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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
Tesla owners surpass 8 billion miles driven on FSD Supervised
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account.
Tesla shared the milestone as adoption of the system accelerates across several markets.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Elon Musk
The Boring Company’s Music City Loop gains unanimous approval
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.
The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown.
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.
Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.
The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post.
Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.
“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said.
The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.
Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”
Elon Musk
Tesla announces crazy new Full Self-Driving milestone
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.
The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.
On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.
Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.
Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.
This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.
The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.