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Adoption of Tesla’s electric truck will be driven by regulation
It’s expected that the commercial trucking industry will begin to transform in the same way that the passenger automotive industry has. Fuel efficiency has become a new priority and electrification is now the go-to plan for achieving higher MPGs in heavy trucking. In much the same way that regulations pushed trucking towards lower pollution at the expense of efficiency in the 1970s, today’s trucking paradigm is seeing a push for more efficiency. At what expense?
A new report from Ravi Shanker at Morgan Stanley urges investors to consider electric and self-driving commercial trucking as an opportunity. Shanker says that regulations and economics will drive the industry towards electrification and autonomous technologies. The analyst says that this could happen as early as 2020, which is when new federal fuel economy regulations on heavy-duty vehicles begin to really gather steam. Although efficiency gains will be had with electrification and self-driving, Shanker makes it clear that this will be secondary to the demand created by regulatory pressure.
As usual, we look to California for a glimpse of what could be coming. California’s Sustainable Freight Action Plan calls for 100,000+ zero-emissions trucks to be on the road by 2030 in that state. There is debate as to whether this plan is realistic, but federal standards are also playing a large role. The U.S. Environmental Protection Agency (EPA) and the National Highway Traffic Safety Administration (part of the federal Department of Transportation) have proposed emissions and fuel economy standards for heavy-duty vehicles. The first of these began with the 2014 model year.
For our purposes, the regulations affecting “combination tractors” (aka “tractor-trailer” or “18 wheeler”) models are pertinent. The 2018 standards are relatively loose and most in the industry believe they are achievable, but the EPA and NHTSA have proposed further standards to begin in 2021, with incremental increases thereafter through to 2027. The goals are largely aimed towards lower CO2 emissions with reductions of about four percent (depending on the vehicle type) being the goal. The reduction is not the issue with industry insiders, however, it’s the test cycle to be used, which some argue is less realistic and which disfavors other emissions that also have requirements to be met. This Phase 2 of the federal efficiency standards for heavy trucks is not yet finalized, but will very likely be the driving force behind national changes in trucks.
Equating these changes into standard numbers that the general public would understand is difficult. Heavy-duty trucks can range in fuel efficiency from 20 mpg or better down to 2-3 mpg. For most tractor-trailer combinations, MPG averages of 4-9 mpg are the norm, depending on load, tractor type, and area of operation. Most analysts calculate efficiency using fuel use in tons per mile with a relatively long distance (100-500 miles) being the average. Using this method, for example, in my time driving a tractor pulling a refrigerated trailer across all 48 states, my fuel economy average was about average for that sector of the industry at roughly 60 ton-miles per gallon. Today, these numbers are slightly higher, according to the latest U.S. Transportation Energy book. Using this method of calculation, a 2015 Toyota Prius is about a third as efficient at moving freight as was my truck.
This doesn’t mean there isn’t room for improvement, of course. There are more companies than Tesla working towards deleting the smoke stacks from big trucks.
In Europe, Volvo trucks is working hard towards a zero-emissions (at the tailpipe anyway) trucking solution with several approaches being tested. An overhead tram-like charging system has been deployed for a short stretch of highway in Sweden, aiming to improve plug-in trucks’ range in EV mode. Short-haul battery electrics and two different versions of autonomous (or semi-autonomous) systems are also being tested.
Here in the States, Volvo’s Mack Trucks is working on a handful of electrification options for heavy-duty drivetrains. So is Daimler (Freightliner, Western Star in the U.S.). Startups like Nikola also have eyes on this electric trucking future. Other startups have hoped to get into the mix as well, but the failure rate is high with companies like Smith Electric, Vision Industries, and Boulder Electric having designed and marketed innovative commercial truck options that ultimately never caught on.
Meanwhile, the largest maker of electric heavy vehicles is Chinese maker BYD, who branched out from making gadget batteries into building electric buses, trucks, and more. They are currently filling contracts internationally for buses and trucks in places as disparate at California, Malaysia, and Europe. BYD builds battery-electric, hydrogen fuel cell electric, plug-in hybrid, and hybrid drivetrains and machines for several commercial market sectors.
So we can guarantee that changes to the trucking industry are coming, but no one can say how fast or how much change that will be. Current federal regulations will drive the industry forward until 2018 and it’s likely that new standards will be in place to keep carrying change forward after that. California’s ambitious plans for adopting electric trucks will be largely regulation and incentive driven, but that has down sides as well. Many of the startups we’ve seen who’ve created electrified big rigs or delivery trucks ultimately failed when the incentives began to dry up.
For Tesla, this could mean that the financial case for the Tesla Semi will need to be more economics-based and less dependent on single market, incentives-based plans. This means that Elon and Co should be looking beyond California and it’s 100,000 vehicle plans into a broader market. We’ll discuss the potential economic case for a Tesla Semi in a future editorial.
News
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.
News
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
