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New Study: Only 26% of U.S. households are familiar with EVs. New Study: Only 26% of U.S. households are familiar with EVs.

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New Study: Only 26% of U.S. households are familiar with EVs.

Graph: Parks Associates

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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.”

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Electric Vehicles: A New Era for Consumers

Graph: Parks Associates

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%.

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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

Graph: Parks Associates

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.

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Lack of familiarity with EV features.

Graph: Parks Associates

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

Graph: Parks Associates

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.

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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.

Graph: Parks Associates

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.

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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.

Image credit: Park Associates

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. 

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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

Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

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Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

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The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

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TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

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Elon Musk

Tesla Hardware 3 owners could be made whole this month

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

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Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

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Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

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This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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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.

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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.

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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.

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