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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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SpaceX reveals Starship Flight 13 launch date

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SpaceX Starship V3 flight 12
SpaceX Starship V3 flight 12 (Credit: SpaceX)

SpaceX is preparing for the 13th integrated flight test of its Starship system, with a targeted launch as early as Thursday, July 16. The 90-minute launch window opens at 5:45 p.m. CT from Starbase in South Texas.

This comes roughly seven weeks after Flight 12 on May 22, underscoring the company’s accelerating pace in its rapid development campaign. The mission will use the latest Starship and Super Heavy V3 vehicles equipped with Raptor 3 engines. Booster 20 will attempt a controlled boostback burn, followed by a splashdown in the Gulf of Mexico, while Ship 40 will follow a suborbital trajectory.

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Key objectives for Flight 13 will include demonstrating reliable stage separation, engine performance under various conditions, and controlled reentry.

A major milestone for Flight 13 is the first deployment of 20 next-generation Starlink V3 satellites. These satellites feature advanced laser links for inter-satellite communication, deployable solar arrays, and onboard cameras, six of which will capture imagery of Starship’s heat shield during flight.

Several heat shield tiles on Ship 40 will be painted white to serve as imaging targets, while additional experiments test upgraded tiles on aft flaps, modified attachments on the aft skirt, and load-sensing tiles to measure stresses. The upper stage will also attempt a single Raptor engine relight in space before a targeted splashdown in the Indian Ocean.

These tests build directly on lessons from Flight 12, which introduced the V3 configuration but encountered issues including a booster flip anomaly during boostback and an engine-out event on the ship. Hardware and software modifications on Booster 20 and Ship 40 aim to improve engine relight reliability, startup sequencing, and overall robustness.

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The short interval between Flights 12 and 13 highlights SpaceX’s iterative approach. Elon Musk has repeatedly emphasized that Starship launches will become “incredibly common” in the coming years.

The company envisions scaling to rates as high as one launch per hour within 4-5 years, potentially enabling thousands of flights annually. Such cadence is essential for Starship’s goals: establishing orbital refueling for lunar and Mars missions, deploying massive satellite constellations, and making life multiplanetary.

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With each flight, Starship edges closer to full reusability and operational maturity. Success on July 16 would mark another step toward routine access to space and the ambitious vision of humanity becoming a spacefaring civilization.

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Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont

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Credit: Tesla

Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.

The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.

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The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”

Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.

The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.

Elon Musk outlines Tesla Optimus production expectations

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This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.

Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.

Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.

Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.

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As one era closes at Fremont, another is rapidly taking shape.

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Elon Musk admits he was ‘clearly wrong’ about Anthropic

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.

In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.

Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.

The tone shifted dramatically from dismissal to acknowledgement of superior performance.

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The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.

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SpaceXAI signs agreement with Anthropic for massive AI supercomputer access

Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”

To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.

Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.

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Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.

These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.

Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.

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