A recent study from US-based global marketing information services firm JD Power has concluded that consumers are not at all that excited about the advent of full self-driving vehicles, or electric cars for that matter. According to the firm, the respondents of its study exhibited a low level of confidence for autonomous vehicles and a neutral level of confidence for electric cars.
The rather surprising results are sourced from JD Power’s Mobility Confidence Index Study, which was conducted in collaboration with SurveyMonkey, which polled 5,749 consumers who were asked about self-driving vehicles, and 5,270 consumers who were asked about all-electric cars. The respective results of both polls were then converted to a 100-point scale. According to the firm, the results were not encouraging, with autonomous vehicles scoring 36 out of 100 and EVs scoring 55 out of 100.
JD Power has not published the full results of its study, though it has noted that the respondents of its self-driving vehicle survey expressed concerns about riding in autonomous cars themselves, as well as being on the road with other drivers while inside a self-driving car. The firm noted that 71% of the study’s respondents were most worried about tech failures that can happen while an autonomous vehicle is in operation, while 57% were concerned about the possibility of the cars getting hacked. It should be noted that 68% of the study’s respondents admitted that they had “little to no knowledge about self-driving vehicles.”
The results of JD Power’s EV survey were a bit better compared to its full self-driving vehicle study. Charging infrastructure and battery range were listed as “critical challenges which must be addressed,” with 64% of respondents having concerns about charging infrastructure, 77% expecting electric vehicles to have a range of at least 300 miles, and 74% stating that they were unwilling to wait more than 30 minutes to replenish 200 miles of range in a charging station.
Amidst these concerns, only 39% of the respondents to JD Power’s survey stated that they were likely to purchase an electric vehicle, while 49% expressed concerns about the reliability of EVs compared to gas-powered cars. Similar to the respondents of the full self-driving vehicle study, 68% of those who were surveyed about electric vehicles stated that they had no experience with EVs at all, with some admitting that they have never sat inside an electric car.
Kristin Kolodge, executive director, driver interaction & human-machine interface research at JD Power, stated that the results of the study were not encouraging for EVs and autonomous driving systems. “Out of the box, these scores are not encouraging. As automakers head down the developmental road to self-driving vehicles and greater electrification, it’s important to know if consumers are on the same road — and headed in the same direction. That doesn’t seem to be the case right now. Manufacturers need to learn where consumers are in terms of comprehending and accepting new mobility technologies—and what needs to be done.” she said.
Considering the aggressive push for electric car adoption and the equally aggressive push for the retirement of the internal combustion engine in regions such as Europe and China, the results of JD Power’s survey, which seemed to be driven by respondents that simply lacked information, are quite interesting, and perhaps not representative of global car buyers as a whole.
If any, the fact that the majority of respondents in both surveys admitted to having little experience or knowledge about EVs and self-driving systems highlights the need for more information dissemination, especially from companies like Tesla. After all, Tesla has already addressed the biggest concerns highlighted by the respondents of JD Power’s EV survey, as evidenced by its Supercharger Network, its proprietary fast-charging technology, and the release of vehicles like the Model S Long Range, which can go 370 miles on a single charge.
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
