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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 seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
