Consumer Reports has released the results from its largest ever national survey, and it found that over a third of Americans are interested in buying electric vehicles.
There is reason to be optimistic about an EV future when Consumer Reports (CR) says that “36% of Americans plan to buy or lease an electric-only vehicle or are seriously considering doing so.” However, the survey of 8,027 Americans nationwide also found that people were surprisingly naive regarding the costs of EV ownership, the capabilities of the newest EVs, and even government incentives.
Of the 36% of people interested in buying an electric vehicle, the top reasons for their interest included low charging costs (33%), lower lifetime vehicle costs (31%), and lower maintenance costs (28%). Around 14% of the respondents were part of the most interested group of buyers, a group that has grown by 4% since a similar CR survey in 2020.
Compared to a Texas poll that we covered previously in Teslarati, Consumer Reports‘ poll showed a lower level of interest. They were also almost entirely focused on the cheaper cost of ownership, instead of new technologies or the environmental impact of EVs.
CR notes that data from Cox Automotive last quarter showed that EV sales rose by 76%. This seems to match sales reports from manufacturers this quarter, confirming that interest in EVs is increasing. However, CR put a unique focus on Americans uninterested in buying an EV for their next vehicle.
Unlike the Texas poll that showed that a sizable group simply preferred gas/diesel vehicles, CR did not replicate this result and found three other reasons why consumers were wary of electric cars. About 61% of those who were uninterested in EVs cited a lack of charging infrastructure, 55% cited range anxiety, and 52% said the cost of buying and or maintaining an EV was too high.
While it is unclear if the consumers surveyed were aware of current charging infrastructure or the range of newer electric vehicles, other reasons were often related to a lack of knowledge.
Most predominantly, 46% of respondents were unaware of Federal and State EV purchasing incentives, a factor that could have influenced whether they could afford an EV. Furthermore, while upfront costs for many EVs remain high, the maintenance costs of these vehicles are far lower than that of their ICE counterparts, once again showing that many consumers are unaware of the benefits of EV ownership.
On top of these facts, the demographic that was one of the most likely to be considering buying an EV was people who had either ridden in or had driven EVs within the past year. Only only 7% of respondents have driven an EV in the past year, yet these people account for over 20% of those who are interested in buying EVs. This shows that often people lack the interaction with EVs that could prove pivotal to changing their minds on whether these vehicles are viable for their personal use.
Other demographics that were more likely to buy EVs include men, younger people, people who live in urban areas, those with higher levels of education, and people with higher incomes.
The path forward is clear for auto manufacturers who want to bring more customers in to buy electric vehicles. They must address their concerns about cost, allow potential customers to test drive and experience EV charging, and make them aware of incentives that may help them purchase a vehicle. Each of these tactics will become far more important as more and more manufacturers begin offering EVs, bringing in a wider (and sometimes less knowledgeable) audience.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
