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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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
