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SpaceX making good progress towards Super Heavy static fire campaign
SpaceX appears to be making great progress towards the start of its first full Super Heavy static fire campaign, building upon extensive Starship testing and a single booster static fire completed in July 2021.
On May 14th, upgraded Super Heavy booster B7 was moved back to SpaceX’s South Texas Starbase Starship factory after completing a successful round of tests and smoothing out an otherwise rocky start to its life. It was not the booster’s first time on that journey: after first leaving the Starbase ‘nest’ on March 31st, Booster 7 suffered significant internal damage during a structural stress test on April 14th and was forced to return to the factory for repairs. Impressively, despite the cramped environment and extremely limited access to the interior of the Super Heavy’s primary and secondary propellant tanks, SpaceX engineers and technicians somehow completed those repairs and Booster 7 sailed through a new round of ‘cryoproof’ testing on May 9th and 11th.
In the ~20 days since its second return, SpaceX teams have been hard at work preparing Super Heavy B7 for its next major challenges – the results of which could determine whether the massive rocket helps launch a Starship into space later this year.
That goal, same as it has been for half a year, is to qualify the first Super Heavy booster for flight. To do so, SpaceX must – at long last – static fire a Super Heavy with all necessary Raptor engines installed. For Booster 7 and its near-term successors, that means 33 new “Raptor 2” engines capable of generating a total of ~7600 metric tons (~16.7M lbf) of thrust.
That’s exactly what SpaceX workers have been focused on doing since Booster 7’s second return to a Starbase assembly bay. Bit by bit, they have spent every day since installing Raptor 2 engines one at a time. Unfortunately, due to the Super Heavy’s relocation inside a brand new assembly building known as the Megabay, High Bay 2, or Wide Bay, the half-dozen or so unaffiliated photographers who have come to regularly photograph Starbase have yet to find an angle that shows the state of that engine installation progress.
Two weeks later, it’s clear that SpaceX is taking its time, which likely also implies that the company is simultaneously encasing Booster 7’s Raptors and engine section in shrouds that will protect them during static fire testing; as well as during launch, reentry, and landing if B7 makes it that far. That’s not guaranteed, however, and it could also simply be that installing 33 engines on the first attempt at installing any Raptor 2s on any rocket has proven much harder than expected.
On June 1st, CEO Elon Musk appeared to confirm that engines are still being installed on Super Heavy B7, but he also verified that “all Raptor 2 engines needed for [the] first orbital flight are complete.” That could include Starship S24, which needs three sea-level Raptor 2s and three vacuum-optimized Raptor 2s, but it’s still great news even if he only means it for Booster 7. SpaceX has been spotted delivering at least a handful of new Raptor 2 engines a week for the last month or two, which means that all 33 engines may already be onsite at Starbase. If some are still undergoing proof testing at SpaceX’s McGregor, Texas facilities, it could be a few more weeks before all necessary engines are onsite, but that milestone is likely close at hand if it hasn’t already been reached.
For Super Heavy Booster 4, which was inexplicably never static-fired, installation of all 29 of its Raptor 1 engines took just a few days, but the installation of a heat shield around those engines took at least a few weeks. On June 1st, SpaceX also began installing grid fins on Super Heavy B7, further indicating the company’s growing confidence in the booster.
Outside of booster outfitting, SpaceX has also been aggressively refilling the Starbase orbital launch site’s (OLS) massive tank farm, which is capable of storing, subcooling, and distributing thousands of tons of liquid oxygen (LOx), liquid methane (LCH4), liquid nitrogen (LN2), and a variety of gases. For a full wet dress rehearsal (WDR), which has also never been done with Super Heavy, SpaceX would need to fill the booster with around 3400 tons (7.5M lb) of propellant. Out of an abundance of caution, Super Heavy B7 will likely have far less propellant aboard during almost all of its static fire tests, but a full static fire with a full load of propellant – simulating most prelaunch conditions – will likely be one of the last main goals of any static fire campaign. At full thrust, 33 Raptor 2 engines will likely burn around 25 tons (~55,000 lb) of propellant per second, so a huge amount of propellant will be needed regardless.
In the same series of June 1st tweets, Musk also confirmed that SpaceX intends to proceed cautiously into its first true Super Heavy static fire campaign, testing engines “just one at a time at first.” Musk probably isn’t being literal, as a campaign in which Booster 7 tested every one of its 33 Raptors individually could easily take weeks, so it’s likely safe to interpret his words to mean that SpaceX is not going to leap straight from the first limited test of one or a few engines to all 13 center engines, all 20 outer ‘boost’ engines, or all 33 engines at once.
Almost three weeks into the process of engine and heat shield installation, Booster 7 could potentially be ready to return to the orbital launch site any day now, though there’s probably an equal chance that it’s still a few weeks away. Nonetheless, SpaceX is on the cusp of kicking off one of the most exciting and important test campaigns in the history of Starship.
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.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
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.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
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.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
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.
