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.
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.
Tesla Full Self-Driving is going to be getting a major parking upgrade. That’s according to CEO Elon Musk, who detailed a crafty new feature that will improve parking preferences, removing a layer of human input.
Musk said that upcoming releases of Full Self-Driving will “remember your parking preferences.” It will go to the location you prefer, based on where you’ve parked in the past, instead of taking the first spot available, which is where the suite is currently.
The CEO went on to explain that destination parking is “by far” the biggest reason for intervention during FSD operation. We’d have to believe this is true; many takeovers in my Model Y, which runs the latest version of FSD as it is in the Early Access Program, are due to parking because it chooses a spot I do not want to be in.
Many times, as soon as I enter a parking lot, I take over and park manually. I prefer to park away from the entrance of wherever I am, away from cars. Too many lessons learned over the years from people with free-swinging doors.
Upcoming releases of FSD will remember your parking preferences, so that the car goes to the right location at your home, office, school drop off, etc.
Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely…
— Elon Musk (@elonmusk) June 17, 2026
We’d imagine these new updates will also solve things like parking orientation. Let’s say when you arrive at work, you always park in the third spot in the third row, and you prefer to back in. It seems as if Musk is implying that your car will now do this, learning from takeovers and aiming to eliminate the need to manually park whenever possible.
This is a major upgrade because parking is a major shortcoming of FSD currently. We’ve requested things like manual input of parking preferences, choosing to park far away, first available, or away from cars, for example.
This is a big reason Parking Preferences with Supervised FSD will be so valuable.
If possible, parking a little further away and being distant from people like this is worth it. https://t.co/1YqQLgnfTz pic.twitter.com/3Ac71KQiQ3
— TESLARATI (@Teslarati) June 7, 2026
However, some have used the option of dropping a pin at the location you’d like to park at your destination. This has worked some of the time, but FSD will still choose to park in whatever it sees first.
Musk did not give a timetable for when the improvements would be released, but it is likely to come soon. Tesla has been releasing a new FSD version every few weeks, so we may not have to wait long to test it.
In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.
John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.
FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.
As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.
A Model Y driver started experiencing a medical emergency with chest pain mid-drive & called his son.
His son then remotely rerouted the car – which had FSD Supervised enabled – to the nearest hospital & let them know the vehicle was en route. ER staff were standing by on… pic.twitter.com/yi1tHISK9y
— Tesla North America (@tesla_na) June 16, 2026
The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.
Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.
Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.
This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.
The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.
For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.
In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”
The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.
Full movies by the end of this year https://t.co/kkBrngWA0X
— Elon Musk (@elonmusk) June 17, 2026
Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.
The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.
There are a handful of things that truly outline Grok’s capabilities:
- Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
- Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
- Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer
Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.
There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.
Tesla Full Self-Driving is getting a major parking upgrade, Elon Musk says
Tesla Full Self-Driving and App Connectivity save life in medical emergency
