Toyota will focus on developing local production and supply chains in China and the United States to boost electric vehicle sales.
The new President and CEO of Toyota Motor Corporation (TMC), Koji Sato, revealed the Japanese automaker’s plans in the electric vehicle market (EVs).
Toyota remained the top-selling automaker in the world for three consecutive years in 2022. However, the rise of battery electric vehicles (BEV) might threaten Toyota’s crown. The Japanese automaker has been a little late in joining the BEV race. This year, though, Toyota appears to have realized the potential of BEVs in the auto industry.
Earlier this month, TMC announced the launch of 10 new BEVs with a target sales goal of 1.5 million units by 2026. Toyota aims for significant growth in the BEV market. It is a smart move, considering that BEVs might be the future of the whole auto industry. Many countries are choosing to phase out internal combustion engine vehicles and support clean, energy-efficient cars.
Part of Toyota’s strategy for growth includes localization in China and the United States.
“In areas where there is an acceleration in the shift towards battery EVs, like China and the US, we need to be bold with local production,” said Toyota’s new CEO in a group interview over the weekend.
China’s Place in the BEV Market
The Chinese auto market is the world’s largest vehicle market, making it a prime target for Toyota’s goals. China is vigorously supporting clean energy vehicles, including BEVs and plug-in hybrids.
Japanese automakers posted the sharpest sales decline in China against foreign brands. The Financial Times attributed Toyota’s sales decline to its slow rollout of BEVs. FAW Toyota and GAC Toyota in China ranked 9th and 10th—respectively—in the China Passenger Car Association’s (CPCA) list of Top 10 Chinese automakers by retail sales. For comparison, Tesla–which only sells BEVs–ranked 7th place.
The CPCA reported Toyota’s 23.5% year-over-year (YoY) decrease in sales in January–including ICE and BEV sales. By February, Toyota reported a decline of 12.2% YoY in sales, with a slight increase of 0.9% year-to-date (YTD). Lastly, in March 2023, Toyota sold 136,400 units in China, down 18.5% YoY. Its sales volume in China by the end of Q1 2023 was 379,900, down by 14.5% YoY.
The US IRA’s Impact on the BEV Market
The United States has also shown full support for battery electric vehicles, specifically with the Inflation Reduction Act (IRA). The IRA provides incentives to support BEV production within the United States or any country with a free trade agreement with the US. It also includes tax credits for BEV purchases.
The IRA has significantly affected the BEV market worldwide since it passed. Many companies outside of the United States have already started working with American companies to build BEV components in the United States. For instance, South Korean battery supplier LG Energy Solutions is working on the construction of battery production facilities in the United States with Ford and Tesla.
Toyota Motor North America (TMNA) reported saw an uptick in electrified vehicle sales in the first quarter. In March, electric vehicles made up 27.5% of TMNA’s total sales volume. TMNA sold a title of 469,558 vehicles in Q1 2023, down by 8.8% by a volume and daily selling rate (DSR) basis. It sold approximately 118,836 elective vehicles, accounting for 25.3% of total sales volume.
“With 22 electrified vehicle options between both the Toyota and Lexus brands, the most among any automaker, we’re giving customers a choice that fits their lifestyle, pocketbook and needs,” said Jack Hollis, TMNA’s executive vice president of sales. “We continue to make improvements to our vehicle inventory to satisfy customer demand, while doing all we can to exceed expectations as we introduce more electrified vehicles throughout the balance of 2023.”
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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
