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The 'Tesla Effect' isn't inspiring legacy carmakers in the US, and dealers are to blame

(Photo: Andres GE)

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A look at recent announcements from legacy automakers would give the idea that the electric car revolution is at hand. GM recently announced a massive $20 billion push for electrification. Volkswagen’s CEO is quite literally putting his career on the line to make a mass-market electric car, and Porsche has given one of its most historic sites an “open-heart surgery” just to make an all-electric sports car. Across the board, the “Tesla Effect” seems alive and well, with automaker after automaker announcing their support for electric vehicles. 

Yet for all these statements and promises, the EV revolution, at least in the US, does not seem to be going as fast as it could be. In fact, it appears that for many US auto dealerships, it would be better if the transition to electric vehicles happens far into the future, or better yet, never. This was according to a brief trip by Chevy Bolt owner and CNET founding member Brooke Crothers, who recently got a sobering look at the sheer apathy among US auto dealerships when it comes to EVs. 

Amidst legacy auto’s accelerating electric car programs, Crothers opted to visit one of the largest auto malls in the United States, located at Cerritos, CA. The Golden State is considered the center of America’s electric car movement, being the home of Tesla and one of the country’s strictest emissions programs. Thus, it would only make sense if the electric car revolution is evident in the state’s car dealers. Unfortunately for the tech veteran, he soon learned that this was not the case. 

GM CEO Mary Barra speaking at the company’s EV Day on March 4, 2020. Credit: Tesla Daily Podcast

Crothers visited numerous automakers, starting with GM, which currently sells the Bolt EV, an electric car that is pretty comparable to the Model 3 Standard Range Plus in terms of range. The GM dealership did not have a single Bolt available on the lot. Instead, the only thing that potential car buyers could find are gas guzzlers like Silverado trucks, cars like the Corvette and Camaro, and large SUVs like the Suburban. This is quite disappointing considering that GM actually has a history of being a first mover in sustainable transport, with cars like the EV1 and the Volt under its belt. 

Volkswagen’s dealer was no better. The German automaker is in the middle of a massive electric car program, one that CEO Herbert Diess considers as his personal project. Crothers stated that the VW dealer he visited only had the e-Golf available, which is an electric car from the bygone era of compliance vehicles. It remains to be seen if the company’s EV initiative in Germany will spill over to the US, but for now, Volkswagen’s electric car program in the United States seems substandard at best. 

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Acura seems to be among the worst, with a salesperson telling Crothers that there is no future in electric vehicles. Gas will rule, the automaker’s representative said, and the only viable way for sustainable transport are fuel cell hybrids. The dealership also stated that they only sold “a couple” of hybrid MDX vehicles in the past 12 months. “There’s no demand,” an Acura salesperson said. 

Tesla CEO Elon Musk and Volkswagen CEO Herbert Diess exchange compliments at an award ceremony. (Credit: YouTube/AUTO BILD)

Some legacy automakers did show some degree of the “Tesla Effect,” with Nissan, Honda, Hyundai, and Audi having some electric vehicles in their lot. Nissan actually had a Leaf available, and Honda had several Clarity models in its showroom window. Hyundai was even better with staff being ready to answer questions about the Kona EV and the Ioniq (though both vehicles were in the dealer’s back lot). The same was true for Audi, whose staff seemed knowledgable and enthusiastic about the e-tron. 

The “Tesla Effect” is a series of initiatives from numerous industries that follow one theme: The end of the oil age and the beginning of the electric era. This effect has taken hold in the auto sector, as young carmaker Tesla ended up disrupting several industries with vehicles like the Model 3. The “Tesla Effect” is only bound to get more prominent too, amidst the company’s focus on residential solar and battery storage, as well as the release of potentially high-margin vehicles like the Model Y and the Cybertruck. 

Across the auto industry, the “Tesla Effect” could be seen, with practically every automaker in the industry seemingly going all-in on their respective electric car programs. All-electric newcomers with a lot of potential are poised to enter the market as well, led by independent companies like Rivian and Bollinger, and sub-brands such as Polestar. Overall, legacy automakers seem ready to embrace electrification. They just need to persuade their dealers to put effort into selling their EVs. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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.

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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.

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.

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.

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.

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