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Opinion: Tesla Autopilot NHTSA investigation headlines are out of control
There is a difference between slant and straight-up inaccuracy. Slant is unavoidable as it typically relies on a writer’s personal biases. Making connections that could be immediately debunked with the slightest modicum of research, however, is completely avoidable. This was exactly the case on Monday as a wave of negative Tesla news emerged following an announcement that the NHTSA is launching a formal investigation on Autopilot over 11 incidents that involved Teslas crashing into parked emergency vehicles.
The NHTSA Investigation
The NHTSA’s ODI Resume was very brief and direct. And while the agency did state that it would be evaluating Autopilot for Model S, Model 3, Model X, and Model Y from model year 2014 to 2021, the NHTSA did note that its investigation would involve 11 incidents in the United States. These incidents resulted in 17 injuries and one fatality.
Tesla prides itself on being a company that focuses intently on the safety of its vehicles, and in this light, investigations that would make systems like Autopilot ultimately safer for the general public would likely be welcomed by the company. Elon Musk, after all, has posted in the past that he agrees with the NHTSA “99.9% of the time.” The Tesla CEO has also specified on Twitter that he thinks the “NHTSA is great.”
If one were to look at the coverage of the investigation in some mainstream media outlets, however, one would think that things are far more dire.
The Coverage and Missing Details
It is true that negative stories attract more eyeballs. This is something that has been true even before the days of online journalism. And in this landscape, a company led by a rebel CEO that no longer issues comments on issues is the perfect target. This could be seen in the headlines that immediately followed the NHTSA” s announcement. CNN’s headline, “Tesla is under investigation because its cars can’t stop hitting emergency vehicles,” is a great example of this. It’s sensationalist and it suggests that the issue being investigated by the NHTSA is something extremely grave. And this is just one outlet.
Other news outlets such as CNBC proceeded to feature Ford former Co-CEO Mark Fields, who proceeded to highlight that the NHTSA’s investigation covers Teslas from a large time period. Persistent Tesla bears were also featured for their take on the news despite their past accuracy on the EV maker.
Interestingly enough, one of the things that were not mentioned much (if at all) in the general coverage of the NHTSA Autopilot investigation was the state of the drivers in some of the incidents. As aggregated by some Tesla watchers online, a good number of the drivers in the 11 crashes were hardly the most attentive. Two incidents were deemed as DUI cases, for example, and one driver had a suspended license. Four cases involved driver inattention, with one incident having a driver who did not have their hands on the wheel for 3 minutes 41 seconds. The other four incidents have no police report readily available.
An Unrelated Incident
On the same day as the NHTSA announced its investigation, a Tesla Model 3 was involved in a car crash at a school parking lot in the UK, injuring six people. It did not take long before Reuters, citing a report from The Telegraph, ran with a headline which read “Six injured as self-driving Tesla crashes in school car park in Southern England – Telegraph.” Such a headline immediately raised red flags, the first being that no Teslas owned by consumers today are “self-driving” cars per se. They have advanced driver-assist features, but those still require constant attention.
This headline grabbed a lot of attention — that much was no surprise. What was unfortunate was that as it became clear that the Tesla involved in the incident could not be a “self-driving” car, Reuters proceeded to issue a retraction on the article, stating that it had updated the story to correct the headline and drop the “self-driving” reference. The publication, however, kept a section of the article which still stated that it remained to be seen if the Tesla that injured six people had a driver behind the wheel at the time of the incident.
The Perfect Target
Tesla is no stranger to negative reporting, and that’s to be expected. Some negative slant from a reporter covering news about the company is pretty understandable, after all. However, it becomes a bit more difficult to justify errors such as those committed by Reuters about the UK incident. Even a little research on the features of a Model 3 in Europe would show that there are no “self-driving” Teslas right now, after all, and narratives which seem to hint at rogue electric cars are ultimately just as fantastical as they are inaccurate.
This may not be Tesla’s first rodeo with false news, but it’s not like there is nothing that could be done. Tesla China, for example, has adopted an assertive external relations and legal campaign that pursues false reporting on Giga Shanghai, and it has worked to great effect. Whether a similar strategy would work in the United States is up for question, but there seems to be few reasons remaining why Tesla should just allow itself to be a punching bag for misinformation without even airing its side.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
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 crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
