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Trump’s plans for EV program cuts, global tariffs and more: report

Credit: Ford

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As expected, the transition team for President-elect Donald Trump is now reportedly looking to slash support for electric vehicle (EV) and charging programs set up by the Biden administration, along with lodging global tariffs and pushing to ease regulations on fossil-fuel emissions.

The Trump transition team is now looking at plans to ease regulations on the fossil fuel industry and to cut many EV programs, including the $7,500 EV tax credit, along with lodging tariffs on battery material imports worldwide, according to a document seen by Reuters this week.

As part of efforts to bolster the domestic supply chain for battery materials, many of which are produced in China and are heavily subsidized in the U.S., the transition team has recommended imposing tariffs on all battery materials around the world, before negotiating individual exemptions with allies, as the document shows.

“When he takes office, President Trump will support the auto industry, allowing space for both gas-powered cars and electric vehicles,” said Karoline Leavitt, spokesperson for the Trump transition team, in a statement.

RELATED: U.S. Supreme Court to hear challenge on California emission rule waiver

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Although Trump campaigned on promises to end the $7,500 federal EV credit and official plans to kill the subsidy were reported last month, the transition team has also called for rolling back the $7.5 billion plan passed under Biden to help aid the buildout of charging stations for EVs.

Instead, the team has said that it would shift this and other funding currently going toward making EVs more affordable toward national defense efforts, including the initiative to secure battery supplies without relying on China. The document notes that these efforts would focus on shifting money toward battery material production, as well as the “national defense supply chain and critical infrastructure.”

The document suggested that the team utilize Section 232 tariffs, which are intended to limit the import of any items related to potential national security threats. Biden recently increased tariffs on several imports related to charging technology and critical minerals for EV batteries, including graphite, “permanent magnets” used in EV motors and in military applications, and lithium-ion batteries, among others, though the tariffs were issued on economic grounds, rather than on those in national security.

The transition team is also looking to waive environmental reviews to accelerate “federally funded EV infrastructure projects,” such as those in battery production and recycling, charging deployment, and manufacturing of critical minerals. Other proposals detailed in the document include:

  • Ditching federal requirements for electrifying government fleets, including Biden’s policy to mandate all federal purchases by zero-emission vehicles by the end of 2027
  • Using the Export-Import Bank of the U.S. to provide financial support for U.S. batteries for EVs
  • Utilizing tariffs as a “negotiating tool” to encourage other markets to consider U.S. auto exports including both gas cars and EVs
  • Ending restrictions on exports of EV battery technology to countries deemed adversaries
  • Ending programs for the Department of Defense attempting to buy or develop electric military vehicle options

How will ending the $7,500 EV tax credit affect Tesla? Musk calls it a benefit

While many have said that ditching the $7,500 tax credit and other policies intended to help spur on the adoption of EVs could hurt Tesla, CEO Elon Musk and others have argued that it may only benefit the company by harming other automakers even more. Wedbush analyst Dan Ives said last month that the change would only “enable Tesla to further fend off competition from Detroit,” given its already decisive advantage in EV scale.

In his latest statement regarding EV subsidies, made on X last month, Musk called for the U.S. to “end all government subsidies, including those for EVs, oil and gas.”

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Musk also campaigned with Donald Trump during the election and created the political action committee (PAC), dubbed America PAC, to support his candidacy financially. He has since gained a position in what the team has called the Department of Government Efficiency, and he’s expected to play a major role in the upcoming administration.

In a report last week, it was said that the Trump transition team is also considering getting rid of a mandatory reporting measure for automated driving systems, as part of a larger effort to remove regulations and push self-driving vehicle development forward more quickly. An additional report from last month also suggests that Trump is already looking to create federal rules surrounding the rollout of autonomous vehicles, expected to accelerate the deployment of commercial robotaxis and other self-driving technologies.

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Analysts weigh in on Trump presidency’s effects to U.S. auto sector

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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