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SpaceX’s NASA Crew Dragon launch manifest doubles in three months
NASA says it will soon award SpaceX another five Crew Dragon astronaut transport contracts after purchasing three extra missions from the company on February 28th.
That June 1st announcement means that NASA has more than doubled the number of operational Crew Dragon astronaut launches planned between 2020 to the end of 2030 in the last three months – a decision that represents another major SpaceX upset over Boeing. In reality, NASA has simply made some cold and rational calculations about its two Commercial Crew providers and – with no ill intent – made far-reaching decisions to preemptively secure its astronauts’ access to the International Space Station (ISS) for the rest of this decade. Intentional or not, however, the optics of those decisions speak volumes.
When NASA awarded Boeing and SpaceX their original $4.2 billion and $2.6 billion Commercial Crew Transportation Capability (CCtCap) contracts in 2014, the agency’s goal (or hope) was for both providers to complete the development of their Starliner and Crew Dragon spacecraft in roughly the same amount of time. Boeing and SpaceX would have then taken turns, each performing one six-month crew transportation mission per year and ensuring redundant access to the ISS for the rest of its life.
More realistically, the general assumption was that Boeing – an ancient aerospace company with half a century of spaceflight experience – would smoothly complete Starliner while SpaceX – a 12-year-old startup – would struggle to push Crew Dragon across the finish line. Of course, exactly the opposite proved to be true. For what would ultimately become (to NASA) $3.15 billion to Boeing’s $4.95 billion and development and test flight costs of $1.2 billion to Boeing’s $2.2 billion, SpaceX completed its first successful uncrewed and crewed Crew Dragon test flights in March 2019 and May 2020. In contrast, Boeing’s first uncrewed Starliner launch attempt nearly ended in catastrophe in December 2019. A second July 2021 attempt at that mission was prevented from launching by unrelated technical difficulties. Only on May 25th, 2022 did Boeing finally complete the equivalent of Crew Dragon’s March 2019 Demo-1 test flight.
NASA’s February 28th purchase of three more SpaceX Crew Dragon missions was unsurprising. The future of Starliner was still unclear and the Dragon missions it was purchasing could be needed as early as 2023 if Boeing’s spacecraft was not ready in time. The timing of NASA’s notice of intent to purchase another five Crew Dragon missions one week after the end of Boeing’s mostly successful OFT-2 test flight, however, is somewhat surprising. Instead of throwing Boeing a bone after its long-awaited success and somewhat balancing the scales between its two Commercial Crew providers, NASA has ultimately decided to purchase more than twice as many crew missions from SpaceX.
Following NASA and SpaceX’s successful Crew-4 launch last month, the space agency needs 16 more six-month transport missions from SpaceX and Boeing to ensure astronaut access to the ISS between now and late 2030. NASA has issued its intent to perform up to 14 operational Crew Dragon missions and up to 6 Starliner missions (via Boeing’s original contract). Subtracting the 4 missions SpaceX has completed or is in the midst of completing, NASA will soon have all the contracts it needs to crew the ISS until the end of 2030 without purchasing a single extra mission from Boeing.
As a result, barring surprises, SpaceX will likely be responsible for launching 70% of all NASA and ESA astronauts from late 2020 to the end of 2030, while Boeing will be tasked with carrying the remaining 30%. A less likely Commercial Crew outcome would have been hard to imagine in 2014.
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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
