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The very real challenge of a Tesla Pickup Truck

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Call it the Tesla Truck, the Tesla Pickup Truck, or the Tesla-150, but CEO Elon Musk has made it clear as revealed in the company’s Master Plan, Part Deux that the electric carmaker plans to make a pickup and heavy-duty truck. In fact, he couldn’t be clearer: he stated in the past that plans call for something to compete with the best-selling light-duty vehicle on American roads: the Ford F-150. This precludes the idea of a small or mid-sized Tesla truck and says that Musk seems to be clearly aiming for a full-sized offering.

Tesla-PickupA full-sized electric truck seems like a lark to most truck owners and enthusiasts. I live in the heart of truck country, Wyoming, where pickup trucks equal passenger cars in numbers on the road and range from half-ton F-150s, 1500s, and Silverados to heavy-duty and diesel-driven duals. Although many enjoy scoffing at the wannabe cowboys who buy a big, shiny pickup and drive it to the office and back every day – never seeing dirt or any load larger than an IKEA furniture set – the core truck buyer and, indeed, the majority of truck owners do not fit that stereotype.

In general, truck owners fall into three categories: weekend warriors, offroaders, and workhorses. The weekend warrior uses a truck to tow toys (boats, RVs, what have you) and occasionally haul household construction goods for home improvement. The offroader buys the TRD, Pro-4X, and similar packages and spends a lot of time getting mud, dirt, and tree branches stuck on the truck (this would be my personal category, for the record). Finally, the workhorses are those who buy a truck to work with, either as a commercial vehicle or as a personal working machine – these include farmers, ranchers, commercial haulers, tradesmen, and so forth.

Traditionally, the largest truck market are the weekend warriors. These are the folks who buy a truck because they want to haul the family and their playthings around. They tow boats, jet skis, haul camping stuff, tote gear to the game, tailgate, and otherwise use their truck mostly as a recreational vehicle that may or may not be their everyday driver. Next to that market, and not as small as some might expect, are the workhorse buyers. These are the people who buy trucks to work with them and rely on them to get any of a number of jobs done. Most importantly to the industry, these are the repeat buyers – the ones who buy, trade-in and buy again (rinse, repeat). Where I live, for example, it’s not unusual for a rancher to buy a new truck every two or three years. Trading in a machine that will have over 100,000 miles on it is not unusual either. That’s 30,000-50,000 miles driven in only one year. For reference, as a commercial over-the-road driver, I put a little over 100,000 miles per year on my rig. Surveys of the truck market nationally show that in the traditional truck strongholds of the West, including Texas on up to the Dakotas and over to the coast, that kind of mileage is not unusual for the working pickup.

So let’s assume that Tesla plans to make a truck that will sell on the traditional pickup truck market in competition with the best-sellers from Ford, GM, and Ram. We can assume they won’t be doing a hard-core off-road package, but will aim for a 4×4 market in order to appeal to most truck buyers. Here’s a bullet list of criteria for a mainstream Tesla Truck offering, based on the most common features of a mainstream full-size pickup truck today:

  • V8-like performance including roughly 400 hp and 380 lb-ft
  • Extended and four-door cab offerings
  • Cargo bed size of 5.5 feet with option for 7 feet
  • Towing capacity of about 10,000 pounds
  • Payload capacity of 1/2 ton to 3,000 pounds
  • 4×4 capability
  • Driving range, under load, of at least 150 miles
  • Conventional styling and appeal

Those criteria make up the most common things truck buyers ask for. The recent revamp of the Toyota Tundra, for example, was mostly about style since the previous-generation Tundra was dated and didn’t look like a “beefy truck,” as one friend put it. This may be laughed at by the Teslarati, but it’s akin to the Model S having been designed to look like the Volkswagen Thing rather than the beautiful Euro-styled sedan it is. So don’t scoff.

2014 Toyota Tundra 1794 - sky2 - AOA 1200px

Now that we have those basic requirements, let’s look at what Elon and Tesla would have to accomplish to make that happen.

For starters, the current powertrain in the Model S or Model X would not be sufficient. If put under load, towing a trailer for example, and with the aerodynamics of a pickup, the current powertrain would be lucky to achieve half the range required. Anyone who doubts this need only consider how much work went into Bob Lutz’ never-selling VIA truck and its plug-in hybrid powertrain, which together only produce marginal range when trailering at capacity. That’s an ICE (internal combustion engine) and electric drivetrain combined. Remember also that every pound of batteries added has a net-reduced benefit to the overall range of the vehicle as it also adds weight. Since Tesla isn’t currently using and hasn’t made a lot of noise about eventually using high-tech, high-density, bleeding-edge lithium batteries to lighten the battery’s weight, we can assume that the current Panasonic cells are what would power a Tesla Truck if it were made in the near future.

To tow a trailer at 7,000+ pounds would require an enormous amount of energy and to do so for a long range like truck owners would expect (e.g. to the lake and back) would be a feat. It’s not insurmountable, of course. There’s little doubt that Tesla’s engineers couldn’t overcome this obstacle, but it will be a huge one.

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Matching V8-like performance would not be difficult – the Model S and Model X already does this and with the inherent strengths of an electric motor, namely torque from zero, the numbers actually required would be smaller than those needed for the gasoline equivalent.

Next comes another problem – off-road. With the problems the Model S has had in the past with undercarriage breaches on the highway, it’s easy to see concern when going fully off the road. Even the best of dirt roads are rough. Putting an under-pan, as Tesla has done may or may not work well with a truck. Skid plates are not unusual for trucks, of course, but they rarely run past the front engine compartment. Most of the safety is addressed by lifting components high up into the framing to minimize exposure. With a big, long, heavy battery pack, though, this is problematic. A skid plate may do the trick, but this would at the very least be a big marketing hassle for Tesla if nothing else.

Another big roadblock is going to be the price tag. In order to compete with the F-150 and its brethren, the Tesla Truck would need to sell at around the $30,000-$40,000 mark at entry-level. Truck buyers would probably be willing to pay a premium of $8,000, even $10,000 on the truck if the expected fuel savings are big and obvious. Yet even that premium markup is going to be a problem for Tesla because, well, unless of course the pickup will be based off the Model 3. This is where the Gigafactory could possibly pay off, but at this point, that is only an idea that is likely to become reality, but until it is, we have no idea how real its cost-savings in terms of dollars per kWh will be.

Finally, for sake of space, we have not even mentioned dealership woes. The top truck markets are well outside of Tesla’s best markets for the Model S and Model X. Some of those markets, such as Texas, are off limits to Tesla’s direct sales entirely. Yet if that’s overcome, there’s also marketing. Not only are pickup truck buyers exceedingly brand loyal (just ask Toyota and Nissan how easy it is to penetrate the full-sized market), but they’re finicky as well.

The conclusion? Tesla could likely, eventually, field a full-sized pickup truck capable of competing with the F-150, but the challenges are huge. Just as Elon likes ’em. Will they do it? Good question, but it’s fair to say that if they do, they may be treading on the thin crust of a deep, deep lake.

Feature image via Topspeed

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Aaron Turpen is a freelance writer based in Wyoming, USA. He writes about a large number of subjects, many of which are in the transportation and automotive arenas. Aaron is a recognized automotive journalist, with a background in commercial trucking and automotive repair. He is a member of the Rocky Mountain Automotive Press (RMAP) and Aaron’s work has appeared on many websites, in print, and on local and national radio broadcasts including NPR’s All Things Considered and on Carfax.com.

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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.

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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

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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.

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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.”

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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.

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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

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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.

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