Update: Lede paragraph date revised to Thursday to reflect accuracy.
Hertz gave several updates on its fleet of Tesla and Polestar all-electric vehicles, which it started offering to customers earlier this year, during its Earnings Call for Q2 2022 held on Thursday.
Hertz expanded its EV offerings to sixteen new cities earlier this month and has experienced widespread success in its EV fleet.
Initial Order of 100,000 Teslas
Hertz initially ordered 100,000 Tesla Model 3 and Model Y vehicles in October 2021. The move was Hertz’s introduction into EV adoption, which has expanded to other automakers, including Polestar, who announced a 65,000 unit deal with the rental agency just months later. The 100,000 vehicle deal was not offered at a discount. However, Hertz has maintained that its adoption of Teslas has resulted in a dramatic spike in interest from renters.
“With respect to EV specifically, over 15,000 Uber drivers to date have rented a Tesla from Hertz, at a minimum rate of $334 per week, comprising over half a million transaction days,” company CEO Stephen Scherr said. “Driver feedback has been positive and they remain drawn to the opportunity as gasoline prices remain elevated and demand for the service among Uber customers is strong. Our Tesla’s enabled Uber drivers could differentiate themselves and to improve upon the quality of their riders experience, and that translates into higher earnings for them.”
20,000 Teslas and Polestar EVs Delivered
Hertz detailed on the call that it has accepted around 20,000 electric vehicles in its fleet since it started taking deliveries of its various EVs. Scherr continued that deliveries are ongoing.
Maintenance Reductions
Electric vehicles are most often noted for their drastic reductions in service compared to combustion engine vehicles, which results in more savings over the lifespan of the car due to fewer moving parts. Hertz is learning that lesson pretty easily, according to Scherr, who stated the company is seeing a roughly 50 to 60 percent decrease in maintenance costs:
“On maintenance, I think Kenny said to you, we are running kind of 50% to 60% of what maintenance costs are on ICE vehicles. That’s roughly in line with where we are. If there’s anyone surprised, it’s probably a slightly higher expense on tires, but not much more, and that’s embedded in the figure I’m giving you. So I would say, overall, we are very pleased with the results. They’re coming in roughly in line with what we thought when we first underwrote the move in this strategic direction.”
Additionally, Kenny Cheung, Hertz’s CFO, also commented on the maintenance cost reductions:
“As for the primary drivers of the year-on-year increase, we experienced higher cost and transportation and fuel, reflecting the effect of broader inflationary trends as well as in maintenance on order fleet. We expect maintenance expenses to moderate as our fleet continues to grow younger. On the forward, we anticipate additional operating leverage as more expensive third-party labor strategically replaced with Hertz employees and we further reduced maintenance expense as we rejuvenate the fleet and continue to grow our number of EVs.”
Return Customers
Scherr said that customers seem to be more interested in renting Teslas over and over again, which has translated to an increase in repeat clients for the company. “I think we have schooled our customers on how to use them, so much so that I think there’s an embedded tether there,” he said, referring to Tesla’s key card. “They’re coming back to use the car and rent the car more frequently. And I think all of those are expressions of the first mover edge that we have around EVs.”
Consumers may be hesitant to try a new, technologically-advanced product, especially when dealing with a car. However, it seems that once Hertz’s rental clients make the jump to try an EV, they’re much more likely to come back simply because of the ease of access and features.
Less Vehicle Depreciation
Company executives also stated that the depreciation of EVs in their rental fleet is moving at a slower pace than its ICE vehicles. Cheung said that the performance of the EV fleet early on has the company “more confident” in the economics of the BEVs compared to their ICE offerings.
This is comparable to the scenario that police departments have when purchasing an EV. Initially, the cost of a quality electric vehicle is somewhat higher than an ICE vehicle. Over time, as fuel costs, maintenance, and other costs pile up, the EVs will be more advantageous to Hertz and other adoptees in the books. The cost of savings is exponentially more in an EV compared to an ICE car. This has been proven on several occasions, including with the Westport, Connecticut Police Department.
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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
