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Tesla Semi production rumors swirl as frequent sightings up the ante on expectations
Rumors surrounding the Tesla Semi are plentiful in this day and age, especially as sightings of the company’s commercial vehicle are becoming more frequent. Expectations for the new Semi are high already, and Tesla aims to deliver the truck in a timely fashion after several delays.
The new Semi has been spotted numerous times over the past week, hinting toward ongoing testing before Tesla starts volume production of the massive, all-electric commercial vehicle. Less than two weeks after Tesla’s Q4 2020 Earnings Call, where CEO Elon Musk and others detailed the ongoing offensive to develop the vehicle, the Semi is being spotted by people on public roads. Although Musk stated battery constraint is the hold-up in the Semi’s production, it isn’t stopping the company from testing several new truck builds.
Speculation regarding when Tesla will finally begin volume production is growing, and more rumors surrounding the initial deliveries to pre-orderers appear on what seems like a daily basis. However, the big bottleneck is batteries, and Tesla plans to combat this issue with wide-scale cell production and purchasing. The real question is, how many cells will be “enough?”
EXCLUSIVE: For a few weeks I’ve been in contact with a source from a U.S Tesla supplier. They supply certain parts for the S,X,3 and Y, but I’m here to reveal some info on Tesla Semi. As always, take these kinds of things with a grain of salt. Things/timelines can change.
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— Sawyer Merritt ?? (@SawyerMerritt) February 4, 2021
Elon Musk’s Earnings Call Comments
Musk, who stated last year that it was time for Tesla to enter volume production of the Semi, had a different tune during the Q4 2020 Earnings Call on January 27th. Battery cell constraint is a major bottleneck in starting the Semi production, as fulfilling the number of orders it has would likely inhibit Tesla from being able to produce its mass-market passenger vehicles, like the Model 3 and Model Y.
Tesla has recently started producing its own battery cells at a plant that sits adjacent to its main production facility in Fremont, California. Known as the “Kato Road Facility,” Tesla is building its new 4680 cells there, a battery that Tesla claims will cut the cost of its vehicles massively, putting it on a crash course to reach price parity with gas-powered vehicles. The Semi will require significantly more cells than any other Tesla vehicle to date, a problem that the company is aiming to solve by producing its own cells and buying additional ones from third-party suppliers like Panasonic.
Tesla’s 4680 Kato Rd. facility has a top 10 capacity, and it’s not even close to finished
During the Earnings Call, Musk said:
“Prototypes are easy. Scaling production is very hard. So a big part of the reason — the main reason we have not accelerated new products is — like, for example, Tesla Semi is that we simply don’t happen our cells group. We — this — if we were to make the Semi like right now, which we could easily go into production with the Semi, but we would not have enough to cells built for it right now. We will have cells group in ourselves for Semi when we are producing the 4680 volume. But for example, Semi would use typically five times the number of cells that a car would use, but it would not sell for five times what a car would sell for. So it kind of doesn’t make — it would not make sense for us to do the Semi right now, but it will absolutely make sense for us to do it as soon as we can address the cell production constraint. The same would go for that.”
Effectively, Musk explained that it makes more fiscal sense to focus on the mass-market consumer products for right now. When the Kato Rd. Facility begins a massive production of the 4680 cells, Tesla can begin the Semi production efforts, but that doesn’t mean prototypes aren’t on the road now.
New Sightings
Following a sighting by The Kilowatts last week, two new sightings of the Semi have surfaced of the all-white Tesla commercial vehicle.
New Tesla Semi with updated windows, door handles, and tail lights spotted in Sacramento
One video from Cory Draper on YouTube shows a four-and-a-half-minute-long walk around of the Semi, getting a close-up look at the vehicle. One of the most striking features is the size of the power cell, as Draper estimates it is between four and five feet in length. A massive truck requires a massive power source, and the Semi’s sizeable battery storage compartment will drive the truck’s 300 or 500-mile range. Another video from Ivaylo Tzintzarsky shows the power cell from the opposite side.
- YouTube: Cory Draper
- YouTube: Ivaylo Tzintzarsky
There are also numerous sensors that can be seen on the Semi, especially in Draper’s video. The top of the windshield is outfitted with at least five sensors that will help with the autonomous driving functionality of the Tesla Semi. Autonomy could help with the evolution of the trucking industry, as many drivers are currently restricted to 11 hours of travel per day, according to the Federal Motor Carrier Safety Administration (FMCSA).
Fuel savings alone could pay for a Tesla Semi, as the company estimates it will save at least $200,000. Combined with superior aerodynamic performance and, a quad-motor powertrain, and a low center of gravity to prevent rollovers, the Tesla Semi has the potential to revolutionize the trucking industry forever. The question is: When will it begin production, and how long until Tesla can produce the 4680 cells in mass quantities to solve the constraint issue?
Watch the two newest sightings of the Semi below. Let us know what you think in the comments!
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.


