News
Auto lobby group worries that most U.S. EVs disqualified for EV tax credit
Automaker lobby group Alliance for Automotive Innovation says that if additional sourcing requirements go into effect, U.S. automakers won’t qualify for the full credit.
According to Reuters, these automakers have been privately expressing their worries about the proposal’s increasing requirements regarding batteries and critical mineral contents being sourced from the U.S.
John Bozzella, head of the Alliance for Automotive Innovation, is calling for a “more gradual phase-in” of the requirements.
The lobby group represents General Motors, Toyota, and Ford Motor as well as a few other automakers. The group said that the proposal by Senators Schumer and Manchin would make 70% of 72 U.S. electric, plug-in hybrid, and fuel-cell EVs ineligible for the $7,500 tax credit if the bill is passed.
“A more gradual phase-in of the battery component, critical mineral and final assembly requirements – that better reflect current geopolitical, sourcing and mineral extraction realities – will preserve the credit for millions of Americans,” Bozzella told Reuters.
“None would qualify for the full credit…”
According to Bozzella,
“None would qualify for the full credit when additional sourcing requirements go into effect.”
The automakers represented by the lobby group have expressed their feelings about this bill previously and I wrote about this here. Senator Manchin pointed out that the U.S. needs to step away from its dependence on foreign supply chains.
Not All U.S. Automakers will have this problem as the lobby group fears.
There is one other U.S. automaker that isn’t represented by this lobby group and that’s Tesla. Yesterday, I spoke with Todd Malan, the Chief External Affairs Officer & Head of Climate Strategy at Talon Metals.
Talon Metals is a key partner of Tesla’s key nickel and battery mineral supplier of Tesla’s and it’s also based here in the U.S. The nickel mine is in Tamarack, Minnesota. Todd noted that other automotive lobby groups, such as the Zero Emissions Transportation Association (ZETA), had a more nuanced view of Manchin’s proposal.
He also pointed out that Tesla is a lead member of ZETA which is in favor of Manchin’s EV incentives. Todd also emphasized that these other automakers need to work together with their suppliers.
“We need everyone working together to meet these ambitious goals in the Manchin bill.
Mining is the front end of the supply chain and it takes enormous knowhow, capital, and risk tolerance to discover, delineate, permit, construct and then safely operate a mine to supply battery minerals.”
Todd also shared a bit of what it was like to have the off-take agreement with Tesla.
“Having a Tesla off-take agreement in place has changed the perception of our project in the community. It’s very credentializing and our employees are proud of the partnership. People clearly understand that our proposed mine has a purpose: to supply nickel for the EV battery supply chain and contribute to the energy transition. This has helped shape how people perceive the project. It has a purpose and an important one.”
“Many of the large automakers are helping supply partners apply for some of the significant new funding opportunities being made available through the Bipartisan Infrastructure Bill. The Department of Energy is expected to give out over $1.8 billion in funding from that legislation this fall. This is another example of how the end-users can help the front end of the supply chain for battery materials.”
You can read my full interview with Todd Malan here.
Disclaimer: Johnna is long Tesla.
I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
