Tesla and other companies are actively developing self-driving technologies and driverless ride-hailing platforms, and with President-elect Donald Trump’s transition team already focused on autonomous vehicles, the tech is highly expected to be a major theme in 2025.
According to a Reuters Breakingviews prediction report on Monday, Trump’s moves to minimize regulations surrounding autonomous vehicles and create a federal framework for the technology are expected to supercharge the industry—as increased competition emerges in the U.S. and beyond.
With Tesla CEO Elon Musk also set to play a large role in Trump’s administration, heading up the Department of Government Efficiency (DOGE), the company’s own developments in the sector could also stand to benefit substantially. Reuters also predicts that self-driving pilots could expand under the administration, especially as developers aim to increase the amount of data used to train their systems.
READ MORE ON SELF-DRIVING REGULATIONS: U.S. agency proposes rules for self-driving vehicle incident reporting
Last month, the Trump transition team said that it was already aiming to create a federal self-driving vehicle framework. Additionally, the team earlier this month was reported to be ditching federal requirements on automated driving tech crash reporting, coming as one example of the administration’s aims to streamline regulatory processes in the industry.
Internationally, the Society of Automotive Engineers (SAE) categorizes vehicle automation into five automation levels, which are generally adopted in conversations about robotaxis in the U.S. market as well. You can see these categories below, with Level 3 and above generally considered to be full automation, at least at times, while Level 2 and below are considered partial automation.
Credit: SAE International
According to the data firm Canalys, just 5.5 percent of vehicles sold this year have included Level 2 or more assistance features, such as cruise control and automated lane changes. By 2025, however, Citi research has suggested that models in China below 200,000 yuan (about $28,000) will have these features, playing a major role in consumer demand.
In China, at least 19 companies are currently testing fully autonomous vehicles, and Goldman Sachs expects the country to see as many as 90 percent of consumer sales to have features of Level 3 autonomy or greaterby 2040, compared to just 65 percent in the U.S.
While these technologies are emerging, McKinsey predicts that self-driving could become a $400 billion industry by 2035. Google parent company Alphabet runs Waymo, a Level 4 driverless ride-hailing service that already offers paid rides, while others, including Pony AI and Baidu also offer rentable self-driving vehicles in select areas.
BYD has invested $14 billion into self-driving, Toyota has around 1.7 trillion yen ($11.3 billion) going toward software, while Volkswagen has invested $700 million into China’s Xpeng Motors. Li Auto and Xiami are also considered potential competitors in these spaces, and 2025 could prove a big year for commercial self-driving hopefuls.
Tesla’s Supervised FSD program, Cybercab unveiled
Meanwhile, Tesla isn’t yet operating a paid ride-hailing service, though it gathers data through owner use of its Supervised Full Self-Driving (FSD) software. Tesla has touted the potential scalability of its Supervised FSD in the past, given that it’s available at least in some form in all of the company’s vehicles.
Musk has also regularly talked about a future in which owners of its vehicles could use an Unsupervised FSD to generate money by giving robotaxi rides while not normally in use.
On that theme, Tesla unveiled the Cybercab in October, a fully autonomous, two-seat vehicle with no pedals, set to eventually make it to the market as a driverless ride-hailing vehicle. It’s also set to be equipped with wireless charging and make use of an automated cleaning robot, offering top-to-bottom autonomy for owners.
MORE ON FSD SUPERVISED: Watch Tesla’s FSD v13.2 navigate away from park in a tricky situation
Tesla skeptics, Waymo’s driverless ride-hails, GM’s Cruise drives into the sunset
Despite the unveiling, some have shared skepticism around how long the vehicles could take to reach the market, especially given that production isn’t set to begin until 2026 with commercial deliveries aiming for “before 2027,” according to Musk during the October 10 “We, Robot” unveiling event.
On Monday, analyst Gary Black also predicted that fewer than 50 percent of Tesla owners would join the company’s robotaxi fleet, while a Guggenheim researcher in October said Tesla was “extremely unlikely” to reveal a credible path to robotaxi commercialization in the next 12 to 24 months.
Others like Waymo are some of the first companies operating paid driverless ride-hails, and the Google-run firm said in August that its robotaxis were already giving 100,000 paid self-driving rides per week. Meanwhile, General Motors (GM) announced this month that it will officially end funding for its commercial self-driving arm Cruise, after one of the company’s driverless vehicles last year ran over and pinned a pedestrian in San Francisco.
ALSO RELATED:
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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
