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SpaceX CEO Elon Musk arrives in Texas for milestone Starship engine test
On Saturday evening, SpaceX CEO Elon Musk landed in Waco, Texas – perhaps along with additional SpaceX propulsion engineers – for the critical static fire debut of the first “radically redesigned” Raptor engine, built to power BFR’s Starship upper stage and Super Heavy booster.
If the first operationalized Raptor’s static fire tests go well, there are several possible routes the test program could take, all of which will end up with this engine and several others being tested and ultimately installed on the Starship hopper (Starhopper) prototype under construction roughly 500 miles (800 km) south of SpaceX’s Raptor test cell.
At @SpaceX Texas with engineering team getting ready to fire new Raptor rocket engine pic.twitter.com/ACFM8AtY8w
— Elon Musk (@elonmusk) February 3, 2019
Shortly after Musk revealed official photos of the first operationalized Raptor preparing for an inaugural static fire test at SpaceX’s McGregor, Texas facilities, the SpaceX and Tesla CEO’s private jet was seen landing at Waco, Texas around sunset. Although all SpaceX technical expertise needed for Raptor’s first ignition was probably already on site several days prior, Musk has been known to offer seats on his private planes to SpaceX and Tesla employees when a critical group is needed away from their normal base of operations. The best examples come from Tesla engineering expertise sometimes traveling between Fremont and Gigafactory 1 when needed, often to solve production holdups.
Regardless of whether he was traveling with members of the SpaceX propulsion team, Musk’s arrival at McGregor yesterday signified that Raptor Block 1’s first integrated hot-fire was imminent. Assuming no attempt was made on Saturday night or Sunday morning, SpaceX technicians and engineers are presumably still working on installing what is effectively a new rocket engine and ensuring that Raptor’s test cells – extensively overhauled and upgraded for the occasion – are working as intended. While the development Raptors SpaceX built hovered around 1000 kN (~100t) of thrust, also roughly the same as Merlin 1D, the Raptor now on stand in Texas is reportedly a 200 ton-class engine or more than double the thrust of any single engine SpaceX engineers and technicians have built or test-fired in 15 years of engine development.
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- The only official render of Raptor, published by SpaceX in September 2016. The Raptor departing Hawthorne in Jan ’19 looked reasonably similar. (SpaceX)
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- Technically speaking, this Raptor is the smaller (sea-level) version of the engine. (SpaceX)
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- SpaceX’s current Texas facilities feature a test stand for Raptor, the engine intended to power BFR and BFS to Mars. (SpaceX)
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- A Raptor prototype is seen here during its first-ever ignition test. (SpaceX)
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- A 2017 test-firing of the mature development Raptor, roughly 50% less powerful than the full-scale system. (SpaceX)
A fork in the R&D road
Prior to completing Raptor Block 1 (unofficial designation), SpaceX cumulatively test-fired dev Raptors for far more than 1200 seconds over the course of more than 24 months. It’s unclear how extensively the company’s engineers will be able to test the pathfinder hardware built on the back of that extensive test program. Nominally, one would expect hundreds or thousands of seconds of additional testing to properly characterize the design and production of a brand-new, optimized engine like Raptor while primarily ensuring that it performs within engineering specifications.
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Knowing CEO Elon Musk’s self-admitted tendency to push for impractical deadlines and schedules that often appeared rushed for the sake of rushing, it’s not impossible that the first Raptors could find themselves installed on the Boca Chica-based Starhopper test article after Merlin-esque acceptance testing and nothing more. For M1D and MVac, acceptance testing usually takes the shape of a full-duration burn with throttle and gimbal activity to closely simulate a true Falcon 9 or Heavy launch. For the 200-ton Raptor now in Texas, comparable acceptance testing could take a variety of forms, ranging from short Starhopper-relevant burns (10-60 seconds for small hops) to simulating conditions during a Super Heavy launch and landing or even a 6 or 7-minute orbital insertion burn indicative of the performance needed for Starship.
Depending on the interplay between the route SpaceX engineers would likely prefer and the Starhopper test schedule executives and managers might want, this first Raptor engine (and two more soon to follow) could be installed on Starhopper anywhere from a few weeks to several months from now. Elon Musk indicated in early January that he expected hop tests would occur 4-8 weeks later, shortly followed by unplanned damage to the craft’s nose cone that pushed the debut back “a few weeks”.
Aiming for 4 weeks, which probably means 8 weeks, due to unforeseen issues
— Elon Musk (@elonmusk) January 5, 2019
I just heard. 50 mph winds broke the mooring blocks late last night & fairing was blown over. Will take a few weeks to repair.
— Elon Musk (@elonmusk) January 23, 2019
Realistically, hop tests should thus be expected to begin no earlier than (NET) 8-12 weeks from the first week of January, translating to NET March or April. This would give SpaceX propulsion engineers a decent amount of time to gain at least a few hundred (or maybe 1000+) seconds of experience operating the newest and most advanced iteration of Raptor.
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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.”
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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.
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.
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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
