Rivian has delayed the initial deliveries of its first-ever electric car, the R1T pickup truck, from July until September, an email from CEO RJ Scaringe to reservation holders says.
In an email to Rivian reservation holders from Scaringe, the CEO indicates that “cascading impacts of the pandemic have had a compounding effect greater than anyone anticipated.” Scaringe explained that the impacts had affected everything from the construction of its Normal, Illinois, facility to the widespread semiconductor shortage.
“Everything from facility construction to equipment installation, to vehicle component supply (especially semiconductors) has been impacted by the pandemic. Beyond these unforeseen challenges, launching three new vehicles while setting up a multi-vehicle manufacturing plant is a complex orchestra of coordinated and interlinked activities where small issues can translate into ramp delays.” Scaringe wrote in the email.
Additionally, the Rivian CEO indicated that R1T deliveries have been pushed back to September. R1S SUV deliveries will begin “shortly thereafter,” the email says.
“We know you can’t wait to get behind the wheel of your vehicle. Earlier this summer, we announced that deliveries would begin in July; however, the timing for the first deliveries of the R1T has shifted to September, with the R1S shortly thereafter in the fall. I wanted to be sure you heard this from me directly.”
As of now, Rivian has two operating production lines at the Illinois production plant: one for the R1T and R1S and another for the commercial vans it is producing for companies like Amazon.
“Our plant in Normal, IL has two separate production lines currently producing vehicles, one for the R1 vehicles (initially R1T and R1S) and one for our commercial vans. We have now built hundreds of vehicles as part of our validation process, with many of those spotted out in the wild covered in unique vinyl wraps,” Scaringe added. According to the email, some reservation holders have asked why these vehicles aren’t being delivered. Scaringe says that the company’s long-term success and consumer satisfaction depend on quality and robustness. These vehicles are made for testing and not for owners to have, as Rivian could still be making minor adjustments to its first vehicles.
Rivian has been working toward initial deliveries for some time. Last year, the entire operation of manufacturing the first production builds of its vehicles was delayed by the COVID-19 pandemic. With the delivery date for some reservation holders set for July, owners will have to wait a few more months for Rivian to iron out the final touches of its vehicles. The semiconductor shortage has affected many manufacturers, and it is something that comes at the worst time as Rivian is forced to push back deliveries until September at the earliest.
The full email is available below.
“Hello –
I am writing this letter from our Normal, IL manufacturing plant where our teams are working around the clock to ramp production of our R1T, R1S and commercial vans. It is amazing to see the plant come to life through the work of so many passionate team members. As I’ve watched our team grow to more than 7,000 people, I’ve also witnessed the excitement from our supporters stretch even greater. Whether you were among our first reservation holders or you’re new to the community, thank you for putting your trust in us and showing so much enthusiasm for our products. We know you can’t wait to get behind the wheel of your vehicle. Earlier this summer, we announced that deliveries would begin in July; however, the timing for the first deliveries of the R1T has shifted to September, with the R1S shortly thereafter in the fall. I wanted to be sure you heard this from me directly. There are many reasons why our production ramp is taking longer than expected. The cascading impacts of the pandemic have had a compounding effect greater than anyone anticipated. Everything from facility construction, to equipment installation, to vehicle component supply (especially semiconductors) has been impacted by the pandemic. Beyond these unforeseen challenges, launching three new vehicles while setting up a multi-vehicle manufacturing plant is a complex orchestra of coordinated and interlinked activities where small issues can translate into ramp delays. Our plant in Normal, IL has two separate production lines currently producing vehicles, one for the R1 vehicles (initially R1T and R1S) and one for our commercial vans. We have now built hundreds of vehicles as part of our validation process, with many of those spotted out in the wild covered in unique vinyl wraps. I have been asked why we aren’t delivering those vehicles or why we continue to test rather than deliver. We believe it is critical to both our long-term success and your ultimate satisfaction that the quality and robustness of our launch products truly sets the tone for what to expect from us as a brand. I have spoken with a number of you and know we need to do a better job at communicating specifics around deliveries. Our Guides will continue reaching out to schedule deliveries and will be there for any questions throughout the process. We are also preparing for a multi-city, multi-format drive program set to roll out in September. You’ll start to see Rivian charging sites and service centers being built in your local communities; and as we head into the end of the year, you’ll also start to see events, programs and spaces where we’ll be able to bring our Rivian community together. Lastly, I have spent a lot of time in the R1T and R1S in just about every conceivable environment, and I am excited for you to experience the combination of refinement, capability and performance – it will be worth the wait! You’ll be hearing more from us over the coming weeks with additional updates and progress. Thanks again for your support and being on this adventure with us.
RJ”
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
