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US Air Force issues RFP for massive rockets, SpaceX’s BFR could be one of them

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The US Air Force has released a Request For Proposal (RFP) that hopes to fund the development of multiple heavy-lift rocket prototypes to launch no later than 2021. The USAF specified on October 5 that it wants to partially fund prototype development for at least three promising US-sourced launch vehicles, while maintaining the options to select none of the proposals or even more than three. The purpose of these broad strokes is to provide the Air Force and US military in general redundant access to space by way of “at least two domestic…launch service providers” capable of meeting National Security Space (NSS) requirements.

However unlikely it may seem, NASA experienced this firsthand when two of the vehicles it funded, SpaceX’s Falcon 9 and Orbital-ATK’s Antares, experienced complete failures within less than a year of each other. Both vehicle failures destroyed supplies intended for the International Space Station and forced NASA to rely on Soyuz missions to fill the gaps created while producing considerable uncertainty for the agency. By funding two or more independent launch vehicles, the Air Force would lessen the impact of such failures, and this assured access is rightly perceived as an invaluable commodity in the military.

Several details in the latest proposal make it relatively easy to name the obvious prospective applicants. The payload requirements necessitate heavy lift or even super-heavy lift launch vehicles capable of placing anywhere from 5,000 to 37,500 pounds into a variety of Earth orbits, ranging from low Earth orbit (~500 mi) to direct transfer geostationary orbits (~19,200 mi). This narrows the field considerably, pushing out all smaller-scale vehicles. Also telling is a requirement that proposed launch vehicles make use of rocket propulsion systems (RPS) already funded for development by the USAF if at all possible.

Considering the inherently complex and difficult process of developing massive rockets, initial launch dates no later than 2021 (or 2024) likely mean that the vehicles being considered must already be under some level of serious development. This leaves us with four possible options in the US, undoubtedly not a coincidence given the RFP’s explicit goal of facilitating the creation of “at least three…prototypes as early as possible” and “at least two domestic…launch service providers”. These four vehicles are SpaceX’s BFR, Blue Origin’s New Glenn, ULA’s Vulcan, and Orbital-ATK’s NGL, all of which already have tentative inaugural launch dates clustered from 2019 to 2022. Perhaps even more revealing, all four vehicles can be expected to utilize several rocket propulsion systems (rocket engines) already funded by the Air Force, namely SpaceX’s Raptor, Blue Origin’s BE-4 and BE-3U, and Aerojet-Rocketdyne’s AR-1.

While the development of BE-4 and AR-1 have been somewhat veiled, SpaceX’s Raptor engine has publicly made a great deal of progress. As discussed during Elon Musk’s IAC 2017 presentation, the company has conducted an array of successful tests with its subscale Raptor program, to the tune of 42 individual hot-fire tests totaling more than 1,200 seconds. Musk also reported that the only thing preventing tests longer than 100 seconds was the size of the propellant tanks at the test stand, a genuinely impressive accomplishment if true. The sticking point, however, is how much difficulty SpaceX will have as they transfer to full-scale Raptor testing. The subscale Raptors being tested have a reported thrust of 1,000 kN, whereas the new full-scale thrust targets for BFR have settled on 1,700-1,900 kN, considerably smaller than the 3,000 kN figure from 2016 but still nearly a factor of two larger than the test articles SpaceX has had success with. In fact, educated speculation from SpaceX fans suggest that the operational Raptor as shown in 2017 may only need to be about 15% larger than the current test article(s). The pressure the full-size engine operates at will be considerably higher, so SpaceX’s work is not done by any means, but the company’s next-gen rocket propulsion system is arguably far closer to completion than any of its competitors’ offerings.

 

As far as we are publicly aware, SpaceX’s subscale Raptor testing has yet to result in a major failure and has largely been a great success. Blue Origin’s BE-4 is known to have experienced at least one critical failure during hot-fire testing, while AR-1 has not yet begun full engine tests but is well into concrete hardware testing. Blue Origin’ s BE-4 engine and its New Glenn rocket are currently expected to fly for the first time before 2020, with AR’s NGL tentatively planning for a 2021 inaugural flight, assuming the company chooses to continue pursuing its development.

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SpaceX has not yet specified when BFR or BFS will first take flight. Raptor is likely to begin full-scale testing relatively soon, and Musk revealed that SpaceX was aiming to begin construction of the first BFR as early as Q2 of 2018. It’s quickly starting to look like the U.S. is about to enter a sort of modern commercial space race and regardless of the outcome, the next several months and years are bound to be tense and exciting for SpaceX, Blue Origin, and the established incumbents as they battle for both public and private contracts.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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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.

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

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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.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.”

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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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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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.

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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.

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