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Ford study reveals 4 out of 10 Americans believe EVs are powered by gasoline
A study conducted by Ford has revealed that car buyers still have much to learn about the nature and advantages of all-electric cars. Based on the results of Ford’s study, there is still a lot of misinformation surrounding EVs as a whole. This is prominent in the US, where 42% of Americans stated that they believe electric cars still need to be filled up with gasoline to run.
The rather disconcerting results of the study, which involved respondents from the United States, Europe, and China, were shared on Medium by Ford Motor Company Global Director for Electrification Ted Cannis. According to the executive, there remains a gap between “what an electric vehicle can do and what customers believe they can do” among car buyers. This gap covers several areas, from the performance of EVs to the vehicles’ general ownership experience.
More than 90% of individuals polled by Ford, for one, stated that they don’t believe quick acceleration and a great driving experience is a benefit of electric cars. This is unfortunate, considering that premium electric cars such as the Porsche Taycan are quite literally built to be driven hard for extended periods of time, while vehicles like the Model 3 Performance routinely crush driver’s cars such as the BMW M3 on the track.
Around 67% of Americans and 68% of Europeans also believe that EVs are not capable for towing and hauling tasks. These findings are noteworthy for Ford, considering that the company previously demoed its F-150 EV prototype towing over 1 million pounds of cargo. Furthermore, almost 80% of Americans stated that they would not pick an EV because of extreme weather. Nearly 65% who are in the market for an AWD vehicle will not consider an electric car as well.
Yet, perhaps the starkest reminder of the information gap between mainstream car buyers and EVs lie in the fact that 42% of Americans among Ford’s respondents believe that electric cars are still powered by gasoline. There could be several reasons behind this misconception, one of which could be due to hybrids and plug-in hybrids, cars that are still equipped with an internal combustion engine, being dubbed as “electrified” vehicles.
Cannis stated that another possible reason for this misconception lies in the habits of consumers, as even owners of hybrid and plug-in hybrid vehicles still take regular trips to the gas station. Thus, the concept of “filling up” a car at home by plugging it in like a regular electronic device could seem unnatural to some consumers. The Ford executive added that this misconception is unfortunate, since surveys of all-electric car owners have revealed that 80% of an EV’s charging is done at home and at the workplace.
The Ford executive’s statements about the misconceptions surrounding electric vehicles are accurate. Tesla, despite producing electric vehicles for over a decade, deals with such misinformation consistently, as the company and its vehicles are still frequently misunderstood. The Tesla Model S Performance and the Model 3 Performance are very quick sedans, for example, but it won’t be difficult to find a driver who believes that the vehicles are just slow, “glorified golf carts.” Overall, Ford’s efforts at understanding the market’s pulse about EVs is admirable, and the findings of the study will hopefully guide the company in its strategy to roll out battery-electric vehicles like the F-150 EV in the near future.
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
