News
Tesla’s next ‘big unveil’ after Model Y will be its battery growth story
Tesla’s 2020 is bound to be a historic year, for more reasons than initially expected. Unlike 2017 and 2019, which were marked by impressive product unveiling events for the Semi, next-gen Roadster, Model Y, and Cybertruck, 2020 is poised to be a year where Tesla simply optimizes its operations to such a point that the company becomes sustainably profitable.
Save for 2018, Tesla has adopted the practice of unveiling new vehicles and energy products in a steady stream. This will not be the case this year, since Elon Musk himself has noted following the Cybertruck’s unveiling event that Tesla will not be holding formal vehicle launches for a while. The Model S Plaid is expected to be rolled out later this year, but the vehicle’s launch could be similar to that of the Raven Model S and X — subtle and simple.
Unlike previous years, Tesla will likely not be focusing too much on the rollout of an upcoming vehicle after initial Model Y deliveries are conducted. With the all-electric crossover being manufactured and delivered to customers, Tesla will likely end up focusing its resources on strengthening its core technology, particularly its batteries. This will partly be due to the arrival of three vehicles that are set to be released soon: the Tesla Semi, the next-gen Roadster, and the Cybertruck.
Part of the reason behind the Model Y’s quicker than expected production ramp is due to the vehicle’s similarity to the Model 3. The two midsize EVs share 75% of their parts, which meant that their production process is not too different from each other. Tesla learned a hard lesson with the Model X and the Model S by over-designing the SUV and making it far too different compared to its sedan sibling, which resulted in massive production delays. This lesson appears to have been learned and adopted for the Model Y ramp.

But Tesla’s next three vehicles are not quite as simple as the Model Y in terms of their battery tech and production processes. While the Model Y will likely use the same battery packs as its Model 3 sibling, the Semi, Cybertruck, and new Roadster do not. In fact, due to their specs and features, each of these new vehicles will likely be equipped with batteries that hold Tesla’s best and latest innovations, and they be built on platforms that are new and specifically designed for each vehicle.
The Semi, for example, is a Class 8 long-hauler that has a range of 300-500 miles per charge. Its capability to haul 80,000 pounds of weight on the road is no joke, and the vehicle’s near-sports car performance suggests that the Semi requires a very large battery pack. Tesla has not revealed the size of the batteries in the two Semi prototypes that are undergoing real-world testing today, but speculations from the EV community go as high as 1 MWh due to the truck’s weight. With better battery efficiency, optimized software, and higher energy density in its cells, Tesla may be able to achieve the Semi’s long-range targets without necessarily using as many batteries as a small fleet of Model 3s.
The Cybertruck is not as large as the Semi, but it seems to require some notable battery improvements as well due to its price and specs. A top-tier Cybertruck costs below $70,000, and for that price, Tesla is offering over 500 miles of range per charge. Considering that the all-electric pickup truck is not exactly as sleek as the Model S in terms of aerodynamics, achieving such a range will likely require the all-electric pickup to have a pretty hefty battery. Batteries are usually considered as one of the most expensive parts of an EV, so it would be interesting to see just how low Tesla can push its battery prices down to make a behemoth of an EV go over 500 miles at a sub-$70,000 price.

The next-gen Roadster may only be seeing a production rate of about 10,000 per year, according to Elon Musk, but the vehicle still requires improvements in its batteries to become a definitive “hardcore smackdown to gasoline cars.” This is because the Roadster was announced with a 200-kWh battery pack that provides 620 miles of range. Tesla was at a different place when it announced the next-gen Roadster’s specs. Hence, it would not be a stretch to speculate that the production version of the all-electric supercar will either have a slightly smaller but more energy-dense battery that still provides 620 miles of range, or a 200 kWh battery pack that offers far beyond 1,000 km in one charge.
Tesla’s growth story is usually tied to the company’s release of one best-selling electric vehicle after another. But this year, after the Model Y, Tesla’s growth story will become more of a battery-driven narrative. The company’s battery tech will ultimately determine whether or not the Semi, Cybertruck, and new Roadster will be a success. But if Tesla’s batteries are up for the task, the company’s disruption of the auto industry will likely end up accelerating even more.
What’s pretty interesting to note is that all these potential battery-related breakthroughs also apply towards Tesla’s Energy business, which is rarely even considered by Wall Street when analysts evaluate the company. Every battery-related milestone that is rolled out to the company’s vehicles is also introduced to its energy storage devices. With this in mind, it is not too farfetched to speculate that this year may also end up becoming a renaissance of sorts for Tesla Energy. Part of this push could involve the introduction of slightly smaller but more energy-dense residential batteries and a line of cheaper energy storage units that are just as good as the company’s current products.
This sounds like another disruption in the making.
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.