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Rivian’s Amazon EV delivery van will drop packages in 100 cities by end of 2022
Amazon announced this morning that its Rivian Electric Delivery Vans (EDVs) will make deliveries in over 100 cities across the United States by the end of the year. Rivian plans to have EDVs operational in 100,000 U.S. cities by 2030.
Amazon and Rivian have collaborated on sustainable electric delivery vehicles since 2019, with pilot deliveries occurring over the past year. The pilot program accumulated over 90,000 miles of real-world testing and resulted in 430,000 package deliveries.
Rivian’s electric Amazon Delivery Van starts deliveries in San Francisco as testing continues
Finally, deliveries in production models of the Rivian EDV are set to expand to over 100 cities in the U.S. by the end of the year, including Baltimore, Chicago, Dallas, Kansas City, Nashville, Phoenix, San Diego, Seattle, and St. Louis, among other cities,” the e-commerce giant said. “This rollout is just the beginning of what is expected to be thousands of Amazon’s custom electric delivery vehicles in more than 100 cities by the end of this year—and 100,000 across the U.S. by 2030.”
Amazon ordered 100,000 Rivian EDVs in its initial order and has stood behind the EV startup in alignment with its Climate Pledge – a commitment to reach net-zero carbon across our operations by 2040. The Rivian vans, along with more sustainable packaging, helps Amazon decarbonize its last-mile logistics.
“Fighting the effects of climate change requires constant innovation and action, and Amazon is partnering with companies who share our passion for inventing new ways to minimize our impact on the environment. Rivian has been an excellent partner in that mission, and we’re excited to see our first custom electric delivery vehicles on the road,” Andy Jassy, CEO of Amazon, said. “Today marks a significant milestone in our Climate Pledge commitment. Rivian was one of the first companies Amazon invested in through the Climate Pledge Fund, and we’re just getting started on our journey to have 100,000 of Rivian’s vehicles on the road by 2030. And, in addition to being sustainable, these new vehicles are also great for drivers—they were designed with driver input and feedback along the way, and they’re among the safest and most comfortable delivery vehicles on the road today.”
Rivian builds its vehicles in Normal, Illinois. Along with the EDV, it builds the R1T, an all-electric truck, and R1S, an all-electric SUV.
“Today represents an important step, not just for Amazon and Rivian as partners, but also for transportation and the environment,” RJ Scaringe said, CEO of Rivian. “In 2019, Rivian and Amazon committed to fast-tracking a new type of delivery vehicle that would result in a significant reduction of carbon emissions. Thanks to our teams’ dedication, hard work and collaboration, and a shared commitment to make the world a better place for our kids’ kids, that vision is now being realized. To say this is an exciting moment is an understatement—we’re thrilled to see this partnership has kickstarted decarbonization projects across the logistics delivery industry.”
The Rivian EDV is also set to transition to an LFP battery pack as it fits commercial applications well and can be built at a cheaper cost. Along with that, our standard battery pack is leveraging LFP and LFP chemistry, and that chemistry not only allows us to offer that pack at a lower cost, but it really fits commercial applications well. And it’s first going to be launched in the commercial vehicle platform later this year, and then will make its way into our consumer vehicles by late 2023,” Scaringe said during the Q4 2021 Earnings Call.
Rivian hits EV Startup road bumps
Rivian has been a subject of normal EV startup road bumps in recent memory, becoming one of many companies to cut its employee headcount. Additionally, the company has struggled with margins and profitability early, which is expected. However, the automaker adjusted its 2022 production guidance earlier this year from 40,000 units to just 25,000. Rivian reaffirmed its commitment to this goal earlier in July.
The company’s financial situation is currently similar to what Tesla faced early in its production phases. CEO Elon Musk recently advised the company to cut costs in any way possible or it could face potential closure.
“That affordability threshold is very important,” Musk said in June. “It must both be a good value for money and be affordable in order to achieve good unit volumes. And where car companies can get, kind of, painted into a corner of doom is: If the cost of a car is so high that they have to raise the price of the car to the point where the price of the car is…and Rivian, I think, has this problem, you know, they’re going to need to fix it, or they’re in deep trouble…they raise the price to the point where only a very small number of people can afford the car, no matter how desirable it is. Then, at that point, if you cannot achieve a unit volume that covers your fixed costs, you’re screwed.”
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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
