A new study shows that only 26% of U.S. households are familiar with EVs but this is about to change. In the recent study by Parks Associates, it was noted that as Tesla became a household name, purchase intention for EVs has gone up 6%.
I wrote about this here, and Teslarati was invited to attend to the virtual session where Chris White, the senior analyst who conducted the study, led a virtual presentation.
According to the study,
“Only 26% of US broadband households report high familiarity with electric vehicles but that’s about to change. These sessions address the coming surge of EVs on the market, the potentially explosive EV growth in adoption, and the implications for consumers, the grid, and needed infrastructure.”
Electric Vehicles: A New Era for Consumers
During the virtual session, Chris White explained some of the findings of the study. Some of these include current EV owner demographics, EV owner interest in clean energy, EV owners’ high-tech affinity, lack of knowledge of EV features, and how other issues such as the chip shortage are affecting both EV and non-EV markets.
The report was based on data from Q4 2021.
Understanding Current EV Owners
Current EV owners are young affluent and have dual incomes. Many are from a multifamily environment and use their EVs for work and school.
They use their vehicles regularly. It’s important to highlight since EVs have the image of a rare or exotic car that doesn’t have enough range. This is changing.
As the EV market continues to grow, the demographics of the current EV owners will most likely change. For now, there’s a 16% high intention of purchasing EVs among non-owners. Previous that was 10%.
That number didn’t include the current EV owners who either want to add a new EV or replace an old one.
EV Owners 3x likely to use renewable energy
Chris White’s research showed that EV buyers are three times more likely to live in solar communities or have an interest in renewable energy powering their homes. They are also 2.5 to 5 times more willing to pay more for renewable energy.
The research shows that EV owners care about their carbon footprint and the impact on the environment.
EV owners are much more likely to own a security system or a smart home device than non-EV owners, according to the research
They xcare about technology and have a higher affinity for tech than non-EV owners.
Lack of familiarity with EV features.
One of the key points in the study shows that although EVs are more popular today, there is a lack of familiarity with their features.
Chris pointed out that 18% of the consumers polled indicated familiarity with EV features. That isn’t a lot.
Features that many aren’t familiar with include EV charging at home minimizing cost when automatically charging during off-peak hours, auto insurance savings for EV owners, second-life EV batteries reused as a power source in disaster areas, and available tax incentives.
Second-life EV batteries are expected to reach over $34 billion by 2027 according to Research and Markets. You can read more about this here.
EV Features that could persuade non-owners to buy an EV
The study included the top features that could persuade non-EV owners to switch to electricity. The number one feature was for an EV to run 400 miles or longer on a single charge.
During the session, Chris pointed out that this is still rare and that most EVs are in the 200-300 mile range.
Other features included widespread charging stations and electricity plans that make owning an EV more affordable than owning an ICE vehicle. These are coming and soon people will see for themselves that EVs meet the criteria they are looking for.
Purchase Inhibitors.
The number one purchase inhibitor that non-EV owners are concerned about are the cost of an EV and charging.
The research showed that 51% of the consumers who participated in the study cited charging-related issues.
Another issue was the lack of trust in the design of EVs,
Issues that impact both EV and non-EV purchases
We often see issues such as the semiconductor chip shortage and critical minerals for EV batteries impacting the EV market. However, something that impacts both markets includes the chip shortage, Putin invading Ukraine, and the national gas prices being on the rise.
The latter can create pain at the pump which is something that encourages people to make the switch to EVs. Last month, I wrote about Dobson who purchased a Tesla due to several factors but especially high gas prices.
EVs will be everywhere soon.
The research also revealed that soon, EVs will be everywhere.
Chris spoke about the Amazon and Rivian partnership, Walmart’s purchase of Canoo EVs, Revel’s fleet of Tesla taxis in New York, and the contract between NASA and Canoo.
And this is just on the commercial side. Other automakers are producing and marketing their own EVs to compete with Tesla.
Disclaimer: Johnna is long Tesla.
I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
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:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
