en.Wedoany.com Reported - The industry logic of "the end of computing power is electricity" continues to unfold, ushering the gas turbine industry into a high-growth cycle. Jereh Group signed a 23.59 billion yuan order for gas turbine generator sets, while delivery timelines for gas turbine products from international giants like Siemens Energy are already scheduled out to 2030. The industry is grappling with the increasingly prominent contradiction between robust order intake and tight delivery capacity. A recent investigation by reporters found that the large-scale construction of Artificial Intelligence Data Centers (AIDCs) is driving up electricity demand. Gas turbines are poised to become the preferred primary power solution for AIDCs, leveraging their advantages such as quick installation, flexible and adjustable unit capacity, and strong deployment adaptability. As the AI power shortage narrative continues to evolve, gas turbines are transitioning from the traditional energy equipment track to becoming a core beneficiary sector in AI infrastructure construction.
From the demand perspective, the electricity consumption of AI data centers is showing exponential growth. The extreme pursuit of computing power for large model training and inference results in AIDC power loads far exceeding those of traditional data centers. In this context, the stability and scalability of power supply have become key bottlenecks constraining the expansion of AI computing power. Gas turbines, with their unique comparative advantages, are standing out in this round of the AI power shortage narrative. Compared to coal-fired power plants, gas turbines offer shorter construction cycles, faster start-up times, and lower carbon emission intensity. Compared to renewable energy generation, gas turbines are unaffected by weather conditions and can provide stable base-load power 24/7. Compared to grid capacity expansion, gas turbines can be deployed as on-site power sources within AIDC campuses, avoiding the long timelines and high costs associated with grid upgrades.
From the supply perspective, the gas turbine industry is simultaneously experiencing robust order intake and intensifying delivery constraints. Jereh Group's recent signing of a 23.59 billion yuan gas turbine generator set order serves as a typical case of domestic companies securing large gas turbine orders. In the international market, delivery timelines for gas turbine products from leading manufacturers like Siemens Energy, Hyundai Heavy Industries, and General Electric are generally scheduled out to 2030, with lead times for new orders continuously lengthening. This supply-demand dynamic reflects that the AI power shortage narrative is substantively reshaping market expectations for the gas turbine industry. To secure production capacity, downstream AIDC developers are accelerating the signing of long-term procurement agreements with gas turbine suppliers.
From a technical compatibility standpoint, the modular nature of gas turbines allows them to flexibly align with the phased construction pace of AIDCs. A hyperscale AIDC is typically built in multiple phases, with power demand released gradually. Gas turbines can be commissioned in batches according to the computing power deployment schedule, avoiding redundant power investment in early stages. Furthermore, gas turbine unit capacities range from several megawatts to hundreds of megawatts, enabling adaptation to various scenarios from edge nodes to hyperscale data centers. Industry analysis suggests that as the AI power shortage narrative deepens, the penetration rate of gas turbines in AIDC power solutions is expected to increase further. Related equipment manufacturers, engineering service providers, and operation & maintenance companies will enter a sustained period of demand release.
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