News
Ford plans for major restructuring of its EV playbook with $20B budget: Bloomberg
Ford is planning for a major restructuring of its electric vehicle offensive with a massive budget of up to $20 billion. Bloomberg reports that Ford will utilize specific strategies that Tesla used to gain its notoriety as the EV leader, including a road map for vehicle launches and manufacturing planning and a sizeable budget.
Ford has made drastic changes to its EV leadership, including the acquisition of Doug Field, a former Tesla engineer who left the company for Apple and then left Apple for Ford in 2021. Overall, the total electrification reorganization plan has a budget of between $10 and $20 billion, giving Ford free range in terms of what its capabilities will be moving forward.
One of the most crucial portions of Ford’s new plan is to transition factories that are responsible for manufacturing gas-powered vehicles into EV plants. A sizeable portion of the investment will be set aside for this task and could take up to ten years to complete, sources familiar with the matter told the publication.
“We are executing our Ford Plus plan to transform the company and thrive in this new era of electric and connected vehicles. We would not comment on speculation,” Ford’s Communications Chief, Mark Truby, said.
Recently, Ford committed to a lofty goal of 600,000 deliveries within 22 months. CEO Jim Farley believes Ford can be “one of the first to scale” in terms of legacy car companies. Ford has largely been the most committed legacy company to adopt EVs, launching several highly competitive vehicles in its first few years. F-150 Lightning deliveries are expected to begin in the Spring, and the Mustang Mach-E was the second-best-selling crossover SUV EV in 2021, trailing only the Tesla Model Y.
Spearheaded by Farley, who recently commented that Ford would not abandon its Rivian investment, the playbook is relatively similar to the one EV leader Tesla used to launch its company from an unlikely success story to the most valuable automaker globally. The Elon Musk-led company used a product roadmap in its early days, primarily described in its Master Plan, to funnel its early projects into essentially fundraising campaigns for cheaper, mass-market vehicles in the future. It is unknown if Ford will use this strategy exactly, but the main goal is to transition its existing plants into EV production sites. Ford reached a market cap of $100 billion. The company’s valuation has increased 269 percent since Farley took office.
Ford doubles its F-150 Lightning production target again to 150k units per year
This is a task that will avoid turning the manufacturing facilities today into the stranded assets of tomorrow. Updating the factories will save Ford time, money, and workforce, as many of its employees will likely be trained to handle electric powertrains. Volkswagen made the same steps at some of its facilities in the past few years and provided on-site training for employees who decided to remain at its factories.
The additional $10 to $20 billion investment will supplement the already $30 billion investment that Farley detailed for Ford earlier. This investment will help Ford accelerate its EV commitment through 2024 and will quadruple initial production guidelines for the F-150 Lightning and triple Mustang Mach-E manufacturing efforts.
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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.”
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
