Faced with grid connection queues that stretch on for years and turbine shortages that show no sign of easing, a growing number of artificial intelligence data center operators are turning to an unconventional stopgap: jet engines stripped from decommissioned aircraft, rebuilt, and put to work generating electricity by burning natural gas.

The approach is far from ideal as a long-term energy strategy, but it reflects the widening gap between the pace of AI infrastructure expansion and the ability of conventional power systems to keep up. The urgency driving these decisions is reshaping how the industry thinks about energy procurement and on-site power generation.

Speed Over Efficiency

The central appeal of repurposed jet engines is not cost or environmental performance - it is speed. In an industry where delays in power access translate directly into lost revenue and missed competitive windows, the ability to bring a facility online quickly is worth a significant premium.

"It's all about getting power as fast as possible," Audun Martinsen, an analyst at Rystad Energy, explained in comments to the press. He noted that with jet-powered generation units, operators "can have a data center running in 24 months."

That timeline stands in sharp contrast to the wait times associated with conventional grid connections. According to the International Energy Agency, connecting 100 megawatts of capacity to the grid in Northern Virginia - one of the world's densest concentrations of data center infrastructure - currently takes approximately seven years. An executive at Mitsubishi Power, one of the leading global manufacturers of power generation equipment, recently indicated that the bulk of anticipated power capacity is not expected to come online until 2031.

Power Delays Are Already Costing Operators

The consequences of these delays are no longer abstract. Last month, Microsoft withdrew as the anchor tenant from a data center project being developed by Nscale in Loughton, England. The reason cited was that the local utility provider could not guarantee adequate power delivery until the early-to-mid 2030s - a timeline incompatible with Microsoft's operational requirements.

That kind of disruption is becoming more common as demand for AI computing resources accelerates and the supporting infrastructure struggles to respond at the same pace.

xAI and Stargate Among Early Adopters

Elon Musk's AI venture, xAI, is among the companies that have already deployed this technology. State permits and satellite imagery indicate that xAI has installed eight converted jet-engine turbines in Mississippi to help supply electricity to its Colossus 2 data center located in Memphis. The turbines are supplied by ProEnergy, a company that refurbishes a General Electric engine model widely used on Boeing commercial aircraft.

Earlier this year, OpenAI adopted a similar approach at its first Stargate facility in Abilene, Texas, where gas turbines are being used to supplement power supply. The Abilene campus is being built by Crusoe, a Denver-based startup specializing in AI data center construction. In April, Crusoe placed an order for 13 of ProEnergy's converted units for that site.

Crusoe's path to this point has not been entirely straightforward. Last September, the company walked away from a previously announced agreement worth approximately $1.25 billion to purchase 29 natural gas turbines from Boom Supersonic, a startup primarily known for developing a supersonic passenger aircraft that has also begun marketing a version of its jet engine as a data center power source. Despite canceling that particular deal, Crusoe confirmed at the time that it still intended to rely on turbines as part of its power strategy.

Policy Environment Adds Further Pressure

The current U.S. administration has added another layer of pressure to the situation by actively encouraging data center operators to generate their own electricity rather than depend on the public grid. That policy stance, combined with ongoing grid capacity constraints, has made on-site power generation - however unconventional - an increasingly attractive option for operators who cannot afford to wait.

Significant Trade-Offs Remain

Despite the speed advantage, repurposed jet engines carry meaningful drawbacks that could limit their long-term viability. Compared to turbines engineered specifically for stationary power generation, converted aircraft engines are less fuel-efficient and produce higher levels of emissions. They also require a greater number of units to generate an equivalent amount of electricity, adding to both cost and complexity.

These trade-offs suggest that converted jet engines are likely to serve as a transitional solution rather than a permanent fixture. Some industry analysts have pointed out that as regulatory scrutiny of carbon emissions intensifies and efficiency expectations rise, the calculus around these installations could shift considerably within the next one to two years. For now, however, the urgency of getting AI infrastructure online is driving operators to prioritize speed above almost everything else.