Global Gas Turbine Orders Hit Record 38 GW in Q2 2026 — AI Data Centers Drive the Surge

GE Vernova's gas turbine order backlog hit a record 116 GW by end of Q2 2026, up from 100 GW in Q1 2026 . About 20% of its gas turbine demand now comes directly from data center customers, with the rest from traditional utilities . Siemens Energy reported €8.9 billion in Gas Services orders (77 turbines, ~12 GW) in its Q2 FY2026 and raised its outlook for annual global gas turbine additions to 110–120 GW for the coming years .

Driving Factors

Data center / AI demand. The primary driver is surging electricity consumption from AI data centers. JPMorgan, Siemens Energy, and GE Vernova all cite AI-driven power needs as the core catalyst . The IEA estimates global data center electricity consumption will roughly double from ~485 TWh in 2025 to nearly 950 TWh by 2030, with AI-focused data center power consumption alone surging 50% in 2025 .

Supply chain constraints & cost increases. Demand has overwhelmed manufacturing capacity:

• Gas turbine prices have risen roughly 300% over three years . Bloomberg reported in April 2026 that turbine prices would reach about $600 per kilowatt by end of 2027, up 195% from 2019 .
• Global gas turbine orders reached about 110 GW by the end of 2025, but total manufacturing capacity is only 60 GW to 70 GW annually, creating a severe supply imbalance .
• Severe supply shortages have extended lead times, forcing developers to form partnerships and adapt project finance strategies to lock in turbine supply .
• Traditional utilities are being squeezed out as hyperscalers (Microsoft, Meta, Google, OpenAI) queue for units .

Broader electrification. Beyond data centers, ongoing electrification of transport, buildings, and industry is adding structural upward pressure on electricity demand .

Broader Context

Record electricity demand growth. U.S. power consumption hit its second straight annual record in 2025, and the EIA projects further records in 2026 and 2027 driven by AI data centers and electrification . The EIA calls this the strongest four-year demand growth period since 2000 . U.S. electricity load is forecast to grow 1.9% in 2026 and 2.5% in 2027, with ERCOT (Texas) seeing average annual load growth of 10% .

Natural gas as the bridge fuel. The EIA projects that fossil fuel generation will increase over the next two years as data center demand outpaces the buildout of renewables and grid interconnection capacity . Natural gas is the primary near-term solution because gas turbines can be sited faster and more flexibly than large-scale solar/wind with battery storage. Enverus Intelligence Research estimates hyperscalers could spend roughly $5 trillion through 2030 to build 62 GW of off-grid, natural-gas-fired power for data centers .

The 'super cycle' thesis. Analysts at JPMorgan and elsewhere describe gas turbines as entering a "super cycle," with manufacturer production schedules already extended into 2030 . Siemens Energy sees a "base market" of 70–80 GW per year (coal-to-gas switching and replacement) plus an additional 30–40 GW from data center and electrification demand on top, sustaining the 110–120 GW run rate .

Cloud infrastructure implications. Hyperscalers are increasingly pursuing behind-the-meter gas generation — building dedicated natural gas power plants directly at or near data center sites to bypass grid interconnection delays . This shifts cloud infrastructure economics: power availability and turbine supply contracts are becoming as strategically important as chip supply. The knock-on effect is that gas turbine supply constraints are now a bottleneck for data center buildout timelines, driving prices higher and forcing smaller players out of the queue .