Tesla was found to be one of the most unreliable brands in America, according to Consumer Reports’ annual reliability report.
Consumer Reports‘ annual reliability rankings have been released, and with data from 24 brands and over 300,000 vehicles, Tesla fell near the bottom (19/24) along with Mercedes-Benz, Jeep, Volkswagen, GMC, and Chevrolet. Electric vehicles overall also placed poorly, being the second least reliable category of vehicles. Hybrids/plugin hybrids, especially those from Toyota, were found to be the most reliable.
Before diving deeper into the rankings, it is crucial to understand how Consumer Reports creates its yearly reliability rankings in the first place. This year, the company surveyed over 300,000 vehicles (sold between 2000-2022), and over the past year, owners were asked to report issues they had with their vehicles. Issues were categorized into 17 categories; engine issues, transmission issues, interior electronics issues, etc. From this accumulation of data, Consumer Reports then gives each brand a grade out of 100 regarding their overall reliability.
Consumer Reports also stipulates that they will only rank brands that they have “sufficient survey data for two or more models.” Hence the absence of brands such as Rivian, Alfa Romeo, and Lucid.
Tesla scored a reliability score of 40/100, while electric vehicles overall scored 36/100. It isn’t all bad news for Tesla; its score matches the average for domestic automakers, the company was able to improve its ranking by four places compared to last year, and none of its vehicles made it to the list of 10 least reliable vehicles in America. A list that notably included the popular Hyundai Kona EV scoring 5/100.
Conversely, hybrid and PHEV vehicles crushed the competition with an average score of 78/100. And unsurprisingly, the brand with the most extensive representation within that segment, Toyota, achieved the number 1 spot with an overall reliability score of 72/100. Toyota was joined by Lexus, BMW, Mazda, and Honda in the top 5 (descending order).
Consumer Reports’ results lead to one central question, what influenced Tesla (and electric vehicles generally) in scoring so low compared to the competition? This question becomes especially confounding when the prevailing narrative is that “electric vehicles are generally more reliable than their gas counterparts.”
Consumer Reports’ analysis only addresses this question once, noting that “As more EVs hit the marketplace and automakers build each model in greater numbers, we are seeing that some of them have problems with the battery packs, charging systems, and the motors in their drive systems. Owners of the Chevrolet Bolt, Ford Mustang Mach-E, Hyundai Kona Electric, and Volkswagen ID.4 all reported some of these issues.”
Another couple of issues that may be plaguing Tesla include build quality and software problems. Tesla has notoriously had quality control issues, which will certainly not aid its reliability score. At the same time, as Tesla attempts to offer the bleeding edge of software innovation, they undoubtedly encounter more software issues than have been typically seen in the automotive space. And while these problems are typically fixed through updates and technical support quickly, they could easily contribute to Tesla’s poor performance.
Looking to the future, it is clear that Tesla needs to continue to dedicate itself to improving QC and general reliability. It is easy to say, “Tesla needs to increase production,” but consumers will pay the price if this production expansion comes at the cost of reliability.
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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
