The California Department of Motor Vehicles (DMV) seems to want Tesla to advertise its Autopilot and Full Self-Driving (FSD) features to consumers.
According to a report by the LA Times. the DMV isn’t too happy about Tesla’s use of the terms, Autopilot and FSD. And the state agency is also upset about Tesla’s description of how Navigating on Autopilot from home works.
According to the article, the California DMV thinks the following paragraph found on Tesla’s website was misleading.
“All you will need to do is get in and tell your car where to go. If you don’t say anything, your car will look at your calendar and take you there as the assumed destination. Your Tesla will figure out the optimal route, navigating urban streets, complex intersections, and freeways.”
Is this really misleading, though?
That particular paragraph is part of Tesla’s description of its Autopilot and FSD features. Having seen FSD in action for myself, I’ve seen it actually do this. I’ve ridden with friends who have FSD Beta and they would speak into the microphone and tell the car where to go. And the car would go there.
The only issue is that this technology is still in Beta and the driver needs to be very aware of their surroundings. This means paying attention to the road. And in some cases, I have seen my friends take over safely.
However, I’ve also witnessed FSD stop for cyclists and pedestrians which many human drivers all too often don’t do.
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As someone who doesn’t own a car, I’ve been almost hit quite a few times. If it wasn’t for my paying attention to my surroundings, I’d probably have won a few lawsuits and hospital stays. Perople really don’t pay attention when behind the wheel.
The California DMV’s Solution: Making Tesla advertise or “educate consumers”
They seek to make Tesla add more disclaimers / training for users. Seems like a non-issue. Their main issue seems to be the Full Self-Driving name as Tesla doesn’t actually advertise. https://t.co/hole8WMSx0
— Whole Mars Catalog (@WholeMarsBlog) August 5, 2022
If the DMV gets its way, it could revoke Tesla’s licenses to make and sell EVs in the state. I don’t have to tell you how bad this would be for jobs.
The article noted that these “remedies” would probably be “softer.” A DMV spokesperson told the LA Times that it will ask that Tesla be required to advertise the capabilities of Autopilot and FSD to consumers.
“The DMV will ask that Tesla will be required to advertise to consumers and better educate Tesla drivers about the capabilities of its ‘Autopilot’ and ‘Full Self-Driving’ features, including cautionary warnings regarding the limitations of the features, and for other actions as appropriate given the violations.”
In essence, the DMV is trying to force Tesla to buy advertising for its products and services.
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Bloomberg noted that Tesla has 15 days to respond to the DMV if it wants to dispute or defend itself. It should also be noted that Tesla is one of the state’s largest employers with over 45,000 employees.
California isn’t too fond of Tesla at all, it seems
California already lost Tesla headquarters following the drama from 2020. CA Assemblywoman Lorena S. Gonzales made it very clear that Elon Musk and Tesla, a leading job provider, weren’t welcome in the state.
Although Tesla didn’t close down its factories in California, the company relocated its headquarters to Austin following Elon Musk’s personal decision to move to the Texas capital.
Message received
— Elon Musk (@elonmusk) May 11, 2020
Personally, I don’t blame him for moving out of a state where government officials are openly hostile toward Elon Musk. I’d leave, too. And the move has proven to be very beneficial for both Tesla and Texas.
Following the relocation, Tesla seems to be doing very well and recently opened Giga Texas in April. Tesla has also been working closely with the Texas Public Utility Commission (PUC) and the Electric Reliability Council of Texas (ERCOT).
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Reducing the stress on the Texas grid would help Texans during the intense heat and winters. And it would encourage the largest oil-producing U.S. state to openly embrace renewables. Tesla being in Texas is a great thing for both as well as the South.
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
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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.
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.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
