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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.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
