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Tesla-obsessed German automakers look to solve multi-year tech deficit
Tesla’s electric vehicle technology is head and shoulders above the rest of the industry. Now, German car companies who are chasing after them are trying to figure out how the multi-year lead Tesla maintains over other automotive companies can be reduced. CEOs are becoming more vocal about the Elon Musk-headed company’s dominance in the electric vehicle sector.
Perhaps the most prominent relationship between Tesla and a German car company lies within Volkswagen’s executives. VW chairman Herbert Diess is an outspoken fan of Elon Musk and has admired the work the South African Tesla frontman has done to combat the spread of dangerous greenhouse gases.
Despite the respect that Volkswagen has for Tesla and Musk, the German car company has admitted that they trail by at ten years. However, Volkswagen executives believe they can catch up.
“Tesla is an impressive manufacturer,” Volkswagen’s electromobility board member Thomas Ulbrich said. “It is a motivator for us. Tesla has ten years more experience. But we are very quick in catching up.”
Volkswagen has combated software woes throughout the development of its ID.3 electric car. These delays have inevitably slowed down Volkswagen’s chase after Tesla, but the company continues to transition some of its German production plants toward electric vehicle manufacturing.
Audi is another German car company that has looked at Tesla as the leader in EV development. This company has focused on its e-Tron EV as its transitionary vehicle. Still, its CEO, Markus Duesmann, has stated that improving combustion engine vehicles will be the main focus moving forward. Electrification can come later.
Duesmann does believe the gas-powered engines that Audi manufactures can be improved and become more sustainable. “They have to be great,” he said. But ultimately, reducing emissions and increasing sustainability and eco-friendly transportation starts with ditching fossil fuels in general.
Duesmann also recently admitted that Tesla has a two year lead in critical areas of the industry, and said that the electric automaker is not ahead in terms of lithium-ion battery technology.
Nevertheless, Tesla’s fleet of EVs continues to improve, while Audi’s focus relies on extending the development of gas and diesel-powered machines.
Finally, BMW is ready to battle Tesla with its rendition, an all-electric 5-series sedan. The company plans to have around five million fully-electric vehicles on the road by 2030, which would mean half a million EVs sold per year.
BMW wants to take a chunk out of Tesla’s market, just like the other two automakers. But BMW’s 5-Series is one of its most popular cars. It sold 350,000 units in 2019, according to Barron’s, and the company believes it could be the key to catching up to Tesla within the next few years.
Tesla has a future in Germany that could end up being bad news for the domestic automakers who continue to set up shop in the European country. With Giga Berlin set to begin producing 500,000 vehicles annually starting July 2021, Tesla could dominate the German market for years to come. Especially considering Tesla’s intentions to manufacture a “completely new battery” at the German plant, automakers in the country must remain on notice.
Giga Berlin has been one of Elon Musk’s main points of focus since announcing the company’s plans to open a facility in November. The announcement and subsequent developments of the Berlin facility may have surged the German car giants to begin paying a little more attention to the next phase of the business.
All indications point toward sustainable and eco-friendly cars being the focus of consumers for years to come. Adapting to and developing these cars takes plenty of time, and while German companies are getting started, the saying “better late than never” comes to mind.
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
