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Buy Tesla or Build One: Why Apple Should Make a Car
Once Upon a Tesla
First there were the rumors that Apple might buy Tesla. Then came the loose talk about Apple employing an army of engineers to build their own car, many apparently leaving Tesla to join the effort and cashing in nicely. Now the rumors about Apple buying Tesla are back. Really, it’s hard to keep up.
It’s difficult to believe that the closed shop and tight-lipped Apple culture would purposely leak this kind of intel. Was it a disgruntled employee? Perhaps it’s just more difficult to keep a secret these days with Social Media eavesdropping as if it were a fly on the wall. Or, maybe it’s nothing at all.
Disclaimer
I drive a Model S and own TSLA stock. I’m an Apple fan, but don’t own APPL. My first computer was a Macintosh Powerbook 165 Series made in 1993. I still have it and it boots up even today. I’ve purchased a vast number of Apple products over the decades and I can’t think of a brand I’m more invested in than Apple. As an admirer of great design they won me over early on and continue to do so. And, I’ll be one of the first to get my wrist on the Apple Watch in April.
Barriers Were Made to be Broken
The idea of Apple designing and building a car is not new. For years many of us have been playing the game, “What would (fill in the blank) look like if Apple made it?” It’s right up there with the design school project to sketch out the “internet enabled refrigerator.” Apple broke the music barrier, the phone barrier and the design barrier for computers. Tesla broke the electric car barrier and they did it in ten years. They are the Jackie Robinson of the auto industry having flung open the door to electric vehicles while traditional auto makers refused to even seriously try.
Certainly there is some effort out of Detroit and others as of late and they should be applauded for realizing their miss. Mr. Musk’s gift of releasing Tesla’s patents was completely in line with the Tesla Way. I wonder how much of that intellectual property is being incorporated by others? My guess is not much. Companies prefer to take credit for their own innovation and invention; always thinking they can do it better.
Panic in Detroit
The media likes stirring the pot about how BMW is going to eat Tesla’s lunch and GM could put Tesla out of business tomorrow. And how Porsche is developing a “Tesla Fighter.” Today’s electric car activity outside of Tesla would not even be in the blue sky discussions if it weren’t for the success of the Model S. Tesla should not be dismissed as an “ankle biter,” which I would define as a non-threatening annoyance. Tesla is in fact a real threat to the car “smoke stack” industry. Respect Tesla or not, but know they are not going away. They may evolve or merge and it may not always be about cars, but it will likely be about some combination of energy and transportation, built on software and brilliant design.
I make no bold predictions about Tesla’s potential market cap or when Apple will buy Tesla or for how much. That’s not my arena so I will stay in my lane. I agree it’s fun, but the stakes are on an entirely new level here. This activity is about something more important than corporate profits. (I know profits are important. I work in financial services). Tesla is fundamentally about designing and enabling an entirely new future that is more environmentally responsible than the past and better for consumers.
Tesla should inspire our imagination, not make us think about their stock price or how many cars they sold yesterday. Google didn’t think about their stock price when they launched their Autonomous Car project. Newer companies have a distinct advantage in that they don’t need to repack their baggage. When you lack a history it’s easier to make a better future.
It’s fascinating to me that Tesla and potentially Apple have more insight into what the “car of the future” could be than GM, Ford, or Chrysler. Is Silicon Valley the new Detroit?
Why Apple Must try for a Car
The world has become more connected over the last few years. The Internet of Things, powerful wireless connectivity and the transition to internet IPv6 will greatly expand the number of IP addresses that can be supported and makes a fully connected world possible. Apple’s seamless integration of device, content and software has made that world vision believable.
A large touchscreen in a car like the Tesla could emulate your Mac, or iPad, or iPhone screen with shared apps and programs. My iCalendar already synchs with that touchscreen from my iPhone as soon as I open the door. Apple’s software capabilities could take this to fascinating extremes. Music, programs, even Siri are all possible in an Apple Car operating system. Not to mention self-driving cars and the ultimate vision to eliminate collisions.
I believe the challenge for Apple lies in the hardware. A car is not a music player or a phone. No one drives an Apple product. It doesn’t have wheels or doors; nor does it carry precious human cargo. There are very few laws that govern phone safety. No crash tests to pass, or airbags to install. A car is not just a software engineering exercise that needs a shell. It’s a big, complex, and messy manufacturing problem that cannot be outsourced to Foxconn.
Tesla does have amazing software, but it did not, and could not abandon the deeply ingrained culture of what it means to own and drive a car. Tesla’s big robotic engineering science coupled with Apple’s software capabilities would make an unstoppable combination.
Tim Cook tackling transportation is akin to Steve Jobs entering the retail space. It makes perfect sense for Apple and Apple’s vision. Their culture is to be a catalyst for innovation, vision and ultimately forward change. These are arguably the most important attributes for any business or culture.
If Apple is serious about making a car, they can choose their adventure. Buy Tesla, or build it on their own. Either way, I’m excited that we have another bright set of minds at work on disrupting a carbon monopoly. If Apple is now seriously in the game, it’s GM, Ford, Chrysler, BMW, Toyota, Honda, Nissan, BMW, Subaru… who should keep an eye on their lunch.
My One Prediction
Fast forward to 2021. Apple unveils their version of a car. Turns out I do have a prediction after all, and it’s rock solid. Apple will not sell their cars through a dealership network.
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.

