News
SpaceX executive talks rocket R&D: “Nobody paid us to make Falcon Heavy”
Set to give a keynote speech on October 3rd at 2018’s International Astronautical Congress (IAC), Hans Koenigsmann – SpaceX Vice President of Build and Flight Reliability – attended an impromptu talk one day prior, titled “From the University of Bremen to SpaceX”.
Speaking before a small audience, the University of Bremen graduate and fourth employee to join SpaceX discussed his opinions of Falcon Heavy, BFR, and more, frankly relating how SpaceX intentionally chose to build Falcon Heavy on its own, going so far as to turn down funding reportedly offered by one or more US government agencies.

From Bremen to SpaceX (to Bremen)
Hopefully a sign of things to come for his 09:20 UTC, Oct. 3 keynote, titled “Reusability: The Key to Reliability and Affordability”, Hans’ precursor talk centered around the circuitous path that led him from University of Bremen to SpaceX, humorously describing how he “got bored of airplanes pretty quickly” after becoming an aerospace engineer. He quickly turned to space, hopping between a number of German smallsat projects that eventually led him to settle in the U.S. after flying there and back “at least 25 times”.
Once in the US, he wound up working at spaceflight startup Microcosm – alongside now-president and COO of SpaceX Gwynne Shotwell – for several years before running into Elon Musk and almost immediately accepting the eccentric entrepreneur’s SpaceX job offer in 2002. He has worked for SpaceX ever since and now spends a majority of his time managing and overseeing its BFR, Block 5, and Crew Dragon programs with a focus on systematically ensuring reliability. He touched on the company’s BFR development program and pointed to the fabrication of massive composite structures as the single most pressing challenge facing SpaceX engineers and technicians.
Asked by an audience member about the apparent difficulty of developing the heat-shield segment of BFR’s spaceship upper stage (BFS), Koenigsmann was quite confident that it would be a relatively easy aspect of the craft’s development, making the argument that what really matters to the craft is overall heat transfer per unit of its shield. From a basic comparison of the area of a given heat shield and the spacecraft’s mass at reentry, his lack of concern is probably warranted – a BFR spaceship’s worst-case LEO reentry is likely to be less stressful than an average Space Shuttle reentry.
- BFS bares its belly in a 360 degree animation. (SpaceX)
- Space Shuttle Endeavor shows off its main heat shield during an on-orbit inspection in August 2007. (NASA)
- A slightly broader overview of BFS just after separating from the booster. Note notches along the shield/skin divide, as well as very specific access panels, hatches, and smaller protuberances. (SpaceX)
“Try [to not] get money from the government”
Perhaps most intriguing of all Koenigsmann’s comments was an almost unprovoked segue into the US government’s involvement in Falcon Heavy development. According to the SpaceX executive, the company was actually approached by “the government”, with the unknown agency or agencies stating – in Hans’ words – that they wanted to be a part of the rocket’s development. According to Hans, SpaceX responded in an extremely unorthodox fashion: “we said, ‘Nope! We just wanna build it, you can buy it when it’s ready and we’ll charge you for the service.’” He noted in the next sentence that funding was the primary lever on the table:
“It’s a great position to do this, you gotta find the money, you gotta know people that have money and are willing to invest in your company, and [SpaceX has] been lucky enough to know some of those people.”
In other words, when given an opportunity to either rely on government funding or some other source of capital for a given R&D project, SpaceX – or at least Hans Koenigsmann, VP of Reliability – would apparently recommend the latter option in almost all cases. Again, without being prompted, he elaborated on his feelings about funding sources, culminating in a statement that is simply profound coming from an executive in the aerospace industry. The following quote is unabridged and straight from Hans himself:
“You need to [try to not] get money from the government, otherwise the government will tell you what to build and how to build it… they will tell you how to build this and that’s just not always – I mean for some things it’s the best to do, but in others it’s actually not.”
- A concert of Draco thrusters work to push Dragon away from the ISS and back towards Earth. (ESA)
- The first spaceworthy Crew Dragon capsule is already in Florida, preparing for its November 2018 launch debut. The same capsule will be refurbished and reflown as few as three months after recovery. (SpaceX)
- It’s currently unclear whether B1046 or B1048 will become the first SpaceX rocket to fly three times. (Tom Cross)
This sentiment could suggest that SpaceX will seek to prioritize private funding sources for the development of future vehicles like BFR’s rocket and spaceship, although there is plenty of room for interpretation in Hans’ IAC 2018 comments. SpaceX currently maintains strong and productive relationships with both NASA and the USAF, primarily centered around the company’s $2.6B fixed-price contract for the development and operation of Crew Dragon.
Watch and listen to Hans Koenigsmann’s full presentation below.
https://www.youtube.com/watch?v=hs2LBeLCo_s
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
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.






