Deloitte, a leading professional services network, has published polling and analysis on the hurdles ahead of EV adoption globally.
Deloitte condensed its findings well in one of the first sentences of its analysis, “interest in electric vehicles grows, but worries about price, range, and charging time remain.” This survey is part of a series that Deloitte has conducted annually for over a decade now called the “Global Automotive Consumer Study.” In this year’s publication, the focus was on electric vehicles.
The first surprising piece of data is how much the United States lags in interest in electric vehicles. Deloitte found that only 8% of respondents were confident that EV was their next vehicle. However, this is an outlier compared to other recent surveys conducted in the U.S. Out of the nations polled by Deloitte, China led in interest in EVs, with over a quarter of respondents saying that their next vehicle would be electric.
Less surprising were the reasons respondents were interested in purchasing an EV. Despite the near-constant messaging from governments, media sites, and automakers alike, the cost of ownership was by far the most significant attractor for consumers. Significantly more swaying than concerns about the environment or concerns about personal health.
Shortly thereafter, Deloitte highlighted the top concerns of consumers if they were to buy an electric vehicle, and unsurprisingly, affordability was the number 1 concern across the board. In the U.S., other top concerns included driving range, charging time, public charging availability, and at-home charging availability. Globally, other than concerns regarding the upfront cost of the EV, charging time, driving range, and charging availability were also top concerns.
Only one country had responses that dramatically differed from the norm, China. Chinese respondents not only stated that the superior driving experience was the top attractor to EVs, but their biggest concern was safety regarding battery technology.
For those who live or have purchased an EV in the U.S., these results should be no surprise. The foremost EV seller in America, Tesla, no longer sells a vehicle below $40,000, and the vast majority of Tesla vehicles sell for much more. To make the problem even worse, traditional budget brands have not yet been able to bring down their prices to parity with gas offerings.
Ford’s F150 Lighting sells for thousands more than its gas counterpart. The first-ever Toyota EV offering, the BZ4X, is multiple times the cost of a base RAV4. And while the Chevy Bolt has become popular specifically for its affordability, it remains far more expensive than gas vehicles in its class.
The other area where EVs aren’t meeting customer expectations is in the driving range they are capable of. An astounding 19% of respondents stated that they would want a vehicle with a minimum range of 600 miles, while the plurality of respondents expected more than 300 miles of range. And while many may believe that these expectations are unfairly high compared to gas vehicles, perhaps this is also a messaging problem that automakers must solve in the coming year.
These results do come with the caveat that they varied quite considerably from market to market. Noticeably, Southeast Asian respondents needed the least amount of range, while respondents from Europe and the U.S. stated they needed the most.
On a more positive note, Deloitte was able to find areas where advancement in EV technology has finally been able to meet consumer expectations. The vast majority of respondents stated that they were willing to wait either between 10-20min or 20-40min for a complete charge, and over 40% of respondents stated they would be willing to wait a max of 20min.
While these expectations are high, they are finally within reach of many popular vehicles. Hyundai’s fastest charging vehicles will charge from 10-80% in 18min, while Teslas that plug into the newest generation Supercharger are charging to 80% in a similar timeframe.
For someone who spends their time immersed in the world of electric vehicles, such as myself, it can come across as a culture shock hearing about the concerns and motivators that are affecting the purchasing choices of the people that live around me. Still, perhaps it is an important exercise to step away from the keyboard and see what others really think. And for manufacturers, data like that collected by Deloitte can be a powerful tool showing where consumer attention is and what is affecting how they spend their money.
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!
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
