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
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
