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SpaceX’s orbital Starship launch debut could still happen this year
Despite the spectacular demise of a full-scale prototype just days ago, a senior SpaceX engineer and executive believes that Starship could still be ready for its first orbital launch attempt before the end of the year.
Even if the first launch attempt fails, that milestone – if realized – would be one of the single biggest upsets in the history of spaceflight, proving that Saturn V-scale orbital-class rockets can likely be built in spartan facilities with common materials for pennies on the dollar. Much like Falcon 1 suffered three launch failures before successfully reaching orbit, there’s a strong chance that Starship’s first shot at orbit will fall short, although each full-up launch failure would likely cost substantially more than the current prototypes being routinely tested to destruction in South Texas.
Most recently, what CEO Elon Musk later described as a “a minor test of a quick disconnect” went wrong in a spectacular fashion, causing a major liquid methane leak that subsequently ignited and created a massive explosion. Although Starship SN4 did technically complete its fifth Raptor engine static fire test just a minute or so prior, the ship and its immediate surroundings were obliterated by the violent explosion, leaving little more than steel shrapnel and the broken husk of a launch mount behind. It’s in this context that one of SpaceX’s most levelheaded, expert executives believes that an orbital launch could still happen this year.
While Starship SN4’s demise and the continued possibility of the ship’s orbital launch debut occurring less than seven months from now may seem at odds with each other, that’s actually just a side effect of the approach SpaceX has always taken when developing brand new rockets and spacecraft. Following the lead of the scrappy teams that used the exact same methods to design, test, and fly the massive Saturn rockets that took humans to the Moon, SpaceX has always preferred to learn by doing.
Inevitably, testing minimum viable products to their limits will lead to failures, but those failures are actually extremely valuable so long as they are extensively analyzed and learned from. That’s exactly what SpaceX has been doing for the last six or so months with full-scale Starship prototypes: building, testing, failing, and improving in an unending cycle. Built slowly with inferior methods, Starship Mk1 almost immediately during its first pressure test in November 2019. SpaceX took that failure, extracted all the insight it could, and dramatically improved its production methods before completing Starship SN1 barely three months later.
Prior to SN1, SpaceX built and tested two stout test tanks to failure, ultimately achieving pressures of ~8.5 bar – sufficient for reliable human spaceflight – with the second tank on January 30th, 2020. On February 28th, Starship SN1 was unfortunately destroyed by a faulty ‘thrust puck’ (Raptor engine mount). Just 10 days later, SpaceX successfully tested a third ad-hoc test tank, proving that it had already rectified the engine section design flaw. Hardware isn’t always the only problem, however, and Starship SN3 was destroyed by human operator error during a cryogenic proof test on April 3rd.
Starship SN4 was completed and moved to the launch pad less than a month later and began testing just a few days after that, quickly racking up milestones as it became the first full-scale prototype to pass cryogenic proof testing, perform a wet dress rehearsal (WDR) with real propellant, fire up a Raptor engine, and complete a more ambitious cryogenic pressure test. Prior to the ground systems fuel leak that killed it, SN4 was possibly just days away from attempting the inaugural flight of a full-scale Starship prototype.
With Starship SN4 now steel confetti, Starship SN5 – effectively complete – will likely take over where its predecessor left off, heading to the launch pad within the next week or so before attempting a cryogenic pressure test and Raptor static fire to clear it for flight. Per Koenigsmann, that flight debut could come just a few weeks from now – likely before the end of June if replacement ground equipment can be quickly completed. If Starship SN5 survives that hop debut, it may ultimately be upgraded with a nosecone, flaps, and two additional Raptor engines to perform a dramatic 20 km (~12 mi) flight, capped with a supersonic skydiver-style reentry and landing test.
Once that capability has been successfully demonstrated, Super Heavy development and orbital Starship operation and reentry are the next critical hurdles. If Koenigsmann is correct, it’s safe to say that the first fully heat-shielded Starships and the beginnings of the first one or several Super Heavy booster prototypes will begin to appear in South Texas within the next few months.
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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
