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Elon Musk says he\u2019s found a way to solve one of AI\u2019s biggest bottlenecks by making a hard-to-manufacture turbine part himself. <\/p>\n
On Saturday, Musk confirmed what a secret foundry SpaceX has been building in Bastrop, Texas, is for \u2014 an apparent response to a story that was already closing in on the details. Earlier in the day, The Information published a report<\/a> citing job listings that explicitly mention a \u201cblades and vanes foundry,\u201d plus findings from Corey Trinetti, a due diligence specialist who authors detailed reviews of AI infrastructure sites<\/a> in his newsletter and who\u2019d reported that SpaceX had bought roughly 830 acres near its existing Starlink factory in Bastrop between March and June. <\/p>\n \u201cSpaceX and Tesla are each building 100GW\/year of solar production capacity as fast as possible,\u201d Musk wrote on X<\/a> on Saturday, \u201cbut natural gas will still be needed to supplement and bootstrap solar for several years. The limiting factor for nat gas turbine production is casting the blades & vanes. By doing in-house casting at SpaceX, we can accelerate nat gas turbines coming online by up to 18 months, which is a profound game-changer.\u201d<\/p>\n The \u201cwhy\u201d of all this goes back to one of the biggest challenges facing the AI industry right now. GPU shortages are still an issue \u2014 Nvidia\u2019s newest Blackwell chips are still running lead times of several months, for example \u2014 but a second constraint has emerged alongside it, which is the physical power grid. The International Energy Agency projects global data center electricity use will roughly double by 2030, and gas turbine maker GE Vernova says it\u2019s essentially sold out<\/a> of production capacity through 2030 due largely to AI infrastructure demand.<\/p>\n That shortage is why building private gas-fired plants next to data centers, instead of waiting on the grid, has become a ubiquitous strategy for so-called hyperscalers, including Amazon<\/a>, Google<\/a>, Meta<\/a>, OpenAI<\/a>, and Microsoft<\/a>. After years of prioritizing wind and solar, they\u2019re all now betting on natural gas to get data centers online faster.<\/p>\n As for the casting bottleneck specifically, according to The Information, the blades inside a gas turbine\u2019s hottest section run at temperatures around 3,000 to 3,600 degrees Fahrenheit, which is roughly 800 degrees hotter than the melting point of the very metal alloy they\u2019re made from. That\u2019s only possible because of the blades\u2019 internal cooling channels and thermal-barrier coatings, plus the specific way each blade is cast<\/a>. Just four companies worldwide have mastered the casting process well enough to produce them at industrial scale, and all of them are tapped out right now.<\/p>\n What makes the whole thing especially difficult is that each blade has to be cast as a single, unbroken crystal, grown slowly inside a vacuum furnace, without the microscopic seams that let ordinary cast metal crack under stress. It\u2019s a tricky process even for the smaller blades used in jet engines; the blades in power-plant turbines are considerably larger, which makes producing them at that scale and without defects even harder.<\/p>\n If SpaceX pulls this off \u2014 and it\u2019s easier said than done, of course \u2014 it would mean a Musk-controlled entity holds a manufacturing capability that every other AI infrastructure builder currently depends on a tiny oligopoly for, giving SpaceXAI an edge that\u2019s difficult for any well-funded but non-manufacturing competitor to copy quickly.<\/p>\n But it would also mean more gas turbines coming on fast, and turbines in the ground are already drawing federal lawsuits and peer-reviewed health research over the pollution they emit.<\/p>\n In Memphis, where SpaceXAI has run gas turbines to power its Colossus data centers since 2024, the NAACP has repeatedly accused the company of operating turbines without the permits or pollution controls required by federal law. The organization\u2019s concern is that turbines like these emit smog-forming compounds and hazardous chemicals<\/a> like formaldehyde, pollutants linked to asthma, respiratory disease, and certain cancers. (The site sits near neighborhoods that already face heavy industrial pollution, and University of Memphis researchers said that in their own admittedly limited analysis, air pollution grew \u201cslightly worse\u201d because of the data center.)<\/p>\n But Memphis just happens to be the most visible case. The same fight is playing out anywhere gas turbines have become the default fix for data center power shortages. In Virginia\u2019s \u201cData Center Alley,\u201d a study commissioned by the Piedmont Environmental Council<\/a>, using the EPA\u2019s own COBRA health-impact model, found that emissions from a single facility\u2019s eight full-time gas turbines could reach more than 2.5 million people<\/a> across multiple counties \u2014 with the heaviest impact landing on already-marginalized communities \u2014 and cause an estimated 3.4 to 6.5 additional premature deaths<\/a> a year, translating to $53 million to $99 million in annual health-related damages. <\/p>\n The list, and complaints, go on.<\/p>\n<\/div>\n When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/em><\/p>\n