Teslas have garnered a reputation for many things, and having a great resale value is one of them. This was recently highlighted in a study conducted by car search engine iSeeCars.com, which analyzed over 6.9 million car sales to identify which vehicles experienced the most and least depreciation in the past three years. As it turns out, the Tesla Model 3 is able to retain its value over five times better than other EVs in the market.
As noted by iSeeCars in its recent study, a vehicle generally depreciates 39.1% after the average lease term of three years. According to iSeeCars CEO Phong Ly, three years is a popular age for used car buyers because vehicles would have taken a major depreciation hit by the three year mark, and the cars generally are equipped with a good amount of recent features.
“Three years is a popular age for used car buyers because the cars have taken a major depreciation hit, but likely have many of the latest modern safety and technology features. Some of these bargains provide good opportunities for car shoppers as reliable vehicles that are discounted because they simply aren’t as popular in their vehicle segments,” Ly noted.
Electric vehicles usually depreciate faster than their internal combustion counterparts, with the study stating that the average depreciation of EVs over a three year lease period is about 52.9%. That’s almost 1.4 times greater than the average for all cars in the market. This, according to Ly, is partly because most EVs in the market today were bought with the $7,500 tax credit, and electric car technology moves at a rapid pace.
“Categorically, electric vehicles depreciate more than the average vehicle because resale values take into account the $7,500 federal tax credit and other state and local credits that were applied to these vehicles when they were bought new. Because the technology of EVs changes at a rapid pace, obsolescence also plays a role in their dramatic depreciation as well as consumer range anxiety and lack of public charging infrastructure,” the CEO explained.
This is particularly true for two of the most popular EVs from legacy automakers, the BMW i3 and the Nissan LEAF. According to the recent study, the BMW i3 depreciates 60.4% over a three year period, while the Nissan LEAF depreciates 60.2%. This trend, however, is completely broken by Tesla, whose Model S, Model X, and Model 3 depreciates far lower than the EV industry average. The Model S, for example, depreciates 36.3% over a three-year period, while the Model X depreciates 33.9%.
What is rather remarkable is that the Tesla Model 3, the electric car maker’s most affordable vehicle in its lineup today, retains its value even more than its more expensive siblings. According to iSeeCars.com’s data, the Model 3 only loses 10.2% of its value over a three year period. This means that the Model 3’s depreciation is over five times less than the EV industry’s average, and over three times less than the overall auto market’s average. Part of this, according to the study, is due to the Model 3’s bang for your buck nature.
“The Tesla Model 3 is still very much in high demand since it started production in 2017. Even though it doesn’t present a bargain compared to its new car price, it offers consumers a more affordable option for owning a Tesla,” the study noted.
There are other factors that are at play that help Teslas retain their value. Unlike other EVs on the market, Teslas receive frequent over the air software updates that give vehicles new features, and at times even better performance, over time. This allows even older Teslas to be comparable to their newly produced counterparts. Unfortunately for legacy automakers, over the air software updates are one thing that is proving to be quite difficult to crack.
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
