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Study claims Tesla and other EVs, autonomous driving tech, are not wanted by consumers

(Photo: Andres GE)

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A recent study from US-based global marketing information services firm JD Power has concluded that consumers are not at all that excited about the advent of full self-driving vehicles, or electric cars for that matter. According to the firm, the respondents of its study exhibited a low level of confidence for autonomous vehicles and a neutral level of confidence for electric cars. 

The rather surprising results are sourced from JD Power’s Mobility Confidence Index Study, which was conducted in collaboration with SurveyMonkey, which polled 5,749 consumers who were asked about self-driving vehicles, and 5,270 consumers who were asked about all-electric cars. The respective results of both polls were then converted to a 100-point scale. According to the firm, the results were not encouraging, with autonomous vehicles scoring 36 out of 100 and EVs scoring 55 out of 100. 

JD Power has not published the full results of its study, though it has noted that the respondents of its self-driving vehicle survey expressed concerns about riding in autonomous cars themselves, as well as being on the road with other drivers while inside a self-driving car. The firm noted that 71% of the study’s respondents were most worried about tech failures that can happen while an autonomous vehicle is in operation, while 57% were concerned about the possibility of the cars getting hacked. It should be noted that 68% of the study’s respondents admitted that they had “little to no knowledge about self-driving vehicles.” 

The results of JD Power’s EV survey were a bit better compared to its full self-driving vehicle study. Charging infrastructure and battery range were listed as “critical challenges which must be addressed,” with 64% of respondents having concerns about charging infrastructure, 77% expecting electric vehicles to have a range of at least 300 miles, and 74% stating that they were unwilling to wait more than 30 minutes to replenish 200 miles of range in a charging station.

Amidst these concerns, only 39% of the respondents to JD Power’s survey stated that they were likely to purchase an electric vehicle, while 49% expressed concerns about the reliability of EVs compared to gas-powered cars. Similar to the respondents of the full self-driving vehicle study, 68% of those who were surveyed about electric vehicles stated that they had no experience with EVs at all, with some admitting that they have never sat inside an electric car. 

(Photo: Tesla)

Kristin Kolodge, executive director, driver interaction & human-machine interface research at JD Power, stated that the results of the study were not encouraging for EVs and autonomous driving systems. “Out of the box, these scores are not encouraging. As automakers head down the developmental road to self-driving vehicles and greater electrification, it’s important to know if consumers are on the same road — and headed in the same direction. That doesn’t seem to be the case right now. Manufacturers need to learn where consumers are in terms of comprehending and accepting new mobility technologies—and what needs to be done.” she said. 

Considering the aggressive push for electric car adoption and the equally aggressive push for the retirement of the internal combustion engine in regions such as Europe and China, the results of JD Power’s survey, which seemed to be driven by respondents that simply lacked information, are quite interesting, and perhaps not representative of global car buyers as a whole.

If any, the fact that the majority of respondents in both surveys admitted to having little experience or knowledge about EVs and self-driving systems highlights the need for more information dissemination, especially from companies like Tesla. After all, Tesla has already addressed the biggest concerns highlighted by the respondents of JD Power’s EV survey, as evidenced by its Supercharger Network, its proprietary fast-charging technology, and the release of vehicles like the Model S Long Range, which can go 370 miles on a single charge.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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Tesla Cybercab launch catches NHTSA’s attention who wants to know more

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(Credit: Teslarati)

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.

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