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‘Tesla Killers’ are struggling to live up to their names
Given the struggles faced by most new electric vehicle (EV) releases over the last few years, it may be time to put away the phrase ‘Tesla Killer’ in favor of a more realistic label like ‘Tesla Kind-of Competitor.’ With brands like Faraday Future and Fisker Inc. already come and (almost) gone in the same EV arena that Tesla continues to thrive in, each new entrant looks to be the next at-risk for being an ‘also-ran’ in the quest for success in the consumer market.
As more tech knowledge is gained, supply deals are made, and Tesla continues educating potential buyers about the positive realities of electric car ownership, perhaps the ‘Tesla Killer’ label will be bandied about again. In the meantime, however, competitors like the Jaguar I-PACE and the Audi e-tron are left with the cold, hard reality: They’re just not Tesla, and that’s not yet a good thing for shoppers to be thinking about their product right now.
“If a customer is choosing the I-PACE over the comparable Tesla, they are making the conscious decision: I don’t want the Tesla,” said Ed Kim, an analyst at the car-market research and consulting firm AutoPacific, as quoted in an article on Bloomberg about Tesla’s struggling competition. “You really have to be someone who doesn’t like Tesla, who doesn’t want the Tesla product, in order to go for this.”
The e-tron and the I-PACE might actually stand a good chance at breaking into a market dominated by Tesla given their brands’ experience and financial resources in the automotive world already. As Bloomberg’s article pointed out, their sales numbers are going to have to perk up soon, though, and given some advertising tactics taken up by both brands, they’re aware of this need. Jaguar is currently offering a $3,000 ‘Tesla Conquest’ incentive, meaning current Tesla owners buying an I-PACE will receive an additional $3,000 credit towards their purchase as part of a combined $15,000 savings package program. Last month, Audi infamously decided to block Superchargers in order to spark marketing-driven conversations with Tesla owners there to ‘fill’ up.
There are a variety of reasons why ‘Tesla Killers’ aren’t living up to their name – some are speculation and some have pretty solid facts to support their case. Getting a late start in the EV game is probably the most glaring shortcoming of Tesla’s competitors, but that’s not always the determining factor. Although Tesla is lauded as a technology company that also makes cars, a sentiment expressed to applaud their achievements, there’s no rule saying they will keep that crown forever. (My source: Pirates of Silicon Valley meets Tesla Goes to China). With the kind of deep pockets legacy auto still has, they could throw their money around and make some magic happen there, if you will.
Education of the sales force seems to be a serious shortcoming as well, especially according to owners who’ve experienced it directly. In early July this year, one Jaguar I-PACE owner shared a very frustrating tale with Teslarati which involved his car failing to meet its stated battery range by a significant amount, a lack of working charge stations, and delays in servicing due to limited know-how when it came to the company’s new electric vehicle. Tesla is often chided for its growing pains in service, but legacy auto doesn’t always have a pristine record, and Tesla is always working to improve and can move at an incredible speed to do so.
Then there are theories put forth by people like Sandy Munro, a teardown specialist who has made waves in the Tesla community for his comments about the Model 3 manufacturing process. Commenting on the underwhelming battery range from Tesla competitors such as the Audi e-tron and the Jaguar I-PACE in an interview with Sean Mitchell of AllThingsEV, Munro noted that this is simply because of their lack of vertical integration. “(It’s) because they’re buying them from somebody else,” he mused. Other comments made in the interview involved the long-term nature of any battery development outside of Tesla and the major battery manufacturers thanks to patents and licensing requirements. In other words, Jaguar and Audi might not be victims of ‘you snooze, you loose,’ per se, but rather ‘you don’t stay awake, you pay.’
To the extent that it’s amusing watching Tesla move so far ahead in the EV race, it’s not a terrible thing if they end of sharing the stage a bit with others down the road. Elon Musk has noted on several occasions that Tesla alone can’t achieve the total transformation that’s needed to achieve his sustainability goals. It’s good that others are trying, and a handful of actual ‘Tesla Killers’ that keep the brand on its toes is good for everyone, even those just in it for the cool factor. Better competition for Tesla means Tesla just gets better. Then they get better to keep up. And so it goes.
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
