Tesla has fallen behind a few points on a recently published owner satisfaction study, with others such as Rivian, Porsche, and Jaguar landing some of the index’s top spots.
J.D. Power published its 2024 U.S. Automotive Performance, Execution and Layout (APEAL) Study last week, which measured owner satisfaction with their vehicles after 90 days of ownership. The index looked at responses from 99,144 owners of 2024 model year vehicles, noting that satisfaction for mainstream brands has increased from not resonating well with consumers in past years.
Tesla had an overall score of 870 in the evaluation, dropping from its 878 score in the 2023 APEAL Study. Meanwhile, OEMs like Porsche, BMW, Dodge, Ram, and several others saw their scores jump year over year.
Tesla is no longer just a luxury brand, says major auto outlet
“Traditional manufacturers have listened to the Voice of the Customer,” notes J.D. Power Senior Director of Auto Benchmarking Frank Hanley. “They’re launching enhanced vehicles that are more in line with what customers want, including improved interior storage and higher quality materials, as well as ensuring features have ease of use.
“For BEVs, recent launches from traditional manufacturers have surpassed perennial leader Tesla when it comes to owners’ level of emotional attachment and excitement with their new vehicle,” Hanley said.
J.D. Power also notes that the study took place from July 2023 through May 2024, based on vehicles registered from April 2023 through February 2024. The APEAL is now in its 29th year with the 2024 publication, requesting that vehicle owners consider their satisfaction with 37 separate vehicle factors.
Infotainment systems were the lowest-ranking across all the categories evaluated with an average of 823, though the figure still marked a 5-point improvement from last year. Vehicles using Android Auto or Apple CarPlay generally ranked better, with averages of 832 and 840, respectively.
Despite Rivian and Tesla gaining high scores on the overall evaluation, these automakers and Polestar were not awarded, due to the brands not meeting study award criteria.
“Since J.D. Power is prohibited by Tesla, Polestar and Rivian from sampling owners in all states, we are not able to include their models with rank eligible models from other manufacturers.” explains Hanley.
J.D. Power’s top-ranked vehicle brands in the 2024 APEAL Study
Top 10 premium brands by owner satisfaction
- Rivian (900)*
- Porsche (891)
- Jaguar (886)
- Land Rover (882)
- BMW (881)
- Mercedes-Benz (876)
- Lincoln (874)
- Genesis (873)
- Tesla (870)*
premium segment average (870) - Cadillac (868)
Top 10 mass-market brands by owner satisfaction
- MINI (858)
- Ram (854)
- Kia (853)
- Hyundai (846)
- GMC (845)
- Volkswagen (844)
- Buick (842)
- Chevrolet (841)
mass-market segment average (838) - Dodge (837)
- Honda (836)
*These brands did not meet the criteria for the APEAL Study’s awards, meaning that they were not rank-eligible, according to J.D. Power.
Other recent assessments from J.D. Power
Last month, Tesla, Rivian, and Polestar were given low ranks in the J.D. Power Initial Quality Study for 2024, as many battery-electric vehicles (BEVs) were reportedly found to require more repairs, in part due to including newer technology.
In May, J.D. Power ranked Tesla’s mobile app the best among several automakers, just ahead of Mercedes, BMW, and Genesis. The firm also said earlier this year that Mercedes-Benz and Tesla have the best websites in the industry.
Updated 7/29/24: Added second quote from Frank Hanley detailing the exclusion of Tesla, Rivian, and Polestar from awards.
RELATED:
Tesla urged to rethink unorthodox vehicle controls by traffic safety expert
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.