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SpaceX sends Starship’s first vacuum Raptor engine to Boca Chica

The average person could easily stand up straight inside Raptor Vacuum's nozzle with plenty of room to spare. (SpaceX)

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For the first time, SpaceX has shipped a vacuum-optimized Raptor engine to its Boca Chica, Texas Starship factory days after the company’s present reiterated plans for an inaugural orbital launch attempt as early as July.

Back in March 2021, CEO Elon Musk confirmed that he’d set SpaceX a goal of attempting Starship’s first orbital launch no later than the end of July – around four and a half months distant at the time. Fifteen weeks later, though the prospects of an orbital launch attempt happening in July have practically shrunk to zero, SpaceX COO and President Gwynne Shotwell – best known for acting as a more grounded foil to Musk’s often impractical schedule estimates – reiterated that the company is still “shooting for July” for Starship’s first orbital launch attempt.

As of late June, hitting that target would require SpaceX to string together numerous extraordinary feats of engineering and rocketry in record time or attempt some extremely unorthodox corner-cutting.

The launch pad and launch vehicle hardware needed for Starship’s first space shot are currently far from ready for flight. On June 24th, Musk unexpectedly revealed that the Super Heavy booster prototype SpaceX is now in the late stages of assembly isn’t actually the booster that will carry Starship on its first space launch attempt. In other words, though dozens of rings in various states of work are strewn about SpaceX’s Boca Chica factory, the company has yet to begin assembling the massive 65m (~215 ft) tall booster required for the first orbital launch attempt.

Using Super Heavy Booster 3 (B3) as a ruler, assembly could easily take 9-10 weeks – starting whenever the process actually begins. If SpaceX started stacking Booster 4 today, in other words, it’s unlikely that the rocket would even be complete by the end of August. Barring SpaceX taking unprecedented shortcuts, completing the booster is just part of the process of preparing for flight and B4 would still need to be qualified for flight, likely involving at least one cryogenic proof and static fire test.

In a best-case scenario where SpaceX begins assembly today, manages to halve Booster 4 assembly time in one fell swoop, the sneaks the second Super Heavy ever completed through qualification testing in a single week, the orbital flight test booster still wouldn’t be ready for Starship installation (likely another unprecedented first) before mid-August.

That would then leave SpaceX five or six weeks to fully assemble Starship S20, a process that has yet to begin. Like Starship SN15, which Musk said sported “hundreds of improvements”, Musk has also stated that Ship 20 and all after it will feature another batch of upgrades needed to take Starship orbital. Starship SN15 was very gradually stacked and assembled over the course of almost four months, though that slow assembly can likely be blamed on the fact that SpaceX is busy testing Starships SN8 through SN11 and was effectively waiting to see if any other major changes might be required.

Starship SN20’s (now S20) thrust dome is the first non-pathfinder hardware to feature Raptor Vacuum mounts. (NASASpaceflight – bocachicagal)

While most of S20’s upgrades are a mystery, the ship’s thrust dome – spotted in work at Boca Chica earlier this month – has already confirmed that the prototype will be the first with the necessary hardware for Raptor Vacuum engine installation. That likely means that S20 will also be the first Starship to attempt to static fire six Raptor engines*, potentially producing more thrust than a Falcon 9 booster. On June 27th, one such vacuum-optimized Raptor (RVac) arrived in Boca Chica for the first time ever, making it clear that the comparatively brand new engine may already be ready to start integrated Starship testing.

*Update: SpaceX CEO Elon Musk says that the Raptor Vacuum delivered to Boca Chica on June 27th is, in fact, meant for Starship S20, seemingly confirming that the prototype will fly with a full six Raptor engines.

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Of course, beyond Starship and Super Heavy, SpaceX also has a great deal of work left to get the rocket’s first orbital-class launch facilities partially operational. SpaceX will need to complete and activate at least one or two more custom-built propellant storage tanks, sleeve those three or four tanks with three or four massive thermos-like ‘shells,’ complete thousands of feet of insulated plumbing and wiring, finish a massive ‘launch table,’ install that table on a six-legged ‘launch mount;’ outfit that table and mount with an array of power, avionics, hydraulics, and fueling equipment and plumbing; complete a ~145m (~475 ft) ‘integration tower,’ and perform the first fit checks and shakedown tests with a real booster or Starship.

Only then will SpaceX be able to attempt Starship’s first space launch. All told, it might not be literally impossible for SpaceX to complete all the above work in less than five weeks, but it’s safe to say that the odds of that happening could probably make a lottery ticket blush. Regardless, if Starship reaches orbit at any point before the end of 2021, it would beat out simpler “next-generation” rockets like Ariane 6, ULA’s Vulcan, and Blue Origin’s New Glenn despite beginning concerted development years later and with a far less certain funding situation.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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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.

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.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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.

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