The Tesla Model 3 was recently deemed by Kelley Blue Book as one of the winners in its 5-Year Cost to Own Awards for 2022. KBB’s 5-Year Cost to Own Award explores the costs associated with the ownership of a vehicle. This includes the vehicle’s price, maintenance costs, fuel or charging rates, any state tax, and registration fees, as well as a car’s depreciation over a 5-year ownership period, among others.
As per the automotive research company, the 2022 Tesla Model 3 leads the “Electric Luxury Vehicle” segment with a 5-year cost to own of $48,233. According to Kelley Blue Book, the Model 3’s 5-year cost to own is $16,411 less than the segment average. This is quite impressive, especially considering that the Model 3 is Tesla’s entry-level vehicle today.
The fact that the Model 3 was dubbed by KBB as one of the winners in its 2022 5-Year Cost to Own Awards is quite unsurprising, especially if one were to consider that electric vehicles like Teslas do not need as much maintenance as their internal combustion engine-powered counterparts. And being part of Tesla’s ecosystem, the Model 3 enjoys a number of perks that some of its rivals in the “Electric Luxury Vehicle” segment do not enjoy as well, such as Supercharging rates, which are extremely convenient and affordable.
The Tesla Model 3 has been receiving price increases over the past months, but it is still a pretty bang-for-the-buck electric car. This is something that KBB highlighted in its review of the 2022 Tesla Model 3, with the automotive research company stating that “part of the beauty of the Tesla Model 3 is that it’s an all-electric compact luxury sedan with a starting price similar to its gas-powered competitors” since the “starting price of the Model 3 is similar to the Audi A4, Lexus IS, BMW 3 Series, and most other conventional compact luxury sedans.”
What is quite interesting to note is that the Model 3’s cost might normalize soon, especially with the advent of innovations such as Tesla’s 4680 batteries. Tesla’s 4680 cells will be making their debut in the Made-in-Texas Model Y, but the company intends to roll out the innovation to more of its vehicles in the future. Considering that the 4680 cells are designed to lower vehicle production costs, it is almost certain that the Model 3 will be receiving the same innovation in the future. And when it does, it would likely appear once more as a winner in KBB’s 5-Year Cost to Own Awards.
Tesla currently sells three variants of the Tesla Model 3. The base model, which is equipped with one electric motor at the rear, starts at $44,990 before incentives. A midrange variant called the Model 3 Long Range, which features a dual-motor all-wheel-drive system, starts at $51,990, and a top-tier variant called the Model 3 Performance is offered for $58,990. That’s well into luxury car territory, but the Model 3 Performance features capabilities that are equal to far more expensive vehicles, such as its 0-60 mph acceleration, which is listed by Tesla as 3.1 seconds.
The full winners of Kelley Blue Book’s 5-Year Cost to Own Awards can be found here.
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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.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
