In June 2020, I wrote a newsletter called “How Tesla’s Elon Musk dunks on the competition just as their momentum builds,” where I dissected Tesla’s strategies to derail competition in its footsteps. It seems that anytime a competing automaker is about to make a substantial step forward, Musk or Tesla releases an update that simply takes away any attention from anyone else. In this week’s newsletter, I want to talk about what Elon Musk and Tesla can do in 2021 to combat an expanding EV market, and take momentum away from the companies that claim they are “the next Tesla.”
Rivian
With Rivian coming to the market soon with its R1T pickup and R1S SUV later this year, Tesla has a unique opportunity to halt the oncoming automaker’s momentum. Rivian, headed by CEO RJ Scaringe, has an adventurous, outdoorsy appeal to its consumers and its reservation holders, a strategy that truly speaks to the EV drivers who choose electric powertrains because of their environmental impact. Rivian is likely the first electric car company that will see its products regularly used in offroad settings, just what they’re geared for.
Tesla has always had a relatively luxurious connotation with its name, as its cars are usually sporty, sleek, and perfect for open road driving where the accelerator can occasionally hit the floorboards (not suggested or recommended by me). However, Rivian’s R1T, which sports a traditional pickup truck design, isn’t as talked about or as popular as the Tesla Cybertruck. On frequent occasion, the Cybertruck seems to come out of nowhere with a newly-released modification or design update at the hands of Elon Musk. With Musk revealing that the Cybertruck has been modified and reduced in size by 3%, there is no reason that Tesla won’t show new pictures of the all-electric “Cyberpunk” inspired pickup when Rivian is about to gain momentum. The conversation will almost surely switch back to Tesla because of its name, the truck’s “polarizing” design, and Tesla’s notoriety in the segment.
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The R1S is a little bit tougher of a cookie to crack for Tesla because it doesn’t have anything that really matches the design of Rivian’s SUV. The only thing that could derail attention from the R1S are details about Tesla’s electric van. However, with the Cybertruck, Roadster, and $25k vehicle projects being talked about already and delays due to battery constraints, there isn’t much hope to hearing about the Tesla Van in the near future.
Even still, something simple as renders or Musk even mentioning the possibility of an electric van will drive media into a frenzy. It will likely be one of the only things talked about in the automotive world for several days. While Rivian will release its R1S, it will get coverage, but Musk and Tesla will take priority, I’d assume.
Lucid
Lucid is a company that seems to have the best chance of competing with Tesla in terms of electric car performance. The Lucid Air Dream Edition Limited is one of the premier electric vehicles in terms of performance, and it proved it by setting records at the Laguna Seca raceway in California. Arguably the most sporty electric car since the Model S, the Air has Tesla roots as Lucid’s CEO and CTO is Peter Rawlinson, a former Tesla employee who helped with the Model S project.
The problem for Lucid is that Tesla has the Roadster coming out within the near future. Lucid has already delayed production due to the pandemic, and it won’t come until later this year. Tesla has put the Roadster on hold several times, as it is still in development for a few meteoric features, like hovering, that Elon Musk seems hellbent on figuring out. While the Lucid Air has incredible performance and range that is impressive in its own right, it doesn’t hold a candle to the performance, range, or suspense that Tesla Roadster fans have felt. Updates to the Roadster are unbelievably sought after by enthusiasts, and any small detail is eaten up instantaneously by those who are interested in the vehicle. It is fair to assume that if Lucid announces its initial deliveries of the Air, Tesla could counter it with an update to the Roadster, big or small.
Not to mention, Tesla could singlehandedly take most of Lucid’s appeal away with a quick 10-second clip of the Model S Plaid+ doing a quarter-mile drag. Many people would be interested in the Air’s most robust performance package until they see the 1.7-second 0-60 MPH from Tesla’s new Model S powertrain.
Legacy Automakers and OEMs
There are a lot of advantages here, and one of the biggest could be Tesla’s introduction of Giga Texas later this year. More than a production plant, this facility is set to be an entire experience. A boardwalk, entertainment, tours, you name it. Giga Texas will be a production facility that puts much of its competition to bed simply because of its appeal. It will likely be the most immersive, personal “tour” experience that anyone ever has at a vehicle production plant. Who other than Tesla to make it happen?
Tesla doesn’t have to do much different than what it has done for the past few years to take momentum away from legacy automakers. Continuing to build highly-effective, revolutionary electric cars is all Tesla needs to do to convince people that it is ahead of legacy car companies in this front. Not much needs to change.
Tesla does have its work cut out for it in Europe, though. European EV sales figures are dominated by Volvo, Kia, Renault, BMW, and Volkswagen. Tesla doesn’t have a car in the Top 20 in Europe yet this year, according to the EV Sales Blog. With Giga Berlin coming later this year as well, this will surely change. My guess is the Model Y cracks the Top 5 no later than three months after Giga Berlin’s initial rollout, simply due to demand, the appeal of the crossover body style in Europe, and the distinct advantage Tesla has over legacy car companies in terms of software.
Despite the tumble on Wall Street, Tesla still has plenty of time to turn 2021 around. With the EV sector growing this year as new manufacturers release their first products, Tesla has an opportunity to show that they’re still able to compete with the young guns of the EV industry. Tesla is sure to remain the top dog, and it could take some simple derailing of competition, just like it has done for years.
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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.