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SpaceX’s high-altitude Starship launch debut unlikely before Crew-1
Update: SpaceX canceled its November 5th and 6th Starship SN8 static fire test windows on Thursday, delaying the next Starship test window to November 9th unless additional testing is scheduled on the 7th and 8th.
As previously discussed, SpaceX requested three road closures for “Starship SN8 Static Fire and 15KM Flight” attempts on November 9th, 10th, and 11th on Wednesday. With recent cancellations, NASASpaceflight reporter Michael Baylor says that the odds that Starship SN8 will be ready to fly before SpaceX’s Crew-1 operational NASA astronaut launch debut (NET November 14th) are now minuscule, further indicating that each of the three upcoming test windows will be dedicated to one or more Raptor static fires.
Stay tuned for updates as SpaceX continues to prepare Starship for its most ambitious, challenging, and risky test yet.
In the form of road closure filings, SpaceX has effectively announced the first possible dates for Starship’s high-altitude launch debut, a high-risk test that CEO Elon Musk recently made clear could fail.
Per road closures published on SpaceX’s dedicated Cameron County, Texas page, Starship serial number 8 (SN8) could apparently be ready for its historic launch debut as soon as November 9th in a 12-hour window that opens at 9am CST (15:00 UTC). Identical 9am-9pm windows on November 10th and 11th will serve as backups in the event of one or several launch aborts or delays – fairly likely for a prototype as complex as Starship SN8.
However, several tests stand between SN8 and flight-readiness, further increasing the odds of delays as SpaceX continues to work out the kinks in what amounts to the first fully-assembly, functional Starship.
Musk has already stated that Starship SN8 will need to complete another Raptor static fire test – potentially with one, two, or three engines – before SpaceX will consider the rocket ready for its flight debut. Over the last few days, NASASpaceflight.com reporter Michael Baylor has noted on livestreams that multiple more static fire tests are actually in order before SpaceX will attempt to launch Starship SN8. It’s currently unclear what the purpose of those additional static fire tests is, given that SN8 has already completed a triple-engine Raptor static fire.
In the two weeks since that milestone, however, SpaceX did take a major step forward, mating Starship SN8’s nose section to create what is effectively the first full-scale, functional prototype. Aside from two smaller forward flaps and attitude control system (ACS) cold gas thrusters, that nose section also contains a small secondary liquid oxygen tank known as a header tank – meant to store a small amount of highly pressurized propellant to be used during Raptor reentry and landing burns. Several months back, Musk revealed that Starship SN4 completed a static fire while only feeding on fuel (liquid methane) stored in the rocket’s methane header tank, making it reasonable to assume that SpaceX wants to repeat a similar test with SN8 while using both fuel and oxidizer header tanks.
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For Starship SN8, those header tanks will be an irreplaceable necessity during the rocket’s first attempted launch, free-fall, flip maneuver, and landing. In a clear sign of preparation for a header-tank-only static fire test, SpaceX appeared to successfully complete a cryogenic proof of Starship SN8’s newly-installed nose section and nose (LOx) header tank on November 3rd, verifying that liquid nitrogen – standing in for LOx – can be pumped more than 50 meters (~165 ft) from Starship’s launch mount to the tip of its nose to load said tank.
SpaceX has one more “SN8 nose cone cryo proof” test window scheduled from 8am to 5pm CST Thursday, November 5th that could be used for one or more of those expected static fire tests. Otherwise, SpaceX’s Starship SN18 15 km (~50,000 ft) launch closures were technically filed for an “SN8 Static Fire and 15 KM Flight,” allowing SpaceX to perform one or several static fires before attempting to launch. All things considered, the odds that Starship SN8 will launch on time between November 9th and 11th are probably less than 50:50, but there is definitely a chance.
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
