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Americans aren’t sure if they’re ready for self-driving cars
As Tesla gets ready to unveil its new product on October 17 which many believe will be related to some form of Autopilot hardware update, we ask the question Are Americans really ready for self-driving cars? The answer really depends on who you’re asking. Four recent polls conducted by four different organizations received wildly different results when gauging whether the general population is ready to experience autonomous driving technology.
In April, a University of Michigan poll found less than 16% of respondents were willing to ride in a self-driving car. 46% said they didn’t want any self-driving features on their own cars. Another 39% told the U of M pollsters they only want some but not all autonomous driving features. 90% reported they want the car they are riding in to have a steering wheel and pedals regardless of what level of autonomy it features.
Kelly Blue Book released results from its recent national study which polled 2,200 people between the ages of 12 and 64 to see if they’re ready to embrace advancements in self-driving technology. 80% said humans should always have the ability to take over active control of their cars while 64% reported they feel the need to be in control of their vehicle at all times. Another finding reported by the Philadelphia Inquirer said 60% of poll respondent said they know little to nothing about self-driving cars.
These results caught the attention of the Consumer Technology Association (CTA) and prompted the group to conduct its own poll. When 2,001 people were asked about their opinion of self-driving cars, 70% told CTA they were ready to test drive a self-driving car. Almost as many said they were interested in replacing their current ride with a car that drives itself.
How can such contrary results be explained? Perhaps a more accurate picture of people’s attitudes comes from a survey conducted face to face by the Texas A&M Transportation Institute. It included both drivers and non-drivers over a wide range of ages. 36% said they were enthusiastic about self-driving cars while 18% said they had no intention of ever setting foot in one.
“My thinking on that is that as people learn more, that will sway them one way or the other,” said Johanna Zmud, a TTI research scientist who co-authored the study. “My personal opinion is that [enthusiasm is] probably going to get larger as people come to understand the benefits of the technology.”
That last statement may help explain why different surveys have such different results. It’s all in what questions are asked and how they are presented. Even experts have difficulty explaining the distinctions between the various levels of autonomy. The odds are that people taking an online survey might have an imperfect understanding of the questions they are being asked.
This may be the most important finding of all. According to the Philadelphia Inquirer, the CTA survey found 82% of respondents liked the idea that self driving cars could reduce injuries and deaths from drunk driving, drug use, or road rage.
One thing everyone can agree on is that awareness of self-driving technology is on the rise and the person most responsible for that is likely Tesla CEO Elon Musk. His single minded pursuit of systems that allow cars to drive themselves has made headlines ever since Autopilot was activated a year ago. Musk says one day self-driving cars will be as common as automatic elevators. That’s the kind of headline that gets people’s attention.
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
