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Tesla’s pickup truck and Rivian’s R1T can topple the mighty Ford F-150

(Photo: EV.network, Rivian/Twitter)

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The mighty Ford F-150 might see a legitimate challenge in the near future, if the veteran automaker neglects to prepare adequately for the arrival of two all-electric pickup trucks on the market — the Tesla Truck and the Rivian R1T.  

The disruption of battery-powered pickup trucks was highlighted in a note from Morgan Stanley analyst Adam Jonas on Thursday. Addressing the firm’s investors, the analyst stated that an electric pickup successfully launched by a new player like Tesla or Rivian “could be a serious problem for the Detroit-based traditional automakers.” With the arrival of compelling vehicles, Jonas noted that experienced carmakers like Ford could lose the opportunity to gain a “first mover advantage” in the electric pickup market.

Promising Challengers

The Rivian R1T promises to bring electrification to the luxury adventure industry. (Photo: Rivian)

The Wall St analyst’s points hit the nail on the head, considering that the innate characteristics of electric vehicles such as instant torque and generous towing capacity are factors that are vital to the pickup truck market. The Rivian R1T, for example, is listed with a towing capacity of 11,000 pounds, though CEO RJ Scaringe noted in a recent interview that the truck could tow far beyond its official rating. Thanks to the R1T’s four electric motors, the truck is also able to hit 60 mph in just 3 seconds.

The Tesla Truck, on the other hand, has been mentioned several times by Elon Musk in recent months. Last year, Musk held a Twitter brainstorming session with his social media followers to list down features that are important for pickup truck owners. By the end of the session, Musk noted that the Tesla Truck would have two electric motors and dynamic suspension, a range of 400-500 miles per charge, four-wheel steering, a 240-volt connection for heavy-duty tools, and even an air compressor to run other equipment. Musk also noted that the vehicle could tow as much as 300,000 pounds.

Tesla’s Acid Test

The Tesla Truck imagined in a render. (Photo: EV.network/Twitter)

Anyone skeptical of the potential disruption from an electric vehicle does not need to look very far. Over the past year, Tesla’s Model 3 midsize sedan all but shook the United States’ passenger car market, creeping up on ubiquitous vehicles like the Toyota Camry and dominating in revenue rankings. By the end of 2018, the Model 3 was the US’ best-selling luxury vehicle, despite being a sedan in a market that prefers SUVs and pickup trucks.

With a battery-powered pickup truck that is reasonably priced and well-equipped with features, carmakers such as Tesla and Rivian could challenge even the US auto industry’s biggest sellers, including the Ford F-150. One thing that would be a hindrance to this potential disruption, of course, would be the capability of electric car makers to scale production, especially considering the demand for pickups in the US. In this light, Rivian must still prove itself, since the production of the R1T is yet to begin. Tesla, on the other hand, is already learning the art of mass production, as shown by its growing pains with the Model 3 ramp.

A Way to Maintain the Status Quo

An electric Ford F-150 spotted in the wild. (Photo: Brian Williams)

Despite the upcoming challenge and Wall Street’s recent warning, Ford does have a way to maintain the status quo in the pickup truck market. Last month, Jim Farley, Ford’s president of global markets, announced that the F-series would be going electric. Farley later added that the decision to adopt all-electric and hybrid power is a way to “future-proof” the company’s most successful vehicle line.  

If recent sightings are any indication, it appears that Ford is at least testing an electric prototype of the F-150. As noted in a recent sighting, a camouflaged electric F-150 has been spotted charging at a station. The vehicle looked a lot like a regular truck, save for its charging port and its higher ride height, which appeared to be the result of batteries installed underneath the vehicle. Provided that Ford does not show some ill-timed hubris by giving the electric F-150 mediocre specs and range, the company could very well weather the storm of electric trucks coming its way.

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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.

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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.

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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.

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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.

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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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