Amidst a major auto industry shift to electric vehicles (EVs) and software-driven mobility, a new survey shows that almost all drivers want to have ownership over their own vehicle data—though consumer awareness on data privacy and ownership are still lacking.
As part of a survey of over 1,300 adults who lease or own vehicles that they drive at least once a week, car insurance app Jerry reported last month that 96 percent of respondents said they should be able to own any data generated by their vehicles. Similarly, 78 percent of those surveyed reported that they were either uncomfortable or extremely uncomfortable with having their data collected by automakers already.
You can see a few insights from the survey below, or check out the full report here.
Credit: Jerry Credit: Jerry Credit: Jerry
“People were nearly unanimous” in “thinking that they should own the data that is generated by their cars,” said Henry Hoenig, Jerry data journalist, in a statement to Automotive News.
The results come as many companies plan to use vehicle data as a consistent revenue stream, including manufacturers, insurance providers, and data brokers. On the consumer side, many may not be fully aware of how their vehicles are being connected to the internet, nor how their data is being used.
Data Collection in Modern Cars and Consumer Awareness
Teslarati spoke with Andy Chatham, co-founder of the connected vehicle platform Digital Infrastructure for Moving Objects (DIMO), about vehicle data ownership and privacy. He notes that modern cars include substantial amounts of data collection, such as Tesla’s 360-degree camera view around the cars as just one example. However, he also says that consumers are less likely to be aware of their vehicles’ data collection practices than they are with their cell phones.
“Generally, your vehicle is the most expensive or the second most expensive asset that you own, and traditionally people are very aware that their phones and their computers are connected to the internet,” Chatham said. “But especially with modern cars, it’s not always obvious that the car is also connected to the internet.”
Chatham says that most automakers aren’t generally following best practices surrounding cybersecurity, noting that many let third-party sub-contractors make those decisions for them, alongside other companies in the supply chain.
“Generally, [automakers are] not following best practices when it comes to how the vehicles are networked and how cybersecurity practices are implemented,” Chatham adds.
“I see a pretty big transition from the world of buying a phone and understanding that this is a device that has a lot of data collection going on, and buying a car and maybe acknowledging that once at the beginning, but never really understanding what that actually means.”
Chatham also says companies should open up their APIs for other developers to create applications using that data, and let vehicle owners access their own vehicle data and toggle permissions directly from their cars—not unlike what Tesla is currently doing.
However, even Tesla’s approach to vehicle data may leave a few things to be desired, and the company is one of many automakers to have faced legal action over the matter. Still, the DIMO co-founder estimates that Tesla is roughly three to five years ahead of the industry, perhaps except for Rivian.
Chatham also notes that as applications for car data improve more and more, and perhaps even offer certain data monetization options for consumers, owners will become more aware of vehicle connectedness. Still, the transition to this new public paradigm could be tricky for both consumers and developers.
“In order for that to even exist in the first place, there’s a chicken and egg problem, because developers don’t want to go cut separate deals with 10 different OEMs and get them to like agree to certain terms and use different APIs. They just won’t,” Chatham adds. “They just want to build to one thing, which is what they’re used to with both. It’s honestly a big enough pain in the ass to get developers to build an iOS and Android app and deal with two separate terms of service.”
“In the car world, Toyota is the biggest automaker and they’re, what, like 15 percent of cars? So it’s not the same dynamic, and then choice is the biggest thing that allows people to protect their own privacy because a lot of consumers don’t care.”
Automakers and the Use of Vehicle Data
Earlier this year, General Motors (GM) reported ceasing a partnership with one data broker, after discovering that the company had been selling customer data to insurance companies without gaining their consent. Public backlash ensued, and affected consumers said they witnessed inexplicable increases for their monthly insurance premiums, which were ultimately traced back to the telemetry program that had shared their data.
Ford and Progressive Insurance were involved in a similar case that brought data ownership and privacy to light in 2022. Last year, Mozilla said that all 25 car companies it examined as part of a study on privacy collected more personal data than necessary, even calling them “privacy nightmares.”
Unlike some companies, Tesla doesn’t sell or rent consumer data to third-party companies, though it does collect driver information on a fleet scale for its own purposes, as the company explains on its website.
“We’re committed to protecting you anytime you get behind the wheel of a Tesla vehicle. That commitment extends to your data privacy,” Tesla writes on its web page dedicated to the topic of privacy. “Our privacy protections aim to go beyond industry standards, ensuring your personal data is never sold, tracked or shared without your permission or knowledge.”
Tesla Insurance data has driven changes to vehicle design: Elon Musk
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Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.
The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.
End of an era: Decommissioning the original Model S & X assembly line in just 46 days pic.twitter.com/kGEdfhl62h
— Tesla Manufacturing (@gigafactories) July 10, 2026
The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”
Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.
The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.
This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.
Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.
Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.
Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.
As one era closes at Fremont, another is rapidly taking shape.
Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.
In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.
Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.
The tone shifted dramatically from dismissal to acknowledgement of superior performance.
I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon.
And I would never cut them off in a way that hurt them badly, even as a competitor.…
— Elon Musk (@elonmusk) July 9, 2026
The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.
SpaceXAI signs agreement with Anthropic for massive AI supercomputer access
Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”
To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.
Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.
Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.
These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.
Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.
A Tesla analyst believes the company’s Full Self-Driving suite is close to an “inflection point,” where people will finally realize that it is more than what it appears, similar to how many view the iPhone.
Pierre Ferragu, an analyst who has covered Tesla for many years at New Street Research, says the Full Self-Driving suite is one piece of evidence supporting the view that a Tesla is more than a car. He compared it to the iPhone and noted that the high price tag seemed like a lot for a phone early on. Then people realized the iPhone was more than just something you make calls with. It made their lives simpler.
🚨 Analyst @p_ferragu says Tesla Full Self-Driving is at an “inflection point” in a recent commentary:
“A Tesla is not a car, the same way an iPhone was not a phone. As a tool that gets you to work peacefully every morning, it is not expensive. Give us 2 more quarters to see… pic.twitter.com/tm6xFrjVPV
— TESLARATI (@Teslarati) July 10, 2026
Suddenly, that price tag was justified.
Tesla offers several models under the average transaction price for a new vehicle, which was above $49,000, according to Kelley Blue Book. However, that does not take into account that many people can still not afford a $35,000 vehicle. Ferragu offers his thoughts:
“Remember when the addressable market of the iPhone was 10 million units? Then people realized how good it was, and now, nearly 250m are sold every year.
A similar evolution for Tesla is still on the table. A Tesla is not a car, the same way an iPhone was not a phone.
A model 3 at $35k + $100 per month is too expensive for most, but only as a car, the same way a $600 iPhone was too expensive for most, until most realized it was much more than a phone.
As a tool that gets you to work peacefully every morning, it is not expensive.”
This point is valid, especially considering the iPhone’s impact on the cell phone market. There are still a handful of players, but most people you know have an iPhone. The iPhone ties into Apple’s other ecosystem of products.
This is how Tesla plans to infiltrate the automotive market, and once the company offers a fully autonomous suite, or something that can allow for unsupervised self-driving, more and more people will flock to Tesla.
Ferragu believes Tesla needs two additional quarters of development before things will truly change. He didn’t elaborate on what will happen in two quarters, but he said it will give us all time to “see where this is heading.”
It is really quite interesting to see people’s reactions when they find out what a Tesla is capable of. Full Self-Driving is a great tool for taking stress out of travel; I use it daily, and it has made it really difficult to consider taking any other car on a drive of practically any length.
To me, it is really hard to believe that people will not at least seriously consider a Tesla as their next car if they experience Full Self-Driving. This is a major point for those who argue that Tesla should advertise in some way.
Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont
Elon Musk admits he was ‘clearly wrong’ about Anthropic
