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.
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
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.
?: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz
— TESLARATI (@Teslarati) October 11, 2024
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.
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.
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.
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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.”
News
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
