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Elon Musk discusses Tesla FSD rollout challenges for Europe and China
It is no secret that Tesla’s future relies largely on the company’s ability to achieve true autonomous driving through its Full Self-Driving (FSD) program.
However, while FSD is making huge headways in North America, the program has yet to be rolled out in key markets such as Europe and China.
FSD milestones:
- Tesla has been initiating a continued push to roll out improvements to FSD, with recent v13 releases getting positive reviews from users.
- As hinted at by Tesla’s Q4 2024 Update Letter, FSD users have likely passed 3 billion cumulative miles since the program was launched in October 2020.
- Prior to the Q4 2024 earnings call, Tesla posted a video demonstrating Unsupervised FSD in action at the Fremont Factory.
- Elon Musk also reiterated during the recent earnings call that customers who bought FSD with their HW3 vehicles will get an AI4 hardware upgrade for free.
Europe challenges:
- While FSD is already training very well in North America, Elon Musk noted during the Q4 2024 earnings call that there are challenges to rolling out the system in Europe.
- In Europe, Musk noted that tons of regulations and bureaucracy make it difficult to roll out FSD in the region.
- “Europe is a layer cake of regulations of bureaucracy, that really needs to be addressed. This is like America innovates, Europe regulates. So, guys, there’s too many reps in the field. For example, for us, just to release supervised full self-driving in Europe, even though it works really well, we have to go through a mountain of paperwork with the Netherlands, which is our primary regulatory authority.
- “Then the Netherlands presents this to the EU in, I think, May. And there’s like this big EU country committee. We expect it to be approved at that time. There’s nothing we can do to make that happen sooner.
- “In fact, nobody seems to do — but I guess all the countries would have to somehow vote in some way to have it happen sooner than May. Otherwise, it wouldn’t happen sooner than May. So, when is unsupervised FSD a lot in Europe? I’m like May next year, maybe? I don’t know. Sometimes it’s a 12-month cadence, sometimes it’s six-month cadence,” Musk said.
China challenges:
- It’s not just Europe that is proving challenging. As per Musk, even China has some challenges when it comes to the rollout of FSD.
- “Then China, which is a gigantic market, we do have some challenges because they weren’t — they currently don’t allow us to transfer training video outside of China. And then the US government won’t let us do training in China. So, we’re in a bit of a bind there. It’s like a quandary.
- “So, we’re resolving that by literally looking at videos of streets in China that are available on the internet to understand and then feeding that into our video training so that publicly available video of street signs and traffic rules in China can be used for training and then also putting it in a very accurate simulator. And so, it will train using sim for bus lanes in China. Like bus lanes in China are one of our biggest challenges in making FSD work in China. Their bus lanes are very complicated. And there’s like literally like hours of the day that you’re allowed to be there and not be there.
- “And then if you accidently go in at bus lane at the wrong time, you get an automatic ticket instantly. And so, it was kind of a big deal, bus lanes in China. So, we put that into our simulator train on that, the car has to know what time of day it is, read the sign. Anyway, we’ll get this solved,” Musk said.
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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
