The Tesla Model 3 was ranked number 1 on a new study that analyzed the value retention of vehicles on the market. The Model 3 only showed a depreciation of 5.5% compared to the price of a new unit. That’s half the depreciation compared of the second-ranked vehicle on the study’s Top 10 list, the incredibly popular Ford Ranger pickup truck.
The study from iSeeCars.com noted the difference in value between two Model 3s manufactured a year apart was only $2,529. That’s just roughly the price of a few options from Tesla’s online configurator, like paint and white seats. With prices this close, there will likely be very little incentive for prospective EV buyers to opt for a second-hand Model 3.
One of the key motivations for buyers of second-hand cars is the supposed low price of the used vehicles themselves. Cars are notorious for losing a significant part of their value as soon as they are driven off the lot, and generally, electric vehicles see an even steeper depreciation. But for Tesla buyers, the high value retention of the company’s vehicles means that most of the time, it becomes far more practical to acquire a brand new Model 3 from the electric car maker.
This is something that was highlighted by iSeeCars CEO Phong Ly in a statement. “Instead of buying a car that’s already been driven for one year, consumers can buy the new version of select vehicles with a purchase price of just a few thousand dollars more to avoid the uncertainties that come with purchasing a used vehicle,” he said.
The iSeeCars CEO has valid points. There are notable uncertainties when one purchases an electric car. A second-hand car whose previous owner was careless may be prone to more issues compared to a new vehicle, for example. Apart from this, purchasing new cars offer a lot of benefits to consumers, since buyers will have full control on what their cars will be equipped with, from its interior to software-based features such as the Full Self-Driving suite.
The benefits of new Teslas extend beyond the cars’ buyers as well. The electric car maker benefits from operating a fleet of vehicles that are comprised of mostly new cars. Tesla is known for incrementally improving its vehicles to an almost obsessive degree. This means that when it comes to Teslas, it is always in the best interest of consumers to purchase the latest cars to make sure that they are getting the best tech and features available.
Does this mean that there is no place for Teslas in the second hand market? Definitely not. Second-hand Teslas will likely play a valuable role in the years to come, considering that the company is still expanding its presence across the globe and is yet to enter some large markets like India. Tesla is on a path towards a future where it could eventually produce millions of cars every year. Once this happens, Teslas will likely become ubiquitous enough that the second-hand market for the company’s electric cars will be friendlier to buyers.
Second-hand Teslas can also play a huge role in the company’s Robotaxi Network, which will utilize vehicles for ride-hailing services. For owners who wish to operate several Robotaxis, even the small savings offered by pre-owned vehicles will go a long way to ensure that their return of investment is quick. For now, though, and as long as Tesla is demand constrained, buyers can expect the Model 3 to resiliently retain its value years after it is purchased.
If there is anything shown in iSeeCars’ recent study, it is that Tesla is breaking stereotypes once more. A separate study from the firm showed that electric vehicles depreciate by 56.6% in three years, significantly more than 38.2% average depreciation across most petrol vehicles. Tesla has bucked this trend, however, with its entire lineup of vehicles like the Model 3, Model S, and Model X.
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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
