News
SpaceX proves viability of Falcon 9 reuse, SES agrees to 2nd launch on used booster
SES will launch its SES-11 satellite aboard a previously recovered Falcon 9 first stage, according to new information provided to Spaceflight Now.
The company, Luxembourg-based telecommunications provider, made history earlier this year by enabling the first commercial reuse of an orbital-class rocket with the launch of its SES-10 satellite. Weighing in at just under 5,300kg, SES-10 marked the heaviest geostationary launch SpaceX has yet to conduct while still recovering the first stage. SES-11 will be approximately 100kg heavier at launch, and will make for a thorough test of Falcon 9’s recovery limits if SpaceX chooses to attempt it.
While not guaranteed, it is expected that SES-11 will launch aboard the same first stage that lifted CRS-10 into orbit earlier this year. Launching Dragons to low Earth orbit (LEO) makes for a considerably cooler and less damaging recovery for Falcon 9 first stages, likely leading to an easier refurbishment process. SES-10 utilized the same first stage that launched SpaceX’s CRS-8 mission.
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- CRS-8 also happened to mark the first successful ASDS recovery of a Falcon 9 booster. (SpaceX)
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- While not fully accurate, given that Ariane 5 carries two satellites per launch, this chart is still a profound demonstration of the rapid progress SpaceX has made in ensuring a more competitive commercial launch industry. (SpaceX)
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- SpaceX recovered core 1031, which launched CRS-10, in February 2017. (SpaceX)
Barely 16 months ago, CRS-8’s recovery marked the first ever sea-based recovery of a Falcon 9. Since that major accomplishment, SpaceX has recovered seven stages aboard their fleet of drone ships, landed four stages at their Florida-based landing pad, and successfully conducted the first two commercial reuses of recovered first stages. SES-11, currently scheduled for no earlier than September 27th, would mark the company’s third successful reuse. SES continues to demonstrate growing trust in SpaceX’s cutting-edge approach to shrinking launch costs, as the reused launch of SES-11 would mean that the telecom company has chosen to launch twice in a row on recovered Falcon 9s.
A first stage was captured near Hawthorne, CA, courtesy of an Instagram user. (Instagram /u/pooyagoudarzi)
After the successful launch of SES-10 in March of this year, SES was not yet willing to commit to a specific launch, although the company did state that they would be open to using reused stages again in the future. Three months later, SpaceX launched BulgariaSat-1, once again demonstrating successful reuse. It is clearer than ever that SpaceX’s relentless dedication to iterative technological improvement is making waves in both the company’s customer base and the launch industry worldwide. As SpaceX further lowers the cost of booster refurbishment, this disruption will only continue to grow.
Meanwhile, over on the West Coast, there are unconfirmed reports that the first stage that launched the Iridium-2 mission in late June – core 1036 – has recently arrive at SpaceX’s Hawthorne facilities to be refurbished for reuse at some later date. A photo was taken a handful of days ago and comments suggest that it is indeed 1036. Shotwell’s recent interview on The Space Show indicated 6 potential reuses in 2017, including the first launch of Falcon Heavy. FH, SES-10, BulgariaSat-1, and SES-11 account for 5 of those 6 reuses, making it likely that 1036 is aiming for another flight before the end of the year.
Source: Spaceflight Now
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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
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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.
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.”
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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.
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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.
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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
