--- title: "GE Vernova's Gas Turbines Are Sold Out, and AI Data Centers Are Why" description: "GE Vernova's order book for gas turbines has swelled to about 100 gigawatts — and the company's chief executive expects its turbine slots to be sold out through 2030. The driver is the scramble for electricity to run AI data centers." category: "Companies" category_url: https://boursel.com/category/companies author: "Daniel Okonkwo" published: 2026-06-27T12:43:40.000Z updated: 2026-06-27T12:43:40.000Z canonical: https://boursel.com/article/ge-vernovas-gas-turbines-are-sold-out-and-ai-data-centers-are-why tags: ["ge-vernova", "gas-turbines", "ai", "data-centers", "energy", "power"] --- # GE Vernova's Gas Turbines Are Sold Out, and AI Data Centers Are Why GE Vernova's order book for gas turbines has swelled to about 100 gigawatts — and the company's chief executive expects its turbine slots to be sold out through 2030. The driver is the scramble for electricity to run AI data centers. GE Vernova, the power-equipment company spun out of General Electric in 2024, has become one of the clearest beneficiaries of the artificial-intelligence boom — not by building AI, but by supplying the electricity to run it. Its order book for gas turbines has reached roughly 100 gigawatts, and chief executive Scott Strazik has said he expects turbine reservations to be [sold out through 2030](https://www.utilitydive.com/news/ge-vernova-gas-turbine-investor/807662/). ## What GE Vernova makes The company builds three kinds of energy hardware: gas turbines and power-plant equipment, electrical-grid gear such as transformers, and wind turbines. A **gas turbine** is, in essence, a giant jet engine adapted for a power plant — burning natural gas to spin a generator and produce electricity, and able to run on demand rather than only when the wind blows or the sun shines. That "on-demand" quality is exactly what has made it the technology of the moment. ## The AI power problem AI is enormously power-hungry. The banks of specialized chips that train and run large models draw electricity continuously, and a single large AI data center can need hundreds of megawatts — comparable to a small city. According to the [International Energy Agency](https://www.iea.org/news/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions), data-center electricity use jumped 17% in 2025 and is on track to grow about 26% in 2026 to roughly 132 gigawatts worldwide — and could nearly triple to around 290 gigawatts by 2030. The research firm Gartner has likewise projected a 26% rise in data-center electricity demand in 2026. The bottleneck is time. Connecting a big new facility to the public grid can take years, held up by permits, substations and transmission limits. So rather than wait, the large cloud operators are ordering their own on-site generation — and gas turbines, which can be installed near a data campus and switched on as needed, have become the favored bridge. ## A backlog stretched to the end of the decade GE Vernova's combined turbine backlog and slot-reservation agreements reached about 100 gigawatts, [Power Engineering reported](https://www.power-eng.com/gas/turbines/data-centers-drive-record-surge-in-ge-vernova-power-equipment-orders-as-turbine-slots-tighten-through-2030/), up sharply from roughly 80 gigawatts at the end of 2025. Not all of that is locked in: a large share consists of slot reservations rather than firm contracts, which can still be deferred or cancelled. Data-center customers account for roughly a fifth of the total, with traditional utilities and industry making up the rest. The supply crunch has pushed prices up steeply. GE Vernova gas-turbine prices have risen roughly 300% over three years, with a single large unit now costing more than $250 million, [according to reporting compiled by Yahoo Finance](https://finance.yahoo.com/energy/articles/ai-data-centers-driving-power-180658794.html). The company is expanding factory capacity — adding production lines and workers in the United States and France — but turbines take years to build, and Strazik has noted that grid connection and permitting often constrain projects even more than turbine supply. The demand is showing up in the financials. GE Vernova has reported sharply higher revenue and order intake on the back of the power boom and has raised its full-year outlook, lifting the shares well above their levels a year ago — though, as ever, future performance depends on execution and on demand that could yet soften. ## The "picks and shovels" bet GE Vernova has become a textbook example of the "picks and shovels" approach to the AI boom: the idea that selling the infrastructure behind AI — power, grid gear, cooling — may be a steadier bet than guessing which AI software company ultimately wins. Unlike a model developer whose revenue rides on user adoption, GE Vernova's backlog is years of signed orders for physical equipment. The risks are real. A chunk of the backlog is reservations, not firm contracts; a sharp pullback in AI spending would ripple back to power orders; and the company's wind business remains weak. But for now, the math driving the story is hard to ignore: AI needs electricity, electricity needs turbines, and the turbines are spoken for. ## Sources - [How GE Vernova builds the massive gas turbines powering AI data centers](https://www.cnbc.com/2026/06/27/ge-vernova-gas-turbines-ai-data-centers.html) - [GE Vernova gas-turbine backlog and investor update](https://www.utilitydive.com/news/ge-vernova-gas-turbine-investor/807662/) - [Data centre electricity use surged in 2025](https://www.iea.org/news/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions) - [Data centers drive record surge in GE Vernova power equipment orders](https://www.power-eng.com/gas/turbines/data-centers-drive-record-surge-in-ge-vernova-power-equipment-orders-as-turbine-slots-tighten-through-2030/)