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Electric trucks from large to small vital to Tesla’s Master Plan
It all goes back to Elon Musk’s original secret Master Plan from 2006, when the billionaire entrepreneur issued his famous vision of the future: “[T]he overarching purpose of Tesla Motors (and the reason I am funding the company) is to help expedite the move from a mine-and-burn hydrocarbon economy towards a solar electric economy, which I believe to be the primary, but not exclusive, sustainable solution.”
Musk made an executive decision right from the beginning to target customers whose opinions influence others by building premium electric cars that would make people sit up and take notice. Until Tesla came along, electric cars were little more than glorified golf carts. But if Tesla is going to make significant progress toward its ultimate goal, it is going to have to make electric trucks as well as passenger cars. Trucks are responsible for about 50% of all emissions created by the transportation sector according to the EPA. It’s no wonder Musk’s follow up plan calls for a zero emissions Tesla targeted at the mid to heavy duty truck segment.
The Tesla Plan
“In addition to consumer vehicles, there are two other types of electric vehicle needed: heavy-duty trucks and high passenger-density urban transport. Both are in the early stages of development at Tesla and should be ready for unveiling next year,” outlines Musk in his Master Plan Part Deux.
Aaron Turpen previously gave us an excellent analysis of what characteristics a Tesla pickup would need to have in order to be successful. He set out in detail what Tesla would need to do to build such a truck.
- 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
How is Tesla going to make batteries with the energy and power needed to move such heavy vehicles? The Powerwall may offer clues. Just one year after it was introduced, Tesla brought its second generation version to market with roughly double the capacity of the original. Tesla doesn’t reveal very much about its ongoing battery research programs, other than to say that improvements of between 5 and 7 percent a year are anticipated as it ramps up production at the Gigafactory.
One assumption is that batteries for trucks will be significantly different from those used on its passenger cars, with more focus on energy and less focus on power. While a Tesla pickup that breaks the 3 second 0-60 barrier would be very cool, that sort of acceleration would have little relevance to how a truck gets used in daily driving.
When it comes to trucks that haul freight, it’s possible that the company has some sort of battery swapping plan in mind at truck stops along major transportation routes. Another approach would be to simply swap tractors at designated service areas much the way Formula E drivers swap cars during a race. Tesla could own the trucks and lease them to freight companies. The idea is as old as the Pony Express.
What About The Competition?
While Tesla is busy planning its truck strategy, other companies are chasing the same low emissions dream. Most of them rely on some form of range extender engine to build a truck that has low emissions but is cost competitive. The most promising of those ventures may be from Workhorse, which claims it will have a full size plug-in hybrid pickup truck with dual motors on the market by 2018. It uses the two cylinder range extender engine from the BMW i3 REx to provide electricity to the battery when needed. A rendering of the truck by Australia’s Motoring shows a truck that is purposeful rather than svelte in its design.
Delivery and cargo vans are another target market. Four large cities — Mexico City, Paris, Madrid, and Athens — announced their intention to ban all diesel powered vehicles from their streets by 2025. Many of the medium duty trucks used to deliver food and consumer goods to city dwellers are powered by diesel engines, especially in Europe.
Deutsche Post, known globally as DHL, is one of the largest parcel delivery companies in the world. It is working hard to reduce its carbon footprint but could not find an all electric van suitable for its needs. So it built its own. “We designed it as a tool. So the fit and finish does not need to be as good as in a passenger car,” Win Neidlinger, director of business development at Deutsche Post tells Fortune. “It did not cost billions to develop and produce. You will not believe how cheap it is to make.” The company now plans to become a manufacturer and start selling the vans, which it calls StreetScooters, to customers in 2017.
Photo credit: Deutsche Post
UPS is also in the delivery business and is a world leader in testing alternative fuels and alternative powertrains in its trucks. It has invested more than $750 million in alternative fuel and advanced technology vehicles since 2009. UPS now has 7,700 low emission vehicles in its “rolling laboratory” test fleet and is evaluating vehicles that run on natural gas, renewable natural gas, and propane according to Electric Cars Report.
It also is using electric powertrains in some of its vehicles. A version of the Workhorse plug-in hybrid range extender system is being tested in several of its delivery vans. It is also thinking small when it comes to what is known in the industry as the “last mile” conundrum. How do companies like UPS create nimble, zero emissions vehicles that can access congested urban areas? One solution being tried in Hamburg, Germany and Portland, Oregon is a hybrid electric tricycle called the eBike. It has a battery and electric motor and can move using pedal power, electric power, or a combination of both.
Photo credit: UPS
Some of the biggest polluters are garbage and trash hauling trucks. Because the stop and start hundreds of times a day, their diesel engines are constant spewing toxic pollutants into the atmosphere. While their total numbers are small, they discharge a disproportionate amount of emissions to the atmosphere. Taming the emissions from beasts would be an important step forward.
Ian Wright, a Tesla co-founder and former board member, thinks he has a solution. His company, Wrightspeed, builds heavy trucks powered solely by electricity but with a twist. Wright and his engineering staff have invented a small natural gas powered turbine that acts as a range extender engine. He claims his turbine operates so cleanly, it does not require a catalytic converter to meet California’s strict tailpipe emissions laws.
Salt Lake City start-up Nikola Motors recently revealed its idea for a 1000 HP low emissions electric truck called the Nikola One. Sleek and futuristic, it relies on battery power to turn its six electric motors but also has an onboard hydrogen fuel cell that is says will give the tractor a range of 800 to 1000 miles. The company says it has over a billion dollars worth of reservations in hand. While it did present a full size prototype at the reveal, many are taking a wait and see attitude toward Nikola Motors, which has no factory at the present time but claims it will begin production in 2018.
Summary
Trucks will play an important role in reducing global emissions from the transportation sector. A recent report from Navigant Research predicts annual sales of electric trucks — including hybrids and plug-in hybrids — will increase by a factor of ten over the next decade. From 31,000 worldwide today, Navigant says more than 332,000 electric trucks will be sold annually by 2026. That’s a big market for manufacturers to target.
Tesla has refused to consider any sort of range extender device for its cars, but solving the problems of building low emissions trucks for delivering freight and cargo across long distances may make such things a necessity. The need is great and the time is short. If hybrid trucks are what are needed, even as a stop gap measure while battery technology catches up with energy and cost constraints, that would be important for a world struggling to limit carbon emissions.
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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
