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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.”
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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
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
