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How EV adoption is soaring in unlikely circumstances, and what could make it better
The adoption of electric vehicles has continued to skyrocket over the past several years despite challenging supply chain conditions, less-than-ideal geopolitical scenarios, lingering effects of the COVID-19 pandemic, and the soaring cost of EV materials. How this optimism remains was examined in a recent white paper from Cox Automotive, which outlined how EVs continue to defy all odds and gain market share, despite monumental challenges standing in the sector’s way.
EV Adoption grows despite rough conditions
The state of EV adoption is relatively healthy, with more Americans buying EVs than ever despite increased costs and extended wait times for delivery. Automakers across the EV manufacturing industry have been forced to adjust prices and vehicle lineups due to the increased cost of materials and supply chain deals. Tesla, for example, axed the $35,000 Standard Range+ Model 3, and its most affordable vehicle now starts at well over $40,000. Rivian was forced to push prices upward due to materials costs soaring after Russia’s invasion of Ukraine, and these examples are just two of many.
Supply chain bottlenecks have also forced consumers to push back wait times for EVs considerably. Some configurations of EVs are not available until next year due to extensive order logs; take the Long Range Tesla Model 3, for example, which won’t be available until 2023 because of its heavy demand.
Despite this, EV adoption has increased every year since 2019. “Americans are buying EVs at a record pace despite rising prices and long waits for delivery. The fleet industry is also taking note with fleet operators highly motivated to replace their gas-powered fleets with EVs to achieve sustainability goals, drive efficiency and reduce total cost of ownership,” Cox Automotive wrote in the summation of its white paper.
Price Parity and the EV Tax Credit
Price parity has always been talked about when it comes to EVs. It does not take a genius to figure out that the average person will choose an affordable car over an expensive one, even if the expensive one will not require weekly stops at the pump. However, one of the biggest things keeping EVs from extremely rapid adoption is the prices of the cars themselves, which have increased considerably over the past year due to materials costs soaring.
Luckily, consumers can take advantage of the Inflation Reduction Act, which will provide EV buyers with tax credits based on where their vehicle was manufactured and whether the car equips a U.S.-manufactured battery. “Tax incentives available as part of the Inflation Reduction Act of 2022 will be critical to consumer adoption, helping offset the cost of pricey EVs.” This is a key point in the mass adoption in EVs, and consumers will likely stick to gas-powered cars as long as they are able to if they are more affordable than a quality EV.
Supply Chain Disruptions have slowed EV adoption considerably
Related to other points already made, supply chain disruptions and constraints are slowing EV adoption. U.S.-based EV manufacturers are too reliant on foreign companies for parts, Cox said. Automakers are pushing to produce battery packs and other parts in the U.S., which will eventually help combat slow logistics times.
“Global computer chip and material shortages are impacting production, raising the price of new and used vehicles, and contributing to long waits to buy new EV models.” Consumers want affordable and they want it now. Costs will continue to remain high, and wait times will stay long if U.S. automakers do not adopt domestic supply chain strategies.
Superior EV tech is keeping the U.S. competitive
Domestic supply chain bottlenecks may have some consumers willing to spend a little extra opting for other vehicle options. If someone is willing to spend $160,000 on a car and they can buy a 2022 Porsche 911 GT3 and get it in two weeks, they’re more likely to buy that instead of waiting months for a Tesla Model S Plaid if environmental reasons and fuel savings are not being considered. Tech and the innovations of battery chemistries and recycling are keeping the U.S. automakers in focus. If battery makers can develop various battery chemistries comprised of materials that can be sourced in the U.S., wait times will reduce and cars will have more availability.
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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
