News
Tesla’s win in Michigan marks a point of no return for traditional auto
After resisting Tesla for years, the heart of American auto, Michigan, finally allowed the electric car maker to establish a foothold in the state. It was a hard-fought battle for Tesla, and a victory well worth more than CEO Elon Musk’s one-word celebration on Twitter. But at the same time, Tesla’s settlement with Michigan, which would allow the company to sell and service its cars in the state, marks a point of no return for traditional auto.
It may not be evident now, but from this point on, it will be twice as difficult for states to resist disruptive new EV makers that do not follow a traditional dealership sales model. This means that even other carmakers such as Rivian will likely have a clear path forward in their expansion into the United States’ auto market, absent of the direct sales roadblocks that the Elon Musk-led company has dealt with for years.
Michigan is considered the heart of the US auto industry, and for good reason. The country’s motoring history was written within the state’s borders, and iconic companies that changed the industry, such as Ford, call Michigan their home. Yet, for all its dedication to the car industry, Michigan has also been very resistant to Tesla, preventing the electric car maker from selling its vehicles in the state due to the company’s direct sales strategy.
Tesla’s difficulties in Michigan were a painful reminder that the company’s goal of transitioning the transportation industry towards sustainability would be marred with difficulties left and right, signified by the state’s dealer franchise laws. This is one of the reasons why the company’s settlement with the state is so important. Daniel Crane, a University of Michigan law professor who specializes in antitrust and regulatory issues, explained these points in an interview with Automotive News.
“The handwriting’s on the wall for the franchised dealer as the exclusive way consumers interact with car companies. It’s pretty clear it’d be impossible for the state to deny someone else; it paves the way for any new EV company that doesn’t want to use traditional dealerships.”
“The legacy companies can’t continue forever to use a dealer model from the 1930s. Being required to use only that, I think, is a competitive disadvantage. They’ll have to find a way to get flexibility in their distribution method, or they’ll be left behind,” he said.
The dealer model deserves some recognition, as the United States’ auto industry would likely not have gotten this far without it. Yet in the age of electrification, dealerships, which are known for their flexible pricing strategies and reliance on regular vehicle maintenance, are starting to become outdated. Tesla is the living representation of this, as the company’s cars are priced like tech devices, and its vehicles require far less maintenance compared to internal combustion cars.
One key takeaway from Tesla’s conquest and subsequent victory in Michigan is the fact that the electric car maker is only the first of many. The state has allowed the company to sell and service its cars within its borders, and it will be hard-pressed to not do the same for other automakers. Tesla may be leading the charge, after all, but it is not alone. There’s Rivian, which is also planning on adopting a non-dealership sales model, and more are likely coming. By allowing Tesla to sell and service its cars within the state, Michigan has just accelerated the industry’s transition to sustainability.
Very few may see it now, but through this little settlement with Tesla, the US auto industry may have just passed the proverbial point of no return.
Tesla’s recent settlement with the state of Michigan can be read below.
Tesla-MI-Joint Stipulation and Motion for Entry of Dismissal 1-22-20 679161 7 by Simon Alvarez on Scribd
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
