News
Tesla confirms multiple registered Cybertrucks in Europe
Another Tesla Cybertruck has been registered in Europe, as was confirmed over the weekend by one of the company’s engineers for the unique electric vehicle (EV).
On Sunday, Tesla’s Lead Cybertruck Engineer Wes Morrill reposted an image on X of a Cybertruck driving in the Netherlands with a European license plate. The photo, which was originally posted by X user Dénis van Vliet on Saturday, shows the Cybertruck driving on a freeway in Eindhoven, though he also notes that the EV has an Albanian license plate.
“First Cybertruck registered in EU, driving in Netherlands? Someone was bound to figure it out eventually,” Morrill wrote.
Credit: Dénis van Vliet | X
READ MORE ON THE TESLA CYBERTRUCK: Tesla Cybertruck spotted at BYD facility in China
When implicitly asked by another user how European buyers could somehow get Cybertrucks registered, Morill responded by saying, “Make friends.”
Morrill also shared an update later in the afternoon, saying that he had missed the previously registered Cybertrucks, effectively confirming that those had also been fully registered.
Upon further inspection, van Vliet confirmed that the Cybertruck is owned by rapper Kosso, who recently talked about purchasing the car is Oisterwijk, though he was considering getting plates from either the Czech Republic or Albania. On Sunday, the vehicle was seen again in Lanaken, Belgium in a story from Nieuwsblad that confirmed that it is Kosso’s Cybertruck.
Tesla Cybertrucks that were previously reported to be registered in the EU
The news follows a few other reports this year that some Cybertrucks had been registered in the European Union (EU). Most recently, a France-based Tesla Advisor reported that the first Cybertruck had been registered in the Czech Republic, though he did not disclose to Teslarati how exactly the vehicle had managed to gain registration.
During Tesla’s Annual Shareholder Meeting in June, Elon Musk said that the company may be able to certify the Cybertruck for markets outside of North America in 2025, though it would be “for sure just North America” this year. He has also hinted at the potential for a version of the Cybertruck developed specifically for European and Chinese markets, while many have expressed doubts around the EV’s ability to meet certain pedestrian safety regulations in the past.
In an interview with Top Gear last December, for example, Tesla Vice President of Vehicle Engineering Lars Moravy cast some doubt on the Cybertruck’s ability to be eligible for registration in Europe, largely due to its protruding edges.
“One, the truck market in the U.S. is huge and two, European regulations call for a 3.2mm external radius on external projections,” Moravy said. “Unfortunately, it’s impossible to make a 3.2mm radius on a 1.4mm sheet of stainless steel.”
Despite this, Tesla has also made its ambitions to bring the Cybertruck to other countries clear through worldwide display tours of the vehicle, showing it off in several Asian and European countries throughout much of the year. The company first announced plans to bring the Cybertruck to the United Kingdom and parts of Europe in April, after previously displaying the vehicle in China, Japan, and other parts of Asia.
Tesla also brought the Cybertruck to its Gigafactory Berlin in March as a display, though these and others in its world tour didn’t seem to be registered units. Cybertrucks being registered in Europe have been rumored since around this time this year, though they likely have been imported by the buyers after being purchased in North America.
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Tesla Cybertrucks get faster charging ahead of V4 cabinet rollout
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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
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.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
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.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
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.
