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‘Average Americans’ can’t afford EVs: Former White House official, others rip Buttigieg
The all-too-common myth that electric vehicles are not affordable to the average American is now being reignited by former Trump White House Communications Official Mercedes Schlapp, among others, who ripped Transportation Secretary Pete Buttigieg for suggesting that the answer to rising gas prices was to buy an electric car.
Sec. Buttigieg appeared on MSNBC on Sunday to suggest that American consumers can avoid soaring gas prices by purchasing an electric vehicle. Buttigieg said to Jonathan Capehart in an interview on “The Sunday Show” that EV owners will have a “$12,500 discount” thanks to the new EV incentive plan that was included in the House-passed “Build Back Better” plan from President Joe Biden. While only the Chevrolet Bolt EV will qualify for the full $12,500 amount, nearly every EV built in the United States will qualify for a $7,500 tax credit.
Buttigieg also went on to say that those in rural areas would be most likely to benefit from the purchase of an EV. “The people who stand to benefit most from owning an EV are often rural residents who have the most distances to drive, who burn the most gas, and underserved urban residents in areas where there are higher gas prices and lower-income,” Buttigieg claimed. “They would gain the most by having that vehicle. These are the very residents who have not always been connected to electric vehicles that are viewed as kind of a luxury item.”
Transportation Sec. Buttigieg: Buy an EV and ‘never worry about gas prices again’
However, not everyone was a fan of Buttigieg’s suggestion to transition to EVs. Former White House Director of Strategic Communications Mercedes Schlapp said that EVs are not widely affordable, and only people “in the world that Pete Buttigieg lives in” can afford them. “Average Americans struggling with record-high gas prices? Not so much,” she added.
“Let me assure you there is very little overlap between ‘families that can afford to buy a $50,000 electric car,” Amy Swearer of the Heritage Foundation said. “And ‘families that are worried about gas prices because an extra $50 a month is actually a week’s worth of groceries.’ Do you know what a lot of families could do with that extra $50 a month/$1300 a year?” Swearer added according to the New York Post.
Kelley Blue Book lists the average transaction price in October 2021 for a new vehicle at $46,036, with Tesla offering an average price of $54,560. It should be noted that Tesla has two Model 3 variants under the average $54,560 price. The Model Y’s Long Range variant is available for slightly more at $58,990. However, these prices are before factoring in federal incentives, gas savings, and money saved through lack of maintenance. If the minimum $7,500 EV tax credit were available right now, all but one of Tesla’s five mass-market vehicle variants would fall under the average cost of a Tesla vehicle. The Model 3’s Rear Wheel Drive and Long Range All-Wheel Drive configurations would cost less than the national average for a new car. Tesla vehicles would qualify for $8,000 in incentives: $7,500 for being built in the U.S. and an additional $500 for equipping a U.S.-made battery.
Now, if we factor in other vehicles in the United States, the Chevrolet Bolt, which has had production suspended until 2022 due to battery malfunctions, has several sub-$30,000 variants available. Ford’s Mustang Mach-E starts at $42,895 and can go as low as $35,395 after incentives. Three of Ford’s four Mach-E variants would fall under KBB’s $46,036 average price after incentives.
Unfortunately, politicians with widespread media coverage are able to spread misinformation regarding the price of electric vehicles. Many EVs are available on the market today are actually extremely affordable. Even if the price of an EV is slightly higher than a gas car, owners can expect savings through missed trips to the gas pump and a lack of oil changes. But, after all, we’ve learned that the White House, at nearly any time and under nearly any administration, has missed the mark regarding EVs, and it has not been uncommon for politicians to spread information that is not necessarily accurate.
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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.”
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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
