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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Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
