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SpaceX Falcon 9 crushes next-gen ULA Vulcan rocket on cost in first competition
The United Launch Alliance’s (ULA) next-generation Vulcan Centaur rocket appears to have made it through what could be described as its first real competition with SpaceX and its Falcon 9 workhorse.
The US Space Force (or Air Force) awarded both rockets two launch contracts each on March 9th, marking the second award under “Phase 2” of a new National Security Space Launch (NSSL; formerly Evolved Expendable Launch Vehicle or EELV) agreement. The culmination of a multi-year competition, NSSL Phase 2 calcified in late 2020 when the US military ultimately chose ULA and SpaceX as its primary launch providers for the better part of the next decade.
The final Phase 2 agreement followed Phase 1, in which the USAF committed up to $2.3 billion to assist Blue Origin, Northrop Grumman, and ULA in their efforts to develop future military launch capabilities. SpaceX submitted a proposal but didn’t win funds. Even though the ULA-SpaceX dichotomy was already a more or less fixed outcome before the competition even began, the US military still managed to dole out almost $800 million to Blue Origin and Northrop Grumman before announcing that neither provider had been selected for Phase 2.
Notably, as part of Phase 1, ULA is on track to receive nearly $1 billion in USSF/USAF aid to develop its next-generation Vulcan Centaur rocket and ensure that it meets all of the military’s exacting, unique requirements. SpaceX, on the other hand, received a sum total of $0 from that opaque slush fund to meet the exact same requirements as ULA.
For Phase 2, the US military arbitrarily split the roughly two-dozen launch contracts up for grabs into a 60/40 pile. Even more bizarrely, the USAF did everything in its power to prevent two of the three rockets it had just spent more than $1.7 billion to help develop from receiving any of those two or three-dozen available launch contracts – all but literally setting $800M of that investment on fire. Short of comical levels of blind ineptitude, verging on criminal negligence, the only possible explanation for the US military’s behavior with NSSL Phase 1 and Phase 2 is a no-holds-barred effort to guarantee that ULA and its Vulcan Centaur rocket would have zero real competition.
The arbitrary 60:40 split of the final Phase 2 contract ‘lot’ further supports that argument. A government agency objectively interested in securing the best possible value and redundancy for its taxpayer-provided money would logically exploit a $1.7B investment as much as possible instead of throwing two-thirds of its ultimate value in the trash. On its own, a block-buy scenario – even with a leading goal of selecting two providers – is fundamentally inferior to an open competition for each of the dozens of launch contracts at hand.
Further, selecting the block-buy option and failing to split those contracts 50:50 makes it even clearer that the USAF’s only steadfast NSSL Phase 2 goal was to guarantee ULA enough Vulcan launch contracts for the company to be comfortable and (most likely) not lose money on a rocket that has yet to demonstrate an ability to compete on the commercial launch market.
Amazingly, despite multiple handicaps in the form of a 60:40 contract split and what amounts to a $1B subsidy that explicitly disadvantages its only competitor, ULA’s Vulcan rocket still appears to be ~40% more expensive than SpaceX’s Falcon 9. In the latest round of NSSL Phase 2 contracts, seemingly the first in which ULA’s Vulcan Centaur rocket was selected, SpaceX’s Falcon 9 received two East Coast launch contracts worth slightly less than $160M, averaging out to less than $80M each.
Outfitted with four of a possible zero, two, four, or six strap-on solid rocket boosters (SRBs), Vulcan Centaur received two launch contracts for $224M – an average of $112M each. Assuming ULA wins exactly 60% (~15) of the Phase 2 launch contracts up for grabs and receives no more than $1 billion in USAF development funding through NSSL Phase 1, some $67 million will have to be added to the cost of each announced Vulcan launch contract to get a truly accurate picture. In the case of the rocket’s first two contracts, the real average cost of each Vulcan Centaur launch could thus be closer to $179M ($112M+$67M).
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According to ULA CEO Tory Bruno, both Vulcan missions are to “high-energy orbits,” whereas a USAF official told Spaceflight Now that SpaceX’s two Falcon 9 contracts were to “lower-energy orbits.” In Vulcan’s defense, if Bruno’s “high-energy orbit” comment means a circular geostationary orbit (GEO) or a very heavy payload to an elliptical geostationary transfer orbit (GTO), it’s possible that SpaceX would have had to use Falcon Heavy to complete the same contracts. Against Falcon Heavy’s established institutional pricing and excluding ULA’s $1B Phase 1 subsidy, Vulcan Centaur is reasonably competitive.
Ultimately, even with several significant cards stacked against it, SpaceX appears likely to continue crushing entrenched competitors like ULA and Arianespace on cost while still offering performance and results equivalent to or better than even than their “next-generation” rockets.
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
