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Netherlands ranks 1st in autonomous vehicle readiness, US places 3rd
The recently-released Automated Vehicles Readiness Index (AVRI) report by auditing firm KPMG has revealed that the Netherlands is the world’s most autonomous vehicle-ready country. The AVRI, which ranks nations across the globe according to their readiness for self-driving technologies, has also placed the United States in third place, right behind Singapore.
KPMG International evaluated countries according to four particular pillars. To make it to the index’s rankings, nations must perform well on policy and legislation, technology and innovation, infrastructure, and finally, consumer acceptance. The countries’ scores for each pillar are then aggregated and ranked.
Topping the list was the Netherlands, which was the clear world leader in the AVRI. The European nation ranked 1st in infrastructure, 2nd in consumer acceptance, 3rd in policy and legislation, and 4th in technology and innovation. The country’s aggregated score was 27.73 points, placing it well ahead of other nations in the index.
According to an EE Times report, the Netherlands’ impressive performance was attributed largely to its AV-friendly infrastructure. As of writing, the Netherlands boasts the highest density of electric vehicle charging points in the world. By 2016, the European nation already offered 26,789 charging points for the public. The country is also known for its well-maintained road network, which is currently rated as one of the world’s best.
In a statement to Geospatial World News, KPMG Netherlands Digital Advisory Manager Stijn de Groen noted that the country, even at this point, is already prepared for the upcoming autonomous vehicle revolution.
“The Dutch ecosystem for AVs is ready. The intensively-used Dutch roads are very well developed and maintained, and other indicators like telecoms infrastructure are also very strong. In addition, the Dutch government Ministry of Infrastructure has opened the public roads to large-scale tests with self-driving passenger cars and lorries,” the KPMG executive said, according to a GWN report.
AVRI’s second-placer on its rankings is Singapore, topping the list both in policy and legislation as well as consumer acceptance. According to KPMG, the Asian city-state received high marks in these pillars due to its recent amendment to its Road and Traffic Act, which allowed autonomous vehicles to be tested on public roads. Singaporeans were also found to be readily accepting of self-driving cars as a means of transportation.
Singapore also ranked 8th in technology and innovation and 2nd in infrastructure. The Asian city-state earned an aggregated score of 26.08 points.
The United States ranks third in the AVRI, despite ranking first in technology and innovation. Among all the countries in the index, the US earned near-maximum ratings on industry partnerships and research and development hubs, among other factors. The country’s overall score, however, was hampered by its low ratings on patents and overall usage of electric cars. The limited adoption and actual capabilities of fully autonomous vehicles also contributed to the country’s score.
Overall, the US ranked 7th in infrastructure, 10th in policy and legislation and 4th in consumer acceptance. The United States’ aggregated score in the AVRI is 24.75 points.
In a statement to GWN, KPMG US Infrastructure Advisory Principal Timothy D. Wilschetz noted that the country, while highly innovative in the autonomous vehicle sphere, still suffers from several setbacks. Wilschetz believes, however, that US regulators have the power to change this trend.
“The US has a highly innovative but largely disparate environment with little predictability regarding the uniform adoption of national standards for AVs. Therefore, the prospect of widespread driverless vehicles is unlikely in the near future. However, federal policy and regulatory guidance could certainly accelerate early adoption, particularly concerning limited freight applications such as truck platooning.”
Top 10 countries most prepared for the future of autonomous transportation by KPMG
- Netherlands
- Singapore
- United States
- Sweden
- United Kingdom
- Germany
- Canada
- United Arab Emirates
- New Zealand
- South Korea
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
