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Inflation Reduction Act supports dealerships & fossil fueled "clean vehicles" Inflation Reduction Act supports dealerships & fossil fueled "clean vehicles"

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Inflation Reduction Act supports dealerships & fossil fueled “clean vehicles”

Credit: Self Drive Vehicle Hire

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Today, the Senate passed the Inflation Reduction Act which seems like a good thing for EVs and clean energy at first. However, a look at the bill itself takes us into a rabbit hole that smells of fossil fuels and dealership lobbying.

By changing the very definition of electric vehicles of clean vehicles, the Inflation Reduction Act is showing its support for fossil fuels. Let’s take a look at a thread shared by @WholeMarsBlog who took a deep dive into the Inflation Reduction Act.

How Dealerships benefit from the Inflation Reduction Act

As @WholeMarsBlog pointed out in his thread, the Inflation Reduction Act will allow dealerships to benefit from a subsidy. If a consumer purchases an EV from a dealership, they will be able to transfer that tax credit to a dealership.

This will be the only way they can benefit from that tax credit as direct-to-consumer doesn’t qualify.

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This gives dealerships an edge over direct-to-consumer sales by allowing consumers to receive a lower monthly payment than ordering directly from a manufacturer such as Tesla or Rivian.

However, it doesn’t make sense to subsidize an industry that is known for dishonest tactics and treating American consumers badly.

Allowing fossil-fueled vehicles to be “clean vehicles”

A vehicle with an internal combustion engine and a small battery is now considered a “clean vehicle” by this bill. Plug-in hybrid EVs have been touted as a cleaner version of the ICE vehicle because it has a battery and can be charged.

However, these are still fossil-fueled powered vehicles and discourage the sales of actual clean vehicles. As @WholeMarsBlog said, “Why buy an F-150 Lightning when an F-150 hybrid qualifies, too?” He also pointed out that hydrogen cars are also now subsidized.

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Battery Minerals need to be sourced domestically

Rivian and Lucid along with other automakers will lose their $7,500 tax credit next year due to these battery sourcing requirements making it impossible for any full EV to qualify.

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This is why it’s so important for automakers to partner with their domestic suppliers. Talon Metals’ Chief External Affairs Officer & Head of Climate Strategy, Todd Malan spoke with me at length on this topic and you read his thoughts here.

Benchmark Minerals’ take on the Inflation Reduction Act

Benchmark Minerals published an article on what the Inflation Reduction act means for the EV battery supply chain and I think it’s important to consider some of the points they’ve made.

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Simon Mores, CEO of Benchmark said that it’s almost impossible that any of the Fair Trade Alliance countries are able to fill China’s raw material gap for our EV demand between now and 2024.

“The presently proposed $7,500 credit for those EVs that do not contain any critical minerals from China or Russia will effectively be made redundant, considering the proposal ends in 2024 just when a domestic supply chain is beginning to gain momentum.”

“It is almost impossible that any Fair Trade Alliance countries – of which Australia and Chile are the stand out – could fill China’s raw material gap for the USA’s EV demand between now and 2024.”

“This is considering the basic lack of raw material supply in many markets and the fact that most future raw material has already been contracted and accounted for.”

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“If the US wants the incentive to really work, it needs to extend this by 4 years to 2028 so the battery supply chain builds into the incentive.”

With this thought in mind, @WholeMarsBlog pointed out that smaller batteries could meet the percentage requirements while larger batteries powering the entire vehicle can not. In other words, this opens the door for plug-in hybrid EVs to meet the rising demand for clean vehicles.

My 2.5¢

I think it’s important to note these flaws in the bill, but I also think that we do need a stronger U.S.  battery supply chain. However, we shouldn’t sacrifice EVs for fossil fuels to get that stronger supply chain.

I’ve always thought that it was silly to include plug-in hybrid vehicles as a “clean vehciel” when they use both batteries and fossil fuels. Hybrids are great for those who want both options. I’ve also heard the arguments that they are more affordable than a Tesla, but it’s 2022 and if someone is in the market for a new car, there are options for a variety of EVs.

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I think @WholeMarsBlog made an excellent point. I think Todd Malan made excellent points as well. At the end of the day, however, politricksters will politrick. The fact that they all agreed on this bill is, I think, kind of shocking.

 

Disclaimer: Johnna is long Tesla. 

I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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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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