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SpaceX Falcon 9 and $1B satellite trio set for first California launch in months
After the better part of both half a year of launch delays and launch pad inactivity, SpaceX and Falcon 9 are ready to return the company’s California-based SLC-4 facilities to action with the launch of the $1 billion Radarsat Constellation Mission (RCM).
Built by Maxar for the Canadian Space Agency (CSA), RCM is a trio of remote-sensing spacecraft designed with large surface-scanning radars as their primary payload. Having suffered years of technical delays during Maxar’s production process, RCM was initially available for launch as early as November 2018. In an unlucky turn of events, issues on the SpaceX side of things took RCM’s assigned Falcon 9 booster out of commission and lead to an additional seven or so months of launch delays. At long last, RCM is just one week away from heading to orbit, scheduled to launch from Vandenberg Air Force Base (VAFB) no earlier than 7:17 am PDT (14:17 UTC), June 12th.
The Goldilocks booster
Once the three RCM satellites were effectively complete, a series of unfortunate circumstances combined to delay the constellation’s launch almost indefinitely. The first domino fell in December 2018, when Falcon 9 Block 5 booster B1050 – having successfully supported Cargo Dragon’s CRS-16 launch – suffered a failure that prevented a successful landing. Incredibly, the booster did survive its accidental Atlantic Ocean landing and is now sitting in a SpaceX hangar, but B1050 is unlikely to ever fly again.
This posed a problem for Maxar and the Canadian Space Agency (CSA), who seem to have contractually requested that RCM launch on either a new or very gently flight-proven Falcon 9 booster. The problem: SpaceX had none of either option available for RCM after B1050’s unplanned swim and needed to balance the needs of several other important customers. Several Block 5 boosters were technically available but all had two or even three previous launches under their belts.
Meanwhile, SpaceX’s booster production had been almost entirely focused (and would remain so months after) on building four new Falcon Heavy boosters and the first expendable Falcon 9 Block 5 booster, reserved for the US Air Force and a long-delayed customer. Since those five boosters were completed and shipped out, just one additional booster (B1056) has been finished, launching Cargo Dragon’s CRS-17 mission just one month ago.
In short, had Maxar/CSA waited for a new booster, RCM’s launch would likely be delayed at least another 30-60 days beyond its current target of June 11th. Instead, they downselected to Falcon 9 B1051, then in the midst of several months of prelaunch preparations for Crew Dragon’s launch debut (DM-1). DM-1 went off without a hitch in early March, after which the gently-used B1051 underwent a brisk ~45 days of inspection and refurbishment before heading west to SpaceX’s VAFB launch pad.
Billion Dollar Babies
From an external perspective, forgoing a twice or thrice-flown Falcon 9 Block 5 booster after nearly a dozen successful demonstrations does not exactly appear to be a rational decision. However, whether it was motivated by conservatism, risk-aversion, or something else, Maxar and CSA likely have every contractual right to demand certain conditions, as long as they accept the consequences of those requirements. In the case of RCM, the customers accepted what they likely knew would be months of guaranteed delays to minimize something they perceived as a risk.
To some extent, it’s hard to blame them. After going more than $400M over budget, the Maxar-built trio of upgraded Radarsat satellites are expected to end up costing more than $1 billion. CSA’s annual budget typically stands around $250M, meaning that this single launch is equivalent to four years of space agency’s entire budget. A failed launch would be a huge setback. Additionally, RCM will likely become the most valuable payload ever launched by SpaceX, beating out the Air Force’s ~$600M GPS III SV01 spacecraft by a huge margin. For RCM, mission assurance is definitively second to none.
If all goes as planned, Falcon 9’s RCM launch should also mark the second use of SpaceX’s West Coast landing zone (LZ-4), christened during the October 2018 launch of SAOCOM 1A – coincidentally, also a radar-carrying Earth observation satellite. This means that press photographers (including Teslarati’s Pauline Acalin and Tom Cross) will have their second chance ever to capture remote images of a SpaceX booster landing.
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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
