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Can electric trucks breakthrough gas and diesel pickup loyalty?
Electric trucks haven’t yet made their way to the market, but plenty of them are announced. The big question is: Will EV trucks ever see the success that sedans and crossovers have? Can they be more popular than the gas and diesel trucks that are widely utilized across the world?
Pickup trucks are popular outside of the United States. In Canada, China, and even Australia, pickups are used by everyone from construction use to daily drivers. Their versatility as a luxury vehicle or a way to move large objects from one location to another makes them one of the more feasible types of vehicles available to consumers. For years, trucks have been listed as powerful, sturdy, and capable machines that have loyal consumer bases because of their adequacy for a wide range of activities.
But with the ongoing transition away from gas powertrains and toward electrification, trucks are simply next on the list to receive battery-powered operation. With several manufacturers releasing designs, pricing, and other variables for electric trucks, the question remains of whether or not the EV truck segment as a whole will be able to make a dent in the popularity of petrol-powered trucks in the future.
There seem to be several boundaries that EV trucks need to cross into to gain the trust and secure a sale to a driver who is interested in a truck but has their mind set on gas or diesel powertrains. I believe that one is going to be proving effectiveness in “work” settings like towing, off-roading, and hauling. The other is breaking through the brand loyalty that many truck buyers have with a certain manufacturer. Interestingly, it is tough to determine which will be harder for an EV truck maker to break, but it will likely be switching an owner away from their usual manufacturer.
Truck owners seem to hold a loyalty to their favorite manufacturer that is unmatched by owners of other segments. All too often, especially in my neck of the woods, I see and hear truck owners talking about why their manufacturer is the best, why others cannot seem to compare, and why they’ll never buy another brand of truck. Sometimes, you’ll even see the infamous bumper sticker of a kid peeing on a rival truck maker’s logo.
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But breaking a consumer away from a brand that they have put many years, and many dollars, into owning a certain vehicle is arguably one of the most difficult parts of selling cars. Past the production issues, which have plagued many car companies, Tesla included, for years, growing a brand is difficult. To have a consumer willingly switch brands is a tough task, and it usually relies on that company providing a massive shortcoming to that consumer in particular.
For example, bad customer service, poor quality, or even a political stance can cause a consumer to switch sides and consider other options. But these things are rare occurrences, so to really convince someone to try a different brand without any negative experiences really requires a product that makes someone go, “Wow, I need that.”
Credit: @KimPaquette | Twitter
Electric trucks certainly have the pizzazz and the appeal to make this happen. I would argue that the Cybertruck is probably the truck that will most likely drive more people to switch from gas or diesel-powered machines to electric ones. Simply because the design is so unique, many people may just be looking for something new that looks “tough” and “durable.” The Cybertruck certainly fits that bill.
However, the Rivian R1T has it’s own advantages too. Because of the fact that it has more of a “traditional” truck look, which is exactly what Tesla and Elon Musk were looking to avoid, it may be more fitting for many recurring truck buyers. It has the durability; it has the look, it has the options. It also is around the same price as many other trucks on the market, so the “too expensive” argument goes out of the window for those that still use it.
The next real test is proving durability and effectiveness. We have seen the Cybertruck pull the F-150 in a tug of war, but people still may be looking to see the vehicle perform normal everyday work. Same with the R1T.
The typical truck buyer is likely hauling things as small as 2x4s or as large as a boat. Before religious pickup buyers truly accept EV trucks, the manufacturers will have to prove that their products are capable of hauling normal, everyday things and large and difficult items. Performance and overall use capabilities will be proven before any truck buyers consider an electric option.
Please e-mail or tweet your thoughts about this subject. I am certainly interested in hearing what you all have to say about trucks and how EV makers can start making a dent in gas-powered pickup sales once deliveries begin. I think it will take more than a new, fresh, and fun way to drive a car to swing consumers to the “other side,” unlike it was with the sedan segment. Sedans are sedans, and they’re all pretty similar. I don’t believe there is as much brand loyalty on that side of things, but I could be wrong.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
