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.
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Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
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