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Lucid CEO and former Model S designer throws shade at Tesla fans, likens group to ‘old petrol fanboys’

Credit: Vimeo | Lucid Motors

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When Peter Rawlinson left Tesla in 2012 just before the Model S launched, he probably did not think that his former employer would one day end up becoming the leading force in the electric vehicle industry.

Now the CEO and CTO of Lucid Motors, Rawlinson is gunning for Tesla’s title as the supreme EV maker. He believes the company’s first sedan, called the “Air,” has all the potential to help Lucid overtake Tesla, effectively silencing the “fanboys,” a group of enthusiasts who are widely supportive of the electric car maker and its CEO, Elon Musk.

Peter Rawlinson spent his illustrious automotive sector career at Jaguar and Lotus before joining Tesla in 2008. He left Elon Musk’s Model S engineering team in 2012 and joined Atieva, now Lucid Motors, in 2013 as the Chief Technology Officer. He still holds that title, but another accompanies it as of April 2019: Chief Executive Officer.

In a recent interview with MotortrendRawlinson talked about his company’s technology that he believes will pass Tesla, the “fanboys” of Elon Musk’s company, and why the success of the Model S is, at least in part, because of him.

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A pre-facelift Tesla Model S. (Credit: Tesla)

Lucid unveiled the Air in December 2016. Lucid and Rawlinson both claim the vehicle will be capable of 1,000 horsepower and 400 miles of range per charge. While a prototype of the Air managed to prove its range is for real, the horsepower claim is still untested, and Rawlinson knows the doubters still exist. “When I claimed that we would have a 1,000-hp car, or have over 400 miles of EPA five-cycle range, nobody believed it,” he said to MotorTrend’s Kim Reynolds.

His claims do not stop there, however. Rawlinson says the Air will be better than the Model S in every way possible as it equips a power unit capable of more power density than Tesla’s most powerful vehicles. “We’ve got 16.7 kW-per-liter [power density] in our power unit. No one has done that. Tesla hasn’t done that,” he said.

Rawlinson certainly seems like he is motivated by those who speak about Lucid in a bad light, and it is all too familiar for him. “Now I’m having a sense of déjà vu, with history repeating itself,” he says. “Lucid is being put down by Tesla fans. Those old petrol fanboys are the current Tesla fanboys. Very similar rhetoric.”

However, Rawlinson’s rhetoric about his former employer isn’t squeaky clean, either. In 2019, he stated Tesla is not a real luxury brand. “You only have to get inside a Tesla to recognize it’s not really a luxury car. It’s a premium car but not true luxury,” he said.

The Lucid Air. (Credit: Lucid Motors)

Perhaps this is why Tesla “fanboys” have been critical of Rawlinson’s new project. Tesla CEO Elon Musk has always said that its competitors are never going to be companies with the same sustainable mission. The companies that are looking to advance petrol-based technology are the real enemy. While there are Tesla fans who are competitive, many are embracing the transition to electrification as a positive thing. Perhaps it is not about the cars at all, but what Rawlinson has said about Tesla in the past.

Additionally, during the interview, Rawlinson says his influence is the reason for the Model S’ success in the electric industry. “Model S was actually styled before I joined Tesla. My task was to retrospectively fit all the bits into it. It was a pretty interesting intellectual puzzle to design a car from the inside out,” he says.

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Later in the interview, Rawlinson goes on to say that his thirst for perfection was the reason the Model S became such a successful vehicle. His constant nit-picks and desire to do better drove Tesla’s first sedan to become the pioneer of electric transportation. “But everybody on the Model S team knows I was all over every detail and drove everybody crazy trying to create a car that had to be better and better in every way,” he said.

Rawlinson’s project with Lucid was to be unveiled at the New York International Auto Show last week, but the COVID-19 pandemic effectively shut down all large gatherings. However, the vehicle is scheduled to begin production in late 2020 after its new facility in Casa Grande, Arizona, is complete. Whether the car will live up to its lofty expectations remains to be seen. Still, Rawlinson’s development of the Model S shows he is capable of breaking barriers, and the Air could be the electric industry’s next big thing.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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.

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Credit: NVIDIA

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.

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.

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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.

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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.

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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.

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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.

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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.

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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.

tesla-optimus-pilot-production-line

(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.

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.

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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.

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Credit: Grok

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.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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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.

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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.

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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.

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.

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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.

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