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Is Tesla chipping away at dealership resistance?
After Arizona, then Texas, and finally New Jersey forbidding Tesla Motors from selling its electric vehicle (EV) Model S directly to consumers, was it one too many that will push the company to bulldoze over discarded business models standing in its way?
Tesla we love you, let us count the ways…
There are many reasons why people love Tesla Motors, and particularly Elon Musk’s business strategy acumen. There are also many reasons why many hate it. It is both disruptive and paves the way to a future that frightens those reluctant to change their old business models. Tesla Motors has strong entrepreneuralship DNA, and what entrepreneurs do best is to ask simple questions: “What do we need” or what is needed now. Unfortunately, established corporations don’t do that because their products, or services, aren’t really that needed anymore and people still flock to them. Entrepreneurs and startups are not encumbered by this. They see the bigger picture, and the bigger picture is you, consumer. So what is it you need, and why is Tesla so darn appealing?
One, two, but three is enough!
Elon Musk knows how to work with a company up until the point where it either doesn’t deliver, or asks for too much. At that point, he uses Tesla to make it better. If the first setbacks in Arizona and Texas were a learning curve, was New Jersey the endurance limit for trail blazing Tesla and its mission? The latest Ohio Automobile Dealers Association compromise to allow the electric-car company to operate three stores in the state seem to show that it is. Get the trend here?
The Ohio deal sheds a little more light as to how Tesla will handle the farcical opposition to something everyone wants, choice in how you buy your car. The Ohio deal was negotiated quickly yesterday, voted by an Ohio Senate panel with little to no opposition. What’s next? Elon Musk and Tesla won’t stand idly waiting for the Dealership association to make up its mind how to play with this very disruptive incumbent. It knows it needs to boost its sagging image. Tesla is showing the way, and the problem is that it cuts into its revenue model. The Ohio turn of event shows that politicians and the dealership association are finally taking Tesla seriously, enough to invite them to the table. And that is only the beginning of the precipitation.
Tesla can have its stores at Easton and Cincinnati, and can open a store in Cleveland. However, it cannot open any additional stores. According to Diarmuid O’Connell, Tesla’s vice president for business development: “This is a very good compromise,”… for now.
Does this mean Tesla is softening its approach and becoming diplomatic, or that the Dealership association sees the painting on the wall? Watch out how the next states decide whether a carmaker can sell its cars directly, or not. Make no mistakes, politicians and carmakers are now taking the Tesla Motors’ business models very seriously, at last. NY Gov. Andrew Cuomo and the state’s car dealers show that by bringing Tesla to the table. No matter what, Tesla Motors and Elon Musk will always be the person and company that forced dealerships to review their business models. This serves as a reminder how any startup, in our case Tesla, can remind what America was once associated with, entrepreneurship that answers a dire need.
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
