The CEO of ride-sharing platform Uber has shared some of his doubts about Tesla’s ability to effectively execute robotaxi plans for its customers, pointing to the customer service side of the business as well as vehicle owner skepticism about letting strangers into their cars.
Tesla plans to launch a robotaxi platform in October, and CEO Elon Musk has talked at length over the years about hopes that such a platform could let owners’ vehicles work in a ride-sharing capacity while not in use, effectively making them money while driving themselves and ride-share passengers.
On Friday, Uber CEO Dara Khosrowshahi appeared on the Logan Bartlett Show on YouTube to discuss autonomous vehicles, during which he expressed more than a few doubts about Tesla’s robotaxi plans. For one, he says, peak ride-sharing times might coincide with the times owners want to use their own vehicles.
“Probably the times at which you’re going to want your Tesla are probably going to be the same times that ridership is going to be at a peak,” Khosrowshahi said during the interview.
He also notes that he doesn’t think society is prepared for self-driving vehicles, even if they are getting closer to goals of becoming safer than human drivers.
“Logic would dictate that if robots are twice as good a driver or three times as good as drivers as humans, that’s good for society going forward, but I honestly don’t know if society’s ready to accept that,” Khosrowshahi said.
The Uber CEO also talked about the business changes that Tesla would need to invest in to successfully build such a platform, and he noted how different he believes the ride-sharing and vehicle-building businesses really are.
“It’s a really, really different business you know, as well as talking about hardware, to build a $20,000 or $50,000 piece of hardware from driving over 30 million transactions every day that on a revenue basis you make $2 off of,” he added. “It’s just a very, very different business.”
Khosrowshahi also goes on to highlight the extra platforms that companies have to create to accommodate things that can go wrong in a ride-sharing vehicle, from people getting sick and wanting to pay with cash to those losing items in their ride-share, accidents, and more.
Unsurprisingly, he notes that it might be worthwhile for Tesla to partner with ride-sharing services like Uber in the future instead of developing its own, noting that he thinks the automaker could benefit from partnering with Uber.
“It’s taken us 15 years. It’s taken us tens of billions of dollars of capital, and we can provide that instantly to a partner,” Khosrowshahi added. “Hopefully, Tesla will be one of those partners.”
You can see the full interview with Uber CEO Dara Khosrowshahi below, as hosted by the Logan Bartlett show.
To be sure, Tesla has already teased a mobile platform it has been building for its robotaxi plans, and it has been developing its Full Self-Driving (FSD) Supervised for the past several years through testing and training from drivers that have purchased the software.
Other companies like Waymo and Cruise have also been working on their own driverless ride-hailing solutions, with the former already offering paid rides in select areas for the service. Despite this, Musk has previously highlighted that he thinks these companies will have a lot more trouble scaling these services, due to their requirements of high-density mapping of specific serviceable areas.
These, Musk says, are unlike FSD, which can theoretically be used just about anywhere due to its camera-based system and continuously-trained neural network. It’s worth noting that Tesla’s FSD still requires supervision, hence the name FSD “Supervised,” and it isn’t exactly clear just yet when the company expects to launch unsupervised versions of the software.
Although Tesla was originally supposed to hold its robotaxi unveiling event this month, Musk noted that the delayed event would allow the company to make some important changes and allow it to show off additional features.
“Requested what I think is an important design change to the front, and extra time allows us to show off a few other things,” Musk wrote in a post on X last month.
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.
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
