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Tesla is NOT done in Germany–exact same poll debunks its own “94% won’t buy Tesla” narrative
As of writing, 307,119 readers, or 69.9% of the study’s overall respondents, stated that they would still buy a Tesla.
As it turns out, news of Tesla’s demand death in Germany have been widely exaggerated. This is highlighted by the same poll that was used to frame the narrative that 94% of car buyers will not buy a Tesla in Germany.
So no, Tesla is not done in Germany. Nowhere close.
The Survey and the Reports
A look at the Tesla news cycle over the past few days would show that one of the biggest stories about the electric vehicle maker involved the results of a survey from German publication t-online. As per the reports, a survey of over 100,000 t-online readers has shown that 94% were not willing to buy a Tesla, and only a minuscule 3% were still willing to consider a vehicle from the American EV maker.
t-online’s report on its survey, as well as articles that cited the study, related the alleged drop in Tesla interest in Germany to Elon Musk’s conservative politics. However, the survey itself received polarizing reactions among social media users since its respondents were self-selected. The poll also seemed open to everyone globally, so its results may not have been the most accurate.
These concerns, of course, were largely ignored and dismissed as the complaints of Tesla “cult” members or “stans,” as critics stated on social media. Unfortunately for Elon Musk/Tesla critics, it appears that t-online‘s Tesla poll is not done telling its story just yet.
Ongoing Survey, Drastically Different Results
While t-online published its article about Tesla’s alleged decline in Germany after the study passed 100,000 responses, the survey itself was actually left open. Thus, despite articles stating that Tesla is done in Germany already spreading online, t-online’s survey was still gathering data from respondents. Interestingly enough, the survey started showing a drastically different narrative once it started getting more respondents.
As of writing, a total of 439,111 respondents have participated in t-online’s Tesla survey. As of writing, 307,119 readers, or 69.9% of the study’s overall respondents, stated that they would still buy a Tesla. A total of 128,643 readers, or 29.3% of the study’s respondents, stated that they would “absolutely no way” consider a Tesla. A total of 3,296 t-online readers, or 0.8% of the survey’s current respondents, stated that they “do not know” if they would like to buy a Tesla.
Keeping Things in Perspective
While one could argue that the current findings of the survey are probably astroturfed by Tesla “stans” or “cult” members, the fact remains that the poll itself was flawed to begin with. Its self-selected respondents could have been affected by bias, and the fact that it seemed open to all users across the globe suggests that the study may not have accurately represented Germany’s car buying public at all.
With this in mind, it would be unreasonable to argue that t-online‘s poll was completely accurate up to its first 100,000 respondents but inaccurate when more respondents answered the survey. The reports that emerged from the first 100,000 respondents of the poll concluded that Tesla was finished in Germany. Following the same logic, one could argue that such reports were premature, and based on updated data from the same survey, Tesla still enjoys majority support in Germany.
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
