News
Tesla vs ICE: Used EV prices rose 5X more than combustion-powered cars in July
A recent analysis from automotive search engine service iSeeCars has determined that used EV prices have risen five times more than their combustion-powered counterparts in July. During the month, electric vehicle prices saw an increase of 54.3% year-over-year, while gas-powered cars were up just 10.1%.
According to iSeeCars Executive Analyst Karl Brauer, the rising costs of used electric vehicles in the market shows that the demand for second-hand sustainable cars is soaring.
“Until recently, mainstream electric vehicles typically depreciated rapidly due to improvements in battery technology and a lack of demand in the secondary market. However, soaring gas prices, improvements in public charging infrastructure, and a lack of inventory for new EVs have led to soaring demand for used electric vehicles,” Brauer said.
The firm’s analysis involved the costs of over 13.8 million 1-5-year-old used vehicles that were sold between January and July of 2021 and 2022. The gap between used EV prices and used ICE car prices has only gotten more prominent this year. In January, for example, second-hand conventional fuel vehicles saw a 36.3% rise in cost, which was not too far from the 54.1% exhibited by used electric cars. This gap has grown significantly over the past two months.
This was quite evident with vehicles like the Nissan LEAF, which saw a 45.0% price increase year-over-year in July 2022. Another affordable electric car, the Chevrolet Bolt EV, saw a price increase of 29.3% in the same month, which was also quite substantial.
“The price increase for the Nissan LEAF, which was once the highest depreciating car on the market, is likely due to heightened gas prices as well as the heightened desirability for the redesigned 2018 model that offers increased range and is now coming off lease to enter the used car market,” Brauer said.
Interestingly enough, Teslas saw a more tempered price increase in the used EV market in July. Used Model Ys only saw a 13.6% price increase YoY, used Model 3 sedans saw a 16.2% increase, and second-hand Model X units saw a 19.7% rise. Only used Model S sedans saw a notable price increase of 27.5%, which may be due to the influx of refreshed variants that were only released last year, like the Model S Plaid.
“Demand for used versions of the Model 3, Model X, and Model Y was high last year before the rise of gas prices because they were relatively scarce in the used car marketplace, which helps explain why they have not had as steep of a yearly price increase,” Brauer added.
Interestingly enough, the Porsche Taycan was the outlier in July 2022, becoming the only electric vehicle that iSeeCars tracked that saw a price decrease in the used EV market. The prices of used Taycan units only decreased by 3.5% year-over-year, though Brauer stated that this might be a hint that car buyers may have an upper limit to what they’re willing to pay for used EVs.
“The Porsche Taycan is the only electric vehicle that has gone down in price compared to last year, perhaps suggesting an upper limit to what consumers are generally willing to pay for used EVs,” he said.
iSeeCars‘ full report can be accessed here.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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
