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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.
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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
