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SpaceX stacks Starship nose section for the first time in months
SpaceX has stacked a Starship nosecone section to its full height for the first time in almost a year, featuring an upgraded design that could soon support an ambitious series of flight tests.
Back in August 2019, SpaceX first began stacking the nose section of Starship Mk1 – the first full-scale prototype of any kind. It became clear a few months later that Starship Mk1 was more of a rough proof of concept than a full-fidelity test article, but it still became the first (and only, so far) Starship to reach its full ~50m (~160 ft) height. After serving as a centerpiece during CEO Elon Musk’s September 2019 Starship presentation, SpaceX removed the nose and attempted to test the Mk1 tank section itself, ultimately destroying the ship.
Now eight months distant from Mk1’s demise, SpaceX’s Starship R&D program has entered the prototype mass-production phase. Since January 2020, SpaceX has built five upgraded Starship tank sections (and tested three to destruction), built and tested four stout test tanks, and completed at least 4-5 new nosecone prototypes. For the first time since nosecone production began several months ago, one of the noses has finally been stacked to its full height atop five steel rings.
At the moment, SpaceX is hard at work preparing Starship SN5 for its first wet dress rehearsals (WDRs) with methane and oxygen propellant and either one or several Raptor engine static fire tests. If successful, SpaceX will quickly move to flight test preparations, readying SN5 for a nominal ~150m (~500 ft) hop, though the company is technically no longer restricted to that ceiling. For such a low-altitude test, aerodynamic features like a nosecone or flaps serve no functional purpose, meaning that SN5 is unlikely to ever receive those additions.
Roughly two miles west of the coastal launch and test site SN5 is stationed at, SpaceX has already more or less finished Starship SN6, although the newest ship’s fate is unclear. Pictured above on July 10th, the task of stacking an even newer ship (likely SN8) may already be underway. Last month, SpaceX tested a new ‘test tank’ built out of a different steel alloy said by CEO Elon Musk to be theoretically superior. Two cryogenic pressure tests seemingly confirmed that suspicion, proving that 304L stainless steel fails more gracefully than 301 while still offering similar strength at the pressures Starships operate at. The SN7 test tank was built and tested around the same time as SpaceX was finishing up SN6, implying that the ship was almost certainly built out of 301 steel.
If 304L really is the way forward for future Starship prototypes, the next step will be building an entire ship out of the steel alloy and performing a full cryogenic proof test and wet dress rehearsal. Given that SN5 and SN6 are likely identical (or nearly so), SN6 may have been made redundant before the ship even left the factory floor.
This is all to say that it’s a bit of a mystery where the first upgraded nosecone will find itself in the coming weeks. Like SN6 or SN7, it could either be redundant on arrival, built as practice, or both. It could also be the first nosecone installed on a flightworthy Starship prototype. It’s unlikely but not impossible that SN5 survives its static fires and first hops and is modified to support three Raptors and aerodynamic control surfaces, while SN8 and SN9 are more probable candidates for the first high-altitude, high-velocity test flight(s). SpaceX has at least 3-5 more Starship nosecones strewn about its Boca Chica factory, though, so odds are good that the first new nose section to reach full height won’t be the first to take flight.
For now, Starship SN5 (sans nose) is scheduled to attempt its first wet dress rehearsal (WDR) no earlier than July 16th. If successful, a static fire could follow a few days after that and a hop test another few days later.
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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.
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.
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
