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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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
