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Jaguar I-PACE buyer shares ownership experience: range issues, regrets, Teslas, and why EV training matters
Umang Shah is the very definition of a “car guy.” Over his 20 years of car ownership, he has owned 19 vehicles of different styles and brands, from hot hatches to off-road-capable SUVs to high-performance station wagons. This is why, when premium electric cars with decent range and impressive performance started becoming more mainstream, Shah knew that the only question was which electric vehicle he will acquire.
If one were shopping for an electric car, one would likely look at Tesla’s offerings. For Shah, Teslas were incredibly impressive in terms of tech, and the Supercharger Network ensured that range anxiety would be a moot point, but their exterior design was just a bit too conservative. Interestingly, Top Gear host Chris Harris echoed these very same sentiments in a recent review of the Tesla Model 3 Performance.
Thus, after extensive research, Shah opted to purchase a top-of-the-line Jaguar I-PACE for around $90,000. The vehicle was critically acclaimed, having been praised by multitudes of reviewers since its release. It had also been sweeping awards left and right, such as the World Car Design of the Year and World Green Car of the Year awards this past April. The I-PACE was no Tesla in terms of tech, but it had all the accents of a premium automobile from a carmaker like Jaguar, from its luxurious cabin to its bold, aggressive design. Even its range, quoted by the EPA at 234 miles per charge, was decent.
For the I-PACE owner, everything that transpired when he walked into a Jaguar dealership in Edison, NJ, was a perfect example of how hindsight is always 20/20. When he was taking delivery of the vehicle, Shah noticed that the I-PACE was only showing 201 miles of range despite the battery being at 100%. Jaguar informed Shah that the range in the vehicle was “adaptive,” and that it would update over time as the crossover gets driven. Over the next 24 hours, the new EV owner drove his I-PACE, and it quickly became evident that the 201-mile range quoted in the vehicle during delivery might even be optimistic. The surprising scarcity of working fast chargers for the vehicle also tested the I-PACE owner’s patience.
Jaguar left a loaner and took in Shah’s I-PACE for repairs three days after the crossover’s delivery. Based on the I-PACE’s logs from its mobile app, Shah saw that the dealership’s staff charged the vehicle to 100% before going on an 89.5-mile trip, but by the end of the journey, the electric crossover only had 87 miles of range left. A few days after, Shah saw from his mobile app that his I-PACE had been driven for 3.9 miles, which caused a 14-mile drop in the vehicle’s remaining range. Things seemingly took a turn for the better, as the EV owner was informed by the Jaguar dealership a few days later that his crossover had been “patched” with an update related to an ongoing recall for the I-PACE’s brakes, and that it will be ready to be picked up the following day.
The dealership’s staff even added that the I-PACE was already charging in excess of 260-270 miles. Unfortunately, Shah received another call from the dealership right before he was scheduled to reclaim his I-PACE, informing him that the vehicle’s range issues have actually not been addressed. Looking at the crossover’s mobile app, Shah saw that his I-PACE had taken a 1.5-mile trip that ended up consuming 17 miles of range. At this point, the issue was escalated to Jaguar Land Rover corporate, and the I-PACE remained unusable. In a conversation with Teslarati, Shah stated that amidst his vehicle’s issues, it became very evident that Jaguar dealers were simply unprepared to handle an electric car like the I-PACE. They might have a network of dealers across the country, but with very little staff who actually know electric cars inside out, I-PACE owners could end up being left in limbo when issues arise.
Screenshots from the Jaguar I-PACE’s mobile app. (Credit: Umang Shah)
Shah was with his family when Teslarati spoke with him about his experiences with his Jaguar I-PACE, and during our conversation, the new EV owner sounded regretful. Shah sheepishly admitted that he chose the wrong car over a tried-and-tested EV brand like Tesla. With all the headaches he has developed due to his I-PACE’s range issues that Jaguar’s dealers simply can’t seem to fix, Shah stated that he would have been better off had he purchased the conservatively-styled Tesla Model X instead, since the larger SUV’s Long Range variant goes 325 miles per charge for $91,000 before incentives, and it has basic Autopilot as standard.
Shah is currently looking to get a refund for his I-PACE (or at least a replacement unit), and when asked if this experience has discouraged him from EVs as a whole, the car enthusiast stated that his next vehicle will most definitely still be electric. Though this time around, he would make sure that his EV will be a Tesla.
The experiences of Shah hint at one particular problem that could become tricky for veteran automakers amidst their electric vehicle strategies: releasing premium electric cars is one thing, but having a well-trained staff that knows the ins and outs of EVs and their technologies is another. Hopefully, carmakers such as Jaguar could improve in this metric, and other companies dipping their toes in the EV market like Mercedes-Benz, Audi, and Porsche, would adequately prepare their employees and dealers for the upcoming widespread adoption of electric transportation.
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
