General Motors has increased its electric vehicle investment by 75%, from $20 billion to $35 billion through 2025, the company announced on Wednesday.
The additional $15 billion investment will help support GM in its quest to develop electric and autonomous vehicles, as well as “accelerate its transformative strategy to become the market leader in EVs in North America; the global leader in battery and fuel cell technology through its Ultium battery platform and HYDROTEC fuel cells; and through Cruise, be the first to safely commercialize self-driving technology at scale.”
GM announced a while back in March 2020 that it would commit $20 billion to EV and AV programs from 2020 to 2025. The plan is to eventually transition its entire fleet of vehicles to be fully electric, but the company doesn’t plan to accomplish this until 2035. Nevertheless, the company seems to be relatively serious about its transition into sustainable forms of passenger transportation, even if the goal of 2035 isn’t lofty enough for some.
The Detroit-based GM entered the EV sector with the EV1 in 1996, which used a 16.5-18.7 kWh lead-acid battery in its earliest versions. The car ultimately never made it to mass production, and it was listed on TIME’s “50 Worst Cars of All-Time” list, which is harsh considering it was one of the first attempts at a battery-powered vehicle in the modern age.
GM has been relatively successful in its quest for EV powertrains in the 21st century. The Chevrolet Bolt is its main EV at the current time, which has sold relatively well in the grand scheme of things. However, the company is planning to continue launching new models in the future, most notably the GMC Hummer EV. GM also plans to roll out the Cadillac LYRIQ and the Chevrolet Silverado electric pickup in the coming years.
“We are investing aggressively in a comprehensive and highly-integrated plan to make sure that GM leads in all aspects of the transformation to a more sustainable future,” CEO and Chairwoman Mary Barra said.
“GM is targeting annual global EV sales of more than 1 million by 2025, and we are increasing our investment to scale faster because we see momentum building in the United States for electrification, along with customer demand for our product portfolio.”
Among the obvious point of expanding its product line in general, GM outlined several other finer points of its expanded investment in a press release.
- Accelerating Ultium battery cell production in the United States: GM is accelerating plans to build two new battery cell manufacturing plants in the United States by mid-decade to complement the Ultium Cells LLC plants under construction in Tennessee and Ohio. Further details about these new U.S. plants, including the locations, will be announced at a later date.
- Commercializing U.S.-made Ultium batteries and HYDROTEC fuel cells: In addition to collaborating with Honda to build two EVs using Ultium technology – one SUV for the Honda brand and one for the Acura brand – GM announced June 15 it has signed a memorandum of understanding to supply Ultium batteries and HYDROTEC fuel cells to Wabtec Corporation, which is developing the world’s first 100 percent battery-powered locomotive.
- Separately, GM will supply HYDROTEC to Navistar, Inc., which is developing hydrogen-powered heavy trucks to launch in 2024, and Liebherr-Aerospace, which is developing hydrogen-powered auxiliary power units for aircraft. Lockheed Martin and GM also are teaming up to develop the next generation of lunar vehicles to transport astronauts on the surface of the Moon, leveraging GM’s expertise in electric propulsion and autonomous technology.
- Today, GM is confirming plans to launch its third-generation HYDROTEC fuel cells with even greater power density and lower costs by mid-decade. GM manufactures its fuel cells in Brownstown Charter Township, Michigan, in a joint venture with Honda.
- Expanding and accelerating the rollout of EVs for retail and fleet customers: In November 2020, GM announced it would deliver 30 new EVs by 2025 globally, with two-thirds available in North America. Through the additional investments announced today, GM will add to its North America plan new electric commercial trucks and other products that will take advantage of the creative design opportunities and flexibility enabled by the Ultium Platform. In addition, GM will add additional U.S. assembly capacity for EV SUVs. Details will be announced at a later date.
- Safely deploying self-driving technology at scale: Cruise, GM’s majority-owned subsidiary, recently became the first company to receive permission from regulators in California to provide a driverless AV passenger service to the public. Cruise also was recently selected as the exclusive provider of AV rideshare services to the city of Dubai and is working with Honda to begin development of an AV testing program in Japan. In addition, GM Financial will provide a multi-year, $5 billion credit facility for Cruise to scale its Cruise Origin fleet. Developed through a partnership between GM, Honda, and Cruise, the Cruise Origin will be built at GM’s Factory ZERO Detroit-Hamtramck Assembly Center starting in early 2023.
The focus for Barra is based on the Earth, and making it a better place through sustainability, she said.
“There is a strong and growing conviction among our employees, customers, dealers, suppliers, unions, and investors, as well as policymakers, that electric vehicles and self-driving technology are the keys to a cleaner, safer world for all.”
News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.