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SpaceX breaks Starship test record, rolls next booster to launch pad
SpaceX has completed a record-breaking test of a Starship booster and rolled a newer Super Heavy prototype to the launch pad just hours apart.
Almost six weeks after SpaceX began Super Heavy Booster 7’s static fire test campaign, the company has broken new ground by simultaneously igniting seven Raptor engines at once. A matter of hours later, confirming SpaceX CEO Elon Musk’s plans in real time, the company transported a second Super Heavy prototype (Booster 8) from the factory to the launch pad, where it joined Booster 7.
According to Musk, those rockets will soon switch places, ensuring that no time is wasted while SpaceX continues to gradually work towards Starship’s first orbital launch attempts.
Booster 7 kicked off the most important stage of its flight qualification process on August 9th and 11th with two back-to-back static fires, each igniting just one of 20 installed Raptor engines. Both appeared to be successful and SpaceX returned B7 to its Boca Chica, Texas factory, reinstalled a full set of 33 engines, and sent the Super Heavy back to the launch pad two weeks later.
On August 31st, SpaceX attempted to ignite three of Booster 7’s 33 Raptors. One engine failed to ignite but the others did not, resulting in a mostly successful two-engine test. Over the next two weeks, SpaceX performed several ignition-free ‘spin-prime’ tests, two of which appeared to spin up all 33 engines without causing an explosion. Finally, SpaceX telegraphed its next major goal with a seven-engine spin-prime test on September 16th and another (albeit with a slightly different set of engines) on September 19th.
Shortly after the second seven-engine spin-prime, SpaceX refilled Booster 7 with propellant, went back through the same procedures, and ignited the same seven engines for about five seconds. No obvious issues arose and Musk later implied that the test went well. It set a new record for the largest number of Raptors simultaneously ignited on a single prototype and likely also broke the record for most thrust produced by a vehicle tested at Starbase.
If all seven upgraded Raptor V2 engines were operating at full throttle, they could have briefly produced more than 1600 tons (~3.6M lbf) of thrust – roughly equivalent to two Falcon 9 boosters. Measuring about 69 meters (~225 ft) tall and 9 meters (~30 ft) wide, Super Heavy will be the most powerful liquid rocket booster ever tested once it ignites as few as 20 of its 33 engines at full thrust.
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In an increasingly rare update, Musk revealed that SpaceX will once again return Booster 7 to Starbase’s factory for mysterious “robustness upgrades” after the latest round of testing. Musk doesn’t seem to think that those upgrades will take very long, and anticipates that Starbase’s “next big test” will be the first complete wet dress rehearsal of a fully-assembled two-stage Starship, followed by Super Heavy’s first 33-engine static fire test, “in a few weeks.”
More likely than not, each step of that process will take multiple attempts and uncover issues that will then need to be corrected and verified over the course of several months. But with Starship 24 having already completed a full six-engine static fire, there’s a small chance SpaceX will find itself with a fully-stacked Starship that is more or less ready for its first orbital launch attempt by the end of October.
In the meantime, after Booster 7 returns to the factory, Booster 8 – finally complete after a relatively slow six-month assembly – will kick off basic proof testing at SpaceX’s South Texas orbital launch site. SpaceX wasted no time preparing for that swap and transported Booster 8 to the pad just seven hours after Booster 7’s seven-engine static fire. If things move more smoothly than they did with B7, it’s possible that B8 will complete proof testing and be ready to head back to the factory for Raptor installation by the time B7’s upgrades are finished – a very efficient transition if it works out that way.
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
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Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
