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Tesla’s ride-hailing services: which U.S. cities will see them first?

Credit: Tesla

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Many in the Tesla and electric vehicle (EV) community have eagerly awaited the company’s rollout of a driverless ride-hailing service, and a few recent developments suggest that the company may be considering multiple U.S. cities for early pilot programs.

Tesla is in talks with Austin, Texas officials about rolling out early pilot programs for its self-driving robotaxis as early as next year, as reported by Bloomberg earlier this month, and echoing CEO Elon Musk’s previous aims to launch commercial robotaxis in 2025. As detailed in emails acquired by the publication through public record requests, a Tesla employee has already been discussing the deployment of such fleets since at least May, though the company has also been considering pilot deployment in other Texas cities.

“Tesla is still working to strategically find a city within Texas to deploy… The city of Austin is obviously on our roadmap, but has not yet been decided where we will deploy first as we have many options available,” wrote an employee in one email from November.

The report also said that Tesla reached out to the city of Austin ahead of its October 10 “We, Robot” event, during which it unveiled the Cybercab, and the employee expressed hopes to meet safety expectations in the city of Austin, along with training first responders on how to interact with autonomous vehicles.

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Earlier this month, Tesla held an event at its Gigafactory in Austin to help train first responders on its autonomous vehicle technology, though the employee said it wouldn’t yet be used on public roads and would let officials know of any changes to that.

Tesla’s initial ride-hailing pilots could also target California, with internal tests already underway

During the company’s Q3 earnings call in October, Elon Musk also said that employees in the Bay Area, California were already testing ride-hailing services internally. Using the company’s development app, Tesla employees can already request rides and be taken to anywhere in the Bay, according to the CEO.

Both Texas and California cities make sense for Tesla’s initial rollout of commercial robotaxi services, especially given that Musk also said the company aims to debut ride-hailing services and “Unsupervised” Full Self-Driving (FSD) approval in both of these states in 2025, dependent upon regulatory approval. Musk also said that the current internal ride-hailing tests in the Bay Area utilize safety drivers initially, though it isn’t required to do so.

Watch Tesla’s FSD v13.2 navigate away from park in a tricky situation

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READ MORE: Tesla is ramping its Cybercab testing sessions at Giga Texas

Earlier this month, a Deutsche Bank report noted that Head of Investor Relations Travis Axelrod said also said Tesla plans to utilize teleoperation during initial rollout of autonomous ride-hailing efforts, as a safety and redundancy measure. This will likely play a role wherever the company first deploys commercial ride-hailing efforts.

Tesla also teased a ride-hailing mobile app in its Q1 Shareholder Deck earlier this year, showing a summon button to order ride-hails, an estimated wait time, climate controls for during the ride, navigation details, and even the ability to select and cycle through music or other media options.

Credit: Tesla

The mobile app avatar showed a Model Y, highlighting the ability for Tesla’s other vehicles to be eligible for ride-hailing operations through the Supervised Full Self-Driving (FSD) program, which is available to any owner who purchases the software through a subscription or one-time purchase.

Tesla Cybercab, Waymo and commercial robotaxis

We also learned in October that the Cybercab features a large touchscreen, in addition to excluding a steering wheel or pedals. You can catch our first ride in the Cybercab below, as captured during Tesla’s October 10 “We, Robot” event in Southern California.

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Both Texas and California make sense as locations Tesla would deploy early ride-hailing services, especially given its Fremont factory, Palo Alto engineering headquarters, and its competitor Waymo, which already operates paid driverless ride-hailing in San Francisco and Los Angeles.

Although Tesla isn’t expected to enter production with the Cybercab until 2026, the company’s other vehicles could be used to operate commercial self-driving at some point, though it also faces multiple competitors aiming to deploy these services.

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Meanwhile, Waymo, the commercial robotaxi company backed by Google parent company Alphabet, has already been operating paid driverless ride-hailing in San Francisco since last year, and it has expanded services to Los Angeles, and Phoenix, Arizona throughout this year. This week, the company said it’s now giving over 150,000 paid driverless rides per week.

Amazon owns the driverless ride-hailing company Zoox, which has recently also gained some ground in deploying commercial self-driving ride-hailing vehicles in the Bay Area.

With General Motors (GM) recently announcing the end of its self-driving arm Cruise, one less future competitor remains for Tesla in the commercial robotaxi space. Musk joining the administration of incoming President Donald Trump is also widely expected to accelerate regulation efforts in the rollout of self-driving technology, though the urgency of the emerging market is quickly becoming clearer.

Still, Musk and Tesla supporters have argued that the company’s FSD will be more scalable than companies like Waymo utilizing geo-mapping efforts, due to its AI neural network model being trained on video footage from real-time drivers across the company’s ownership network. With added safety measures like teleoperation and safety drivers in its early rollout of commercial robotaxi services, Tesla may yet be able to gain enough public and regulatory trust to start deploying these services in the coming months.

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What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Waymo leads robotaxi industry, at least for now

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla and driver sued by family of woman killed in Texas crash: what we know

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Credit: CNBC

Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.

The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.

Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.

Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.

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Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.

The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”

This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.

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More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.

We look forward to more details being released with time.

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Cybertruck

Tesla Cybertruck is officially the safest pickup, IIHS says

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Credit: Tesla

The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.

The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.

These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.

It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.

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The Cybertruck avoided every single pedestrian collision, including:

  • Daytime child crossing
  • Nightitime adult crossing
  • Night parallel adult

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In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS

Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.

Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.

Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.

Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.

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Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.

The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.

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Elon Musk

SpaceX’s newest Starmind will make earth data centers obsolete

Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.

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Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites

It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.

SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.

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Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.

SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.

The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.

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