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Data center power demand is set to roughly double by 2030, and grids cannot connect that load fast enough. Gas turbines sited next to the data center have become one of the few ways to add firm power quickly, which is why equipment makers like Baker Hughes are booking record orders. Here is why the demand is real, why gas is winning a share of it, and where the bottleneck now sits.\",\"date\":\"30\/07\/2026\",\"readTime\":\"7 min read\",\"author\":\"Project 54 Research & Strategy\"},\"quickAnswer\":{\"q\":\"Why are data centers driving demand for gas turbines?\",\"a\":\"Data centers, driven by artificial intelligence, are adding electricity demand faster than grids can supply it. The International Energy Agency projects global data center electricity use will roughly double to around 945 terawatt hours by 2030, and connection queues for new grid capacity stretch for years. Gas turbines can be installed next to a data center to deliver firm, always on power on a shorter timeline than a grid connection, so hyperscale operators and developers are ordering them in volume. Baker Hughes alone booked 2.7 gigawatts of gas turbines for data centers and mobile power in a single quarter in 2026.\"},\"takeaways\":[\"The International Energy Agency projects data center electricity demand will roughly double to about 945 terawatt hours by 2030, with AI focused data centers growing fastest.\",\"Grid connection queues run for years, so on site or near site generation is often the fastest way to power a new data center.\",\"Natural gas is expected to supply a large share of the new load, expanding by around 175 terawatt hours to meet data center demand, notably in the United States.\",\"Gas turbines deliver firm, dispatchable power that matches the constant, high load profile of AI computing, unlike weather dependent renewables on their own.\",\"The bottleneck has shifted to the turbines themselves: lead times now stretch several years, which is why equipment makers are booking record order books and expanding capacity.\"],\"sections\":[{\"id\":\"demand\",\"q\":\"How much new electricity do data centers actually need?\",\"h\":\"A demand curve that doubles\",\"p\":[\"The scale of the demand is what makes this a strategic issue rather than a niche one. The International Energy Agency, in its 2025 Energy and AI analysis, projects that global electricity consumption from data centers will roughly double to around 945 terawatt hours by 2030, just under 3 percent of world electricity, and rise toward 1,200 terawatt hours by 2035 (IEA, Energy and AI<\/a>). Electricity use from AI focused data centers grows fastest of all, roughly tripling over the period.\",\"That load is not just large, it is concentrated and constant. AI training and inference run around the clock at high utilisation, which is a very different profile from ordinary commercial demand. Meeting it requires firm power that is available every hour, not just when the wind blows or the sun shines.\"]},{\"id\":\"grid\",\"q\":\"Why not just connect to the grid?\",\"h\":\"The queue is the problem\",\"p\":[\"The obvious answer, connect the data center to the grid, runs into a hard constraint: time. In many markets the queue to secure a large new grid connection stretches for several years, and new transmission takes even longer to build. For a hyperscale operator racing to deploy AI capacity, a multi year wait for power is a multi year wait for revenue.\",\"That timing gap is what pushes developers toward on site or near site generation. Building your own power next to the building, behind the meter, can be faster than waiting in the interconnection queue. Speed to power, not just cost of power, is now the deciding factor for where and how fast a data center can be built.\"]},{\"id\":\"gas\",\"q\":\"Why gas turbines specifically?\",\"h\":\"Firm power on a shorter timeline\",\"p\":[\"Gas turbines fit the data center problem on three dimensions. They are dispatchable, meaning they run on demand and provide the firm, constant power AI computing needs. They can be sited next to the load, avoiding the transmission bottleneck. And at scale they can be deployed faster than most alternatives that deliver the same firm capacity. The IEA expects natural gas to expand by around 175 terawatt hours to help meet data center demand, notably in the United States (IEA, Energy demand from AI<\/a>).\",\"This is not a story of gas versus renewables. Renewables are expected to supply the largest single share of new data center demand, helped by short build times and low cost. But renewables need firming, and gas turbines are one of the technologies filling that role today. The result is a surge in turbine orders. Baker Hughes booked 2.7 gigawatts of gas turbines for data centers and mobile power in a single quarter of 2026, part of a record 7.1 billion dollars of Industrial and Energy Technology orders (Rigzone<\/a>).\"]},{\"id\":\"bottleneck\",\"q\":\"Where is the bottleneck now?\",\"h\":\"The turbines themselves\",\"p\":[\"As demand has shifted to turbines, the constraint has moved with it. The IEA notes that lead times for new gas turbines now stretch several years, a supply crunch that could delay commissioning of some gas fired capacity beyond 2030. In other words, ordering a turbine today does not guarantee power tomorrow.\",\"For equipment makers, that scarcity is the opportunity. It is why Baker Hughes, GE Vernova, Siemens Energy and Mitsubishi Power are expanding manufacturing capacity and why their order books now reach years into the future. Baker Hughes is targeting roughly 5 billion dollars of annual power systems revenue by 2029 and doubling its gas turbine capacity from 2026 levels by the end of 2028. Whoever can build turbines fastest captures the demand.\"]},{\"id\":\"means\",\"q\":\"What does this mean for energy suppliers and sellers?\",\"h\":\"Sell speed to power\",\"p\":[\"For anyone selling into this market, the lesson is that the scarce resource is firm power delivered quickly, not energy in the abstract. Buyers will pay a premium for capacity that shortens their time to power, and they will lock in supply years ahead to secure it. That reshapes how equipment, gas supply and power services should be positioned and priced.\",\"It also explains why an oilfield services name like Baker Hughes now talks about the digital economy. To understand how a major energy company is repositioning around exactly this demand, read our analysis of Baker Hughes and the power pivot<\/a>, and how Chevron is building power for data centers with Project Kilby<\/a>.\"]}],\"media\":{\"image\":{\"src\":\"https:\/\/projectfifty4.com\/wp-content\/uploads\/2026\/07\/data-center-power-demand-operations.jpg\",\"label\":\"Engineers reviewing live data on an operations wall, the kind of always on computing load that is driving data center power demand.\",\"credit\":\"Project 54\"},\"infographicLabel\":\"FIG.54 \/ DATA CENTER POWER \/ GAS TURBINE DEMAND \/ REV 1.0\"},\"poll\":{\"q\":\"What will be the biggest constraint on data center growth to 2030?\",\"options\":[{\"id\":\"power\",\"label\":\"Access to firm power\",\"insight\":\"The IEA sees data center demand doubling by 2030 while grid queues stretch for years. Firm power, not chips, is emerging as the binding constraint.\"},{\"id\":\"turbines\",\"label\":\"Equipment lead times\",\"insight\":\"Gas turbine lead times now run several years. The bottleneck has moved from the grid to the factory floor that builds the turbines.\"},{\"id\":\"grid\",\"label\":\"Grid and transmission\",\"insight\":\"New transmission takes many years to permit and build, which is exactly why developers are turning to behind the meter generation.\"},{\"id\":\"cost\",\"label\":\"Cost of energy\",\"insight\":\"Cost matters, but for AI operators racing to deploy, speed to power is often worth more than the cheapest electron.\"}],\"note\":\"The common thread is time. Every constraint on the list is really a constraint on how fast firm power can be delivered.\"},\"faq\":[{\"q\":\"Why are data centers driving demand for gas turbines?\",\"a\":\"AI is pushing data center electricity demand up faster than grids can supply it, with the IEA projecting a roughly doubling to around 945 terawatt hours by 2030. Grid connection queues stretch for years, so operators use gas turbines sited next to the data center to add firm power on a shorter timeline. Baker Hughes booked 2.7 gigawatts of such turbines in a single quarter of 2026.\"},{\"q\":\"How much electricity will data centers use by 2030?\",\"a\":\"The International Energy Agency projects that global data center electricity consumption will roughly double to around 945 terawatt hours by 2030, just under 3 percent of world electricity, and rise toward 1,200 terawatt hours by 2035. AI focused data centers grow fastest, tripling over the period.\"},{\"q\":\"Why not use renewables to power data centers?\",\"a\":\"Renewables are expected to supply the largest single share of new data center demand because they are cheap and quick to build. But AI computing needs firm, around the clock power, and renewables on their own are weather dependent. Gas turbines provide the firming capacity that keeps the load supplied at all hours, so the two are used together rather than as alternatives.\"},{\"q\":\"How long does it take to get a gas turbine for a data center?\",\"a\":\"Lead times have lengthened significantly. The IEA notes that turbine deliveries for new gas fired plants now face lead times of several years, which could delay some commissioning beyond 2030. That scarcity is why equipment makers are expanding manufacturing capacity and booking multi year order backlogs.\"},{\"q\":\"Which companies make gas turbines for data centers?\",\"a\":\"The main suppliers include Baker Hughes, GE Vernova, Siemens Energy and Mitsubishi Power. Baker Hughes booked a record 7.1 billion dollars of Industrial and Energy Technology orders in the second quarter of 2026, including 2.7 gigawatts of gas turbines for data centers and mobile power, and is targeting roughly 5 billion dollars of annual power systems revenue by 2029.\"}],\"newsletter\":{\"eyebrow\":\"The P54 Energy Growth Brief\",\"title\":\"Revenue architecture, engineered, for energy B2B\",\"body\":\"Join energy leaders getting our weekly analysis of how the industry's biggest players build growth, and what it means for how you sell and market. No noise, just the strategy behind the moves.\",\"cta\":\"Subscribe\"},\"related\":[{\"title\":\"Baker Hughes and the Power Pivot\",\"topic\":\"Industry Leader\",\"href\":\"\/insights\/baker-hughes-data-center-power-strategy-2026\/\"},{\"title\":\"Chevron Starts Selling Power, Not Barrels: Inside Project Kilby\",\"topic\":\"Industry Leader\",\"href\":\"\/insights\/chevron-microsoft-project-kilby\/\"},{\"title\":\"SLB's Digital Reinvention\",\"topic\":\"Industry Leader\",\"href\":\"\/insights\/slb-schlumberger-digital-oilfield-services-strategy-2026\/\"},{\"title\":\"ADNOC and XRG: A Bet on Gas, Chemicals and AI Power\",\"topic\":\"Industry Leader\",\"href\":\"\/insights\/adnoc-xrg-gas-chemicals-ai-bet\/\"}],\"listenTime\":\"Listen: 12 min\"}","p54_faq":"","p54_media":"","p54_comments_enabled":"","footnotes":""},"categories":[92,125],"tags":[],"class_list":["post-3990","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis","category-strategy"],"acf":[],"_links":{"self":[{"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/posts\/3990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/comments?post=3990"}],"version-history":[{"count":1,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/posts\/3990\/revisions"}],"predecessor-version":[{"id":3991,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/posts\/3990\/revisions\/3991"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/media\/3989"}],"wp:attachment":[{"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/media?parent=3990"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/categories?post=3990"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/projectfifty4.com\/zh\/wp-json\/wp\/v2\/tags?post=3990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\u6392\u961f\u662f\u4e2a\u95ee\u9898\u3002<\/h2>\n
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