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Jaguar I-PACE gets $3K ‘Tesla Conquest’ incentive in recent marketing push
With the electric vehicle market in the United States practically being dominated by the Tesla Model 3, veteran automaker Jaguar appears to be putting some effort into pushing its own premium all-electric vehicle, the I-PACE. Among these efforts is a rather unique marketing campaign that has started making its way through social media, highlighting potential savings of up to $15,000 from the I-PACE’s MSRP.
Based on the advertisement, the $15,000 total savings will be comprised of a $5,000 dealer discount, a $7,000 “Allowance Credit,” and an additional $3,000 “Tesla Conquest.” The ad, which could be viewed below, explains exactly what the I-PACE’s “Tesla Conquest” incentive entails.
“For an owner or a member of an owner’s household where a Tesla vehicle is currently registered (proof of ownership/registration is required). Limit one incentive per eligible VIN. Can be used towards the lease or purchase of a new, unused 2019 Jaguar I-PACE. No trade-in required. Not redeemable for cash. Incentive paid to dealer and requires dealer participation.”
Jaguar’s target demographic of choice is quite interesting, to say the least. It does, if any, suggest that the veteran British automaker is aiming to convert existing Tesla owners into I-PACE owners. This is a pretty common marketing strategy, though it does very little to help Tesla and Elon Musk’s aim of transitioning existing gas car owners to electric-powered transportation.
Such a marketing campaign could potentially backfire on the I-PACE as well, considering that the vehicle lacks the support of a Supercharger Network for convenient, near-effortless long-distance travel and other common Tesla amenities such as free over-the-air updates (at least for now). It is also quite noteworthy to see Jaguar specifically targeting existing Tesla owners, and not other EV enthusiasts who drive electric cars like the Chevy Bolt and the Nissan Leaf.
It should be noted that Jaguar’s recent marketing efforts appear to be quite Tesla-focused as of late. Apart from this recent marketing push, printed I-PACE materials also mention comparisons to Tesla and its electric vehicles.
The Jaguar I-PACE has earned multiple awards since its release. Just this past April, the I-PACE beat out its fellow “Tesla Competitor,” the Audi e-tron, to win the 2019 World Car of the Year, the World Car Design of the Year, and World Green Car of the Year awards. Overall, the I-PACE had gathered over 60 international awards from automotive industry groups and media publishers in areas such as design, handling and performance, technological innovation, and passenger safety.
The I-PACE appears to be experiencing some growing pains, with only select dealers in the United States being knowledgeable about the vehicle. This results in an ownership experience that has a hefty room for improvement. The I-PACE was also hit by a recall last June over a fault in the vehicle’s regenerative braking system, which could result in an “increased delay” when a driver hits the brakes and when the SUV begins slowing down.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
