Data Centers Turn to Converted Jet Engines for AI Power
With grid connections and new turbines taking years, AI data center operators are generating their own electricity with repurposed aircraft engines.

Data center operators facing multi-year waits for grid connections and new power turbines are increasingly generating their own electricity with converted jet engines, as the energy infrastructure fails to keep pace with AI investment.
Speed is the selling point
The main advantage of adapted aircraft engines is how quickly they can be switched on. Audun Martinsen, an analyst at Rystad Energy, says a data center using jet-derived units can be operating within 24 months. By comparison, connecting 100 megawatts to the grid in northern Virginia takes about seven years, and most new generating capacity is not expected to arrive until 2031.
The delays are already hurting business. Last month Microsoft pulled out as anchor customer of Nscale's data center project in Loughton, England, after the local utility said it could not deliver enough power until the early or mid-2030s.
xAI, OpenAI and Crusoe
Elon Musk's xAI has installed eight converted jet-engine turbines in Mississippi to help power its Colossus 2 data center in Memphis. They come from ProEnergy, which rebuilds GE engines commonly found on Boeing aircraft.
OpenAI followed in 2025, using gas turbines at its first Stargate site in Abilene, Texas. The startup building that campus, Crusoe, ordered 13 converted units from ProEnergy in April. In September, however, Crusoe dropped a $1.25 billion deal for 29 gas turbines from Boom Supersonic, the supersonic airliner developer that had begun selling its engines as data center power. A Crusoe representative said at the time that the company still planned to use turbines. The Trump administration is adding pressure by encouraging data centers to generate their own electricity.
A short-term fix
The approach carries clear trade-offs. Experts note that converted jet engines are less efficient and more polluting than turbines designed for conventional gas power plants, and many more of them are needed to produce the same output. That suggests the solution may be only a stopgap, with efficiency and environmental concerns likely to grow over the next year or so.
Apps worth a look
Tap the right tiles, add them up, hit the target. Easy to learn, hard to master. Free, for all ages.
Talk to an AI conversation partner; every sentence comes back corrected and explained in your language. 9 languages, A1 to C2.
Open EDIFACT and X12 messages, see every segment explained, convert to JSON/XML, export PDF and Excel. Runs locally, no upload.
Pick who it is for, the occasion and their personality. The search engine reads product descriptions from local shops and ranks what fits. Free, no sign-up.
More from this day
See all →
Drax plans £20bn AI data centre at UK's largest power station

Sort A Brick Turns Used LEGO Into Refurbished Sets at Scale



