News
SpaceX’s fleet of rocket recovery ships is about to get even bigger
Four months after SpaceX gave up on catching Falcon fairings and stripped and returned a pair of leased ships it had modified for that purpose, the company’s permanent fairing recovery solution has just come into focus.
The April 2021 departure of GO Ms Tree (formerly Mr. Steven) and GO Ms Chief from SpaceX’s East Coast fleet made it unambiguously clear that the company was abandoning fairing catching in favor of simply scooping the several million dollar nose cone halves off of the surface of the ocean. By the time that decision was made, SpaceX had reused fairing halves more than two dozen times on more than 15 Falcon 9 launches – practically none of which had actually been caught by Ms Tree or Ms Chief.
In fact, SpaceX had already begun to reuse ‘scooped’ fairing halves on commercial Falcon 9 launches, including two Transporter rideshare missions with dozens of different customers and SiriusXM’s SXM-7 multimillion-dollar geostationary communications satellite. Perhaps even more importantly, SpaceX was routinely flying splashdown fairing halves three or even four times and flew one particular half twice in just 49 days.
Put simply, thanks to the heroic and somewhat unexpected success of a small subset of SpaceX’s fairing recovery, waterproofing, design improvements, and refurbishment upgrades got so good even fairings that splashed down in the Atlantic Ocean could be rapidly reused and flown multiple (now 5+) times apiece. Onto its third consecutive year of only marginal success and a distinct lack of reliability, that meant that SpaceX’s long-struggling effort to catch Falcon fairings had effectively been made redundant.
While it’s likely that scooped fairing halves would never be certified to fly high-value US military or NASA payloads, SpaceX appears to have matured the technology to the point that it’s good enough for Starlink and many (if not most) of its private-sector launch customers. Along those lines, with Ms Tree and Ms Chief out of the picture by early April, SpaceX had to briefly shoehorn Dragon recovery ships GO Navigator and GO Searcher into scooping roles to continue recovering fairings and eventually decided to lease or rent two far larger ships with built-in deck cranes.
For whatever reason, those leases or rentals only lasted a handful of weeks apiece and the latest ship – Hos Briarwood – departed SpaceX’s fleet in early July. In an extremely rare impromptu hiatus, SpaceX hasn’t launched once since late June, likely explaining why Briarwood – with a 100% fairing recovery success rate over two missions – departed when it did.
Now, first reported by SpaceExplored.com, the first signs of SpaceX’s long-expected permanent fairing recovery solution have appeared at an obscure Louisiana drydock. By all appearances, for the first time in its history, SpaceX has outright purchased two decade-old offshore supply ships formerly known as Ingrid and Ella G. Thankfully, SpaceX wiped clean any hint of ambiguity with the installation of a classic SpaceX “X” and by renaming the ships “Bob” and “Doug” after the pair that became the first NASA astronauts to ride a Falcon 9 rocket and Crew Dragon spacecraft to orbit in May 2020.
Relative to any of SpaceX’s more permanent fleet, including ex-members Tree and Chief, Bob and Doug are massive ships, measuring more than 80m (260 feet) long. They’re also five or six times heavier than the likes of GO Searcher or Ms Tree. Aside from an obvious potential role as fairing ‘scoopers’ thanks to the installation of large deck cranes, Bob and Doug also appear to have had heavy-duty winches installed, implying that they could also double as drone ship towboats.
Potentially, that means that SpaceX could shrink the fleet of ships needed to support each drone ship booster landing from two to one, using Bog and Doug to both tow and service the landing platforms at sea.
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.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
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.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
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.
