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SpaceX Starship booster heads to launch pad for the fifth time
For the fifth time in five months, SpaceX has transported its most advanced Starship booster prototype from the Starbase factory to the launch pad, setting the stage for another round of testing.
Super Heavy Booster 7 (B7) returned to the factory for the fourth time on August 12th after becoming the first prototype of any kind to perform a static fire engine test while installed on SpaceX’s orbital Starship launch mount. In the days prior, the booster completed two back-to-back static fire tests with one of the 20 Raptor engines installed on the rocket, both of which apparently gave SpaceX enough confidence to prepare for the next phase of testing.
That relatively cautious progress only came after SpaceX attempted to test all 33 of the prototype’s Raptors at once during its first engine test. Whether it was the fault of overzealous managers or executives or a genuine oversight is not clear, but the combined behavior of Super Heavy and the orbital launch pad was not properly characterized before testing began. As a result, the cloud of flammable gas the rocket released during its attempted 33-engine ‘spin-prime’ test found an ignition source and violently exploded on July 11th, causing damage throughout Booster 7’s aft engine section that required several weeks of repairs between July 15th and August 6th.
When the Super Heavy rolled to the pad for the fourth time on August 6th, it was missing all 13 center Raptors, leaving only the outer ring of 20 Raptor Boost engines partially installed for the tests that followed. Thankfully, things went much better on the second try and Booster 7 completed two spin-prime tests with a single Raptor engine, followed by two successful static fire tests on August 9th and 11th. The latter test was the longest Starbase static fire ever (by a factor of ~3) and lasted about 20 seconds, allowing SpaceX to test Booster 7’s autogenous pressurization. That system pressurizes Super Heavy’s tanks by turning small quantities of cryogenic liquid propellant into gas, ensuring that its tanks remain stable as they’re rapidly drained of thousands of tons of propellant.
On August 12th, Booster 7 returned to the factory, where workers installed the rocket’s 13 center engines for the second time. Booster 7 headed back to the orbital launch site (OLS) on August 23rd and the pad’s robotic launch tower used a pair of arms to lift the rocket off its transport stand and place it on the launch mount by the end of the day.
In addition to readying Booster 7 for its next phase of static fire testing, teams of SpaceX workers took advantage of the unplanned lull in testing to modify the orbital launch mount. It’s impossible to know what exactly was done without official confirmation, but it’s likely that SpaceX was attempting to quickly fix the shortcoming(s) that allowed the July 11th explosion to happen. Without a fix, it’s unlikely that SpaceX would want to proceed with plans to ignite large numbers of Raptor engines simultaneously – a series of tests that must be completed before Starship can safely attempt its first orbital launch.
It’s unclear what exactly that fix entails, but it could involve a system to constantly flood the engine section with fire-stopping nitrogen gas or potentially take the shape of a system of vents that will connect to every Raptor engine and remove methane gas before it can turn into flammable clouds.
It’s possible that Booster 7 has returned to the launch pad solely for fit checks or some other basic proof-of-concept testing. It’s also possible that the returns signifies that SpaceX is confident in its quick launch mount fix and ready to restart static fire testing.
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As Booster 7 prepares for that next phase of testing, SpaceX may also be ready to restart static fire testing with Starship S24, which paused shortly before Super Heavy returned to the factory. SpaceX appears to be modifying the suborbital launch mount and test stand Ship 24 is installed on, which could explain the lack of ship testing since August 11th. SpaceX has 12-hour test windows tentatively scheduled on August 24th and 25th, either of which could be used to test either or both prototypes.
If all goes to plan, Ship 24 and Booster 7 will eventually complete all the qualification testing SpaceX can throw at them and be ready to support Starship’s first orbital launch attempt sometime before the end of 2022.
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
