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BMW CEO denies competition from rivals like Tesla: ‘There is no real newcomer’
New BMW CEO Oliver Zipse might be willing to save the company’s only all-electric vehicle, but he appears to be strangely dismissive about the efforts of rival automakers, particularly American electric vehicle maker Tesla and other emerging carmakers from regions such as China.
BMW has a new CEO, and with his appointment, the German carmaker has a chance to recapture lost ground in the emerging electric car market that was taken over by rivals during the days of its previous CEO, Harald Krüger. Unlike his predecessor, new BMW CEO Oliver Zipse appears to be far more progressive with regards to electric cars in general.
In a recent interview with German news outlet Frankfurter Allgemeine Sonntagszeitung, Zipse stated that contrary to speculations and even the statements of BMW AG Board of Management member Pieter Nota, the all-electric BMW i3 will not be killed off. The curiously-designed electric vehicle will live on, and it will continue to be improved in years to come.
“The i3 will continue to be produced, no question about it. The car is already an icon today. Which car can claim this after only six years? Icons tick according to a different logic, they don’t have a classic successor, they always remain true to themselves in essence. Today, the i3 is more in demand than ever and will make another leap in battery and operating concepts,” he said.
Yet, despite these rather encouraging statements, the new CEO appeared notably confident about the company’s chances in the auto segment in the coming years, even stating during an interview with news media outlet Emobly that he sees BMW being “well-positioned” for the future. When asked by the news outlet about competition from upstart companies, Zipse proved quite dismissive. “There is no real newcomer,” he stated.
In an article outlining its interview, the Emobly team noted that the new BMW CEO’s statements were quite surprising, especially considering that companies like Tesla have emerged as leaders in their own right. The American electric car maker, for one, holds an undeniable lead in the premium electric vehicle market, so much so that the gap between the BMW i3 and Tesla Model 3 is very notable. And it’s not just Tesla either, as other companies from China such as BYD and SAIC’s MG brand are capturing the interest of the electric car market with affordable EVs like the electric MG ZS.
Overall, BMW enthusiasts could at least rest assured that the i3 will remain in production. For his part, the CEO believes that the i3 is still among the leaders in its segment, calling it one of the “most innovative” vehicles in the world. “The i3 remains the most innovative mass-production vehicle in the world due to its design. Investments are written off, we earn money with every i3. Why in God’s name should we give up this car that is now at the height of its time? We are sure: The i3 still has great potential!” he said.
Yet, for all of Zipse’s stance on the i3 and his dismissive nature against competitors, it would be wise for BMW to accelerate its electric vehicle initiatives. The BMW i3, after all, is a seven-year-old city car that is, in more ways than one, a product of its time. The EV segment is now in the era of the Tesla Model 3 and the Volkswagen ID.3, and vehicles in this era simply offer so much more tech and range at a far more reasonable cost.
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
