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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.
Walmart’s WAVE concept truck features an electric powertrain and lightweight carbon fiber trailer
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 Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
