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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:

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  • 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.

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.

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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.

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Feature image via Topspeed

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

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.

CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.

Musk said:

“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”

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Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”

He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”

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Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.

The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.

Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”

Tesla alleged “driverless” crash in Texas: What is known so far

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“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.

This appears to be a similar situation. However, an investigation will prove what happened for sure.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.

The company announced an offering of senior unsecured notes expected to raise at least $20 billion.

The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.

According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.

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The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.

SpaceX officially acquires xAI, merging rockets with AI expertise

In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.

The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.

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SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.

Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.

Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.

CNBC first reported the deal.

This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.

SpaceX has previously signed significant compute deals with other major players.

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It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.

Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.

SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.

SpaceX makes first acquisition post-IPO

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These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.

Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.

The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.

For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.

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