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Solving the Tesla Semi truck conundrum: here’s what it might take
With the release of Tesla’s updated vision for the future, CEO Elon Musk included plenty of information that was both intriguing and light on details. From that, we will try to make a guess as to what Tesla’s plans are in reference to trucks and shed light on the many obstacles that the company will need to overcome before making its plans a reality.
The light details of Musk’s announcement is par for the course from Tesla and Co, which operates its marketing as much on hype and viral sharing as anything else. This is not a knock against the company, as most other firms would sacrifice virgins every Friday to see the same kind of unsolicited viral marketing that Tesla generates. One thing Elon has mastered is walking the fine line between being informative and forthcoming and being vague enough to cause rampant speculation.
In the company’s “Part Deux” plans for the future, a brief and almost passing mention of semi-trucks was made as a part of Tesla’s developments. Specifically, Must referred to “heavy-duty trucks” and called the idea a “Tesla Semi.” This can imply two things, but probably implies both. It could imply that Tesla plans to make a heavy-duty truck – which could mean a three-quarter ton pickup truck, a Class B heavy truck, or a large Class A freight-hauling truck. Or it can imply that Tesla plans to make a semi-truck only (aka “18 wheeler”). We believe it’s likely that they plan to do all of the above.
Currently, about 70 percent of the freight being moved around the United States is moved on semi-trucks in which a large tractor is attached to a separate trailer. These trucks typically operate at weights up to 80,000 pounds in vehicle, freight, and fuel. They are referred to as “Class A” trucks because the weight class requires an operator’s license of that type. Yet that is only one class of truck. And the typical over-the-road (OTR) truck we usually think of when talking about semi-trucks are just one slice of a large trucking pie.
Nearly 12,000 million tons of freight are hauled by trucks every year in the United States. A significant portion of that hauling is done by smaller trucks rather than large semi-trucks. Package carrying (van) trucks, dump trucks, refuse (garbage) trucks, and other specialized trucks are also common and actually make up a larger portion of the miles driven by heavy-duty trucking. Most of these vehicles have a gross weight of 26,000 pounds or more, by definition, so for our purposes here we will be excluding passenger-style heavy-duty pickups and the like. We are assuming that Musk is referring to freight hauling, given his statements.
With the plan to “cover the major forms of terrestrial transport” that Tesla put forth, we can assume that the company plans to design and potentially build heavy-duty trucks of all stripes. This is realistic given that major truck builders such as Paccar (Kenworth, Peterbilt), Volvo, Mack, etc. already do this. One basic design can be modified to match several needs, thus a single model Mack truck can be both an OTR freight puller and a dump truck with just a few changes to the drivetrain and chassis. Medium-duty trucks, such as package delivery (ala UPS, FedEx) box trucks can also be of a single design with multiple body options. Although the reality is a bit more complicated than this, the gist is that it is possible to design only a couple of vehicles and have them workable in most major truck markets. Knowing this, we will concentrate on the most difficult to achieve, over-the-road heavy-duty semi-trucks.
Knowing that, there are obstacles to overcome. The challenges of a Tesla pickup truck are a beginning, but with a heavy freight hauler, they become exponential. Here are some basic requirements for the biggest of these HD trucks:
- Power output similar to a large diesel engine, equalling roughly 450-550 horsepower and 800-1,200 pound-feet of torque. The amount of output depends heavily on the work to be done. A typical OTR truck, for example, falls in the lower end of this spectrum to maximize fuel efficiency while a typical off-road construction or heavy-load truck (logging and the like) will be at the higher end.
- An operating range of 600 miles per charge for OTR and about half that for more local use (construction, large trailer/freight delivery). Smaller trucks doing package deliveries could operate in the 150-mile range easily.
- The capability to haul as much or more freight than the current diesel-powered offerings do.
That last point is important. Getting a 600-mile range for a truck that can weigh up to 80,000 pounds, freight included, is pretty simple. Getting a 600-mile range for a truck and trailer weighing under 35,000 pounds is not as easy. It’s the old problem of more batteries equals more range, but also equals more weight.
There have been and are current attempts at electrifying semi-trucks, of course. Mostly in the medium-duty package delivery and trailer moving (non-transport) sectors. Solutions involving hydrogen fuel cells, battery-electrics, hydraulic hybrids, and more have been produced. Some did not do well (see Smith Transport) and some are going places (see Parker-Hannifin’s hydraulic hybrids). For the most part, battery-electric over-the-road trucks are seen as a pipe dream by most in the industry. There are good reasons for this. Not the least of which are the battery weight and range expectations of the trucks. Nevermind the likely long charging times required.
Without getting too detailed, most OTR drivers expect to put in 600 or more miles per day in a solo run (one driver) and about 1,000 or so when team driving. Most fuel stops are 15-20 minutes and most trucks have a range of 700-1,000 miles when fitted with dual tanks (one on either side). Having enough lithium-ion batteries on board to do that is daunting. Especially given the high power outputs required to move 80,000 pounds worth of rig and freight.
There are solutions for this, of course. Since Musk devoted so much of his announcement to autonomous driving, we can assume the plan is to include that with trucking. Three possible ideas are:
Relaying. A truck takes a trailer 300-400 miles, swaps it with a trailer going back where it came from, and returns. The trailer swapped continues on with on another truck for another 300-400 miles, then another, and another.. Until its final destination and delivery. This is currently done with certain types of freight and these trucks often have shorter trailers and run them as doubles (one attached to another). Automating this might be a solution. At least for some types of freight.
Battery swapping. The truck drives for a certain range of miles, stops somewhere to have its emptied battery swapped with a full one, and continues. If done in 10-15 minutes and not more than twice a day, this would be realistic under the current trucking paradigm with a driver on board. When automated, the swaps could be as often as you’d like, though each stop means delays in shipment.
Partial electrification. This would be a truck which runs on electricity but has an on-board combustion generator. This is a potential solution, but is not likely to be on Tesla’s agenda.
Another option that should be considered, though it might not be what Tesla fans will want to hear: Musk may be planning on taking a standard semi-truck and automating it. In other words, the Tesla Semi could actually be an automation system, not an actual truck. At least in the beginning. Given the huge amount of technical obstacles, some of which may not be surmountable without combustion, this is a viable guess. At least for OTR trucks.
Any of these ideas or a combination are realistic for a Tesla Semi strategy in regards to OTR trucks. There are no shortage of plans (grandiose and otherwise) for transforming the trucking industry via electrification. Seeing Teslas will at least be interesting.
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Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
