News
NASA asks SpaceX to decide the fate of ‘Dragon XL’ lunar cargo spacecraft
In a new Request For Information (RFI) quietly released by NASA on April Fools’ Day, the space agency appears to have indirectly asked SpaceX to determine the fate of its ‘Dragon XL’ lunar cargo spacecraft.
In March 2020, NASA announced that it had selected SpaceX to deliver the bulk of pressurized and unpressurized cargo it would need to crewed and operate a proposed “Gateway” lunar space station for the first several years of its existence. To accomplish that task, SpaceX would develop a heavily-modified single-use version of its Dragon 2 spacecraft with more propellant storage, more space for cargo, and a range of other design changes.
Known as Dragon XL, that spacecraft would weigh around 15 to 16 tons (~33,000-35,000 lb) at liftoff and likely require a fully or partially expendable Falcon Heavy launch for each mission to the Moon. At the time, it was a fairly balanced and reasonable choice on NASA’s part, leveraging existing investments and experience with SpaceX and Dragon and erecting no major technical hurdles. However, more than two years later, NASA still hasn’t started work on the contract.
That’s why the new April 1st RFI is so intriguing. NASA begins by referencing fine print in the original 2018 Gateway Logistics Services (GLS) Request For Proposals (RFP) that allows the agency to continue receiving and considering new proposals from new and existing providers throughout the program’s planned 17-year lifespan. The agency says its primary motivations are for “information and planning purposes, to request feedback, to promote competition,” and to “[determine] whether to conduct an on-ramp in 2022.” NASA doesn’t specify what exactly that means, but in the context of the rest of the text, it appears that the agency wants to use this RFI to help determine whether or not to finally “on-ramp” its existing Dragon XL contract with SpaceX.
However, the document gets far more interesting and suggestive. Later, NASA spells out what exactly it wants respondents to discuss. In a list of eight main questions, the agency repeatedly hints at a desire to substantially expand the scope of GLS. In question #8, NASA asks if, to help “create a vibrant supply chain in deep space,” respondents would be able to deliver additional cargo to “cislunar orbits [and] the lunar surface” or offer a “dedicated delivery tug capability” or “rapid response delivery service.”
NASA also asks for information on ways prospective GLS providers could “[minimize] the cost impact of…requirement changes,” “reduce operating costs,” and “minimize upfront costs.” In questions #2 and #3, NASA requests details about “new and/or innovative capabilities” that could “significantly increase…cargo delivery capacity” within “the next five years” and states that “offerors exceeding the minimum [cargo] capabilities may be viewed more favorably.”
NASA seems very interested in the potential benefits of alternative deep space cargo transport services that are both cheaper and more capable than Dragon XL. Between the lines, however, the RFI also reads as if it was written directly to SpaceX. The first question is perhaps the most telling: “Is your company interested in on-ramping to the GLS contract to provide Logistics Services as described in the original solicitation?”
SpaceX is the only company with an existing GLS contract that it could “on-ramp to” – a roundabout way to say “start work on”. In the following questions, NASA then repeatedly expresses interest in cargo transport capabilities well beyond the original contract’s requirements and asks about innovative new capabilities that could enable such improvements. NASA even “recognizes” and hints at a willingness to consider unorthodox solutions that, for example, might require “more than one launch” per cargo delivery or help “minimize upfront costs to the Government.” Put simply, while it does open the door for just about any US company to inform NASA about new GLS options, it’s hard not to conclude that this new RFI is at least partially designed to give SpaceX an opportunity to propose Dragon XL alternatives or upgrades.
-
The most obvious option: Starship. Through the Human Landing System (HLS) program, NASA has already committed to investing at least $3 billion to develop a crewed Starship Moon lander and the fully-reusable launch vehicle and refueling infrastructure required to launch and operate it. With barely any modification, the Starship architecture SpaceX and NASA are already developing could be used to deliver dozens of tons of pressurized cargo to cislunar space, lunar orbit, the Gateway, the lunar surface, or just about anywhere else NASA wants. Leveraging that significant investment would also tick almost every box in NASA’s new RFI by drastically reducing upfront and total development costs, helping to stimulate a “vibrant” deep space supply chain, and beating Dragon XL’s cargo capabilities by a factor of 5, 10, or even 20+.
Of course, there are technical challenges and reasons to believe that Starship can’t easily replace Dragon XL. Even Dragon XL risked running into Gateway’s visiting vehicle mass limit of just 14 tons. Starship would likely weigh at least 100-200 tons – more than the entire Gateway. Dragon XL would use non-cryogenic propellant and is baselined to spend at least 6-12 months at a time at the Gateway. NASA has also studied the possibility of using Dragon XL as a crew cabin or bathroom to temporarily relieve Gateway’s extremely cramped habitable volume. Starship’s main engines use cryogenic propellant that wants nothing more than to warm up and boil into gas, making it far harder to keep at the station for months at a time. Those problems are likely solvable, but it’s still worth noting that Starship is not a perfect fit right out of the box.
The RFI could also end with a whimper if SpaceX simply tells NASA that it’s happy to proceed with Dragon XL as proposed. Only time will tell. NASA is planning to hold an industry day on April 20th to better explain the RFI’s goals and wants responses by May 31st, 2022, after which the agency will decide whether or not to follow up with a solicitation or on-ramp Dragon XL.
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
