News
Tesla Autopilot and FSD Beta can be a remedy for drivers with PTSD — even in their imperfect state
It took Tesla owner Matthew Kerle a whole month to get behind the wheel of a car and drive on the highway once more. And when he did, things were not the same.
Just a few weeks before, Kerle was riding in his friend’s Pontiac Grand Am when the driver approached a sharp curve too fast. It was dusk, and the road was unfamiliar. Upon realizing that they were about to crash, Kerle braced for impact, planting his feet on the car’s floor and clenching his iPhone as tightly as he could in his hand. The driver tried to slow down, but it was not enough, and the vehicle started rolling. The impact was so violent that Kerle’s iPhone and shoes were wrenched from his hands and feet.
Things moved in slow motion at that point. Kerle hoped that the vehicle would roll a couple of times and he and his friends could get out. But it was not to be. Rolling in a car is one of Kerle’s biggest fears, but he steeled himself, hoping that the vehicle would eventually stop. It did, but the rolling sensation and shower of broken glass were quickly replaced by a sudden rush of cold, dark water. Unlike in the movies where the water slowly rises when a car falls into water, Kerle and his friends were immediately submerged.
The aftermath of Kerle’s accident. (Credit: Matthew Kerle)
It took a significant degree of faith and some luck, but Kerle was eventually able to get out of the overturned Pontiac. Upon reaching solid ground, he saw that his four other friends were still underwater. Injured, exhausted, and shaking from the experience, Kerle called out for his friends. Fortunately, all four emerged from the water, some more injured than the others. But the group’s tribulations were not done yet, as they had to walk almost a mile to find help. Kerle ended up in the hospital, where he recovered from his injuries. But as he went home days later, he realized that things were no longer the same.
The harrowing experience with the crash and near-death experience gave Kerle PTSD. He found himself unable to drive at speed or at night. Going over railroad tracks was a trigger, and even showers were not a respite as the sound of the water hitting his ears triggered flashbacks of the accident. Kerle’s physical injuries healed, but the mental scars of his near-death experience stayed. He eventually started driving again, but it was a constant mental battle. He could drive, but there were still times when the trauma of the accident came back.
A Hidden Issue
Kerle’s experience is not unique among American drivers. A survey conducted by online insurance comparison service The Zebra revealed that about 66% of Americans experience driving anxiety, with 55% reporting that they feel it while performing common driving maneuvers. Out of those who experienced anxiety behind the wheel, 26% stated that they were most anxious when merging into the highway and 19% stated that they were most anxious when they are backing up or reversing. About 62% of Americans also reported having a past traumatic driving experience.
Dr. Rachel Cavallaro, a licensed Psychologist with Thriveworks in Boston, informed Teslarati that vehicular accidents are the leading cause of post-traumatic stress disorder in the general population. Considering that there are 6 million car accidents in the United States with over 2.5 million injuries, this is not a surprise. A study from the American Psychological Association also revealed that car accidents are the number one trauma for men and the second most frequent trauma for women. A study conducted by the National Institute of Mental Health (NIMH) further revealed that 39.2% of motor vehicle accident survivors develop some form of PTSD as well.
Credit: The Zebra
“Many people with these conditions avoid driving altogether. If they do decide to drive, they endure it with intense anxiety such as heart palpitations, sweating, muscle tension, an underlying feeling of restlessness, or irritability. These individuals may go to great lengths to avoid highways or roads they view as dangerous. For individuals who have PTSD symptoms, they may have intrusive thoughts or memories which further interfere with their ability to attend to the road. In more severe cases, the individual may experience flashbacks or dissociate,” Cavallaro said.
Needless to say, Kerle’s experiences and the challenges he faced in his recovery are shared by numerous other drivers in the United States. Jay Varela, a therapist from Thriveworks in Roanoke, outlined some of the issues typically faced by drivers who struggle with PTSD on the road, and Kerle’s experiences were on the dot.
“It can be extremely challenging for someone suffering from PTSD or driving phobia to drive a vehicle on their own. Individuals with PTSD struggle with ‘triggers’ that remind them of their traumatic experiences. Vehicular accident survivors can experience many triggers while driving, such as the makes and models of cars, weather conditions, or noises. Such triggers can lead to a fight-or-flight response. Fight-or-flight responses can make it difficult to maintain safe driving habits. Furthermore, individuals may engage in ‘safety behaviors’ to manage their symptoms. These can include stopping suddenly, driving well below the speed limit, or becoming fixated on the rearview mirror,” Varela said.
An Imperfectly Useful Solution
For Kerle, his driving experiences took a turn for the better in 2019 when he took delivery of his Tesla Model 3. By then, he was living in a Phoenix suburb and his commute was very long. Since electric vehicles have lane access, he figured that a Tesla could help him get to work and home faster. Kerle admitted that Tesla’s tech intrigued him, and because he is more of a tech guy than a car guy, he could not stay away from Autopilot. It should be noted that back in 2019, Autopilot is nowhere near as refined as it is today, but for Kerle, it was already life-changing.
“When you work with a system long enough, you start to understand it,” Kerle told Teslarati, adding that when he first got Autopilot, he tended to distrust the driver-assist system since it would behave differently than a human driver. But over time and as he got more used to Autopilot’s behaviors, Kerle started realizing that Tesla’s driver-assist technologies are really optimized for safety. The car may not behave like a human driver at times, but it is careful nonetheless.
“After a while, you’re like, ‘All right, I know in situations like this, here’s how it’s going to respond.’ It is going to slow down three car lengths nearby. It’s gonna make it. It’s not gonna cause an accident. And then you start to build a trust and an understanding. And so what I’d say is that you really learn what (Autopilot) does really well and areas that it might not be perfect. You can’t just blindly trust it to do everything and not pay attention, so I really view the relationship between a driver and FSD or Autopilot as a partnership, with the driver taking the role of a supervisor,” Kerle said.
Eventually, Kerle noted that even Autopilot’s rather strange behaviors are rooted in safety. He told Teslarati about an experience in which Autopilot moved over and sharply jerked back to its original lane. Initially, Kerle thought it was a bug that needed to be reported, but he soon realized that his car jerked back because a careless driver was speeding on the adjacent lane. Had he intervened then and completed the lane change, Kerle noted that he might have ended up being involved in a crash again.
“When you’re changing lanes, what do you do? You look in your mirror, you turn, you turn and look for cars, and your field of view is very narrow, and you’re taking your eyes off all of the other parts of the road. That is actually a very dangerous thing, and it causes a lot of accidents. Autopilot can see every direction. Now it understands time space. It understands based where cars are, where they’re doing to be, and what they’re doing.
“And it making a lane change is actually very safe because it understands what’s going on around it better than a human would. So I think that as supervisors, as it is shifting to become a lot better than humans in a lot of cases, one of the most dangerous things that we can do is take over when it actually has it, because we can mess it up,” Kerle said.
Kerle is now married with a growing family, so he has bought a Tesla Model X to make sure his kids are as safe as possible. He is also now part of the company’s FSD Beta program, which allows him to use automatic driving on inner-city streets.
An Infinitely Useful Work in Progress
For Cavallaro, the presence of driver-assist systems that take the stress of driving tasks is invaluable today since the systems could help reduce the fear of driving while increasing the feeling of safety. Varela adds that the presence of automated driving features in vehicles could help individuals suffering from PTSD or driving phobia maintain their independence.
“Many individuals with PTSD and/or driving phobia may feel unable to drive and this can lead to a loss of independence. Such a loss may have serious impacts on occupational, social, and overall personal functioning. Automated driving systems may help them regain their independence by reducing mental strain and safeguarding against dangerous safety behaviors,” Varela said.
Both Tesla Autopilot and FSD Beta are a work in progress, and there is also no denying the fact that the company’s self-driving efforts are running quite late. But having seen the rate of improvement in both Autopilot and FSD Beta, Kerle believes that it is just a matter of time before Tesla attains actual autonomous driving. Even in their current form and capabilities, Kerle highlighted that Autopilot and FSD Beta had shown him just how much stress manual driving could bring.
“Before I got my Model 3, because of my PTSD, I did not understand how much stress driving to work caused me. When I got FSD and when I got comfortable with it, I had significantly more energy and significantly less stress — by a significant margin — like, other people noticed. And so, I did not really understand how much stress driving and rush hour traffic for an hour each way adds to your life and how exhausting it is to your body. And FSD Beta, yes, you have to supervise and pay attention, but it still removes a massive amount of stress and exhaustion.
“I’m supervising, I’m making sure it’s driving safely, but I don’t have to worry ‘Is that car in front of me gonna slam on its brakes, and do I need to react in a quarter of a second or crash?’ ‘If I’m changing lanes, do I have to be stressed about a situation that I can’t see and can’t control, but need to see where I’m gonna crash?’ All of those little, little things that you’re constantly fixated on while you’re driving are removed to just ensuring that the system is driving properly and safely. The stress reduction is insane,” Kerle said.
A Note from the Author
As someone who deals with driving anxiety and sudden OCD tendencies on the road, this article strikes close to home. Unfortunately, Tesla is not available everywhere yet, and it’s no secret that the company’s vehicles, at least for now, still cater to buyers of premium vehicles. For those who shop at the lower end of the auto market, manual driving is still the norm, and it could be for a while. With this in mind, it is pertinent to know what to do to lessen the mental strain of driving, and where to seek help.
Ken Goodman, one of the board of directors for the Anxiety and Depression Association of America and the creator of The Anxiety Solution Series, informed Teslarati that drivers who are suffering from driving anxiety should start with easier forms of driving first, and work their way up to more difficult tasks later. Goodman noted that starting with neighborhood driving is a good idea, before transitioning to highway driving later on. Driving on the fast lane could also come later when drivers become a bit more comfortable behind the wheel.
Ultimately, however, Goodman advised that the best solution is still to see a therapist that specializes in the treatment of driving anxiety.
Cavallaro, for her part, added that Cognitive Behavioral Therapy and associated approaches could help drivers who are suffering from PTSD and driving phobia. “Cognitive Behavioral Therapy has been empirical validated and supported for PTSD as well as associated anxiety disorders. Additionally, Prolonged Exposure (PE) and Cognitive Processing Therapy (CPT) are specific forms of CBT that were created to treat PTSD,” she said.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Investor's Corner
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
