News
Tesla’s 20 million EV goal for 2030 can be equated to the Manhattan Project: expert
For the longest time, Tesla has played the role of a disruptor, a force in the auto industry that pushes other companies to change and acknowledge the legitimacy of battery electric vehicles. But with the company’s 20 million EV goal for 2030, Tesla is trying to go far beyond disruption — it’s trying to fundamentally remake the global auto industry and the battery sector at the same time.
If successful, Tesla could become the world’s largest company. Billionaire investor and longtime Tesla bull Ron Baron mentioned this recently when he noted that the only company that could probably follow the EV maker is Elon Musk’s private space firm, SpaceX. Selling 20 million vehicles in 2030 would also make Tesla an automaker that matches Toyota and Volkswagen’s sales today combined, holding about 20% of the global vehicle market.
Needless to say, Tesla’s goals are extremely ambitious. For the company to achieve this, Tesla should see a 14-fold increase over the estimated 1.4 million or so vehicles that it is hoping to sell this year. It will also cost hundreds of billions of dollars, as per a Reuters analysis of Tesla’s financial disclosures and forecasts on the electric vehicle sector as a whole.
Michael Tracy of The Agile Group, a manufacturing expert, noted that Tesla’s 20 million EV goal for 2030 is so ambitious, it could be equated to the Manhattan Project, the United States’ massive effort in the Second World War that paved the way to the creation of nuclear weapons. “I’d equate this with the Manhattan Project in World War Two,” Tracy said.
Tesla has been growing fast, but it will have to grow at an unprecedented rate in the coming years if it wishes to hit its 2030 target. Tesla would have to construct about seven or eight more Gigafactories every 12 months or so in the coming years. It would also need to secure about 30 times as much battery capacity to supply its operations. Reuters estimated that it would cost an estimated $400 billion over the next eight years to build Tesla’s manufacturing footprint across the globe and another $200 billion to build or purchase batteries.
Benchmark Mineral Intelligence, which tracks the worldwide EV battery segment, noted that Tesla would likely have to secure 2.0 million tons of lithium, 1.3 million tons of nickel, 0.2 million tons of cobalt, and 3.5 million tons of graphite to support its 20 million EV goal in 2030. This is about four times as much lithium and nickel, about twice as much cobalt, and seven times as much graphite as the entire electric vehicle segment is looking to consume this year.
Tesla has been busy pursuing its ambitious 2030 goal. Former Tesla executives interviewed by the publication noted that Tesla had started signing offtake agreements with miners and refiners over a decade ago. The former Tesla executives reportedly noted that the company currently has deals with over 20 materials suppliers across the globe.
While experts today have stated that the raw material capacity needed to support Tesla’s 20 million EV goal for 2030 does not exist for now, the electric vehicle maker has a reputation for having great foresight. It may seem inconceivable now, but Tesla was considered insane in the past when it decided to build Gigafactory Nevada to prepare for the Model 3’s ramp. Back then, experts also questioned whether such a massive investment was warranted because the demand for EVs was still uncertain. But as history would show, Tesla was eventually proven right.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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.