News
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.
Elon Musk
Elon Musk teases crazy outlook for xAI against its competitors
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.
In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.
The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.
xAI will catch up this year and then exceed them all by such a long distance in 3 years that you will need the James Webb telescope to see who is in second place
— Elon Musk (@elonmusk) March 14, 2026
Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.
Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.
Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.
Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.
The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.
This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”
Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.
Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.
Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report
The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI
The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
Elon Musk teases crazy outlook for xAI against its competitors
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
