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The Department of Energy is advancing 24 companies in its purchase prize contest. What these companies are getting is more important than $50,000.

The Department of Energy is advancing its first-of-a-kind program to stimulate demand for carbon removal by becoming a major buyer. On Tuesday, the agency awarded $50,000 to each of 24 semifinalist companies competing to suck carbon dioxide out of the atmosphere on behalf of the U.S. government. It will eventually spend $30 million to buy carbon removal credits from up to 10 winners.
The nascent carbon removal industry is desperate for customers. At a conference held in New York City last week called Carbon Unbound, startup CEOs brainstormed how to convince more companies to buy carbon removal as part of their sustainability strategies. On the sidelines, attendees lamented to me that there were hardly even any potential buyers at the conference — what a missed opportunity.
Conference panelists asserted that the industry needed to rebuild trust. Purchasing carbon credits has become a risky strategy for companies. In one investigation after another, journalists and researchers have shown that many of the projects behind these credits fail to produce the climate benefits they advertise. There’s a class action lawsuit against Delta Air Lines for marketing itself as “carbon neutral” after purchasing such questionable carbon offsets.
Carbon removal credits are technically different from the offsets that companies bought in the past, which were based on projects that reduce emissions to the atmosphere rather than remove carbon that’s already heating the planet. But there’s still a risk of sham projects. And because the field is relatively new, there’s not yet a set of widely agreed-upon standards to measure and verify how much carbon is being removed.
The Department of Energy hopes that by selecting 24 companies that have been vetted by government scientists, it’s sending a signal to the private sector that there are at least some projects that are legitimate. “We can’t wait to invest in CDR until those standards have been codified,” Noah Deich, the agency’s deputy assistant secretary of carbon management, told me. “We need to invest now so that we actually get the data that we can use to inform the standards, and then over time codify those standards and strengthen and improve them.”
The semifinalists represent a wide range of carbon removal methods. Nine of the companies are building machines that capture carbon dioxide directly from the air. Seven take advantage of the natural ability of plants and algae to suck up carbon, and have developed systems to sequester that carbon for far longer than would otherwise occur. Five employ rocks that naturally absorb carbon and have figured out how to speed up the process. The last three capture carbon from the ocean, enabling the world’s biggest carbon sink to draw down more from the atmosphere.
To proceed to the final round, all of these companies will have to draw up contracts that say how quickly they will be able to remove the promised tons of carbon, and who they will work with to measure and verify the process.
The Biden administration is spending billions on research, development, and deployment of carbon removal. Some of the semifinalists, like Climeworks, Heirloom Carbon, and 1PointFive, were already selected for grants from the DOE to build the U.S.’s first “direct air capture hubs” — projects capable of removing one million tons of carbon from the air per year. But those hubs will fail if the companies don’t ultimately find buyers for their carbon removal. “Every single CDR project that we’re seeing today requires some sort of voluntary credit sale to be profitable,” said Deich.
The Department of Energy’s $30 million budget to buy carbon removal is relatively small. The semifinalists said they could deliver a wide range of credits with their share of the funds, from 3,000 over a three-year period, to more than 30,000. In any case, DOE is unlikely to afford much more than 100,000 tons of carbon taken out of the atmosphere, equivalent to about 0.002% of the CO2 the United States emitted in 2022. When distributed among 10 companies, it’s certainly not enough to finance a project. But Deich told me he sees this contest as a public-private partnership. The agency is challenging the semifinalists to leverage the DOE’s recognition to try and sell as many credits as they can. It’s one of the criteria they’ll be judged on for the final phase of the contest.
Several semifinalists I spoke with were optimistic the DOE’s backing would help. “One of the things that the private sector is wrestling with is the technical underwriting of various carbon dioxide removal technologies,” Barclay Rogers, the CEO of the carbon removal company Graphyte, told me. Graphyte’s process almost sounds too simple to work. The company takes discarded plant matter from forests and fields, dries it out so that it doesn’t decompose, compresses it into bricks, and then buries them. Graphyte has already built a small processing facility in Arkansas and secured a burial site that could store an estimated 1.5 million tons of CO2. Rogers was excited to have DOE’s backing as “a broad signal to the market of the viability of Graphyte’s carbon casting process.”
Others were grateful that the government was branching out to new technologies. To date, most of the DOE’s carbon removal programs have supported direct air capture. Companies working on other approaches have been shut out of funding opportunities, and some worry that this has contributed to a perception among buyers that direct air capture is the only valid method. “We think this is a huge step forward, since it’s really the first time not only that the U.S. government is going to become a purchaser of carbon removal, but also funding a full range of carbon removal solutions,” Nora Cohen Brown, head of market development and policy at Charm Industrial, told me. (Charm also buries plant waste underground, but in the form of oil.) “We really think that biomass CDR has immense potential,” she said. “It’s a big deal to have DOE’s blessing for that pathway.”
Edward Sanders, the chief operating officer of a startup called Equatic, told me that being a semifinalist meant the company would be able to build a plant in the U.S. much sooner than it initially planned. Equatic has developed technology to remove carbon from seawater, enabling the ocean to take up more carbon. It’s currently building its first large-scale plant in Singapore. “This tells prospective future buyers that there is a role to play in the near term in the U.S. for a marine-based pathway.”
Many of the companies on the list, including the three I just mentioned, have already been relatively successful in selling credits. Graphyte sold 10,000 to American Airlines. Equatic has a 62,000 deal with Boeing. Charm will remove more than 100,000 tons for Frontier Climate, a group of buyers that includes Stripe, Alphabet, Shopify, and Meta. But even though a handful of tech companies and airlines are buying carbon removal, these sweeping gestures are not enough to sustain the industry, let alone grow it to the scale that scientists say will be necessary to halt climate change.
DOE’s purchase may help increase confidence in some of these companies and approaches, but it may not do much to solve another problem: There’s little incentive for anyone to pay for carbon removal today, and it’s much more expensive than other options companies have to reduce their emissions. Credits can cost between several hundred to more than a thousand dollars each.
Deich said the agency was trying to set an example for other buyers. Instead of creating a net-zero target and searching for the cheapest credits to accomplish its goal, it’s prioritizing quality and only buying what it can afford. “We need to pay what it costs,” he said, “and then developers can develop projects and figure out how to do it cheaper so that over time, it starts to come down the cost curve significantly, and we can buy larger and larger quantities.”
But this is only the near term plan to help the industry mature. Ultimately, Deich doesn’t think that the voluntary trade of credits will be enough to support the levels of carbon removal that will make a difference in climate change. He sees this purchase prize program as a way to start building the government’s capacity to play a larger role. “There’s going to need to be some sort of mandate or public procurement that happens for the field to really scale beyond 2030,” he said.
Avnos, Inc. — direct air capture — 3,000 credits
Carbon America — direct Air Capture — 3,400 credits
CarbonCapture, Inc. — direct air capture — 3,333 credits
Climeworks — direct air capture — 3,500 credits
Global Thermostat and Fervo Energy — direct air capture — 3,500 credits
Heirloom — direct air capture — 3,030 credits
1PointFive — direct air capture — 3,861 credits
280 Earth — direct air capture — 3,000 credits
8 Rivers — direct air capture — 7,200 credits
Arbor Energy — biomass with carbon removal and storage — 8,000 credits
Carbon Lockdown — biomass with carbon removal and storage — 17,143 credits
Charm Industrial — biomass with carbon removal and storage — 5,000 credits
Clean Energy Systems — biomass with carbon removal and storage — 11,320 credits
Climate Robotics — biochar — 30,252 credits
Graphyte — biomass with carbon removal and storage — 30,000 credits
Vaulted Deep — biomass with carbon removal and storage — 10,320 credits
Alkali Earth — enhanced rock weathering and mineralization — 8,108 credits
CREW Carbon — enhanced rock weathering and mineralization — 7,500 credits
Eion — enhanced rock weathering and mineralization — 9,900 credits
Lithos Carbon — enhanced rock weathering and mineralization — 8,109 credits
Mati Carbon — enhanced rock weathering and mineralization — 4,561 credits
Ebb Carbon — marine-based carbon removal — 3,000 credits
Equatic — marine-based carbon removal — 6,521 credits
Vycarb Inc. — marine-based carbon removal — 3,000 credits
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The electric vehicle-maker’s newly unveiled, lidar-equipped, autonomy-enabled R2 is scheduled to hit the road next year.
When Rivian revealed the R2 back in the spring of 2024, the compelling part of the electric SUV was price. The vehicle looked almost exactly like the huge R1S that helped launch the brand, but scaled down to a true two-row, five-seat ride that would start at $45,000. That’s not exactly cheap, but it would create a Rivian for lots of drivers who admired the company’s sleek adventure EV but couldn’t afford to spend nearly a hundred grand on a vehicle.
But at the company’s “Autonomy and AI Day,” held on Thursday at Rivian’s Palo Alto office in the heart of Silicon Valley, company leaders raised the expectations for their next vehicle. R2 wouldn’t just be the more affordable Rivian — it would be the AI-defined car that vaults them into the race to develop truly self-driving cars.
First, the hardware. Rivian said that the R2 will come with 11 camera and five radar units spread around the vehicle to improve the car’s ability to comprehend the world around it. But the crucial, headline-grabbing addition is a lidar, or light-based radar, unit. Lidar shoots laser pulses and measures the time it takes for the reflected light to return, thereby building a three-dimensional picture of the environment it surveys.
Those twirling bobs you might have seen on the top of Waymo’s driverless cars as they roam the streets, mapping the world around them, are lidar. The technology’s ability to see the world in detail across distances is necessary for the upper levels of automotive autonomy — the ones where the car can basically do it all and the humans can take their hands off the wheel and their eyes off the road.
Lidar units to date have been large and expensive, which is one reason they’re seen in pods that protrude from the top of a vehicle. Rivian, however, figured out how to mount one within the vehicle, in the area at the top of the front windshield near the rear-view mirror. The forward-facing lidar gives the vehicle 300 meters of forward vision. Demos the company showed during autonomy day revealed just how much more a constellation of cameras, radar, and lidar can see than a system without lidar, especially in dark or foggy conditions.
The other “wow” reveal on Thursday was that the R2 will process all that camera data on a chip that Rivian built from scratch to handle the AI and autonomous driving workload of its vehicles, rather than sourcing chips from some other tech company. CEO R.J. Scaringe said during his presentation to open the event that this kind of vertical integration was meant to allow the company to keep pace with the AI race as opposed to having to work with whatever third-party components it could get.
The result is a leap forward in capability over what Rivian offered with the R1S SUV and R1T pickup truck. Those vehicles had a hand-free system that let the EVs drive themselves with minimal human oversight on a little more than 100,000 miles of roads that were well-marked and well-mapped. James Philbin, the vice president of autonomy and AI, promised on Thursday that the lidar and processing improvements would allow hands-free driving on more than 3 million miles of roads — basically anywhere that the lines on the highway are clear enough for the R2’s cameras to see. And what’s next, Rivian promises, is true autonomy. The SUV will drive itself entirely from point to point when the conditions allow, and as the AI continuously improves over time, you might eventually see driverless Rivians out there competing with the likes of Waymo.
All this stuff costs money, of course. The Rivian Autonomy+ package would add $2,500 or a monthly fee of $50 to the purchase price. But the fact that this tech is coming to a car that starts in the $40,000s is telling. It is how many people will get their first taste of true vehicle autonomy.
Thursday’s event wasn’t all about self-driving, either. Rivian also built an AI software assistant for the cabin that can be summoned with a “Hey Rivian” and perform all kinds of in-car functions, such as changing the driving mode or adjusting the climate control. The achievement here is one of natural language. In Rivian’s demos, the assistant could ably fulfill the driver’s wishes with a command like “make it a little toastier in here” as opposed to formal instructional language like “turn the driver’s temperature to 70 degrees and set the seat heater to level one.”
At times this feels unnecessary, like AI looking for something to do to justify its existence. It doesn’t take that many button-pushes to alter the climate, after all. I admit, though, that having test-driven Rivians on road trips this summer, one of their weak points is my struggle to remember exactly which menu contains which controls. AI, in a way, helpfully solves a problem created by the modern EV that has amazing capability, but routes that capability through a large touchscreen that’s annoying (and dangerous) to navigate while driving.
Rivian is playing catch up with Tesla when it comes to autonomy, of course, as Elon Musk’s company has been touting its Full Self Driving feature for years and is now building the Cybercab, which is meant to be a car that humans will never drive. But Tesla has struggled to meet its timelines and targets for autonomous systems, giving rivals like Rivian a window to develop their own technology.
And so, what’s clear after Rivian’s event is that car companies, especially EV makers, are going to be key players in this autonomy and AI age. Nowhere was it written that electric vehicles had to be synonymous with self-driving vehicles. Battery-powered cars could be dumb and not smart, ruled by buttons instead of touchscreens. It just so happens that EVs are finally coming of age during the simultaneous ascent of artificial intelligence — and that the leading EV-only startups are Silicon Valley tech companies, or at least started out that way.
Tesla has forgotten about acting like a car company and staked its future on being the one that will crack true self-driving and reap the windfall. Rivian, which hadn’t made nearly as much noise about AI and autonomy before this week, has put forth a compelling case for its in-house autonomous systems and AI models, ones that will continue to improve as they’re trained on data provided by thousands of R2s hitting the road starting in 2026.
The market is reeling from a trio of worrisome data center announcements.
The AI industry coughed and the power industry is getting a cold.
The S&P 500 hit a record high on Thursday afternoon, but in the cold light of Friday, several artificial intelligence-related companies are feeling a chill. A trio of stories in the data center and semiconductor industry revealed dented market optimism, driving the tech-heavy NASDAQ 100 down almost 2% in Friday afternoon trading, and several energy-related stocks are down even more.
Here’s what’s happening:
Taken together, the three stories look like an AI slowdown, at least compared to the most optimistic forecasts for growth. If so, expectations of how much power these data centers need will also have to come down a bit. That has led to notable stock dips for companies across the power sector, especially independent power producers that own power plants, many of whose shares have risen sharply in the past year or two.
Shares in NRG were down around 4.5% on the day on Friday afternoon; nuclear-heavy Constellation Energy was down over 6%; Talen Energy, which owns a portfolio of nuclear and fossil fuel plants, was down almost 3% and Vistra was down 2%. Shares in GE Vernova, which is expanding its gas turbine manufacturing capacity to meet high expected demand for power, were down over 3.5%.
It’s not just traditional power companies that are catching this AI chill — renewables are shivering, as well. American solar manufacturer First Solar is down over 5%, while solar manufacturing and development company Canadian Solar is down over almost 9%.
Shares of Blue Owl, the investment firm that is helping to fund the big tech data center buildout, were down almost 4%.
The fates of all these companies are deeply intertwined. As Heatmap contributor Advait Arun wrote recently, ”The commercial potential of next-generation energy technologies such as advanced nuclear, batteries, and grid-enhancing applications now hinge on the speed and scale of the AI buildout.” Many AI-related companies are either invested in or lend to each other, meaning that a stumble that looks small initially could quickly cascade.
The power industry has seen these types of AI-optimism hiccups before, however. In January, several power companies swooned after Chinese AI company DeepSeek released an open source, compute-efficient large language model comparable to the most advanced models developed by U.S. labs.
Constellation’s stock price, for example, fell as much as 20% in response to the “DeepSeek Moment,” but are up over 45% this year, even factoring in today’s fall. GE Vernova shares have doubled in value this year.
So it looks like the power sector will still have something to celebrate at the end of this year, even if the celebrations are slightly less warm than they might have been.
Activists are suing for records on three projects in Wyoming.
Three wind projects in Wyoming are stuck in the middle of a widening legal battle between local wildlife conservation activists and the Trump administration over eagle death records.
The rural Wyoming bird advocacy group Albany County Conservancy filed a federal lawsuit last week against the Trump administration seeking to compel the government to release reams of information about how it records deaths from three facilities owned and operated by the utility PacifiCorp: Dunlap Wind, Ekola Flats, and Seven Mile Hill. The group filed its lawsuit under the Freedom of Information Act, the national public records disclosure law, and accused the Fish and Wildlife Service of unlawfully withholding evidence related to whether the three wind farms were fully compliant with the Bald and Golden Eagle Protection Act.
I’m eyeing this case closely because it suggests these wind farms may fall under future scrutiny from the Fish and Wildlife Service, either for prospective fines or far worse, as the agency continues a sweeping review of wind projects’ compliance with BGEPA, a statute anti-wind advocates have made clear they seek to use as a cudgel against operating facilities. It’s especially noteworthy that a year into Trump’s term, his promises to go after wind projects have not really touched onshore, primarily offshore. (The exception, of course, being Lava Ridge.)
Violating the eagle protection statute has significant penalties. For each eagle death beyond what FWS has permitted, a company is subject to at least $100,000 in fines or a year in prison. These penalties go up if a company is knowingly violating the law repeatedly. In August, the Service sent letters to wind developers and utilities across the country requesting records demonstrating compliance with BGEPA as part of a crackdown on wind energy writ large.
This brings us back to the lawsuit. Crucial to this case is the work of a former Fish and Wildlife Service biologist Mike Lockhart, whom intrepid readers of The Fight may remember for telling me that he’s been submitting evidence of excessive golden eagle deaths to Fish and Wildlife for years. Along with its legal complaint, the Conservancy filed a detailed breakdown of its back-and-forth with Fish and Wildlife over an initial public records request. Per those records, the agency has failed to produce any evidence that it received Lockhart’s proof of bird deaths – ones that he asserts occurred because of these wind farms.
“By refusing to even identify, let alone disclose, obviously responsive but nonexempt records the Conservancy knows to be in the Department’s possession and/or control, the Department leaves open serious questions about the integrity of its administration of BGEPA,” the lawsuit alleges.
The Fish and Wildlife Service did not respond to a request for comment on the case, though it’s worth noting that agencies rarely comment on pending litigation. PacifiCorp did not immediately respond to a request either. I will keep you posted as this progresses.