U.S. President Donald Trump formally launched tariffs on imports from Canada, Mexico, and China over the weekend, a decision that is widely expected to have sweeping implications for Tesla, other automakers, and a broad range of other industries.
The Trump administration announced the news on Saturday, effectively establishing a 25-percent tariff on Canadian and Mexican imports as well as a 10-percent tariff on products from China. The tariffs will go into effect on Tuesday, and they have already caused ripple effects and a larger trade war with some of the companies.
Canada Prime Minister Justin Trudeau and Mexico President Claudia Sheinbaum spoke on the phone over the weekend, and while Sheinbaum hasn’t yet formalized or disclosed plans for counter-tariffs, Trudeau announced some on Saturday evening, according to Reuters. In the announcement, the Prime Minister said that Canada with also establish a 25-percent tariff on $155 billion worth of products from the U.S.
Trudeau has said that the government will release an updated list of products and tariff details, though the initial list included products such as certain appliances, beer, wine, lumber and other goods. He also says that the government plans to start with $30 billion on Tuesday, as followed by the additional $125 billion later this month.
The Trump administration says the tariffs are aimed at “addressing an emergency situation” related to the import of illegal drugs including fentanyl, along with pointing the blame at illegal immigrants.
“President Trump is taking bold action to hold Mexico, Canada, and China accountable to their promises of halting illegal immigration and stopping poisonous fentanyl and other drugs from flowing into our country,” the White House writes on its fact sheet dedicated to the order.
You can see the full fact sheet from the White House here, or check out the full executive order here.
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On Sunday, Trump also followed up with a post on his Truth Social account in response to criticism:
The USA has major deficits with Canada, Mexico, and China (and almost all countries!), owes 36 Trillion Dollars, and we’re not going to be the “Stupid Country” any longer. MAKE YOUR PRODUCT IN THE USA AND THERE ARE NO TARIFFS! Why should the United States lose TRILLIONS OF DOLLARS IN SUBSIDIZING OTHER COUNTRIES, and why should these other countries pay a small fraction of the cost of what USA citizens pay for Drugs and Pharmaceuticals, as an example? THIS WILL BE THE GOLDEN AGE OF AMERICA! WILL THERE BE SOME PAIN? YES, MAYBE (AND MAYBE NOT!). BUT WE WILL MAKE AMERICA GREAT AGAIN, AND IT WILL ALL BE WORTH THE PRICE THAT MUST BE PAID.
Following a repost of Trump’s words on X, community notes pointed to a TD Economics saying that the U.S. has had a trade surplus with Canada for the last sixteen years straight when not including the energy sector, or oil, natural gas and electricity.
Multiple others have weighed in on how the tariffs could affect the industry at large, highlighting the potential for price increases for the consumer, potential layoffs, and some even saying that it will shut the auto industry down altogether.
In a report from Bloomberg on Sunday, Flavio Volpe, the President of the Canada Automotive Parts Manufacturers’ Association, said that he doesn’t think the country’s auto parts makers will be able to remain profitable with the tariffs in place.
“The auto sector is going to shut down within a week,” Volpe said. “At 25 percent, absolutely nobody in our business is profitable by a long shot.”
Others have warned of even more immediate effects, especially for Canadian and Mexican cities and states whose communities rely heavily on automotive manufacturing. One such city includes Windsor, Ontario, where John D’Agnolo, the union president of a local Ford factory there, says substantial numbers of layoffs could be imminent.
“We’re talking about thousands and thousands of jobs being lost,” D’Agnolo said. “We’d truly be a ghost town, here in Windsor, if we lost this type of business.”
Ontario Premier Doug Ford has also warned that it could affect as many as 500,000 jobs across the province, which is Canada’s most populated, with many of those being automotive roles.
Many also expect the increased costs to be passed onto the consumer, though it’s still unclear exactly what the repercussions of the tariffs could be. We could also see businesses absorb some or all of these costs, though some initial research seems to suggest that buyers will see higher sticker prices across the industry.
“It is going to be a lot of impact,” Aruna Anand, chief executive officer of parts supplier Continental AG’s North American business, said in an interview. “The question is who is absorbing the price and it becomes, are we able to absorb that price or is it going to be shifted to the end consumer?”
In a separate report from Reuters on Saturday, it was suggested that automakers such as General Motors (GM) and Toyota could, however, shift more production from overseas factories to those in the U.S., while major aluminum manufacturer Alcoa is considering re-routing plans that could potentially reduce tariffs. Many electric vehicle (EV) battery materials also come from metal mining operations in China, with some of these sectors just beginning to emerge domestically.
Others also report that the move could “undermine competitiveness” in the American auto industry, ultimately increasing the cost of building cars in the U.S.
“Our American automakers … should not have their competitiveness undermined by tariffs that will raise the cost of building vehicles in the United States and stymie investment in the American workforce,” says Matt Blunt, the President of the American Automotive Policy Council, which represents Stellantis, GM and Ford.
During Tesla’s Q4 earnings call last week, Chief Financial Officer Vaibhav Taneja also warned that tariffs could affect profitability for the company, since its all of its production facilities utilize parts from around the globe.
“There’s a lot of uncertainty around tariffs,” Taneja said. “Over the years, we’ve tried to localize our supply chain in every market, but we are still very reliant on parts from across the world for all our businesses. Therefore, the imposition of tariffs, which is very likely, will have an impact on our business and profitability.”
It’s still not quite clear at this time how the tariffs may affect Tesla’s prices. While Tesla has regularly advertised having the “most American-made cars” with final assembly for the market taking place at its factories in Texas and California, the company also gets a significant amount of components from Canada.
In a filing with the National Highway Traffic Safety Administration (NHTSA) in October, Tesla did disclose what percentage of its vehicle parts are made in either Canada or the U.S., as compared to other countries such as Mexico and Japan. Some of the figures also don’t disclose where the remaining amounts come from, though they can give users an idea of how many components come from Mexico compared to either the U.S. or Canada.
You can see that data for Tesla’s vehicles below, though it’s also worth noting that it does not show the ratio of U.S. to Canadian parts—just a combined percentage from the two countries. You can also view the full filing from the NHTSA here.
- Cybertruck: 65 percent from U.S. and Canada; 25 percent from Mexico
- Model 3 Long Range: 75 percent from U.S. and Canada; 20 percent from Mexico
- Model 3 Performance: 70 percent from U.S. and Canada; 20 percent from Mexico
- Model Y (all trims): 70 percent from U.S. and Canada; 25 percent from Mexico
- Model S: 65 percent from U.S. and Canada; 20 percent from Mexico
- Model X: 60 percent from U.S. and Canada; 25 percent from Mexico
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@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.
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.
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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.
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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.
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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.
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