Deloitte, a leading professional services network, has published polling and analysis on the hurdles ahead of EV adoption globally.
Deloitte condensed its findings well in one of the first sentences of its analysis, “interest in electric vehicles grows, but worries about price, range, and charging time remain.” This survey is part of a series that Deloitte has conducted annually for over a decade now called the “Global Automotive Consumer Study.” In this year’s publication, the focus was on electric vehicles.
The first surprising piece of data is how much the United States lags in interest in electric vehicles. Deloitte found that only 8% of respondents were confident that EV was their next vehicle. However, this is an outlier compared to other recent surveys conducted in the U.S. Out of the nations polled by Deloitte, China led in interest in EVs, with over a quarter of respondents saying that their next vehicle would be electric.
Less surprising were the reasons respondents were interested in purchasing an EV. Despite the near-constant messaging from governments, media sites, and automakers alike, the cost of ownership was by far the most significant attractor for consumers. Significantly more swaying than concerns about the environment or concerns about personal health.
Shortly thereafter, Deloitte highlighted the top concerns of consumers if they were to buy an electric vehicle, and unsurprisingly, affordability was the number 1 concern across the board. In the U.S., other top concerns included driving range, charging time, public charging availability, and at-home charging availability. Globally, other than concerns regarding the upfront cost of the EV, charging time, driving range, and charging availability were also top concerns.
Only one country had responses that dramatically differed from the norm, China. Chinese respondents not only stated that the superior driving experience was the top attractor to EVs, but their biggest concern was safety regarding battery technology.
For those who live or have purchased an EV in the U.S., these results should be no surprise. The foremost EV seller in America, Tesla, no longer sells a vehicle below $40,000, and the vast majority of Tesla vehicles sell for much more. To make the problem even worse, traditional budget brands have not yet been able to bring down their prices to parity with gas offerings.
Ford’s F150 Lighting sells for thousands more than its gas counterpart. The first-ever Toyota EV offering, the BZ4X, is multiple times the cost of a base RAV4. And while the Chevy Bolt has become popular specifically for its affordability, it remains far more expensive than gas vehicles in its class.
The other area where EVs aren’t meeting customer expectations is in the driving range they are capable of. An astounding 19% of respondents stated that they would want a vehicle with a minimum range of 600 miles, while the plurality of respondents expected more than 300 miles of range. And while many may believe that these expectations are unfairly high compared to gas vehicles, perhaps this is also a messaging problem that automakers must solve in the coming year.
These results do come with the caveat that they varied quite considerably from market to market. Noticeably, Southeast Asian respondents needed the least amount of range, while respondents from Europe and the U.S. stated they needed the most.
On a more positive note, Deloitte was able to find areas where advancement in EV technology has finally been able to meet consumer expectations. The vast majority of respondents stated that they were willing to wait either between 10-20min or 20-40min for a complete charge, and over 40% of respondents stated they would be willing to wait a max of 20min.
While these expectations are high, they are finally within reach of many popular vehicles. Hyundai’s fastest charging vehicles will charge from 10-80% in 18min, while Teslas that plug into the newest generation Supercharger are charging to 80% in a similar timeframe.
For someone who spends their time immersed in the world of electric vehicles, such as myself, it can come across as a culture shock hearing about the concerns and motivators that are affecting the purchasing choices of the people that live around me. Still, perhaps it is an important exercise to step away from the keyboard and see what others really think. And for manufacturers, data like that collected by Deloitte can be a powerful tool showing where consumer attention is and what is affecting how they spend their money.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
