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SpaceX installs orbital Starship heat shield prototype with robots
SpaceX has begun large-scale Starship heat shield installation tests with the help of robots delivered last month in a sign that the company has already begun preparing for the rocket’s first orbital flight test campaign.
Designed to eventually replace SpaceX’s workhorse Falcon 9 and Falcon Heavy launch vehicles, Starship is a fully-reusable two-stage rocket powered by methane and oxygen-fueled Raptor engines. Just like Falcon 9, Starship’s first stage (known as Super Heavy) will launch the combined spacecraft and upper stage to an altitude of 70 to 100 km (40-65 mi) and velocity of ~2.5 to 3 kilometers per second (1.5-1.9 mi/s). Super Heavy will separate, boost back towards land, and either land back at the launch pad or on a floating platform.
SpaceX already has extensive experience launching, landing, and reusing orbital-class rocket boosters thanks to Falcon 9 and Heavy, which have completed 57 landings and been reused 39 times in less than five years. The Starship upper stage, however, will have to survive orbital-velocity atmospheric reentries some 3 to 5 times faster and exponentially more energetic than Super Heavy boosters. To do so routinely while keeping Starship cost and complexity low and reusability high, SpaceX will have to develop an unprecedentedly effective heat shield that is easier to install, maintain, and reuse than anything that has come before it.
As with all SpaceX programs, the company began Starship heat shield installation development as soon as possible, installing a handful of tiles (presumably early-stage prototypes) on Starhopper as far back as H1 2019. This continued with small hexagonal tile installation tests on Starships SN1, SN3, SN4, SN5, and SN6 throughout 2020. While those coupon tests obviously didn’t involve orbital-class reentry heating or buffeting, they were still useful to characterize the mechanical behavior of heat shield tiles under the stress of cryogenic propellant loading, Raptor static fires, and hop tests.
In 2019, SpaceX even tested a few ceramic Starship heat shield tiles on an orbital Cargo Dragon mission for NASA. The fact that no more orbital Cargo or Crew Dragon tests were acknowledged seems to suggest that the demonstration was a success, proving that the tiles can stand up to the stresses of reentry from low Earth orbit (LEO).
Behind the scenes, SpaceX is assuredly performing extensive laboratory-style tests with tiles and an agreement signed with NASA Ames Research Center confirmed that the company is using the facility’s arcjet to physically simulate the conditions of orbital-velocity reentry. Tests on the scale of a full Starship, however, are an entirely different story.
The first signs of large-scale heat shield installation testing appeared on July 9th when local resident and photographer Andrew Goetsch (Nomadd) captured photos of a test coupon covering half of an entire steel Starship ring. In April 2020, CEO Elon Musk confirmed on Twitter that the current design involved affixed heat shield tiles directly to Starship’s steel hull with steel studs. It’s unclear how exactly the company is installing steel studs directly onto the ~4mm (0.15 in) thick skins of a pressure vessel or if an off -the-shelf solution was available but Nomadd’s July 9th photos explicitly show the process required to refine the settings on the mystery stud installer.
One month after Nomadd’s spotting, three weeks after a robot delivery, and five days after one of those robots – labeled “HEAT SHIELD – was spotted in action, the first large-scale heat shield installation test article was spotted inside one of SpaceX’s several production tents. The team involved clearly had some fun with the process, installing the tiles in the form of a SpaceX “X”.
In retrospect, robots could be a perfect solution for the affordable, high-volume installation of the thousands of heat shield tiles a single Starship will need. Once tolerances are high enough, it’s conceivable that multiple different Starship sections could be individually outfitted with studs and heat shield tiles by robot, inspected by humans, and joined together to form a complete Starship. Humans would likely need to manually install a gap of tiles around the weld lines of those final sections, but the manual installation work would be reduced to a minimum while keeping the required infrastructure dead simple.
Ultimately, a great deal of work remains before SpaceX can even begin to feasibly attempt orbital Starship test flights, but it’s hard not to get excited by the fact that some of that preparatory work has already visibly begun in South Texas.
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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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
