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SpaceX’s next Starship launch still waiting on a successful Raptor test
Several days after the last test attempt, SpaceX’s next Starship launch remains delayed pending a successful static fire of the prototype’s three Raptor engines.
Delivered from SpaceX’s Boca Chica, Texas rocket factory to nearby launch and test facilities on December 22nd, less than two weeks after Starship serial number 8’s (SN8) high-altitude launch debut, successor Starship SN9 completed its first crucial test on December 29th. Known as a cryogenic proof test, SN9 was loaded either partially or fully with a large volume of liquid nitrogen to simulate the thermal stresses caused by liquid methane and oxygen propellant and ensure that pad systems and the rocket’s plethora of valves, pipes, and avionics were working as expected.
Cryoproof more or less completed on schedule, SN9’s follow-up static fire test continued in a similarly smooth fashion, with the first attempt once again falling within a planned three-day window – albeit on January 6th, the last of those three days. Near the end of the 8 am to 5 pm window, Starship SN9 ignited all three preinstalled Raptor engines but NASASpaceflight.com ultimately revealed that the test had been shorter than SpaceX expected.
Relative to all previous Starship testing, even ignoring the facts that a handling error damaged SN9 just one month ago and that the rocket is only the second prototype to have a full nose section installed and plumbed, SN9’s test campaign has been smooth. Despite the unique hurdles SN9 faced, the Starship completed a cryoproof and a static fire on its first respective day of attempts. Minor slips along the way – including recent static fire re-do delays – simply serve as a reminder that the Starship program and its prototypes have yet to reach operational maturity.
Why SN9’s first static fire ended prematurely is unclear and could have been caused by just about anything. The fact that all three Raptors shut down early points a finger to something other than the engines themselves and the clean abort SN9 seemingly commanded points to a relatively minor issue as far as rocket prototypes go.
Two days later, SpaceX tried again but had even less luck, seemingly never making it more than 10-20 minutes into a usual 40-60 minute static fire test flow in several consecutive attempts. Due to an apparent agreement with Cameron County to avoid road closures on the weekend, Starship SN9’s next shot at a second static fire was delayed three days to Monday, January 11th. Possibly due to high winds and generally unfavorable weather, Monday’s static fire attempt was called off before the window opened.
Later that day, SpaceX delivered notices confirming that the next SN9 static fire attempt was now scheduled no earlier than (NET) 8 am to 5 pm CST (UTC-6) on Tuesday, January 12th. Whether SN9 actually pulls off a full-duration static fire, weather forecasts remain unfavorable for a low-velocity, high-altitude launch. Cancelled FAA Temporary Flight Restrictions (TFRs) more or less confirmed SpaceX’s agreement with those forecasts, leaving Starship SN9’s 12.5 km (~7.8 mi) launch debut scheduled no earlier than Friday, January 15th or Saturday, January 16th.
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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
