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Tesla ride-sharing program: exploring its practicality and real world benefits
Many of the Tesla faithful sat with bated breaths waiting for the Master Plan Part 2 to be published. Once it did, we devoured every word, with some words more surprising than others. Making a pickup truck, while not surprising is thought-provoking. Ride-sharing as a concept, also not very surprising. Ride-sharing using the autonomously driven car that you personally own? Now there’s something to think about.
“In cities where demand exceeds the supply of customer-owned cars, Tesla will operate its own fleet, ensuring you can always hail a ride from us no matter where you are.” – Elon Musk
Let’s consider for a moment what this might look like.
Practicality
My initial thought of an autonomous Tesla was ride-sharing within the same household. My spouse and I have jobs that are in opposite directions, but we also work different hours with him having the far shorter commute. That being said, it would technically be feasible for a car to drop me off at work and make it back home just in time to take him. Then, it would have plenty of time to come back to me before my work day is done. Driving me home would also be tight – but I think the car would make it just in time to drop me off and go grab him. (Anyone else getting wide-eyed at the thought of a car driving you around? I sure am!) The only downside that I can think of is that both of us, at times, like to run errands on a lunch break. Surely with a little planning we could just schedule who will have the car available mid day. For example, on his day the car wouldn’t come back to get me until later in the day. Should I need to use it, it could come back to me earlier. All of this sounds technically feasible but the miles would add up quickly. Over 90 miles a day, to be exact; double what we currently drive combined. This may be obvious, since the car is making each round trip twice, but on paper that distance really hits home. As for cost, our electricity use at home would clearly go up. What would go down, however, is the cost associated with having a second car. I only estimate that the Tesla costs us $50/month to power now but even if it went up to $150, that delta is far less than the savings associated with not having a second car to insure and maintain. (Let alone pay to own/lease, depending on how expensive a car you’d be giving up.)
In this regard, I see practicality as a wash. If technically feasible with your schedule as it would be with ours, it may work. Getting past the mental barrier of having only one car between two adults who drive and work full time however, may be a challenge. Tesla has shifted thinking in many ways already, so it’s possible this will as well. I keep trying to think of reasons why we need two cars but aside from our daily jobs, which a car that can drive us to negates, all I’m coming up with is the rare occasion where we both need to go somewhere different at the same time. Truth be told, I’m sure even that could be worked out in most cases. In those where it can’t? Summon up another autonomous Tesla to drive you where you need to be. Again, this comes with a cost but again, it pales in comparison to the cost to own a second car that spends over 90% of its life parked anyway.
Public Domain
Most Tesla owners I know treat their cars with extreme care. I am no exception. The thought of a stranger taking up residence in my car without me sends shivers down my spine. I guess there is only so much damage a person could do sitting in the back seat being chauffeured, presumably while staring down at their smart phone to pass the time. The after 2am crowd, on the other hand, poses additional risks but I for one wouldn’t send my car out that late. A sick passenger is one danger, sharing the road with impaired drivers in (gasp!) manual driving mode is another. How do you specify who is eligible for pick up anyway? Imagine the headline “Tesla picks up prison escapee and drives it across the state line.” Add in your fear here (underage runaway, woman in labor, very sweaty marathon runner.)
Battery expert Jeff Dahn inside the frunk of a red Model S [Source: dal.ca]
Availability
This is the main point I’ve heard brought up in my quick chats about this topic. How do you schedule your car to go off and pick people up within a strict window until you need it again? How does traffic play a part? Do you wait until you’re home for the evening and send it out, knowing full well it’ll definitely make it home by the next morning? Or do you risk letting it take a 4pm pickup when doing so could leave you stranded at the office? How far would you let your car go anyway? What about charge? You might need a certain range to get home so can you restrict your car’s pickup jobs to a certain distance? What if it’s cold outside?
In this regard, I have a lot more questions than answers. I have no interest in my car being late to bring me to or from work. It’s my car after all. I have even less interest in being picked up without enough range to get me where I’m going. I live in a major city and I don’t expect to see a Supercharger within our limits any time soon. There are now chargers within 100 miles of me in all major directions, which very easily enables long distance travel as intended. I’m happy with this, as I certainly don’t find myself needing a fast charge close to home. If I plan on letting my car work all day however, that may change. Letting it go home and plug in is impractical at the current rate of my charging setup. 29 miles per hour doesn’t speak well to quick turnaround.
Cost
All of the questions above can be overlooked for a price. The big question is what that price might be. In my own life, I wouldn’t entertain the idea if it made me $100 per month. If it made me $1,000, I’d be the first in line to sign up. Everyone has a different sensitivity to price but I’d be willing to bet that even the least price sensitive people would at least consider using their Tesla in this way if the resulting income matched or exceeded their car payment. Getting to own and drive what I consider the world’s best car for no monthly payment is an offer that’d be too hard to refuse.
Those were just arbitrary numbers though. What might be realistic? I’d like to think that tomorrow’s Tesla is comparable to today’s Uber Black. My Uber app only gives prices for Uber X but I know that Black costs more. At this very moment, a quick ride from my work place to the very center of our downtown is $12 on Uber X. Let’s estimate that it would be $20 for Black. In fact, let’s assume the average ride would net $20. The car would certainly be smart enough to try to do another pickup on the way back to me so I can probably count on $40 as a “round trip” made during my work day. If I let the car drive two round trips on Friday and Saturday nights as well as one each work day, that bring us up to 9 round trips per week, or $360. Already, this isn’t sounding so bad. Let’s scale that down due to some Tesla profit and market saturation. It still seems very reasonable that with little time commitment, $200 per week is reasonable. We’re at $860 per month. If you, like me, go out into a city once or twice a month yourself and spend anywhere from $10-30 in parking or cab rides, you could be earning/saving a combined $900 each month. I suppose I just learned that yes, I’d probably consider letting my car go out and work for me. Even at half the dollars I’m picturing, a Model 3 payment would be covered.
Convenience
Airports. Nights out drinking. Events out of town that force a one night hotel stay. Finding parking in crowded places. Paying for parking at concert or sports venues. These are some of the most popular reasons people today might use ride sharing services even if they have a car. It would sure be convenient if your own car could handle these occasions for you. This, I know, has more to do with autonomy than making the decision to allow your car to work for you. But it’s only a small leap from one to the other. I say this because if my car dropped me off at an Eagles game, I wouldn’t want it paying for parking while it waits. I’d want it headed back home, because that’s a safe place for it to wait. But if it’s going to driving alone anyway, why not pick someone up? It’ll be an exceptionally convenient life when cars can drive for us.
Implementation
How might a program like this actually work? Given a very elementary level of consideration, I imagine the same way Uber works now. I picture a beautiful and streamlined app interface on your smart phone that allows you to log in when you want the car to be able to drive. I imagine the ability to draw a border around the distance you’re willing to let your car travel, as well as the ability to set a time that the car has to return by. Many people far smarter than I will program fantastic algorithms that only allow the car to accept rides that, given traffic and other factors, will get the car back within its allowable time window. I also picture the ability to send the car out with a child’s car seat, if summoned. That would require a bit of interaction, as the app would have to notify you to install it first unless you leave one installed. Speaking of app, I imagine it would notify you that it’s about to head out. (“Mom! I’m going out for a bit. Be back in an hour!”)
Supercharger map with crowdsourced recommendations from Tesla owners
Challenges
Much like I expect to be challenging for vehicle autonomy in general, the regulatory nightmare that is a driver-less vehicle will be the biggest hurdle to jump, in my humble opinion. Those aforementioned people way smarter than I? They’ll figure out programming the self driving technology sooner than later. They’ve already done a lot. Those perhaps-not-as-smart people we elect to office? Those folks I’m not too confidant in. Well, not them per say. The big jumbled mess of a political system that in the United States and so many other places churns out rules based on the almighty dollar rather than the good of citizens. Right here in my own home town, Uber is technically not legal. It’s legal in the state, just not the city, which has a cluster of a Parking Authority that somehow controls taxis. Except, by the way, when the Democratic National Convention came to town around the same time our local train system was having problems. Then the city made a special exception to “let” Uber operate. (Spoiler alert: it operates anyway.) My point is to illustrate that all the engineering and data in the world won’t guarantee that Tesla will even be allowed to operate driver-less ride sharing services as quickly as the technology itself will be available. That to me, is challenge numero uno.
The technology itself though, still has a lot of work ahead. Just like any parent tells their teenage driver “It’s not you, it’s the other cars on the road I’m worried about.” A Tesla can be a flawless driver 100% of the time on empty roads and that still won’t even come close to accurately predicting how it will drive when sharing the roads with distracted drivers, well-meaning drivers in poor weather conditions, and anything in between. Temporary lane restrictions are hard to compute, as is seeing a car that you just know is going to make a move without a signal. Years of driving experience allows people to read another car’s “body language” so to speak. Will a car ever be able to do the same?
An extension on the both of the topics above, I can only imagine the bureaucratic and technological nightmare that will result if (when!) cars have to learn to talk to each other. Surely that’s where we are headed. It’d be safer that way. But can you see BMW, who I suspect is a little hurt right now, cooperating with Tesla? I can’t but I hope they’ll have no choice. Step up or step aside.
Production vs. demand is another potential challenge. If the ability to buy a car and have it work for you to the tune of effectively negating your payment arrives sooner than Tesla exponentially increases its output of cars, we’ll have a problem. Maybe I’m biased, but I assume a darn lot of people would jump at the chance of driving a car that pays for itself. I mean, I wasn’t wrong when I called myself crazy for assuming there would be 50-100,000 people would put in reservations for a Model 3. Well, I was wrong, but in the right direction.
What do you envision ride-sharing capability looking like? What challenges will it face? Drop me a comment.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
