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Tesla’s battery strategy has “no advantage,” Ford CEO says
Tesla’s battery strategy will not be adopted by legacy automotive company Ford, because Jim Hackett, the company’s CEO, says there is “no advantage” in migrating capital into owning a cell manufacturing facility.
During Ford’s Q2 2020 Earnings Call in late July, Morgan Stanley’s Adam Jonas asked about the company’s strategy to produce EV batteries in-house, as opposed to sourcing the cells from third-party companies like Panasonic and LG Chem.
Hackett, who elected to retire from his post as head of Ford earlier this year, stated that his team did a “deep dive” on whether it was advantageous to create its own battery cells.
It proved not to be advantageous for Ford.
“I’ve met with a number of the people that you know that are in the supply side of this. And it was our estimation, in fact, our whole team went through a really deep dive on this six months ago, that the supply chain has ramped up since Elon built his Gigafactory,” Hackett said. “And so there’s plenty there that does not warrant us to migrate our capital into owning our own factory. There’s no advantage in the ownership in terms of cost or sourcing as what Ford can draw on.”
Instead, the company will continue to go the path that it is now, which requires sourcing batteries from third-party suppliers instead of researching and improving on cells within the company’s facilities across the world.
Interestingly enough, Tesla has found tremendous advantages in producing its own batteries at its Giga Nevada facility, which is responsible for assembling battery packs with the help of Panasonic.
Forbes stated that a Trefis analysis from January 2020 showed that battery costs fell by 45% from 2016 to 2019, which effectively decreased the price of Tesla’s vehicles by $7,000 on average.
Despite this, Ford isn’t budging, and the company’s executives don’t believe they require a battery plant at the current time.
Hau Thai-Tang, Ford’s Head of Product Development and Purchasing, stated that the company would need to manufacture between 100,000 and 150,000 electric vehicles a year to justify a battery production facility, Automotive News reported.
“We don’t have that volume initially to justify that capital expenditure,” Thai-Tang said. “There’s insufficient scale for any one OEM, other than somebody who’s a full-line battery-electric manufacturer like Tesla, to justify that spending.”
Thai-Tang’s statement indicates that there is a possibility that Ford could change its mind about battery production in the future. Still, the company will have to increase the production of its electrified lineup. For now, he is okay with buying batteries from suppliers.
“It gives us the ability to access the latest technology and innovation across multiple suppliers,” he said.
Tesla, however, is thriving by developing its battery technology. Many Wall Street analysts contribute the company’s cell strategy as a primary reason for its success, which has been exponential so far this year for investors.
Ford is still fine-tuning its EV project and is planning to release a fleet of forty electric cars by 2023 by spending $11 billion by 2022 to develop the technology required to be competitive in the quickly-growing sector.
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.
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
