News
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 (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.
Elon Musk
Tesla Earnings: financial expectations and what we should to hear about
In terms of discussions, Tesla earnings calls are usually a great time to get some clarification on the company’s outlook for its current and future projects.
Tesla (NASDAQ: TSLA) will report its earnings for the first quarter of 2026 this evening after the market closes, and analysts have already put out their expectations from a financial standpoint for the company’s first three months of the year.
Additionally, there will be plenty of things that will be discussed, including the recent expansion of the Robotaxi program, the Roadster unveiling, and Full Self-Driving (Supervised) approvals across the globe.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.36, while revenues are expected to come in around $22.35 billion.
This would compare to an EPS of $0.27 and $19.34 billion compared to Tesla’s Q1 2025. Last quarter, EPS came in at $0.50 on $29.4 billion of revenue.
Tesla beat analyst expectations last quarter, but the next trading day, the stock fell nearly 3.5 percent. We never quite can gauge how the market will respond to Tesla’s earnings; we’ve seen shares rise on a miss and fall on a beat.
It really goes on the news, and investor consensus, it seems.
What to Expect
In terms of discussions, Tesla earnings calls are usually a great time to get some clarification on the company’s outlook for its current and future projects. Right now, the big focus of investors is the Robotaxi program, the Roadster unveiling, and what the outlook for Full Self-Driving’s expansion throughout Europe and the rest of the world looks like.
Robotaxi
Tesla just recently expanded its unsupervised Robotaxi program to Dallas and Houston, joining Austin as the first cities in the U.S. to have access to the company’s ride-hailing suite.
Tesla expands Unsupervised Robotaxi service to two new cities
Some saw this move as a quick effort to turn attention away from a delivery miss and an anticipated miss on earnings. However, we’ve seen Tesla be more than deliberate with its expansion of the Robotaxi suite, so it’s hard to believe the company would make this move if it were not truly ready to do so.
The company is also working to expand its U.S. ride-hailing service outside of Texas and California, and recently filed paperwork to build a Robotaxi-exclusive Supercharger stall.
Expansion is planned for Florida, Nevada, and Arizona at some point this year, with more states to follow.
Roadster Unveiling
The Roadster unveiling was slated for April 1, and then pushed back (once again) to “probably late April,” according to Elon Musk.
It does not appear that the Roadster unveiling will happen within that time frame, at least not to our knowledge. Nobody has received media or press invites for a Roadster unveiling, and given the lofty expectations set for the vehicle by Musk and Co., it seems like something they’d want to show off to the public.
The Roadster has become a truly frustrating project for Tesla and its fans; evidently, there is something that is not up to the expectations Musk and others have. Meanwhile, fans are essentially waiting for something that is six years late.
At this point, also given the company’s focus on autonomy, it almost seems more worth it to just cancel it, remove any and all timelines and expectations, and surprise people with something crazy down the line, maybe in two or three years. There should be no talk of it.
Full Self-Driving Global Expansion
We expect Musk and Co. to shed some details on where it stands with other European government bodies, as it recently was able to roll out FSD (Supervised) to customers in the Netherlands.
Spain is also working with Tesla to assess FSD’s viability as a publicly available option for owners.
With that being said, there should be some additional information for investors as they listen to the call; no talk of it would be a pretty big letdown.
Optimus
There will likely be a date set for the Gen 3 Optimus unveiling, and we’re hopeful Tesla can keep that date set in stone and meet it. Not reaching timelines is a relatively minor issue, but a company can only do this for so long before its fans and investors start to lose trust and disregard any talk about dates.
It seems this is happening already.
Optimus has been pegged as Tesla’s big money maker for the future. The goals and expectations are high, but it is a privilege to have that sort of pressure when investors know the company’s capability.
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
SpaceX is following in Tesla’s footsteps in a way nobody expected
