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Tesla Cybertruck first ride impressions: Musk’s futuristic pickup is everything I thought it wasn’t
Tesla’s new Cybertruck is as much of an all-electric pickup truck for the adventurous early adopter and high-tech consumer, as it is an aristocratic armored battle machine for a dystopian future. At least that was my first impression after taking the first test ride in Elon Musk’s seven-year-in-the-making baby on Thursday night in Los Angeles.
Riding through the backlot of Tesla’s Design Studio and SpaceX headquarters, it didn’t immediately register in my head that this spirited test ride was taking place inside a bulletproof truck that’s the size of a Ford F-150 SuperCab. Spanning 231.7 inches long, 79.9 inches wide, and 75.0 inches tall, Tesla’s Cybertruck isn’t exactly small and certainly won’t be someone’s second Tesla sharing the average home garage. This thing is going on the driveway.
The auto-presenting door handles are reminiscent of the Tesla Model S and run flush against Cybertruck’s DeLorean-style stainless steel body. Not any regular stainless steel. Musk’s brainchild is fortified by ultra-hard 30X Cold-Rolled stainless-steel that Tesla calls the Exoskeleton.
As we climbed into the cyberpunk “Blade Runner” inspired truck, a satisfying thud from closing the door jarred my memory that Tesla’s Chief Designer Franz von Holzhausen just slammed a sledgehammer against them. This thing’s a beast.
And we’re about to take off.
The ever-so familiar feeling of instant acceleration from an all-electric powertrain would follow. We blasted down Jack Northrop road in Tesla’s dual-motor prototype, reaching 60 mph from a gradual 20 mph roll in roughly 4 seconds. Tesla claims a 0-60 mph time of 4.5 seconds for the dual-motor variant, while a tri-motor configuration will be able to eclipse it in 2.9 seconds.
The sounds of Cybertruck’s big, knobby tires clawing at the road are a reminder that no noises go unnoticed in an electric vehicle.
Tesla’s DNA for interior design that’s characterized by extreme minimalism, combined with high-tech features, carried through to its electric Cybertruck. A single 17-inch center-mounted touchscreen acts as the main command center for this heavyweight. Tesla didn’t release details on Cybertruck’s weight, however judging by the similarity in size to a Ford pickup, and taking into account a battery pack that can support up to 500 miles of range, one can presume that Tesla’s “Supertruck” will top the scales at nearly three tons. The rearview “mirror” is actually a digital display that projects video captured from a rear-facing camera. This allows for greater visibility, especially when cargo’s on board such as a Tesla All-terrain Vehicle. Because the truck’s vault can also be covered and used for closed storage, having a camera that streams video to the rearview mirror is of utmost importance.
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- Tesla Cybertruck 6.5 ft pickup bed “Vault” (Photo: Teslarati)
The dashboard and center console were very reminiscent of the Tesla Model 3. The interior was comprised of an airy glass roof, seating for five adults with the option to have a sixth seat in place of the front center armrest, and not much else.
Looking out through the narrow rear window and Cybertruck’s stainless steel finish comes into focus once again. What is traditionally referred to as the pickup bed, Tesla is calling this 6.5 feet long space a vault. A sleek set of lights runs alongside the vault and illuminates any content that’s inside.
With a starting price of $39,900 for the single motor Cybertruck and just under $50,000 for the dual-motor all-wheel drive variant, Tesla’s pickup truck is priced competitively in the top-selling automotive category in the US.
Will Cybertruck appeal to the existing Ford and Dodge pickup truck demographic as we know it? Probably not. But that’s okay. Its polarizing look that elicits feelings of both I love you and I hate you, takes some time to process before becoming a buyer.
Similar to Musk’s mission to showcase an alternative to the traditional minivan with something utterly over-engineered like the Model X, Tesla aims to do what the Falcon-winged SUV did for the soccer Mom, as it looks to do with the DIY-savvy early adopter who also happens to be a bit handy. Make no mistake, Musk’s Blade Runner truck won’t be replacing the Ford F-150 anytime soon.
Also, make no mistake, Tesla Cybertruck is as badass as they come and won’t have much competition when it becomes the official truck of Mars.
I love you. I hate you. I love you again.
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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
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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
