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Electric pickup buyers hold multiple reservations as delivery date uncertainty looms: survey
With so many electric pickups set to hit the market in the coming years, consumers are playing their hands by holding reservations on multiple EV trucks due to the uncertainty of when they might be delivered.
A new survey from Recurrent shows that “about 89% of Tesla Cybertruck reservations overlap with another truck pre-order, and 100% of Ford F-150 and Chevrolet Silverado reservations also pre-ordered another vehicle on this list. ”
It is no secret a major focus of many electric automakers in 2021 and 2022 was the EV pickup. With trucks being such a popular body style in the United States and elsewhere, companies were fending to offer the first EV pickup, but also the most effective one. While Rivian’s R1T was the first electric pickup on the market, the GMC Hummer EV joined the list shortly after. However, notable newcomers and worthy opponents are coming, as the Tesla Cybertruck and Chevrolet Silverado EV are both expected to hit production lines in the next year. A breakdown of how many reservations each truck has, and how prospective EV truck buyers are playing their multiple pre-orders, shows the anticipation for the emergence of the electric pickup market.
“We knew that 2022 would be the year of the electric truck, and the year has not disappointed us, at least as far as pre-orders go,” Scott Case, CEO and co-founder of Recurrent, said. “But I’m also taking pre-order number claims by manufacturers with a grain of salt, because clearly not all of those orders are solid. Shoppers should not be scared off by long pre-order waits if they know the vehicle you want.”
It has been reported on numerous occasions that the Tesla Cybertruck has accumulated a massive number of pre-orders: 1.27 million+, according to Recurrent’s research. The F-150 Lightning is second with 200,000 pre-orders, and the Rivian R1T and R1S and Hummer EV have 90,000 and 65,000, respectively.
However, the breakdown of how these pre-orders are being played is most interesting. Recurrent surveyed over 200 EV shoppers in a partnership with AAA Washington to see what EVs buyers have pre-ordered and which they intend to actually purchase. The research showed that Tesla vehicles have 100 percent order fulfillment, while other vehicles, like the Chevy Silverado EV, only had a 20 percent fulfillment rate.
“In the case of Tesla, there is a non-refundable order fee that may weed out some impulsive reservations, as well as the knowledge that the market is hot enough to resell your order before you even take delivery,” the study said. Recurrent attributed the outliers above to three factors:
- Uncertainty on delivery time – or delivery at all – may cause some shoppers to modulate their enthusiasm for certain vehicles. Of course, the Tesla Cybertruck, with its seemingly infinite production delays, comes to mind here.
- Refundable reservations mean that customers can express interest in many cars and make the decision when they see when, and what, they can actually drive off in.
- With all the buzz around electric vehicles, manufacturers may be incentivized to make reservations easy for shoppers in order to pump up their numbers, even if these reservations don’t all turn into sales
In general, however, EV truck buyers are more likely to have multiple reservations. Recurrent says the strategy of over-ordering allows buyers to keep their options open, especially as production and delivery dates have not yet been solidified by the manufacturers, which gives the reservations holders more time to analyze their decisions. However, 89 percent of Cybertruck reservations overlap with another EV truck order, while 100 percent of Ford F-150 Lightning and Chevy Silverado EV orders are paired with another vehicle on the list Recurrent put together.
Credit: Recurrent
Additionally, the study found that Tesla brand loyalty runs deep. “Recurrent found that many families have gone all-in on Tesla. Around 50% of those who have reserved both a Telsa Cyber Truck and a Tesla car model plan to redeem both,” it said.
Tesla reservations do not seem to overlap with other brands, which would align with the company’s history of brand loyalty. “If you’ve reserved a Ford F-150, Rivian, or Chevy Silverado, chances are good that you may also have reserved a Tesla Cybertruck,” Recurrent’s study added. “But, if you’re interested in any of the new, non-truck options on this list, there is virtually no overlap with the Tesla brand. There is a clear chasm between non-Tesla cars and Tesla reservations.”
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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
