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SpaceX to in-house mass production of Starlink internet satellite hardware
SpaceX is rapidly expanding it’s Starlink internet constellation development to prepare for full-scale production and aims to bring nearly every major piece of satellite and network hardware and software in-house, according to details revealed in dozens of job postings.
While not explicit, this appears to indicate a significant convergence of multiple possible paths to an operational constellation. Put simply, SpaceX now intends to build every single major component of its 4400+ satellite network in-house. It’s almost easier to list the things SpaceX does not mean to build themselves, but here’s a stab at the components to be built in-house: satellite structures, laser (optical) data interlinks, on-orbit phased array antennae, digital signal processor (DSPs) software and hardware to aim those antennae, solar arrays, battery systems, power electronics, custom integrated circuitry and systems on a chip (SoCs), user terminals and larger gateways, network operations, production automation, autonomous satellite constellation management, and much, much more.
Remote camera has been retrieved, wet with morning dew…and WITH images! Awesome launch by SpaceX. @teslarati #SpaceX #Paz #Starlink pic.twitter.com/tDTXxZErN4
— Pauline Acalin (@w00ki33) February 22, 2018
While entire articles could be spent describing the complexities of every single one of the above subsystems, the point is that SpaceX appears to have gone all-in on building its own satellite constellation, departing from stances in the past that appeared to leave room for subcontracting and outsourcing the production of major parts of the network, particularly with respect to ground terminals and gateways. Postings for ground station and user terminal engineers describe a goal of medium to high volume in-house production of the critical network and customer-facing hardware, and an entry into the production of high volume consumer technology would be a truly eclectic and unprecedented step for a company theoretically focused on launch vehicle development and production and sustainable Mars colonization.
If anything, they speak to the truly vertical nature of SpaceX. Many technology development production companies would simply accede and accept the best subcontractor/outsourcing bid when entering into new territory truly outside of their internal expertise. SpaceX engineers and managers, however, seem to have concluded that the vast majority of hardware and corporate expertise they could co-opt is just not satisfactory for the purpose of building a paradigm-shifting satellite constellation; or as CEO Elon Musk noted in 2015, to “revolutionize the satellite side of things, just as we’ve done with the rocket side of things.”
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- SpaceX’s first Starlink prototypes launched in late February aboard a flight-proven Falcon 9 booster. (Pauline Acalin)
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- SpaceX’s first two Starlink prototype satellites are pictured here before their inaugural Feb. 2018 launch, showing off a utilitarian design. (SpaceX)
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- Falcon 9 roars into the dark California sky with PAZ and Starlink. (Pauline Acalin)
This new (and, in retrospect, unsurprising) trailblazing attitude also helps to explain the marginal delay to Musk’s original 2015 schedule, which estimated initial constellation operations (i.e. a few hundred satellites launched) would begin around 2020. Approximately a year later, SpaceX had built rough prototypes in the form of the original Microsat 1A and 1B twins. This initial foray into independent, long-term communications smallsats was shuttered fairly quickly, and neither of the demo satellites were launched. Instead, SpaceX dove back into prototype design and development, culminating roughly two years later with the March 2018 launch of two dramatically improved prototypes, known as Tintin A and B (or Microsats 2A and 2B in FCC licenses).
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It seems probable that the source of this delay lay in an internal decision to dramatically reconfigure the internet constellation for far more in-house development, whereas the original Microsats were likely pieced together from a range of components derived from SpaceX’s Cargo Dragon program or more simply from commercial off-the-shelf (COTS) offerings. Instead, SpaceX’s Starlink development offices in Redmond, Washington and throughout California are staffed with as many as 400 to 500 employees dedicated in large part to the nascent program, similar (if not larger) in scale to OneWeb, the only noteworthy satellite internet competitor at present.
If SpaceX’s decision to push back Starlink’s operational debut by a few years in order to bring in-house almost every single critical subcomponent of Starlink pays off, the company could begin launching finalized satellites en masse as early as late 2019/early 2020, with a goal of offering limited service by 2021 per comments made by CEO Elon Musk. Starlink is likely being brought almost entirely in-house because Musk or other high-level executives and engineers see major room for improvement, improvements that could lower the cost of and improve the performance of lightweight communications satellites by an order of magnitude.
A flight-proven Falcon 9 prepares for launch in May 2018. SpaceX will likely launch at least one more pair of Starlink demo satellites from the West coast later this year (Pauline Acalin)
It will likely take a bit longer than initially expected, but SpaceX may yet still pave their path to Mars colonization with profits derived from a wildly successful and disruptive entrance into the broadband market.
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
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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.
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.
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.
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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.
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
