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The ‘Elon Musk Method’ explains Tesla’s runaway success in the EV sector

Elon Musk giving YouTube tech reviewer Marques Brownlee a tour of the Fremont factory. (Credit: MKBHD/YouTube)

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Over his 16-year tenure at Tesla, Elon Musk went from knowing very little about the automotive business to being the CEO of the world’s most valuable carmaker by market cap. The journey towards Tesla’s current place in the electric vehicle sector, together with the numerous small milestones that the company has achieved over the years, is partly due to Musk’s style. Without the “Elon Musk Method,” Tesla’s successes would likely have been not as notable, and most certainly not as radical. 

As noted in a Reuters article, Elon Musk’s record has shown that beyond the rockstar bravado that he displays on social media platforms like Twitter at times, the Tesla CEO is a quick learner who is smart and strategic enough to forge alliances with companies that had tech that Tesla lacked. Musk would then follow this up by hiring the smartest people available in the industry, before powering through boundaries that limited companies that are more risk-averse. 

Under Musk’s leadership, Tesla flourished as a vertically-integrated electric car maker. From computers to car seats and now to battery cells, Musk is intent on making Tesla more and more independent. Speaking with the news agency, a former senior executive at Tesla noted that Musk is consistently set on pursuing improvements that would make something better, faster, and cheaper. “Elon doesn’t want any part of his business to be dependent on someone else. And for better or worse – sometimes better, sometimes worse – he thinks he can do it better, faster and cheaper,” the executive said.

Tesla CEO Elon Musk unveils futuristic Cybertruck in Los Angeles
Tesla CEO Elon Musk unveils futuristic Cybertruck in Los Angeles, Nov. 21, 2019 (Photo: Teslarati)

According to people familiar with Tesla’s strategy in its early days, Musk has always been looking to learn more about the auto industry. He accomplishes this through several means such as strategic partnerships and aggressive talent recruitment. Back then, the goal of Tesla was reportedly to create a digital version of Ford’s iron-ore-to-Model-A production system, which was developed in the late 1920s. Former Tesla supply chain executive Tom Wessner noted that during these times, “Elon thought he could improve on everything the suppliers did – everything. He wanted to make everything.” 

Among these components, of course, were the battery cells that are used for Tesla’s electric cars. Musk’s subordinates have reportedly argued against the idea of developing proprietary battery cells, but the CEO has been adamant about his goal. A former Tesla veteran who spoke to Reuters added that such a reaction from Musk is well within character. “Tell him ‘No’ and then he really wants to do it,” the veteran said. This is something that has happened in the past, as Musk was reportedly looking into battery cell manufacturing since 2011, well before going into a close partnership with Panasonic in 2013. 

(Credit: Living with Intent/YouTube)

Tesla’s relationship with Panasonic could be described as a roller coaster ride. Tesla’s demands during the Model 3 ramp appeared to have strained the capabilities of its Japanese partner, and last year, reports emerged alleging that the two companies were growing apart. Yet even with the upcoming debut of Tesla’s Roadrunner cells, Panasonic maintains that it has a strong relationship with Tesla. “There has been no change in our relationship with Tesla. Our relationship, both past and present has been sound. Panasonic is not a supplier to Tesla; we are partners. There’s no doubt our partnership will continue to innovate and contribute to the betterment of society,” a Panasonic spokesperson stated. 

It appears that Tesla’s long partnership with Panasonic is part of the building blocks of the Roadrunner project. True to form, Musk likely used the knowledge he learned from the veteran Japanese firm to help create an in-house battery cell production line that could be perfectly designed for Tesla’s electric vehicles and energy products. This, in a way, echoes much of Tesla’s development alliance with Daimler in the past. Daimler was an early investor in Tesla, and during the time, Musk reportedly became very interested in sensors that could help keep cars within lane lines. As noted by a senior Daimler engineer, the Tesla Model S lacked the necessary cameras and driver-assistance sensors to match the flagship features of the Mercedes-Benz S-Class then. Musk and the Tesla team then went to work, and the result was history. 

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“He learned about that and took it a step further. We asked our engineers to shoot for the moon. He went straight for Mars,” the Daimler executive said. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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Credit: xAI

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.

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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.

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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.

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Credit: Tesla

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.

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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.

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Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025

According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.

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Credit: ANCAP

The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.

According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.

The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring. 

This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.

The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.  

ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.

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“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.

“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.

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