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What will happen to Obama’s National EV Charging Corridor initiative?
As part of an eight year commitment to combat climate change, increase access to clean energy technologies, and reduce U.S. dependence on oil, the Obama administration unveiled a series of executive actions to establish 48 national electric vehicle (EV) charging corridors on U.S. highways. But will the proposed EV charging corridors, which were announced in early November, 2016, stand up to the formidable will of Donald Trump’s transitional head of the EPA, Myron Ebell?
Ebell is director of the Center for Energy and Environment at the conservative Competitive Enterprise Institute and is the lead voice of U.S. climate deniers. He chairs the Cooler Heads Coalition, which comprises over two dozen non-profit groups in this country and abroad that question global warming “alarmism” and oppose “energy rationing” policies. Ebell’s role on the Trump team has been interpreted by many, including Scientific American, National Geographic, and the New York Times, as a sign that the next administration will be looking to drastically reshape the climate policies that the EPA has pursued under the Obama administration.
Since President Obama took office, the number of plug-in EV models has increased from one to more than twenty, battery costs have decreased 70 percent, and the number of EV charging stations has grown from less than 500 in 2008 to more than 16,000 in 2016. Described as “creating a new way of thinking about transportation that will drive America forward,” the National Electric Vehicle Charging Corridors on U.S. Highways initiatives were intended to create 48 designated EV routes which would cover nearly 25,000 miles in 35 states.
The National Electric Vehicle Charging Corridors on U.S. Highways initiative is part of a larger Obama administration plan to lower EV purchase costs through increasing automotive manufacturers’ demand. By promoting EV innovation and adoption and expanding the national EV infrastructure, the Obama administration has fostered a climate in which more than $1 million and 1,211,650 gallons in potential annual fuel savings could be accrued. However, Trump has indicated that his administration will work to remove EPA environmental regulations as a way of allowing American business to thrive.
Trump consistently has been vocal in his skepticism of climate change science, which calls for the shift in U.S. fuel consumption to alternative sources like decentralized electricity.
While on the campaign trail, Trump had focused on lifting restrictions on oil and gas instead of looking to U.S. clean energy and an eventual reduction of reliance on fossil fuels. Trump stated that lifting fossil fuel restrictions would increase GDP by more than $127 billion, add about 500,000 jobs, and increase wages by $30 billion each year over over seven years. Those figures come from the Institute for Energy Research, a nonprofit that advocates for a free-market approach to energy and claims there is an “enormous volume of sensationalized, simplistic and often plain wrong information” on climate change.
“This is not academic research and would never see the light of day in an academic journal. The pioneering research … from years ago is rarely employed any more by economists,” said Thomas Kinnaman, chair of the Economics Department at Bucknell University, who reviewed the IER report. Kinnaman’s analysis was confirmed by Peter Maniloff, assistant professor of economics at the Colorado School of Mines, who said the IER study is based on a questionable assumption. “The IER report assumes that policy restrictions are the major factor holding back coal, oil, and gas production.” He went on to describe the rationale as more to do with straightforward economics,” he said. “Domestic oil drilling on available land has dropped by three-quarters since 2014 due to low prices.”
Another area in which the Obama administration sought to promote EV clean energy was the release of up to $4.5 billion in loan guarantees to support commercial-scale deployment of innovative EV charging facilities. In support, nearly 50 industry members signed onto a “Guiding Principles to Promote Electric Vehicles and Charging Infrastructure” agreement. Thirty-eight new businesses, non-profits, universities, and utilities committed to provide EV charging access for their workforces, with 24 state and local governments partnering with the Administration to increase the procurement of EVs in their fleets.
Investment in such a robust network of charging facilities contradicts energy policy promoted by Ebell, who has said that “a lot of third, fourth and fifth rate scientists have gotten a long ways” by embracing climate change. He frequently mocks climate leaders like Al Gore and has called the movement the “forces of darkness” because “they want to turn off the lights all over the world.”
Ebell has been a voice in the ear of Congress with his opposition to President Obama’s Clean Power Plan. This is a series of policy initiatives designed to lower emissions from fossil fuel generating plants, particularly those that still rely on coal to generate electricity. The United States Department of Transportation (DOT) would be the liaison among the administration, states, localities, and the private sector for the EV corridors. Already, 28 states, utilities, vehicle manufacturers, and change organizations have committed to accelerating the deployment of an EV charging infrastructure on the DOT’s corridors. The goal is that these initial corridors would serve as a basis for “coast to coast zero emission mobility on our nation’s highways.”
Obama caricature [Source: globalwarming.org]
Earlier, Ebell had written a blog post stating that the Obama administration’s Existing Source Performance Standards contained within the Clean Power Plan were “colossally costly” and “obviously illegal.” His post includes the mashup of President Obama.
To ascertain optimal national EV charging deployment scenarios, including along DOT’s designated fueling corridors, the United States Department of Energy (DOE) is in the midst of conducting two studies. Developed with national laboratories and with input from a range of stakeholder, the first is a national EV infrastructure analysis that identifies the optimal number of charging stations for different EV market penetration scenarios. The second will provide best practices for EV fast charging installation, including system specifications as well as siting, power availability, and capital and maintenance cost considerations.
The future of U.S. coast to coast zero emission mobility on our nation’s highways is in serious jeopardy with President Trump in the White House.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
