Update: 4/29 6:02 pm est – Added comment from Troy Teslike, starts para. 4
The volume of Tesla inventory vehicles in Europe has spiked to its highest point this year, indicating the potential for another price cut.
Tesla has been finding a lot of success in the European market ever since it introduced its Model Y SUV to the continent, which has quickly become not only Tesla’s top seller in the region but the top-sold vehicle in many of Europe’s largest economies. Despite this success, Tesla saw a slight but noticeable decline in sales in the European market during the year’s first quarter. Now, trouble seems to continue for the American EV brand, which now sees a record number of inventoried vehicles in Europe.
The revelation regarding Tesla’s European inventory spike was posted on Twitter by Troy Teslike, who tracks Tesla sales and production.
Here is a chart that shows Tesla’s inventory in Europe over time (cars listed for sale on Tesla’s website): https://t.co/xbjD6sh8wm Supply is not an issue anymore. Therefore Q2 sales should give us a clear picture of demand
Europe sales:
• 94,819 in Q4 2022
• 93,784 in Q1 2023 pic.twitter.com/BxQm2bJX4P— Troy Teslike (@TroyTeslike) April 28, 2023
The results posted on Twitter show that Tesla has reached well above its record high for the year, primarily with units of Model 3s and Model Ys. However, a surprising number of Model Ss and Model Xs also seem to be accumulating.
In a comment to Teslarati, Troy Teslike laid out a couple of reasons Tesla may be experiencing a buildup of units in Europe. “I think the inventory buildup in Europe suggests a shift from being production-limited to demand-limited,” Teslike begins. “However, this doesn’t mean deliveries will be affected. It just means production exceeds demand.”
Teslike then points out that, thanks to Tesla’s continuing massive production ramp, a buildup of inventoried units has been slowly but surely creeping up on the automaker. “Tesla’s global production was higher than deliveries in the last four quarters. That resulted in an increase in inventory. Most of that inventory build-up happened in Europe.”
Tesla’s inventory at the end of Q1 was equal to 15 days of supply based on page 6 of Tesla’s shareholder letter https://t.co/n3wXWLqrHl Here is how that compares to other quarters.
Production was higher than deliveries in the last 4 quarters. pic.twitter.com/s5zc5s9Kgp
— Troy Teslike (@TroyTeslike) April 28, 2023
Concluding his statement, Teslike points to a specific source, Tesla Giga Shanghai. Thanks to Shanghai’s incredible production output, and Tesla’s uphill battle in China, excess units are ending up in Europe, but, according to Teslike, this may not be a bad thing. With added volume on the continent, the American automaker will be able to address demand quicker than ever, the only question is, will it be able to garner the necessary demand?
This strange inventory anomaly has attracted countless analysts besides Teslike, looking to find the stem of the issue. Does it stem from slowing demand for Tesla vehicles? Is it indicative of a slowing EV segment more generally? Is this issue just a symptom of more significant regional macroeconomic problems? Or, for the optimists, is this sudden spike even something worthy of concern?
It goes without saying that Europe, much like many other Western markets, has seen a good deal of economic turbulence in the first half of the year, including persistent high living costs, high inflation, and even the potential for bank collapse, however considering the success of other EV makers, this factor is unlikely the sole contributor.
Furthermore, with the dramatic uptick in EV sales seen at brands like Porsche, BMW, and Mercedes, it would be hard to believe that Tesla’s offerings suffer from a lack of affordability, especially as they already undercut these competitors by a substantial margin.
It should be noted that competition within the EV market, particularly in Europe, has gotten quite fierce with the entrance of countless new offerings, not only from the aforementioned luxury competitors of Tesla but also from Volkswagen, Renault, Peugeot, and Ford; brands that are all reasonably successful within the European affordable vehicle market outside of EV sales.
Tesla CEO Elon Musk has made it clear that Tesla’s pricing strategy, attempting to continue to lower prices to attract more customers, will continue well into the future. However, considering the current round of price cuts has still resulted in a record spike in inventory, it remains unclear if this will be the fix Tesla is looking for.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
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.”
News
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.