Surging AI Data Center Energy Demand Drives Natural Gas Turbine Prices Up Nearly 200%

As technology giants rush to expand artificial intelligence infrastructure, an unexpected bottleneck in power generation is sending natural gas turbine prices soaring. According to energy research firm Wood Mackenzie, the per-kilowatt cost of gas-powered turbines is on track to jump 195% by the end of next year compared to 2019 levels, as first reported by Yahoo Finance. The massive units—which range in size from delivery trucks to locomotive train cars and produce enough electricity to power small cities—have become essential assets for data center operators struggling to secure institutional-scale connections to traditional electrical grids.

Data center developers are increasingly pursuing self-sufficiency due to grid constraints, opting for onsite natural gas generation despite steep initial capital expenditures. Analysis from BloombergNEF indicates that nearly 100 data centers currently operate or are constructing onsite natural gas turbine infrastructure. Furthermore, consulting firm PwC projects that the AI sector’s consumption of natural gas will expand by more than five times through 2035, with on-site turbines accounting for the majority of that growth. This structural shift is delivering a significant financial windfall to a small group of heavy equipment manufacturers.

Leading the market in North America is GE Vernova (NYSE: GEV), whose power segment has quickly evolved into its primary earnings driver despite the firm's broader portfolio of wind and hydropower assets. In its most recent quarter, GE Vernova reported 12% organic revenue growth, anchored by a 14% increase in its power division. Driven by surging data center demand, power unit orders jumped 134% year-over-year in the second quarter. That influx expanded the company’s total backlog by $13 billion to reach $176 billion, representing more than four years of sales at its current annualized rate.

In Europe, Siemens Energy (OTC: SMERY) is experiencing a similar wave of AI-driven demand. The German industrial manufacturer posted an 18.5% year-over-year revenue increase in its latest quarterly results, driven significantly by equipment sales to data center builders. While Siemens Energy delivered 6 gigawatts worth of natural gas turbines during the three-month stretch, it recorded 15 gigawatts in new orders over the same timeframe. The imbalance pushed the manufacturer's total gas-power equipment backlog to 69 gigawatts as it works to expand production capacity.

Japanese manufacturer Mitsubishi Heavy Industries (OTC: MHVYF) is likewise capturing market share while expanding factory capacity to address unfulfilled orders. The company generated a 13.3% top-line revenue gain in its most recently completed quarter, with management projecting comparable growth through the remainder of the fiscal year. Like its international peers, Mitsubishi Heavy Industries is actively scaling up assembly lines to meet ongoing equipment shortfalls.

Heavy machinery builder Caterpillar (NYSE: CAT) is also benefiting from the data center power scramble beyond its traditional construction business. For instance, Microsoft's planned Monarch Compute Campus in West Virginia will initially utilize Caterpillar’s G3500-series natural gas generators as an interim electricity source. The facility will eventually transition to permanent power generated by 2 gigawatts of natural gas turbines manufactured by Solar Turbines, a wholly owned Caterpillar subsidiary. Fueled largely by expanding data center requirements, Caterpillar saw its total sales grow 24% year-over-year during the prior fiscal year.

Rounding out the market participants is Woodward (NASDAQ: WWD), an industrial component manufacturer that supplies equipment to the onsite power generation sector. While Woodward does not break out specific gas turbine revenue segments in its financial filings, it remains positioned to profit from sustained hardware price inflation. Together, these manufacturers underscore how the software-driven AI boom has expanded into a high-stakes competition for physical energy infrastructure, reshaping revenue trajectories across the heavy industrial sector.