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Tesla showroom in Century City mall, Los Angeles (Credit: Teslarati) Tesla showroom in Century City mall, Los Angeles (Credit: Teslarati)

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Tesla’s win in Michigan marks a point of no return for traditional auto

Tesla showroom in Century City mall, Los Angeles (Credit: Teslarati)

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After resisting Tesla for years, the heart of American auto, Michigan, finally allowed the electric car maker to establish a foothold in the state. It was a hard-fought battle for Tesla, and a victory well worth more than CEO Elon Musk’s one-word celebration on Twitter. But at the same time, Tesla’s settlement with Michigan, which would allow the company to sell and service its cars in the state, marks a point of no return for traditional auto. 

It may not be evident now, but from this point on, it will be twice as difficult for states to resist disruptive new EV makers that do not follow a traditional dealership sales model. This means that even other carmakers such as Rivian will likely have a clear path forward in their expansion into the United States’ auto market, absent of the direct sales roadblocks that the Elon Musk-led company has dealt with for years. 

Michigan is considered the heart of the US auto industry, and for good reason. The country’s motoring history was written within the state’s borders, and iconic companies that changed the industry, such as Ford, call Michigan their home. Yet, for all its dedication to the car industry, Michigan has also been very resistant to Tesla, preventing the electric car maker from selling its vehicles in the state due to the company’s direct sales strategy.

Tesla’s difficulties in Michigan were a painful reminder that the company’s goal of transitioning the transportation industry towards sustainability would be marred with difficulties left and right, signified by the state’s dealer franchise laws. This is one of the reasons why the company’s settlement with the state is so important. Daniel Crane, a University of Michigan law professor who specializes in antitrust and regulatory issues, explained these points in an interview with Automotive News

“The handwriting’s on the wall for the franchised dealer as the exclusive way consumers interact with car companies. It’s pretty clear it’d be impossible for the state to deny someone else; it paves the way for any new EV company that doesn’t want to use traditional dealerships.”

“The legacy companies can’t continue forever to use a dealer model from the 1930s. Being required to use only that, I think, is a competitive disadvantage. They’ll have to find a way to get flexibility in their distribution method, or they’ll be left behind,” he said. 

The dealer model deserves some recognition, as the United States’ auto industry would likely not have gotten this far without it. Yet in the age of electrification, dealerships, which are known for their flexible pricing strategies and reliance on regular vehicle maintenance, are starting to become outdated. Tesla is the living representation of this, as the company’s cars are priced like tech devices, and its vehicles require far less maintenance compared to internal combustion cars. 

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One key takeaway from Tesla’s conquest and subsequent victory in Michigan is the fact that the electric car maker is only the first of many. The state has allowed the company to sell and service its cars within its borders, and it will be hard-pressed to not do the same for other automakers. Tesla may be leading the charge, after all, but it is not alone. There’s Rivian, which is also planning on adopting a non-dealership sales model, and more are likely coming. By allowing Tesla to sell and service its cars within the state, Michigan has just accelerated the industry’s transition to sustainability. 

Very few may see it now, but through this little settlement with Tesla, the US auto industry may have just passed the proverbial point of no return.

Tesla’s recent settlement with the state of Michigan can be read below.

Tesla-MI-Joint Stipulation and Motion for Entry of Dismissal 1-22-20 679161 7 by Simon Alvarez on Scribd

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

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Autonomous vehicle red tape gets slashed by Trump Administration

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Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

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Elon Musk

Elon Musk has a crazy prediction about AI in two years

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Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

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