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GM’s Mary Barra stands by Cruise’s cautious strategy amid Tesla’s full self-driving push
A recent interview with GM CEO Mary Barra from Axios has provided some of the executive’s insights about full self-driving solutions, competition from Tesla, and the Detroit-based company’s strategy for the deployment of its autonomous driving tech. Barra proved conservative, emphasizing that GM will not deploy its full self-driving suite until it is safer than a human driver.
The emergence of full self-driving technologies is all but inevitable at this point, with companies such as Waymo and electric car makers such as Tesla actively pursuing the development and refinement of autonomous driving solutions. Among the industry’s players, Tesla appears to have the momentum, as the company has the largest amount of real-world driving data gathered from hundreds of thousands of vehicles currently on the road. Augmented by the rollout of Tesla’s custom self-driving computer, Elon Musk has been optimistic with the company’s full self-driving rollout plans. Musk has stated that the company’s FSD suite will be “feature complete” by the end of 2019, and that it will have around a million vehicles capable of being used as autonomous “robotaxis” next year.
When asked by the publication about the competition from Tesla and if it is essential for a company to be the first to deploy an autonomous driving system, the GM CEO response was cautious. “We want to be safe. And so that’s what’s motivating us. We understand this is life-changing technology,” Barra said, later adding that “there are so many different ways that we can improve our customers’ lives by having this technology, not only from a safety, but from a productivity (standpoint), what they can do. But what they do, we want to make sure they do safely.”
Barra’s rather conservative statements in her recent interview feature a rather different tone than her previous forecasts for GM’s full self-driving solutions. Speaking at the Dealbook conference last November, Barra stated that GM was on schedule to deploy its full self-driving technology in 2019. “We’re on track, with our rate of learning, to be able to do that next year,” she said. During her segment, Barra noted that GM had a strategy to show that its vehicles are safer than human drivers. She also mentioned that GM Cruise’s autonomous cars were already capable of running safely at around 30 mph, though the service was limited to a small area.
GM eventually softened its stance on its 2019 target release. In a statement to The Detroit News in April, GM noted that Cruise’s driverless taxi service would be “gated by safety” when it goes get deployed. A report from The Information published this June also suggested that in April, GM Cruise’s full self-driving technology experienced a massive failure in the presence of Honda Motor CEO Takahiro Hachigo, a major investor in the company. During the demo, the vehicle’s autonomous driving system reportedly stopped, forcing the car’s backup driver to take control. The vehicle then refused to reactivate, forcing the Honda CEO to wait until he was picked up by an operational GM Cruise autonomous car.
Amidst these reports, Barra did not commit to a launch date for the company’s driverless vehicle service. Nevertheless, in her Axios interview, Barra stated that she does not regret the company’s aggressive 2019 target. “It’s a rallying cry. And I think it’s been motivational,” she said.
While GM Cruise might have less real-world miles compared to Tesla and Waymo, the self-driving unit of the Detroit-based carmaker has attracted a notable number of investors nonetheless. In its latest fundraising round alone, GM Cruise was valued at $19 billion on its own. That’s quite impressive, considering the company’s progress with its technology so far. Tesla, on the other hand, is valued at $39 billion as of writing, and that covers the company’s electric vehicle and energy storage business, as well as its full self-driving technology. This was addressed in a previous note from Morgan Stanley analyst Adam Jonas, who noted that TSLA investors are “undervaluing” the company’s autonomous driving systems. “We believe investors underappreciate/undervalue Tesla’s Autonomy business. Many investors to whom we speak do not explicitly include Tesla’s Autonomy business in their valuation of the company,” Jonas said.
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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