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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News
Ford is charging for a basic EV feature on the Mustang Mach-E
When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.
Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.
Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.
However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.
The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.
Ford is now charging $495 on the Mustang Mach-E frunk (front trunk). What are your thoughts on that? pic.twitter.com/EOzZe3z9ZQ
— Alan of TesCalendar 📆⚡️ (@TesCalendar1) February 24, 2026
Ford is charging $495 for the frunk.
Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.
When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.
Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking
It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.
It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.
News
Tesla to improve one of its best features, coding shows
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
- Credit: u/ObjectiveScratch | Reddit
- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.

