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Tesla Cybertruck’s biggest rival is poised for a delay, and GM’s stance against CA’s standards isn’t helping

(Credit: Tesla)

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The Tesla Cybertruck will meet several competitors when it enters the market. There’s the Rivian R1T pickup truck, a luxury vehicle designed for the outdoors. There’s the Ford F-150 Electric, the EV version of America’s most popular pickup truck. But perhaps the Cybertruck’s biggest rival, both in terms of literal size and specs, is GM’s Hummer EV, a vehicle that represents the antithesis of Tesla’s exoskeleton-clad monster. 

The GMC Hummer EV and the Tesla Cybertruck come from very different backgrounds. The Cybertruck is what happens when Tesla is unrestrained, and it is unashamedly different in its design and features. The Hummer EV, on the other hand, is a redemption of sorts for GM, as the emergence of the massive, gas-guzzling original Hummer marked one of the nails in the coffin of the veteran automaker’s controversial EV1 electric car. 

The Hummer EV has garnered a lot of attention, and it is set for a reveal this May 20. However, the coronavirus pandemic may put a damper on the upcoming vehicle’s official unveiling. With social distancing rules pretty much negating the possibility of a launch event for the truck, sources familiar with the matter have told motoring publication CarBuzz that the Hummer EV’s unveiling will be rescheduled. This is not surprising at all considering the circumstances that have arisen from the pandemic, but it is unfortunate, nonetheless. 

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This potential delay could cost the Hummer EV a lot of momentum. The vehicle is already entering the all-electric pickup market pretty late, with companies like Rivian and Tesla already poised to release their trucks in the next year or so. Furthermore, the Hummer EV is riding a wave of momentum that resulted from GM’s clever teasers in recent months. Any delays in the vehicle’s unveiling might then result in waning interest from the EV community. 

This is bitter pill to swallow for GM, especially since leaked production plans from the automaker have revealed that much of its commitments to electrification are not very serious at all. As indicated by production plans accessed by Reuters, both GM and Ford still intend to adopt a strategy that is heavily skewed towards the internal combustion engine for the next few years. This is despite CEO Mary Barra arguing that GM is dead serious about electrification. 

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But perhaps the biggest blow to the Hummer EV yet is coming from GM’s standing among car buyers. Earlier this year, GM, together with Toyota and Fiat Chrysler, decided to side with US President Donald Trump in his efforts to revoke California’s higher emissions standards. This promptly resulted in losses for GM, with CA banning the use of the company’s vehicles for its fleet. But it doesn’t end there. 

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According to the findings of a poll conducted by Matt George Associates for the Union of Concerned Scientists (UCS), GM’s decision to stand against California’s emissions standards has adversely affected its standing among car buyers. Out of the 1,000 owners surveyed, 51% who initially stated that they would “definitely purchase” another GM vehicle in the future decided to change their minds after learning of the company’s anti-emissions standards stance. GM’s favorability among buyers also saw a steep drop from 93% to just 44%. 

These sentiments from the car buying public are the last thing that the Hummer EV needs to be a success. Using the Hummer, a vehicle that is traditionally perceived as the very representation of excess, as an entry into the electric truck market, is a bold move for GM. But successful bold moves usually involve a lot of delicate pieces lining up perfectly enough. Unfortunately for GM, the delays in the Hummer EV’s launch, coupled with negative sentiments against the company, may very well derail the all-electric truck even before its arrival.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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