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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SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
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SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
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