Observed Signal · Nov 10, 2026 · Analysis · Source: Trending Topics (DACH/CEE Innovation & Tech) · Impact: 3/5 · Sentiment: Positive
AI Gas Rush: Old Jet Engines Power Data Centers
The AI boom is causing a surge in demand for natural gas turbines, with delivery times for new turbines averaging six years in the US. Data center operators are increasingly turning to converted jet engines, so-called aeroderivatives, as a stopgap. Anthropic is paying $3.4 billion for gas generators from Caterpillar, and SpaceX has purchased nearly $3 billion worth of turbines. Companies like ProEnergy and FTAI Power are converting retired aircraft engines into power units. Crusoe ordered 13 converted engines from ProEnergy for its Stargate campus, and an unnamed cloud company placed a $1.465 billion order with FTAI. The trend raises concerns about efficiency, emissions, and environmental impact, with legal and political pushback emerging.
Soaring AI power demand is reshaping energy infrastructure and creating new markets for used turbines and converted jet engines, with major AI labs making billion-dollar power purchases.
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Key Takeaways & Evidence Grounding
- The AI boom has led to a shortage of gas turbines, with US delivery times averaging six years.
- Anthropic is paying $3.4 billion for gas generators from Caterpillar, with 1.7 gigawatts of capacity.
- SpaceX has purchased nearly $3 billion worth of gas turbines, including a 41-turbine plant in Mississippi.
- Crusoe ordered 13 converted jet engines from ProEnergy for its Stargate campus, totaling 650 megawatts.
- An unnamed cloud company placed a $1.465 billion order with FTAI for more than 100 converted CFM56 engines.
Connected Companies & Entities
“Anthropic is paying $3.4 billion for gas generators from Caterpillar.”
“SpaceX has bought nearly $3 billion worth of turbines.”
“Crusoe, the data center builder constructing the Stargate campus in Texas for OpenAI, ordered 13 converted jet engines from ProEnergy.”
“Nvidia's chief executive, Jensen Huang, told The New York Times that the AI industry would use more fossil fuel for now.”
“Google, Amazon, Microsoft and Meta have announced gas plants of their own.”
“Google, Amazon, Microsoft and Meta have announced gas plants of their own.”
“Google, Amazon, Microsoft and Meta have announced gas plants of their own.”
“Microsoft pulled out as anchor customer of a data center in Loughton due to grid delays.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Power Rush: Data Centers Buy Used Jet Engines
The AI boom is driving data center operators to purchase used gas turbines and converted jet engines due to six-year lead times for new turbines. A Reuters analysis reveals that Siemens Energy, GE Vernova, and Mitsubishi Heavy Industries face capacity constraints. Anthropic has agreed to pay $3.4 billion for gas generators from Caterpillar, while SpaceX's xAI has invested nearly $3 billion in turbines. Companies like ProEnergy and FTAI Power convert aircraft engines into power-generating turbines, with orders from Crusoe and an unnamed cloud provider. The article highlights a market where demand exceeds supply, with delivery times stretching into the early 2030s, and notes environmental and regulatory challenges.
AI Data Centers Turn to Old Jet Engines for Fast Power
AI data center builders, facing years-long waits for grid connections and new gas turbines, are increasingly turning to converted jet engines to generate electricity quickly. These engines, pulled from retired aircraft and rebuilt to burn natural gas, can power a data center within 24 months, compared to seven years for a traditional grid hookup in regions like Northern Virginia. Companies like xAI and OpenAI have already deployed such units, with ProEnergy supplying converted GE engines. Crusoe, which builds AI data centers, ordered 13 units in April but abandoned a $1.25B deal for Boom Supersonic turbines in September. While offering speed, these engines are less efficient and more polluting, making them a short-term solution to the power bottleneck.
Behind-the-Meter Power Challenges for Datacenters
SemiAnalysis reports that behind-the-meter (BTM) power generation for AI datacenters has become mainstream, with 75GW of firm orders tracked, 20GW ordered in Q2 2026 alone. Major deals include Microsoft's 5GW with Chevron and Crusoe, Google's 930MW aeroderivative turbines and 900MW Bloom fuel cells, and OpenAI's 1.4GW campus with Jenbacher engines. The report details six key challenges: contracts & bankability, permitting, fuel supply, equipment procurement, workforce, and electrical physics. It highlights permitting delays (e.g., Oracle's Project Jupiter) and the rise of Energy-as-a-Service vendors like VoltaGrid. The analysis emphasizes the shift towards reciprocating engines and fuel cells, and the growing importance of balance-of-plant equipment.
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