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Who will forego owning a car when Tesla’s ride-sharing service becomes available?
Picture this: no car payment, no car insurance, no circling the block looking for parking and no depreciation. Foregoing car ownership sounds pretty great. Why is it then that so many Americans insist on having a car? Simply stated: freedom.
Somewhere after the years of public transit, biking many miles or begging your parents for a ride, most of us got our own set of wheels. For some of us, it came in the form of a $900 death trap of a car that shook violently above 55 miles per hour. For others, an uncool but reliable toaster of a car. The car world as we have known it has always meant that unless you live and work in a major city with great public transportation, a personally owned vehicle is about the only convenient way to travel from point A to point B on a regular basis. This is especially true for families. If you’ve never been on a bus or subway with a baby in a stroller, spare yourself the circus. It’s also true depending on exactly which neighborhood you live in, even if you are in a major city. Taxicabs, where available, are far more convenient than public transportation, but certainly aren’t widely available outside of the most densely populated metro areas and at least to me, have always been cost prohibitive to use for any more than a special occasion. To reiterate the point, we all like freedom. And convenience. We like to go where we want to when we want to, without standing on a bus or watching a train timetable.
Ride-sharing services such as Lyft and Uber have upended the traditional taxicab model and, in many markets, undercut the price while providing a superior service. I certainly enjoyed riding in a flawlessly clean Kia Optima Hybrid Saturday night with a chatty and friendly driver far more than the high mileage, stale smelling, yellow Crown Vics that pass as taxis in Philly. The before and after experience are far better as well. Smart phone apps tell you who will be picking you up, in which kind of car, and exactly how far away they are. Cabs still require being flagged down and the joke’s on you when the 5th one passes you by with the “vacant” indicator light in use but passengers in the rear. Afterwards, you get notified that your credit card was charged in some amount that you had already been prepared for. In a taxi, you either pull out cash when you see the ever-surprising sum due or watch the driver give you an attitude for using their in-car credit card machine.
Trends are already developing among young adults to move into thriving urban areas, work nearby and pass up owning their own wheels. A lot of reasons contribute but the ease of using ride-sharing services is certainly one of them. What I’d like to explore here is whether or not this trend will grow – both among young adults as well as others – as autonomous vehicles come to market and bring with them the possibility that ride-sharing services will be even more common and affordable. I offer below a few categories of people and my assessment on whether or not they may give up a car in favor of autonomous vehicle ride-sharing.
TARGET: YOUNG, SINGLE, URBAN DWELLER. ANSWER: YES.
These folks are already the group that are giving up cars today, so surely they’ll continue to do so when that option becomes cheaper and even more widely available.
TARGET: YOUNG, SINGLE, ANYWHERE ELSE DWELLER; ANSWER: PROBABLY.
These folks will share many of attributes of those who forego car ownership today. They will, on average, have student loan debt to tackle and plenty of familiarity with smart phones.
TARGET: TWO ADULT HOUSEHOLD WITH NO KIDS. ANSWER: MAYBE.
This group of folks may be willing to forego one car in the household. Depending on their age and familiarity with today’s ride-sharing offerings, they could be the perfect target to give up one car. This demographic is the one I belong to. Having jobs in opposite directions makes owning two cars the most convenient option, but outside of the work commute, the second car never moves.
TARGET: TWO PARENT FAMILY. ANSWER: PROBABLY NOT.
Children are required to ride in car seats for quite a few years these days. For that reason alone, I would imagine ride-sharing to be more trouble than it’s worth. If, like the two-adult household with no kids one car is solely used as a commuter, that one could probably be given up. But the way I understand today’s modern family to work, either parent has to be ready to spring into action with little notice if daycare gets shut down due to snow or Junior gets sick in school.
TARGET: MATURE ADULTS. ANSWER: HOPEFULLY.
This is where I’d really like to see ride-sharing take off. If you are fortunate enough to make it to old age, your eyes or reflexes may not join you in their youthful form. The mature adults I’ve been close with have all wanted to continue driving beyond the point that in their individual circumstances, was probably wise. I get it. Freedom. When you’re a feisty octogenarian with an old habit of going to the grocery store daily (a holdover for the decades when you hid your smoking habit from everyone) it must be impossible to imagine yourself sans keys. If we can invent these cars, surely we can also invent easy ways of calling one up for a customer who isn’t particularly interested in owning or operating a smart device. (A telephone dialing service, perhaps – especially helpful for those with vision problems.)
AS FOR ME?
I just got done telling my better half that due to his short commute and our never using our second car outside of the work day, we could easily ditch car number two and have him Uber to work. The conversation was short-lived, as I have the longer commute and he has no interest in handing over the Model S fob to me on a permanent basis. In theory though, might it work? Yes. Would I end up doing it? Probably no. I’d be more inclined to owning an autonomous Tesla and letting it work for me such that the overall cost of owning and operating it was comparable to using a ride-sharing service in place of owning one.
The why is simple: freedom.
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.
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
