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Tesla vs The Big Three – An uneven contest
Elon Musk has said many times that his ultimate goal is to increase the adoption of electric vehicles, a goal that’s advanced with every EV that rolls off a dealer’s lot, even if it’s not a Tesla. “The biggest impact that Tesla will have is not the cars that we make ourselves, but the fact that we show that you can make compelling electric cars that people want to buy,” he said in Revenge of the Electric Car.
When it comes to making compelling electric cars, the company has succeeded spectacularly. But when it comes to inspiring the industry leaders to sell their own EVs in substantial numbers, that isn’t happening. Spokesmen for the major automakers (especially when speaking to the EV media) say things like, “the future is electric,” and “we intend to stay at the forefront of technology,” but when it comes to action, the playbook is: sell just enough EVs to satisfy government regulators, while keeping the focus on profitable trucks and SUVs.
A recent article in CleanTechnica takes a look at the lineup of plug-in models offered by the Big Three (Ford, GM, and Fiat Chrysler). The current roster consists of 3 pure electric vehicles (EVs) and 5 plug-in hybrids (PHEVs). Of the 3 EVs, only one, the Chevy Bolt, is truly an attractive option. The Fiat 500e is a compliance car that’s only available in two states, and Fiat Chrysler CEO Sergio Marchionne has asked the public not to buy it. The Ford Focus EV was introduced in 2011, and not updated until 2015 – it sold a grand total of 901 units in 2016.
However, the handwriting is on the garage wall. Plug-in vehicle sales have increased every month for the last 20 months, Tesla’s Model 3 has accumulated somewhere around 400,000 advance orders sight unseen, and battery prices are falling rapidly – several industry observers have predicted that EVs will reach cost parity with legacy vehicles in about 5 years. So, is Detroit raising its game, and preparing to expand its portfolio of electric models?
Fiat 500e [Credit: Car and Driver]
Well, sort of. In January, Ford announced that it plans to introduce 13 new electrified vehicles over the next five years. However, it offered specifics for only 7, and only one of these is an electric vehicle for the US market: “an all-new fully electric small SUV, coming by 2020, engineered to deliver an estimated range of at least 300 miles.” The other 6 include hybrids and an electric commercial van to be sold in Europe.
Ford representatives have made it clear that the company will be taking a gradual, go-slow approach to electrification. CleanTechnica’s Loren McDonald spoke with Brett Hinds, Ford’s Chief Engineer of Electrified Powertrain Systems, in early January, and was left with the impression that the automaker feels little urgency about upgrading its electric vehicles. When McDonald mentioned that industry experts expect EV ranges to increase to 300 miles in 5-7 years, and that battery charging rates are also expected to improve, he was told that “Ford just doesn’t see it that way.” (Yes, this directly contradicts Ford’s official announcement quoted above – the major automakers often make contradictory statements about their electrification plans.)
More recently, Ford replaced CEO Mark Fields with Jim Hackett, the head of its Smart Mobility division, a move that is believed to signal more emphasis on electric and autonomous vehicles. Ford Executive Chairman Bill Ford confirmed this, telling Bloomberg in an interview that the CEO switch “is about EVs, and it’s about AVs [autonomous vehicles].” However, he seemed to acknowledge that the focus would remain on short-term profits (read: trucks). “Wherever we go, we have to make sure that the returns are great for our shareholders,” said Ford. When asked if he could foresee a future in which EVs would generate the kind of margins the company makes on the F-150 pickup, he thought silently for a moment, then changed the subject.
The voltage level is much higher over at GM, where the new Chevy Bolt has been earning rave reviews, and making respectable sales – it moved 1,566 units in May, #5 in the US plug-in ranking. However, the rollout has been slow – the Bolt went on sale in December 2016, but it still isn’t available in all 50 states.
“I wouldn’t necessarily call it a slow rollout; it was a phased rollout,” Chevrolet spokesman Jim Cain told Bloomberg. “In terms of sales, I think we’re right on plan.” And that’s kind of the point. As Elon Musk and others have pointed out, GM doesn’t seem to have any desire to sell the Bolt in mass-market quantities – it’s likely to limit production to 25,000 or so per year.
Ironically, the considerable media buzz around the Bolt seemed to disappear as soon as it actually went on the market. “The little car hasn’t captured any of Tesla’s Silicon Valley street cred, and it hasn’t whipped up any of the cultish following that still benefits the Toyota Prius,” writes Bloomberg’s Kyle Stock.
GM’s future electrification plans are vague. In February, GM CEO Mary Barra told CNET’s RoadShow that the Bolt platform will be the basis for a range of future EVs, but no details have been forthcoming.
And then there is Fiat Chrysler, the only automaker that has always been honest about its lack of interest in EVs. CEO Sergio Marchionne has said that the company loses about $14,000 on each unit of its Fiat 500e, and famously asked consumers not to buy it. The little electric runabout has garnered excellent reviews, can be leased for as little as $100 a month, and has been selling a surprising 600 or 700 per month, despite being available only in California and Oregon. Chrysler recently launched a plug-in hybrid version of its extremely popular Pacifica minivan, but it’s too early to tell how it will do.
One glaring problem is that the Big Three continue to put out lackluster designs for their electric cars. Diarmuid O’Connell, Tesla’s vice president of business development had said, “In essence, they’ve delivered little more than appliances. Now, appliances are useful. But… they tend to be unemotional.” Tesla’s CEO, Elon Musk, goes one step further, pointing out that an electric car shouldn’t “feel like a weird-mobile.”
On the other hand, the issue with the majors’ plug-in models has never been quality – almost all who’ve driven them, including this writer, agree that they are excellent automobiles. What remains puzzling is the companies’ willingness to market them. The automakers do almost no advertising for them, and most (not all) of their dealers do their utmost to steer customers away from them. Meanwhile, the companies continue to lobby to have fuel economy and emissions standards watered down.
A recent article in Plug-in Future, “How the Major Global Automobile Manufacturers Fell Asleep at the Wheel” notes a cling-to-the-past cultural dynamic. “Part of it comes down to mentality and culture. Senior executives in automobile companies tend to be [oftentimes] male mechanical engineers who… [enjoy] tinkering around with old cars and tractors. It’s what they do; it’s what they love and their careers have been about perfecting the highly complex internal combustion engine. And now you are telling them to get rid of that engine and replace it with a simple electric drive and a battery to power it. No wonder they are resistant… Changing such a culture is very difficult.”
So what gives? Is it short-sightedness? Fear of the future? Plain old stupidity? Not likely. Sure, they might be stuck in their ways but we’re talking about highly informed veterans of the auto business, who have access to all the same articles, statistics and reports that you and I do (much more, actually).
What’s really happening here is a phenomenon called The Innovator’s Dilemma (the title of a 1997 book by Clayton Christensen, and yes, I believe most auto industry execs have read it). Incumbent corporations can’t keep up with disruptive technological changes, because their shareholders demand quarterly profits. They can experiment with new technologies, but they can’t pursue them whole-heartedly, because that would mean cannibalizing their proven profit centers (to sell an electric car, you have to explain why it’s better than a gas car). Once a new technology improves to the point that it can offer similar capabilities (range, charging time) to the old at a similar price, the incumbents’ market can disappear surprisingly quickly – remember Kodak, Blockbuster, and Blackberry.
by Charles Morris
This story was originally published on EVANNEX
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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.
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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.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
