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Auto expert dubs Tesla Cybertruck as Elon Musk’s boldest, greatest creation yet

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The Tesla Cybertruck’s design has been teased by Elon Musk long before it was unveiled, yet the vehicle still dropped jaws when it rolled out on stage during its unveiling event. The Cybertruck has notably polarized the car community, but if a veteran auto expert is any indication, the vehicle may very well be one of Elon Musk’s boldest, greatest creations yet.

In an extensive discussion on his YouTube channel and an accompanying blog post, auto expert Jack Rickard covered several aspects of the Tesla Cybertruck, from its design to the underlying disruption that it would likely trigger in America’s pickup market. Rickard noted that despite its less-than-stellar unveiling, he believes that the Cybertruck may very well be the “most brilliant thing” Elon Musk has ever done, and the “most brilliant design” that Franz von Holfhausen has ever issued.

Rickard argued that with the Cybertruck, Tesla has effectively gone for the pickup market’s jugular by releasing a vehicle that is competitive in cost but exceeding its rivals in terms of toughness and durability, power, spaciousness, and off-road capability. With this particular combination in mind, Rickard noted that he believes the Cybertruck would be “astonishingly successful.”

Tesla Cybertruck futuristic aero wheel makes debut in Los Angeles unveiling event on Nov. 21, 2019 (Photo: Teslarati)
Tesla Cybertruck futuristic aero wheel makes debut in Los Angeles unveiling event on Nov. 21, 2019 (Photo: Teslarati)

Pickup trucks, apart from vehicles that are used for work, are also vehicles that invoke toughness. This is evident in the way each of the Big Three in the US promotes their flagship pickups: the F-150, Silverado, and Ram are tough vehicles that can tow and take punishment, but Rickard notes that over the years, these trucks have reached a point where it has become difficult to take them through punishing conditions. “Since some of the larger more tricked out trucks can run $60-$80k, you don’t want to be squeamish about taking it offroad. But the gentle brush of a few branches and that stunning paint job turns to a scratched up mess,” Rickard wrote. 

This is where the Cybertruck excels in. With its stainless steel exoskeleton, Tesla has pretty much hit the ball out of the park. The Cybertruck is unpainted and domineering, and it can literally take a sledgehammer without missing a beat. Its thin lights are even designed in such a way that it would be very difficult to break them. Much of this has to do with its origami-like XY design, which Rickard notes have been floated around for a long time but never attempted by mainstream manufacturers due to its challenges. “I predict that the shock of that design will be replaced by the genius of it,” the auto expert remarked. 

The Cybertruck also excels in power and towing, two key features that are important for real pickup truck buyers. The tug-of-war demo between the Cybertruck and a screaming Ford F-150 spoke volumes: electric motors are more than capable of besting the internal combustion engine. Apart from this, the Cybertruck also has a cavernous interior, which pickup truck buyers would likely love. Six seats, ample legroom at the rear, and arguably the most massive center console in the market are things that the pickup market would not ignore. 

(Credit: Tesla)

Yet, perhaps the one thing that was largely ignored even in the Cybertruck’s unveiling was its off-road capability, which Rickard states are key to the pickup market. This is because when it comes to pickups, a vehicle must have ample off-road capability, even if it never goes beyond the road in its lifetime. In this regard, Rickard notes that Tesla seems to have knocked the ball out of the park once more. The auto veteran noted that the all-electric pickup reminds him of the Hummer H1, a true rough-and-tough vehicle before its line was toned down with the H2 and H3. 

“This thing’s a Hummer. A Ford F-150, the tricked out 4×4 Supercrew cab, has 9.6” of ground clearance. This has 16” – that’s like a Hummer. I think the Hummer H1 was 16. So it makes a big difference in off-roading And underneath that, I’m told it’s all armored, it’s all covered, you can’t get at the motors, you can’t get at the batteries, it’s a skidplate. So specifically, on the things that define a pickup truck, and I’m surprised Elon Musk even knew what those were, but he’s got it, and that’s this offroad capability, and this kind of tough, durable, manly kind of gig,” Rickard remarked. 

Overall, the Cybertruck may very well remain a polarizing vehicle for years to come, and some may never really grow to like its origami-style XY look. Despite this, Rickard believes that the vehicle hits all the right notes when it comes to price and features that are essential to the pickup buyer. In conclusion, the auto expert noted that some time from now, Tesla Chief Designer Franz von Holfhausen would probably be inducted into the design hall of fame for actually pulling off an XY design. As for CEO Elon Musk, this may be his most brilliant vehicle yet. 

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“He hit all the right notes, on here is a truck you can take a sledgehammer to, and you can beat this truck all you want and it doesn’t even show damage. And it has an off-road capability in case you ever roll it up onto the front lawn of your house,” Rickard noted.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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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.

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.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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.

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