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Tesla's battery acquisitions are paying off in spades, and giving rivals a lot of pain
There was a time, not too long ago, when Tesla skeptics questioned the company’s focus in designing and producing its own batteries with a dedicated partner like Panasonic and a facility like Gigafactory 1 in Nevada. Batteries, after all, are available off-the-shelf from companies like LG Chem, and it seemed pretty futile for Tesla to insist that it needs its own battery supply for its future business.
Fast forward to 2020, and Tesla’s extreme focus on battery development is paying off in spades. Over the years, Tesla has acquired multiple companies that have, in some way, enabled the company to accelerate or improve its products’ batteries. Included among these are Grohmann Automation, whose machines are the bread and butter in Gigafactory 1, Maxwell Technologies, and more recently, HIBAR systems.
At this point, Tesla’s batteries have pretty much become the gold standard for EVs, and the company appears to be well on its way towards releasing vehicles that have a range of 400 miles or more. The Plaid Model S and X will likely be the first of these, as well as the next-gen Roadster, which will have 620 miles of range. Even the reasonably-priced Cybertruck tops out at over 500 miles of range per charge. Massive battery developments are needed to achieve these, and Tesla seems to have done it, or at least is well on its way.
This does not appear to be true for other OEMs attempting to enter the electric vehicle market. As veteran companies unveiled their EVs, and as none have really managed to hold a candle to Tesla’s flagship Model S in terms of range, it is becoming evident that the electric car maker’s investments in batteries may have actually been the right strategy all along. Daimler, for one, seems to be feeling this inconvenient truth, with works council chief Michael Brecht explaining during a recent interview with Manager Magazin that Tesla’s battery-related acquisitions are actually having an effect on Germany’s EV efforts.
Daimler launched its first EV, the Mercedes-Benz EQC, in 2018, and it has not really lived up to the hype. Despite being dubbed at some point as a potential “Tesla Killer” due to its pedigree and excellent German build quality, the all-electric SUV has faced battery shortages and low sales. Registrations in Germany for the vehicle only show about 55 units sold to date despite all the ad campaigns dedicated to the SUV. Battery supply shortages have also forced Daimler to cut the annual production target of the EQC by 50% from 60,000 to just 30,000.
Quite interestingly, Brecht partly blames Tesla for some of the challenges facing the EQC today. Explaining his points to the publication, he argued that one of the reasons Daimler is struggling with battery demand is because Tesla bought Grohmann Engineering, which has valuable technology that could be used for battery-related developments and activities. Brecht also mentioned that Grohmann was actually hired by Mercedes-Benz to build up its own battery manufacturing capacity.
Brecht’s statements are notable since it is quite rare to see a veteran car manufacturer actually point the finger at Tesla to explain the dire condition of its own EV program. One can only hope that perhaps, the EQC would be a lesson that Daimler could learn from. After all, Daimler, among German automakers, would likely have no issues tapping into Tesla’s established technologies, batteries and powertrains alike, as the two companies have already worked together in the past. Elon Musk has stated that eventually, Tesla may be open to selling its batteries and powertrains with other OEMs. If this were to happen, it would be wise for Daimler to wait right in front of the line to avoid another EQC-sized flop.
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
