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Tesla’s battery strategy has “no advantage,” Ford CEO says
Tesla’s battery strategy will not be adopted by legacy automotive company Ford, because Jim Hackett, the company’s CEO, says there is “no advantage” in migrating capital into owning a cell manufacturing facility.
During Ford’s Q2 2020 Earnings Call in late July, Morgan Stanley’s Adam Jonas asked about the company’s strategy to produce EV batteries in-house, as opposed to sourcing the cells from third-party companies like Panasonic and LG Chem.
Hackett, who elected to retire from his post as head of Ford earlier this year, stated that his team did a “deep dive” on whether it was advantageous to create its own battery cells.
It proved not to be advantageous for Ford.
“I’ve met with a number of the people that you know that are in the supply side of this. And it was our estimation, in fact, our whole team went through a really deep dive on this six months ago, that the supply chain has ramped up since Elon built his Gigafactory,” Hackett said. “And so there’s plenty there that does not warrant us to migrate our capital into owning our own factory. There’s no advantage in the ownership in terms of cost or sourcing as what Ford can draw on.”
Instead, the company will continue to go the path that it is now, which requires sourcing batteries from third-party suppliers instead of researching and improving on cells within the company’s facilities across the world.
Interestingly enough, Tesla has found tremendous advantages in producing its own batteries at its Giga Nevada facility, which is responsible for assembling battery packs with the help of Panasonic.
Forbes stated that a Trefis analysis from January 2020 showed that battery costs fell by 45% from 2016 to 2019, which effectively decreased the price of Tesla’s vehicles by $7,000 on average.
Despite this, Ford isn’t budging, and the company’s executives don’t believe they require a battery plant at the current time.
Hau Thai-Tang, Ford’s Head of Product Development and Purchasing, stated that the company would need to manufacture between 100,000 and 150,000 electric vehicles a year to justify a battery production facility, Automotive News reported.
“We don’t have that volume initially to justify that capital expenditure,” Thai-Tang said. “There’s insufficient scale for any one OEM, other than somebody who’s a full-line battery-electric manufacturer like Tesla, to justify that spending.”
Thai-Tang’s statement indicates that there is a possibility that Ford could change its mind about battery production in the future. Still, the company will have to increase the production of its electrified lineup. For now, he is okay with buying batteries from suppliers.
“It gives us the ability to access the latest technology and innovation across multiple suppliers,” he said.
Tesla, however, is thriving by developing its battery technology. Many Wall Street analysts contribute the company’s cell strategy as a primary reason for its success, which has been exponential so far this year for investors.
Ford is still fine-tuning its EV project and is planning to release a fleet of forty electric cars by 2023 by spending $11 billion by 2022 to develop the technology required to be competitive in the quickly-growing sector.
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.
News
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.
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.
“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.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
