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Tesla Semi lawsuit drags on with small victory for Nikola Motor
Almost two years ago, Nikola Motors surprised the trucking market by filing a $2 billion lawsuit alleging that the Tesla Semi copied several design elements from the Nikola One, the truck-maker’s flagship hydrogen long hauler. News about the patent lawsuit has been scarce for over a year, but recent updates indicate that Nikola has snatched a small victory from the Silicon Valley-based electric car maker.
Nikola’s case listed several characteristics of the One that were allegedly copied by Tesla. These included the Semi’s wraparound windshield, mid-entry door, front fenders, and the all-electric truck’s aerodynamic shape. To highlight its point, Nikola stated that the similar drag coefficients between the One (0.37) and the Semi (0.36) was further proof that the battery electric long hauler was copied from the hydrogen fuel-cell sleeper cab.
Excerpts from Nikola’s lawsuit pointed out that the Semi’s design had caused confusion among the One’s customers, diverting sales from the hydrogen truck maker to Tesla. Nikola also argued that these confusions might result in the Semi’s problems being attributed to the One, such as those resulting from Tesla’s batteries and Autopilot software. These, according to Nikola, are causing damage to its brand.
“Tesla has had problems with its batteries starting fires and its autonomous features causing fatal accidents. Should these problems arise with the Tesla Semi, the market will attribute these problems to Nikola because of the similarities between the two vehicles. Customers will also impute the Tesla Semi’s limitations (distance and charging time) to Nikola, which will make Nikola’s product less appealing to customers,” the hydrogen truck maker noted in its complaint.
Unfortunately for Nikola, cases that are centered on design patents are very difficult to prove. This point was especially highlighted in August 2018 when the US Patent Office awarded Tesla a pair of design patents for the Semi that actually listed the Nikola One as a reference, which meant that the examiner deemed Tesla’s design as unique. For Nikola to win its case against Tesla, it would have to prove that the US Patent Examiner made a mistake when comparing the Semi and the One’s designs, and that’s a very difficult point to argue.
Yet if recent tweets from Nikola CEO Trevor Milton are any indication, it appears that the hydrogen truck maker has stood by its lawsuit against Tesla. As it turned out, Tesla had filed a request with the Patent Trial and Appeal Board in September 2019 asking for a review to invalidate Nikola’s side door patent for the One. This request seems to have failed. Granted, it is a very small victory for Nikola, considering that it is fighting an incredibly steep uphill battle. Still, the dismissal of Tesla’s effort is a victory for the hydrogen truck maker nonetheless.
“Tesla loses bid to invalidate @nikolamotor patents in USPTO dispute. USPTO not only upheld Nikola semi truck important patents but refused Tesla’s ask to modify our patents. Two billion-dollar lawsuit moving forward. We will defend our company’s IP no matter who it is,” Milton wrote on Twitter.
In a statement to Forbes, Nikola Chief Legal Officer Britton Worthen lauded the decision, stating that the development was “obviously favorable” and that the company believes the matter was “decided correctly.” Tesla, for its part, has declined to comment. That being said, a Tesla spokesperson has noted in the past that “It’s patently obvious there is no merit to this lawsuit.” Elon Musk does not seem to be bothered by the suit either, noting in a previous earnings call that the entire situation is a case of fate loving irony.
Ultimately, the Nikola One may very well be beaten to the market by the Tesla Semi. While the One was unveiled prior to Tesla’s all-electric truck, prototypes of the Semi have been conducting real-world testing since the vehicles were unveiled. Recent sightings of the all-electric trucks suggest that the vehicles are now being tested in harsh conditions. This hints that Tesla may actually be on track to start early production runs of the Semi sometime later this year, as hinted at by the company in the past. Nikola, for its part, seems to be on track to release the Nikola Two, a shorter-range, battery electric truck, before the One. The company expects to start production of its trucks next year.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
