For the fourth time in nine months, SpaceX has docked a Dragon spacecraft to the International Space Station with a second Dragon already present at the crewed orbital laboratory.
Launched Saturday on a Falcon 9 rocket after a one-day weather delay, SpaceX’s first upgraded Cargo Dragon 2 spacecraft gradually boosted and tweaked its orbit over the course of ~30 hours, looping around the Earth 20+ times before docking with the ISS more than half an hour ahead of schedule. Dragon’s Monday, August 30th arrival marked cargo capsule C208’s second space station docking in nine months, smashing SpaceX and the world’s turnaround record for a reusable orbital space capsule – of which Dragons are the only still flying.
SpaceX’s first twice-flown Crew Dragon was there to greet the first twice-flown Cargo Dragon 2 spacecraft when it docked, having spent the last four months in orbit in support of NASA’s second operational commercial crew mission (Crew-2). A similar instance of a pair Dragons meeting in space is likely to occur at least two more times before the end of 2021.
The first two-Dragons-one-ISS instance occurred just nine months ago when the very same Cargo Dragon 2 spacecraft (capsule C208) rendezvoused and docked with the ISS with SpaceX’s Crew-1 Crew Dragon already attached. At the time, in a number of press conferences and public statements centered around the launch of Crew-1 and CRS-21, SpaceX repeatedly hinted at just how prolific a year 2021 would be for Dragon and it’s hard to argue that the company was exaggerating.
Indeed, exactly as SpaceX foretold, Dragon spacecraft have maintained a continuous presence in orbit and repeatedly operated side by side at the ISS since Crew-1’s November 2021 launch. For the majority of NASA’s Commercial Crew Program development, that degree of continuous, single-provider operations was never meant to happen. SpaceX’s upgraded Cargo Dragon, for example, is one of two independent Commercial Resupply Services (CRS) spacecraft that regularly resupply the space station, ensuring redundancy in the event that one spacecraft or rocket runs into major issues. A third CRS vehicle – Sierra Nevada’s Dream Chaser spaceplane – will also begin cargo deliveries sometime next year.
NASA’s Commercial Crew Program was structured in the same way, with Boeing and SpaceX serving as two redundant crew transport providers. Of course, things didn’t go exactly according to plan and Boeing – despite receiving 60% (~$2B) more funding than SpaceX – has suffered numerous catastrophic issues in recent years, nearly dooming its Starliner spacecraft’s first uncrewed launch in December 2019 and ultimately delaying the company by two or more years.
After further issues delayed Starliner’s uncrewed do-over test flight (OFT-2) from August to late 2021 or early 2022, it’s entirely possible that SpaceX will operate as NASA’s sole crew transport solution for more than 18 months before Boeing flies a single astronaut. In other words, it’s likely that SpaceX will need to maintain the extraordinary cadence of Dragon launches demonstrated in 2021 well into 2022, and possibly even 2023. Since November 2020, SpaceX has launched three Cargo Dragon 2 resupply missions and eight astronauts on two Crew Dragons.
Another two NASA Dragon missions – Crew-3 and CRS-24 – are scheduled to launch in October and December 2021 and SpaceX’s first fully private Inspiration4 Crew Dragon launch could happen as early as September 15th. So long as Boeing’s Starliner is unable to fulfill its crew transport role, all future SpaceX Crew and Cargo missions for NASA – including Crew-3 and CRS-24 – will continue to see one Dragon meet another at the ISS. All told, barring possible delays to CRS-24, SpaceX is on track to launch eight Dragons – four Crew and four Cargo; 16 astronauts and 11 tons of space station supplies – in 13 months.
If Crew Dragon and Cargo Dragon 2 are considered to be two variants of the same Dragon 2 spacecraft, the only other instance in history where another orbital spacecraft came close to eight successful orbital launches in ~13 months was NASA’s Gemini Program, which completed eight crewed test flights in ~14 months in 1965 and 1966.
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NASA’s Apollo spacecraft also completed six successful flights (5 crewed, 1 uncrewed) in 13 months in 1968 and 1969. Russian Soyuz vehicles – the most prolific crewed spacecraft in history – have also successfully flown 8 times in 13 months and 9 times in 14 months in the 1970s. Put simply, SpaceX’s Dragon program is now singlehandedly executing at or above the level of the two most prolific national space programs in history at funding peaks that haven’t been touched since and for a fraction of the cost.
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
