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Details behind Model X owner’s $5M+ class action lawsuit against Tesla
Following our report that a Model X owner has filed a class action law suit against Tesla, claiming a widespread defect in the vehicle’s onboard software causes sudden unattended acceleration (SUA), new details behind the suit have been obtained by Teslarati that shows a legal team aggressively targeting the core component to the Silicon Valley-based electric car maker’s fleet of vehicles.
The class action filed in federal district court claims Ji Chang Son – Korean star residing in Orange County, Calif. – crashed through his garage and into the living room of his home after his Tesla Model X accelerated suddenly and without warning on September 10, 2016, approximately one month after Mr. Son took delivery of the electric SUV. The suit claims that “Tesla has failed to properly disclose, explain, fix, or program safeguards to correct the underlying problem of unintended acceleration”, adding that “over sixteen thousand Model X owners with vehicles that could potentially accelerate out of control.
Son’s attorneys gave the court a full account of the development of the Model X, focusing on the company’s claim that the Model X is “the safest, fastest and most capable sport utility vehicle in history.” On the contrary, according to Son’s attorneys. They allege the Model X has a safety defect that permits the car to accelerate at full speed directly into solid objects, such as the exterior wall of Son’s home. In particular, they point out that 8 written complaints have already been filed with the National Highway Transportation Safety Administration from other Model X owners who report similar occurrences while driving their cars.
The lawsuit reads,
“Irrespective of whether the SUA events in the Model X are caused by mechanical issues with the accelerator pedal, an unknown failure in the electronic motor control system, a failure in other aspects of the electrical, mechanical, or computer systems, or some instances of pedal misapplication, the Model X is defective and unsafe. Tesla’s lack of response to this phenomenon is even more confounding when the vehicle is already equipped with the hardware necessary for the vehicle’s computer to be able to intercede to prevent unintended acceleration into fixed objects such as walls, fences, and buildings.
Despite repeated instances of Model X drivers reporting uncommanded full power acceleration while parking, Tesla has failed to develop and implement computer algorithms that would eliminate the danger of full power acceleration into fixed objects.This failure to provide a programming fix is especially confounding for a vehicle that knows when it is located at the driver’s home and is being parked in the garage, yet carries out an instruction, regardless of whether through an error by the vehicle control systems or by driver pedal misapplication, to accelerate at full power into the garage wall.
Further, not only has Tesla failed to fix the problems, it has chosen instead to follow in the footsteps of other automobile manufacturers and simply blame the driver.”
One problem, according to Son’s attorneys, is the software that controls the Automatic Emergency Braking system. Tesla has programmed that feature to disengage in order to allow drivers to make emergency maneuvers, “in situations where you are taking action to avoid a potential collision. For example:
- You turn the steering wheel sharply.
- You press the accelerator pedal.
- You press and release the brake pedal.
- A vehicle, motorcycle, bicycle, or pedestrian, is no longer detected ahead.”
In other words, say the attorneys, a Model X will drive straight into a solid wall if that is what the system thinks the driver wants it to do. “Apparently, this includes situations where the computer believes, rightly or wrongly, that the driver is commanding full power acceleration directly into fixed objects immediately in front of the vehicle.”
Class action lawsuits are complex and highly specialized legal actions. Federal law requires that the damages alleged for the entire class exceed $5 million. The plaintiff’s attorney have done so by claiming that Tesla is aware of at least two other instances in which drivers allege sudden unintended acceleration occurred while driving their Model X at low speeds. They then extrapolate those numbers to suggest that the rate of SUA incidents attributable to the Model X is 64 per 100,000 vehicles — substantially higher than for any other vehicle in history.
Page 12 of JI CHANG SON vs. TESLA MOTORS class action complaint
They point out that the incidence rate of SUA incidents for Toyota vehicles — which grabbed national headlines in 2010 — was far lower. They then go on to remind the court that Toyota paid several hundred million dollars to SUA victims as well as a $1.2 billion federal fine. Notice that the chart included in the pleadings shows an exaggerated and disproportionate projected SUA incidence rate for the Model X highlighted in bright red.
Tesla says its data retrieved from the vehicle’s blackbox shows the accelerator in Son’s Model X was fully depressed when the accident occurred. The question for the court will be whether the driver pressed the wrong pedal or whether the vehicle accelerated on its own. It is unclear whether a software failure would register the pedal as fully depressed even if it was not physically operated by the driver.
Plaintiffs always have the burden of proving their allegations. Attorneys for injured parties often rely on a legal doctrine known as res ipsa loquitur, which is Latin for “the thing speaks for itself.” Loosely translated, it means “we don’t know what is wrong with your product that you designed and built, but you know or should know.” Res ipsa loquitur shifts the burden of proof onto the defendant, which makes it much easier for a plaintiff to prevail in court.
One advantage the plaintiff gains from filing suit is the ability to discover what information Tesla has that is not yet public. Does Tesla know something it isn’t telling its customers? We may find out as this litigation goes forward.
We’ve provided a copy of the entire class action filing below.
[pdf-embedder url=”http://www.teslarati.com/wp-content/uploads/2017/01/Son-vs-Telsa-class-action-8-16-cv-2282.pdf”]
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
