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Tesla Cybertruck comes in dead last against GM, Ford and Rivian in consumer survey
A recent consumer survey comparing the Tesla Cybertruck to the Ford F-150 Electric, the Rivian R1T, and GM’s unreleased, unannounced electric pickup truck has rendered rather interesting results. Based on the results of the study, which was conducted by Autolist.com, it appears that consumers prefer EV trucks over incumbents like GM and Ford. Consumers specifically mentioned their preference for Rivian and Tesla vehicles. The Cybertruck, with its radical styling, ended up ranking dead last in the survey’s overall rankings.
Among the respondents of Autolist.com’s survey, 50% have never owned a pickup before, while 49% have owned or currently own a truck. One percent of the study’s respondents stated that they were “unsure.” Around ~1,100 respondents were selected for the study between late November and early December, with each one being asked which all-electric pickup they prefer and why.
Interestingly, GM’s unannounced, unconfirmed all-electric pickup was the respondents’ top choice, with the still-unknown vehicle grabbing 29% of the vote. The Ford F-150 Electric came in second with 27% of the vote, while the Rivian R1T came in at a respectable third place with 24%. At the bottom was the Tesla Cybertruck, which was deemed as the top EV pickup choice by 20% of respondents.
While the overall results of the consumer survey seem unfavorable to the Tesla Cybertruck, a look at the study’s detailed results shows something very notable about the upcoming vehicle. Respondents in the survey were asked to pick three reasons why they selected a particular all-electric truck. The reasons selected for the Cybertruck by the respondents were notably different compared to the other vehicles in the survey.
For GM’s unannounced electric pickup, 62% of respondents listed their trust in the GM brand as their reason behind their preference, while 41% listed the expected reliability of the upcoming vehicle. The expected performance of the truck was listed by 37% of respondents as a priority as well. These results mirror that of the Ford F-150 Electric, with respondents’ trust in the Ford brand receiving 54% of the votes, expected reliability getting 52%, and expected performance getting 38%.
These results are very different compared to those gathered for the Rivian R1T and Tesla Cybertruck. For the R1T, it appears that its exterior styling is its biggest draw, as shown by 75% of respondents listing its look as a reason why they would choose the vehicle. Expected vehicle size and performance both were listed by 35% of respondents, and expected practicality and features received 30% of the vote.
In this sense, the Cybertruck’s results are a league of their own, with respondents seemingly prioritizing the vehicle’s entire ecosystem and Tesla’s classic performance. Fifty percent of respondents listed the Cybertruck’s expected performance as a reason they would choose the vehicle, while expected efficiency and Autopilot received a nod from 44% of respondents. Tesla’s Supercharger Network was also listed by 29% of respondents. This, if any, shows that those who prefer the Cybertruck are already familiar with EV ownership, as evidenced by their mention of charging infrastructure and advanced driver-assist systems as key priorities.
In a way, these results show that buyers who are considering the Tesla Cybertruck have preferences that do not necessarily mirror that of usual pickup customers. A part of this discrepancy may be due to a notable difference among respondents who have owned a truck and those that have never owned a pickup before. Respondents who have owned pickups before seemed the most averse to the Cybertruck, with 35% choosing GM’s electric truck as their top choice, 28% choosing the F-150 Electric, 23% opting for the Rivian R1T, and only 14% selecting the Cybertruck. Among respondents who were non-truck owners, the results were flipped, with the Cybertruck being most popular with 25.8% of respondents’ vote, the Rivian R1T getting 24.8%, and the two EV trucks from Ford and GM receiving 24.7% each.
Chase Disher, an analyst at Autolist.com, explained that the results of its survey are actually favorable for all the electric pickups and their respective makers. It shows that the veteran automakers can find a loyal customer base for their all-electric trucks, and it also reveals that an entirely new pickup market could be opened, pushed by vehicles like the Cybertruck. “Frankly, these results are good for all four brands. It shows that Ford and GM can leverage their considerable — and existing — truck followings to boost interest in their EV models. Meanwhile, it shows that Tesla and Rivian could be poised to grab a meaningful share of a crucial new growth segment,” he said.
The full results of Autolist.com’s study could be accessed here.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
