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Tesla’s Elon Musk hailed as ‘Disruptor of the Year’ in Detroit, but Model 3 misses awards
Tesla might not be a participant in the North American International Auto Show on Monday, but Elon Musk’s presence could still be felt in the event. During the CNET Roadshow Shift Awards, Musk was named as “Disruptor of the Year,” beating out the CEOs of other companies such as McLaren Automotive and Bird, an electric scooter-share startup.
Chris Paukert, executive editor of the auto publication, noted that the Disruptor of the Year award is based on the person who caused the most ripples in the auto industry during the past year. In this sense, there is very little doubt that Musk was the definite choice, considering his well-publicized challenges and successes with the Model 3 ramp, as well as his daring, out-of-the-box strategies that ultimately brought Tesla into the green in Q3.
“This award is all about pushing the industry forward and leaving a lasting impact on the future of the automotive industry. Elon Musk fits that bill to a T. After smoothing out its production process, Tesla once again proved profitable. The Model 3 quickly launched itself to prominence in an already busy segment, and buyers themselves could feel the effects of those launches thanks to its wild Performance variant. Hell, he even made tunnels interesting,” CNET‘s Tim Stevens wrote.
While the auto publication granted Elon Musk an award, though, Tesla’s latest and most disruptive vehicle to date — the Model 3 — was strangely absent from the auto publication’s rankings. CNET Roadshow, for one, awarded the Genesis G70, a car that has received acclaim from critics and consumers alike, as Vehicle of the Year. Finalists for the award were the Jaguar I-Pace and Volvo S60/V60. The award for Cabin Tech of the Year was also granted to Audi’s MMI touch response system, with the finalists being Mercedes-Benz’ MBUX infotainment system and Ram’s Uconnect 12 technology.
That said, Tesla’s technology did make an appearance in the Roadshow Shift Awards’ other categories. Roadshow‘s Driveline Tech of the Year award, for one, was given to Nissan and Infiniti’s variable compression turbo, though finalists included Hyundai’s Kona electric powertrain and Tesla’s all-wheel-drive performance powertrain. Together with GM’s advance trailering system with apps, Tesla’s Navigate on Autopilot update was listed as a finalist in Safest Tech of the Year award as well. Audi’s drive-assistance package, though, ultimately bagged the award for Safety Tech of the Year.
The absence of the Model 3 in the CNET Roadshow Shift Awards is quite notable, considering that the electric sedan has received wide acclaim from professional reviewers, auto veterans like Sandy Munro, and owners alike. Tesla’s UI for its vehicles, which the company develops in-house, is also among the best in the market, with the system at times being compared to Apple’s iOS. As such, it is quite interesting to see Tesla be beaten by legacy auto in areas where it otherwise excels, such as cabin tech.
That said, it’s not like the Tesla Model 3 is being ignored by legacy auto either. Late last month, for example, 30-year auto news veteran and longtime car enthusiast Henry Payne dubbed the Tesla Model 3 as The Detroit News‘ 2018 Car of the Year. This was despite Payne only experiencing the capabilities of a Long Range RWD Model 3, a tamer version of the electric car compared to the range-topping, track-optimized Model 3 Performance. Following the Tesla Model 3 were the Ford Ranger and the Chevy Corvette ZR1, which were listed as the 2nd and 1st runner up for The Detroit News‘ 2018 Car of the Year award.
The past year has been notably impressive for the Model 3. Over 2018, 145,846 Model 3 were sold, despite Tesla being challenged with the electric sedan’s production during Q1 and Q2. With these sales figures, the Model 3 became the United States’ best-selling luxury vehicle, far overtaking its closest rival — the Lexus RX, which sold 111,641 in 2018. Tesla is not done, either, as the company intends to continue the electric sedan’s ramp all the way to 10,000 units per week.
It should be noted that the Model 3 has been showing these impressive numbers despite the vehicle only being available in the United States and Canada. This year, Tesla intends to bring the car to the international stage, starting with Europe and China, both of which represent a potentially lucrative market for the electric sedan. Tesla for one, is reportedly shipping 3,000 Model 3 per week to the European region starting in February. In China, Model 3 reservation holders who have configured their vehicles are expecting deliveries on March or April. By the end of the year, Tesla is set to roll out more affordable versions of the electric sedan to the local Chinese market, thanks to the vehicle production capabilities of Gigafactory 3.
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
