Ford has announced that it will build a $3.5 billion battery production facility in the Marshall Township of Western Michigan. The plant comes with an agreement Ford recently confirmed with Contemporary Amperex Technology Co., Limited (CATL).
Ford has the ambitious goal of producing 2 million EVs annually by 2026, and a key element to that plan is a rapid expansion of production. Ford started with “Blue Oval City,” a massive new production and office facility in Tennesee, and has since then begun construction of its first battery production location and enormous expansions of existing factories throughout the U.S.
Now, the company has doubled down, constructing yet another battery production facility, this one in Marshall, Michigan, with the help of CATL.
The $3.5 billion 2,000 acre megasite, while not Ford’s first battery plant, is the company’s first try with LFP, or lithium iron phosphate, batteries. Ford CEO Jim Farley states that these batteries are designed to be cheaper, charge faster, and last longer. LFP battery packs have been used by other automakers, including Tesla, to combat supply shortages.
Ford’s LFP battery design comes from a collaboration with CATL, who will also be helping the company start the Marshall plant as it comes online in 2026.
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- Charles Poon, Director, Electrified Systems Engineering, Ford Motor Company, holds a lithium iron phosphate (LFP) battery, while Anand Sankaran, Director, Ford Ion Park, Ford Motor Company, holds a nickel cobalt manganese (NCM) battery. Ford currently uses NCM in its electric vehicles, and will add LFP to its lineup beginning later this year to help it produce more EVs and make them more accessible and affordable for customers.
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- Ted Miller, Manager, Ford Battery Cell Research and Advanced Engineering, Ford Motor Company, speaks at Ford Ion Park in Romulus, Mich., on Monday, Feb. 13, 2023, ahead of an announcement where Ford detailed plans to be the first automaker to commit to build both nickel cobalt manganese (NCM) and lithium iron phosphate (LFP) batteries in the U.S.
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- Ted Miller, Manager, Ford Battery Cell Research and Advanced Engineering, Ford Motor Company, holds a lithium iron phosphate (LFP) battery during a presentation on Monday, Feb. 13, 2023 at Ford Ion Park in Romulus, Mich. Ford is investing $3.5 billion in the countryÕs first automaker-backed LFP battery plant, offering customers a second battery technology within FordÕs electric vehicle lineup.
Thus far, no Ford EVs currently employ LFP batteries, instead opting for more energy-dense and expensive chemistries. However, that will be changing. This spring, the Ford Mustang Mach-E will be the first Ford EV with the option of LFP battery cells, with more vehicles receiving the same treatment shortly. Ford did not announce how this change will affect the pricing of the Mach-E.
To help fund the plant, the Michigan Strategic Fund announced that it would contribute $210 million on top of funds made available through the Inflation Reduction Act. With the massive stockpile of IRA funds, the Feds are poised to pay anywhere in the range of between $20 and $50 per kWh produced domestically to help with initial production costs. However, that number is highly dependent on material sourcing, operation size, and other factors.
While the project is undoubtedly a great aid to Ford in its mission to electrify its product lineup, it is even better news for Mashall, Michigan, which over the past decade has lost just over 2,000 jobs, according to the “Choose Marshall” organization. With Ford’s infusion of 2,500 new jobs, the entire region is poised to rebound and will likely result in higher standards of living across the board.
Along with nine other new production facilities, Ford is headed toward hitting its 2 million EV run rate and is poised to maintain its position as the second-largest EV brand in the United States. Though, with an equally massive investment being made by General Motors, Stellantis, and others, there is no lack of competition for EV supremacy in the country. Hopefully, more automakers will choose, as Ford has, to invest in the U.S. and work towards growing the number of EVs available for everyone who lives here.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, 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
