Mercedes-Benz has seen the sale of its electric vehicles (EVs) increase significantly in the U.S. this year. However, a new report shows that dealers have had difficulty keeping up with inventory levels for the automaker’s EQ lineup, with sales times for the EVs exceeding the luxury segment average.
In the third quarter, Mercedes sold 10,423 EVs in the U.S., marking a 284-percent increase year over year. Despite the gradual increase in EV sales, the German automaker’s EVs are sitting on dealership lots and are not being sold off as quickly as other vehicles.
According to a report from Automotive News citing Edmunds data, Mercedes-Benz battery-electric EQ models took an average of 82 days to sell at dealerships in September. Comparatively, vehicles across the overall luxury segment averaged 57 days, while BMW vehicles took around 38 days to sell.
In various anonymous interviews with Automotive News, Mercedes dealers pointed to the brand’s lack of effort in responding to growing EV competition with sales programs and to the products themselves as the reasons for heightened inventory levels. One person who runs a Mercedes store said he currently has over six months’ worth of EVs and only a 50-day supply of the company’s gas cars.
“The EVs are coming whether or not you asked for them or earned them,” the retail store operator said. “There is too much of a price premium — especially at the top end of the EQ lineup — and almost no [lease] support.”
He added that the EQ models didn’t have the same “lust factor” as some of the automaker’s classic gas cars, including the S-Class sedan and the AMG-GT coupe.
“Our cars need to be ‘want’ cars,” he said. “The S-Class has maintained good loyalty because it’s aspirational. An EQS is not something that most people aspire to own.”
Credit: Automotive News
A Mercedes spokesperson declined to comment on internal discussions with its retailers.
CEO of Mercedes-Benz U.S., Dimitris Psillakis, blamed slow sales on a lack of product variety and on the EV segment being so new. Additionally, he pointed to issues in the supply chain as preventing variety at dealerships and keeping some more affordable models, such as the EQB compact EV, off of their lots.
“We are with a new lineup in a new world,” Psillakis said. “There is no past, there is no experience. We still face challenges around our product lines and have some restrictions coming from suppliers. We don’t always get the volume we want when we want it.”
Psillakis also said that Mercedes didn’t have any supply of the affordable EQB at the beginning of the year. Although this has changed, he says that it still takes time for the EV to reach dealers.
The Mercedes-Benz EV lineup and pricing structure is as follows, according to the automaker’s website:
- EQB (SUV); starts at $52,750
- EQE (sedan); starts at $74,900
- EQE (SUV); starts at $77,900
- EQS (sedan); starts at $104,400
- EQS (SUV); starts at $104,400
Other automakers have also faced difficulty in moving EVs alongside inflation and rising interest rates, and especially in the luxury segment.
The average EV overall sold in 36 days near the beginning of this year, according to a Cloud Theory report cited by Automotive News. By September, the report showed that this number had jumped to 80 days.
The problem is even worse for Mercedes and in the luxury segment overall. The average luxury EV sales time across brands increased by 73 percent in September compared to the same month last year, according to the aforementioned Edmunds data. For Mercedes dealers, the rate increased by 110 percent year over year.
“The ship of early adopters — willing to put a reservation down on virtually any EV announced — has sailed,” says Edmunds Insights Director Ivan Drury.
The report comes after Mercedes delayed its internal goals for electrification earlier this year, now aiming to reach a milestone of half of its auto sales being plug-in hybrids or fully electric by 2026 instead of a year prior. It also comes after Mercedes joined other automakers in adopting Tesla’s charging hardware, dubbed the North American Charging Standard (NACS).
Mercedes-Benz to launch Level 3 automated driving tech in the US by Q4
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
