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Nikola stands firm on H2, but admits EVs like Tesla Semi will dominate in short routes
In a recent interview, Nikola Motor CEO Trevor Milton noted that while electric trucks like the Tesla Semi will likely dominate short-haul jobs in the future, hydrogen is still the key for tomorrow’s long-haul routes. Speaking with trucking-themed publication Trucks.com, Milton provided some insights on his vision for Nikola’s trucks, his company’s electric vehicles, and why hydrogen makes sense as a sustainable source for propulsion.
Nikola Motor is still a small company, and it is attempting to breach a market that is populated by giants such as Volvo and Daimler. To make this endeavor a success, Milton noted that he needs to “build the iPhone of trucking,” which involves an ecosystem that does not just involve a vehicle, but its fueling infrastructure as well.
“Apple would not be Apple if the iPhone was just a phone. We don’t just provide you with the truck. It was about building the best back end a phone has ever had. And that’s what we do with Nikola… We provide you with all the fuel for the first million miles. When you sign on for Nikola we put in a hydrogen station with all your fuel covered, without any cost variation, for seven years. No one else will do that,” Milton said.
Nikola is yet to deploy its trucks to the market, and other disruptive companies like Tesla have unveiled trucks of their own. Tesla, for its part, designed the Semi as a fully-electric truck, just like its other vehicles. Amidst the rising competition in the green trucking segment, Nikola has also expressed its interest in offering battery-only versions of its vehicles. Milton explained this strategy in his recent interview, admitting that for some tasks, battery-electric trucks simply make sense.
“Around long-haul, you have more advantage on the hydrogen side because it’s lighter. It’s all about freight weight, or how much it costs to move a freight-ton per mile. There’s advantages to both infrastructures, but we’re mainly focused on the hydrogen side. We just offer battery-electric so we can tell people we’ll shoot you straight. There are areas where hydrogen does not make sense,” he said.
Nevertheless, the Nikola CEO maintained his stance on hydrogen, arguing that batteries still have disadvantages in terms of weight and cost. Milton also mentioned the ethical issues surrounding lithium mining; an issue that has been closely related to the emerging electric car industry, though he did state that batteries are a “really good solution” for short-haul tasks.
“The battery alone in an electric truck is going to cost $200,000. We’re shooting for an internal cost of $150,000 for our entire Nikola truck. Our truck also weighs less than the batteries in an electric truck. Now, electric is going to kick our butt in short-haul because it’s a really good solution, but electric trucks are not one size fits all. Right now, they’re digging up mines with child labor to pull lithium out to make batteries, and I’m tired of it. The only things that you can use and reuse indefinitely are water and hydrogen. It is the only resource that will not go away. That’s why we picked the hydrogen route.
“Our hydrogen trucks also take a big battery, so I can’t point the finger at anyone else. I have the same problem everybody else has, and I’m trying to get rid of it. The electric powertrain is the powertrain of the future. How we store the energy for it has got to change. We’ve got to figure out a way, whether it’s through ultra-capacitors or whatever it may be, where you can store all that energy without disrupting these scarce resources. Then the price will come down low enough that we can finally win,” Milton stated.
Battery technology continues to improve with the continued adoption of electric propulsion. Tesla, for its part, is working on removing cobalt from its batteries altogether, allowing the company to address the humanitarian issues surrounding cobalt mines in areas such as the Republic of Congo. During the recently held annual shareholder meeting, Tesla CEO Elon Musk even hinted at Tesla potentially entering the mining business, as a means to acquire the necessary materials for its products’ batteries.
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.”
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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
