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The Tesla MCU1 conundrum: How early FSD adopters were left behind in limbo
When Tesla started selling Full Self-Driving back in 2016, the company was in a far different place than where it is today. Back then, Tesla was not the most valuable carmaker by market cap, nor was it a tried and tested business that no longer needs credits to become profitable on a quarterly basis. Back then, believing in Tesla and its promises for innovative tech was not something that was done lightly.
Back then, it took a leap of faith.
And that was exactly what a number of Tesla Model S and Model X owners did. With Elon Musk and Tesla noting that every vehicle produced at the time had the necessary hardware to achieve autonomous driving, a good number of Model S and Model X owners decided to go all-in on the promise that achieving self-driving was just a matter of software. And if it turns out that it wasn’t, Tesla would ensure that early adopters would get the hardware necessary to make their vehicles on par with the company’s newer, more advanced cars.
This promise has not been granted by Tesla — at least not fully — and a good number of early FSD adopters, who were the first to put their faith in the company and its autonomous driving program, have now found themselves in a limbo of sorts. A limbo that now involves an aging vehicle, a fully paid Full Self-Driving suite, and what is starting to seem like a path to FSD that is blocked by the company’s old MCU1 unit, which happens to be linked to a recall of about 130,000 Model S and Model X earlier this year.
An FSD Limbo
The Tesla Model S and Model X were still fitted with MCU1 units when the company started selling FSD. By this time, Tesla’s reputation as a producer of the best electric vehicles in the market was already established. It was then no surprise that when the company debuted its first FSD demo in 2016, numerous Model S and Model X owners were all too willing to support Tesla.
“I bought my Model S in 2017 based on their advertising claiming that it had the necessary hardware for self-driving. Tesla advertised that I would get true L5 autonomy. (The ad) also stated ‘The person in the driver’s seat is only there for legal reasons. He is not doing anything. The car is driving itself,’” a longtime Tesla owner told Teslarati in a statement. The Model S owner added that he initially purchased Enhanced Autopilot for $5,000, but he later bought FSD for an additional $5,000 last year when Elon Musk noted that he was confident that complete autonomy was on hand.
Tesla is a company built on rapid innovation. Over the years, Tesla has gained a reputation as a carmaker that rolls out improvements as soon as they are available. Unlike traditional automakers that typically wait a year before introducing minor updates to their vehicles, Tesla improves its electric cars through over-the-air software updates. But Tesla had also implemented hardware changes in the past, such as when the company started the rollout of its MCU2 units in March 2018. The company also updated its Autopilot computer from Hardware 2.0 to Hardware 2.5, and later, to Hardware 3.0.
Elon Musk, for his part, has assured FSD buyers that their vehicles would have the necessary hardware when Tesla achieves full autonomy. And to some degree, Musk has stayed true to his word. Owners of older vehicles that purchased FSD were provided a free upgrade to Hardware 3.0. Tesla, however, has introduced its MCU1 to MCU2 retrofit as a paid upgrade. Quite unsurprisingly, some early FSD adopters opted out of the optional infotainment system update. This has proven to be problematic.
Apparent MCU1 Limitations
As Tesla started rolling out more advanced features, vehicles equipped with MCU1 units started getting left out of key functions like Sentry Mode and Tesla Theater. Enhanced driving visualizations were also available only on vehicles that were fitted with MCU2 units. It was over this period that early FSD adopters found themselves steadily getting left behind. New features would be introduced, but they would be focused on MCU2 cars. Software updates were frequently rolled out to the fleet, but not for MCU1 vehicles. This was highlighted by a Tesla Model S 75 owner who purchased FSD, and who shared a photo with Teslarati showing that his vehicle is still running 2020 firmware despite the car stating that its software was up to date.
The Model S 75 owner’s experience is not unique. Over the course of this article’s research, Teslarati has received similar stories from early FSD adopters. A longtime electric vehicle advocate who purchased a Model S 100D with Enhanced Autopilot and Full Self-Driving described his current ownership experience as similar to having a device that is no longer supported.
“In the recent past, I have not even had 2021 firmware update as if my car is already unsupported before all the features promised are delivered. I was hoping to get FSD Beta, but that feature has not been demonstrated for my configuration by anyone, so far and no communication from Tesla on exactly when we can expect our car to participate in this to provide feedback,” the Model S 100D owner wrote.
While Tesla may be quite silent on whether its older MCU1 units are indeed the culprit behind the less-than-stellar ownership experience of FSD’s early adopters, those who have owned multiple Teslas over the years have all but confirmed that the aging component seems to be a key issue. One Tesla owner who shared his story with Teslarati noted that his 2017 Model S — which has FSD and whose infotainment system was upgraded to MCU2 — received the “Request FSD Beta” button just fine, but his 2017 Model X — which is still equipped with an MCU1 unit — did not receive anything at all despite having FSD.
“Now the beta button is finally coming. All the early adopters that paid for FSD were eager to get it. Most people had their computers upgraded by now to the FSD version and were told that is all they needed; it would work fine on MCU1. So the excitement for everyone grew, especially those that had waited the longest. After several delays, the button came. My Model S got the button right away, but it never came for the Model X with MCU1. There was no communication from Tesla at all. No email sent out in advance. All of those people found out through the disappointment of not getting it. Then searching through chat groups, (I discovered) that no one with MCU1 got it. Why can’t Tesla show some respect for these customers and at least communicate in advance?” the veteran Tesla owner told Teslarati.
Transparency and Understanding
One prevalent theme among the early FSD adopters who contacted Teslarati with their stories was the lack of communication on Tesla’s part. This is something that has been reported by longtime Tesla owners for some time now. And while it is understandable that Tesla is juggling a lot of balls in the air as it expands its business to other countries and other segments, having a responsive communications team, or at least investing some of its funds into the creation of one, would definitely not hurt.
Tesla owners, particularly early FSD adopters, are more than willing to be understanding of the company’s plight and challenges, after all. In this sense, Tesla would probably be better off behaving more like a company that truly cares for its customers and less like a traditional automaker that is just looking for the next sale.
Unfortunately, this is something that became a reality for Tesla FSD adopters who purchased vehicles just before March 2018, when the company transitioned its vehicles to MCU2 units. As per a Tesla Model S 75D owner, his order initially had a March 2018 delivery date, but he was encouraged by the company to take an early delivery instead. As a result, he has missed out on numerous features, and he is yet to enjoy some key FSD capabilities that the company has been rolling out as of late.
“I have a December 2017 Model S 75D. I had placed an order for it in mid-December with a delivery date of March 2018. Tesla reached out to me just before the end of the year with a vehicle that someone canceled their order on. If I had known that March 2018 vehicles and not December 2017 vehicles would have MCU2, I would have never accepted the other car. I feel like they misled me on my order.
“I told myself I was okay with it because my original order stated it would be fully capable of FSD. Unfortunately, as years passed, MCU2 vehicles had plenty of extra features, and figured I would eventually get my FSD capabilities anyways. Unfortunately, I am now seeing Model 3, Model Y, and Model S vehicles with orders placed years after me getting capabilities I should have received. Now they are getting FSD Beta, and I am left wondering if I will ever get it with MCU1. I do not wish to spend money on the MCU2 upgrade as they said my vehicle was already capable,” the Model S 75D owner wrote.
What Elon Musk is Pledging Now
Elon Musk has been made aware of the issue surrounding FSD’s early adopters, and most recently, the CEO noted that early production vehicles would require some camera upgrades to get full access to the FSD Beta. Musk noted that the new cameras, just like HW3.0, were included in Full Self-Driving’s price so retrofits are all but assured. Yet even in the CEO’s recent statements, a reference to the complications that are seemingly caused by the company’s aging MCU1 units was absent.
Years ago, these Tesla owners put their faith in Elon Musk and his vision to achieve Full Self-Driving. And they were given a word. This promise has been met to some degree, but not fully. Details such as the absence of MCU2 units are severely hobbling the experience of Tesla owners that quite literally helped fund the development of Tesla’s growth into a mass market manufacturer and a key player in the autonomous driving sphere. And until the company decides to do something for its early FSD adopters, Tesla would continue to have some of its most loyal customers be subjected to a substandard ownership experience.
Early Model S and Model X owners are a small fraction of Tesla’s fleet at this point. The number of owners who purchased FSD and are still stuck with MCU1 units is even smaller. The costs to upgrade these owners’ cars would undoubtedly be substantial, but they would likely be marginal for Tesla in the long run, especially with the way the company has been growing year-over-year. Perhaps Tesla could provide complimentary MCU2 retrofits to early FSD buyers when they get their cameras upgraded for free. By doing so, Elon Musk could prove that he is a man of his own word.
Musk himself said it, after all. He may be late, but he pulls through. Now it’s time to stand by these words. With the rollout of the FSD Beta, Full Self-Driving is closer than ever. Tesla just has to pull through for a group of owners who took that leap of faith when the company announced its intentions to develop a self-driving system.
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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
