low grey building with vent slots.
Conceptual editorial illustration of converted aircraft engines supplying a data center; it is not a photograph of any company site.

What do the sources establish?

Recorded source context. No verified social reaction quotes or aggregate vote results are supplied.
Platform / SourceCore Stance / QuoteEngagement MetricTimestamp
Data centers are turning to old jet engines as the wait for power growsReported context: [object Object] [object Object] [object Object] [object Object]Not recorded
High Demand for Gas Turbines Is Pushing Out Deliveries to 2031, Mitsubishi Power SaysReported context: [object Object] [object Object] [object Object]Not recorded

THE SHORT VERSION

  • Some AI data centers are making their own electricity with jet engines pulled from retired aircraft and rebuilt to burn natural gas, TechCrunch reported, citing the New York Times.
  • The draw is speed: a jet-powered unit can have a data center running in about 24 months, while a 100-megawatt grid connection in Northern Virginia takes roughly seven years, according to the International Energy Agency.
  • xAI installed eight converted turbines in Mississippi for its Colossus 2 campus, and the trade-offs are real: the engines are less efficient and pollute more than turbines built for conventional gas plants.

Aircraft engines behind the fence

Stuck in years-long queues for grid connections and new turbines, some AI data centers are making their own electricity with converted jet engines, TechCrunch reported, citing the New York Times. The engines, pulled from retired aircraft and rebuilt to burn natural gas, are not anyone's idea of a permanent power plant, but they are another sign of how far power supply has fallen behind the AI buildout.

TechCrunch reporter Aditya Mehta described the trade plainly: for developers stuck in those lines, the main draw is how quickly the units can be running. Rystad Energy analyst Audun Martinsen told the Times that with jet-powered units a data center can be running in 24 months, against roughly seven years for a comparable grid connection in Northern Virginia. Speed, not efficiency, is the product.

Twenty-four months against seven years

The comparison is the story. Hooking up 100 megawatts to the grid in Northern Virginia takes about seven years, according to the International Energy Agency, a figure TechCrunch used to frame the gap. A converted engine does not wait in an interconnection queue; it burns gas on site and starts producing power within months of delivery. The building can be standing before the utility has finished studying the request.

The queue is not only about wires. Bloomberg reported that demand for natural gas turbines is outpacing manufacturing capacity, with the chief executive officer of Mitsubishi Power's Asia Pacific arm saying deliveries now land around 2031. That is the timeline data centers are trying to escape, and it applies to the equipment they would otherwise buy. Capital cannot buy a machine nobody is building yet.

Eight turbines in Mississippi

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. These are engines that once carried passengers.

The practice has spread past one company. In 2025, OpenAI followed with gas turbines at its first Stargate site in Abilene, Texas. Crusoe, the Denver-based startup building that campus, ordered 13 of ProEnergy's converted units in April, then walked away from a $1.25 billion deal to buy 29 natural gas turbines from Boom Supersonic in September. Each order is a schedule decision first.

When the utility says 2030s

The delays are already costing 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 could not deliver enough power until the early to mid-2030s. On-site generation is bought to avoid exactly that outcome, at a price per megawatt that nobody calls cheap. A date a decade out is not a plan.

Policy pushes the same way. The Trump administration has been encouraging data centers to generate their own electricity, which lowers the political cost of going off-grid. This site has covered the grid-protection push to make large loads pay for the capacity they need, and the Memphis data center fight that ran alongside the turbine installation.

The efficiency and emissions trade-off

Converted jet engines come with trade-offs. They are 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 rather than a fixture of the grid. Lower efficiency also means more fuel burned for each megawatt.

Some experts expect efficiency and environmental concerns to grow in importance in a year or two, TechCrunch reported, which would make today's arithmetic look short-sighted. The engine is a bridge technology, bought because the alternative is waiting years for firm supply, not because it is cheap or clean per megawatt delivered. Bridges get replaced once the road opens, and nobody pretends otherwise.

Why speed beats efficiency now

For a hyperscaler, a delay is a stranded asset. A campus built for accelerators earns nothing while it waits for a connection, so a costlier, dirtier megawatt can still be the rational purchase if it arrives two years earlier. The engine is a financial instrument as much as a power source. Idle capital is the one cost a buildout cannot amortise.

This site has tracked how OpenAI's compute buildout has been renamed and re-scoped around power constraints, and how Meta's bond sale is financing campuses that need firm supply. The jet engine is what those plans look like when the grid cannot move at their pace, and the schedule is set by a utility that answers to regulators.

What is established, what is not

Established: some AI data centers are using converted jet engines; xAI installed eight in Mississippi for Colossus 2; Crusoe ordered 13 ProEnergy units for Abilene; a 100-megawatt grid connection in Northern Virginia takes about seven years by the IEA's estimate; Mitsubishi Power deliveries are running to about 2031. Not established: how much electricity the converted fleet produces in total, and what it emits.

The open question is whether these engines stay a stopgap. If grid queues shorten or turbine capacity expands, the economics flip back toward the utility, and the engines become scrap again. Until then, the loudest signal from the AI buildout is not a model launch but a retired aircraft engine burning natural gas in Mississippi, bought for the calendar rather than the fuel bill.

Sources & reporting limits

  1. Data centers are turning to old jet engines as the wait for power grows
  2. High Demand for Gas Turbines Is Pushing Out Deliveries to 2031, Mitsubishi Power Says
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