The Kelley Blue Book (KBB) 2019 Best Resale Value Award Winners are in, and Tesla’s Model 3 has landed at the top of the electric vehicle category with a projected 69.3% resale value after 36 months and 48.7% after 60 months. Its SUV brethren, the Model X, achieved a worthy status of its own, placing 2nd in the same category at 56.7% (36 months) and 34.3% (60 months). While Tesla’s fleet of vehicles are high-value luxury cars, their ability to retain a large portion of their original selling price as used cars is yet another data point driving their desired position in the consumer market.
The recognition given by the long-trusted consumer automotive resource in its announcement of the award spoke highly of the vehicle’s appeal to buyers, something which played a role in its valuation: “The Tesla Model 3 has a cultural magic and desirability about it that made people willing to wait months and even years to own one. People don’t like Tesla Model 3s — they crave them,” noted KBB in a tweet. This sentiment from KBB as a 92-year veteran in car assessments, of course, adds yet another confirmation of something many Tesla owners and reservation holders already assumed to be true.
The @Tesla #Model3 has a cultural magic and desirability about it that made people willing to wait months and even years to own one — that's how you hold on to your resale value over time. #KBBBestResaleValue
— Kelley Blue Book (@KelleyBlueBook) January 24, 2019
Thanks to Tesla’s customer-driven design and development process, features such as class-leading range, a vast Supercharging network, over-the-air software updates, great-looking design, and overall technology serving convenient, practical, and entertainment purposes, the company’s two newest vehicles are handily standing out against competitors. In KBB’s overview page detailing the Model 3’s category win, more praise along these lines was offered: “For those who can afford it, the smallest Tesla offers usability, joyful road manners, and an intriguing glimpse of a gasoline-free future.” The vehicle’s 5-star safety rating from the National Highway Traffic and Safety Administration (NHTSA) in every category was also noted as a driving price point in a general overview page about the Model 3.
The annual KBB Best Resale Value Awards compares a variety of vehicle resale metrics over 36 and 60 month time frames and then sorts them into three categories: Best Brand/Luxury Brand (evaluating makers’ overall portfolio), Overall Top Ten Winners (best resale values in all categories), and Category Winners (24 categories covering every class, shape, and price). According to the KBB website detailing the award, the values are calculated based on several factors including vehicle specification and trim levels, sales data, market data, and segment competition, among others. While the general system is meant to provide a fair comparison, certain numbers are worth considering more broadly for a fuller picture of Tesla’s Model 3 and Model X in the market.
Given the chance to compete in categories that would fit outside of an electric vehicle-only comparison, the Model 3 would beat every other sedan by a large margin at the 36-month mark. The Best Mid-Size Car, Subaru Legacy, was given a 51.8% resale value at 36 months and 38.4% at 60 months. As Best Luxury Car, the Audi A7 came in at 47.3% and 32.3%, respectively. Compared to the gasoline-powered winner, Chevy Tahoe, in the Best Full-Size SUV category at 55% and 43%, the Model X would have prevailed at 56.7% and 34.3%.
Perhaps as more legacy auto manufacturers come over to the all-electric side, the categories will become more agnostic about vehicle power sources for awards.
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
