The Biden Administration is pulling back on a proposed rule that would require automakers to build fewer combustion engine vehicles or face hefty fines.
On Tuesday, the Department of Energy decided to slow down the phase-out of existing rules that give car companies extra fuel-economy credits for the EVs they sell. The goal was to help U.S. car companies meet federal fuel efficiency standards while maintaining the ability to sell gas-powered pickups and SUVs that are big money makers.
The Biden White House decided to pull back the rules after meeting with automakers who said they could not meet the aggressive goals for a widespread EV transition.
The previous rules aimed to have 67 percent, or roughly two-thirds, of all new cars be electric by 2032. The new rules now allow for 30 to 56 percent of all new car sales to be EVs.
BREAKING
You might not own an electric vehicle by 2032, after all.
The EPA is *easing* its emissions rule ramp-up after major concerns from the car industry.
Percentage of EVs by 2032:
Previous plan: 67%
Current plan: 30-56%Dealers and consumers – how do you feel about…
— Car Dealership Guy (@GuyDealership) March 20, 2024
Last year, the U.S. EV market share was under 8 percent.
Tesla wants the U.S. to enact stricter fuel efficiency standards
The backpedaling comes as President Biden is attempting to bolster his re-election campaign. Reuters, in its report, points out that the move could be an attempt to sway some votes in his direction as the battleground state of Michigan, where General Motors and Ford, two legacy automakers, are based.
The Biden Administration’s concession comes as Donald Trump has stated that the heavy EV policies could cost millions of jobs and help Chinese EV makers dominate the growing U.S. EV sector.
The now-pulled-back proposal would have lowered “petroleum-equivalent fuel economy” ratings for EVs by 72 percent in 2027. By 2030, they would have been reduced by a total of 65 percent, giving companies more time to adjust to the strict standards.
Companies supported the announcement after they disclosed to the White House that meeting these standards would become increasingly difficult.
The Reuters report also states that GM would have faced $6.5 billion in fines, Stellantis would have been stuck with a $3 billion penalty, and Ford would have had $1 billion in fines.
The EPA also announced on Wednesday that it would implement revised standards for vehicle emissions from 2027 to 2032.
These new rules will require emissions reductions in every new car sold starting in 2027. To meet the new standards, automakers will be able to utilize cleaner technologies for gas-powered cars and add more zero-emissions EVs to their lineups.
The final rule would help the industry meet the limits of 56 percent of new vehicle sales being all-electric by 2032. It would also see at least 13 percent of new car sales be hybrid vehicles.
“Let me be clear: Our final rule delivers the same, if not more, pollution reduction than we set out in our proposal,” the EPA’s Michael Regan said, according to NBC.
“Today’s announcement will shift the trajectory of the automobile market and put us on a path to real emissions reductions, with an estimated 7.2 billion tons of global warming pollution avoided by 2055,” Steven Higashide, Director of the Clean Transportation Program at the Union of Concerned Scientists, said. “These rules are the strongest standards ever finalized and vital for meeting U.S. climate goals. This rule is technology-neutral and won’t mandate electric vehicles, but it will encourage this growing market. New cars sold in the coming years will be on the road for a decade or more, so it’s vital that these rules cut emissions from gasoline cars as well as encourage zero-emission electric cars.”
The new regulations are more aligned with the automotive industry’s beliefs. Dealers and the UAW saw previous plans from the EPA as unrealistic.
However, climate groups believe these standards will help eliminate emissions.
“These standards will help clean up emissions from transportation—the biggest source of global warming pollution in the U.S. To achieve their full potential, these rules must be accompanied by other investments in a cleaner, more accessible transportation system,” Higashide added.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can 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
