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Plus AI for powering AI, low-carbon concrete, and more of the week’s big money moves.

This week has already brought a plethora of funding announcements. As my colleague Alexander C. Kaufman highlighted in our AM newsletter, these include $421 million in debt financing for the geothermal unicorn Fervo and a deal between Uber and Rivian that could see the former investing over $1.2 billion in the electric vehicle automaker to support the deployment of up to 50,000 autonomous robotaxis through 2031.
But beyond these headline-grabbing numbers, this week also brings a major offtake agreement for the Massachusetts-based critical minerals startup Nth Cycle, coinciding with the Trump administration’s $500 million push for domestic refining and recycling. There’s also new money for an AI platform for energy data, lower-carbon concrete, and carbon sequestering textiles.
A wave of critical minerals startups has been gaining momentum in the U.S., buoyed by the Trump administration’s push to onshore production in the name of national security. One of those companies, Nth Cycle, recently signed a $1.1 billion, 10-year binding offtake agreement to supply nickel and lithium to global commodities trader Trafigura. The scale of this deal — Trafigura has committed to buying 2,000 metric tons of nickel and 1,500 metric tons of lithium carbonate — underscores the growing geopolitical attraction of breaking away from the Chinese-dominated battery minerals supply chain.
Nth Cycle recovers metals such as nickel, copper, and cobalt from “black mass” — a processed mixture of materials from spent lithium-ion batteries — by dissolving it in a liquid electrolyte and pumping it through an electrochemical cell. Individually-tuned voltages drive specific metal ions to gain electrons and deposit as solid metals onto the electrode’s surface. Unlike large-scale traditional metal refineries, the startup says its smaller, modular system can be deployed at existing partner sites like recycling facilities or scrap handling locations, reducing the cost of refining by up to 70%.
This deal will support the company’s expansion into South Carolina and the Netherlands, where operations are expected to start in 2028. Nth Cycle first started commercial operations a year and a half ago at a facility in Ohio capable of producing 900 metric tons annually of a mixed-metal material that contains nickel and cobalt.
“Speed to power” is the name of the game these days as companies — data centers in particular — need all the help they can get bringing new electricity sources online. Halcyon, which bills itself as “the AI platform for energy,” helps address this issue by helping energy professionals navigate and interpret vast volumes of information from regulatory findings to utility data, enabling more efficient and informed decisionmaking across energy markets and policy landscapes.
This week, the company announced a $21 million Series A round, led by the software-focused climate tech firm Energize Capital, to expand its platform’s capabilities, source even more data, and expand its team. The startup’s AI tool was built and trained on a deep catalogue of energy data from regulators including state public utility commissions, independent system operators, regional transmission organizations, and the Federal Energy Regulatory Commission, enabling users to query its sector-specific database as they would ChatGPT and track developments on particular questions.
“Despite representing as much as 10% of global GDP, multi-billion dollar energy investments are being made with opaque, incomplete, and fragmented information,” Bruce Falck, Halcyon’s co-founder and CEO, said in a company blog post about the new funding. “Halcyon makes complex and fragmented energy information discoverable, actionable, and valuable.” In addition to its main platform, the startup sells subscriptions to datasets such as its Gas Power Plant Tracker and New Substation Development Tracker, which can also inform data center citing decisions, for example.
The world produces roughly 30 billion metric tons of concrete annually, making it the most widely used man-made material on earth — and the source of about 8% of global CO2 emissions. That’s due to the energy-intensive production process of cement, the glue that holds the concrete mixture together. Now though, the London-based startup Cocoon Carbon promises to reduce the emissions intensity of concrete through the addition of industrial byproducts known as “supplementary cementitious materials,” raising a $15 million Series A to help scale production.
SCMs are nothing new — they’ve been a part of standard concrete mixes for decades due to their durability-enhancing properties. But today they’re largely sourced from the byproducts of coal plants and iron blast furnaces — technologies that are falling out of favor as natural gas and renewables scale and electric arc furnaces replace blast furnaces in the steel production process. That’s tightened the market for SCMs, causing prices to double since 2017, at the same time that construction is booming. To address this shortage, Cocoon has developed a rapid cooling system to convert steel slag residue from electric arc furnaces into a cement replacement that it says can reduce concrete emissions by up to 40%.
The startup says its ability to retrofit its system directly onto electric arc furnaces is crucial for cost-competitiveness, drawing a contrast with “other emerging alternatives to cement” — startups Brimstone and Sublime Systems come to mind — which it claims will carry the dreaded “green premium.” Cocoon is planning to use the new capital to build out its first commercial demonstration facility in the U.S., ultimately targeting deployment at 50 steel mills by 2035.
The fashion industry is slyly one of the world’s largest emitters, with textile production alone accounting for about 1.2 billion tons of annual carbon dioxide emissions — roughly equivalent to Germany, the U.K., and France’s annual emissions combined. But the materials company Rubi thinks it’s found a more sustainable approach to fashion, raising a $7.5 million seed round to support the production of textile fibers such as viscose and lyocell from captured carbon dioxide. The company has already piloted its process with partners such as Walmart, Reformation, and H&M, the latter of which also participated in this latest funding round.
To produce raw material for textiles, the company sources captured carbon from industrial flue gas and feeds it into its enzyme reactor, where a cascade of chemical reactions converts the CO2 into cellulose polymers. The resulting cellulose pulp is then recovered and supplied to Rubi’s partners, who spin it into fibers and yarns using existing textile manufacturing infrastructure. The startup’s approach differs from traditional fermentation and chemical methods, which rely on either microbes like yeast or fossil-derived feedstocks such as natural gas to produce polymers, systems the startup says are less efficient, more emissions intensive, and costlier than its own.
Rubi plans to use this latest funding to develop an industrial demonstration system capable of producing commercial quantities of its materials for its growing customer base, from which it’s already secured $60 million in non-binding offtake agreements. While clothing brands are Rubi’s first customers, the company plans to expand into other industries such as consumer packaged goods, aerospace, and chemicals.
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The company plans to invest in domestic manufacturing for its high-heat magnets.
Our electricity system runs on magnets. Every transformer stepping voltage up or down, every inductor smoothing out electrical current, and every motor turning electricity into motion relies on the same basic physics: magnetic fields that control the flow of electrons, converting, filtering, and transporting power at every stage. But as AI and electrification push the grid to its limits, better magnetic materials can help power electronics — and our grid itself — keep up.
That’s the bet behind CorePower Magnetics, a Pittsburgh-based startup which raised a $10.5 million funding round co-led by Engine Ventures and Material Impact, announced on Thursday. The startup is developing more efficient, power-dense components such as inductors and transformers using proprietary nanocrystalline magnetic materials, whose ultra-fine grains reduce energy loss. While these materials have historically been brittle and limited to operating at temperatures below 150 degrees Celsius, CorePower says it engineered alloys that can perform above 200 degrees while maintaining durability.
That higher temperature ceiling is critical. As surging electricity demand meets our increasingly complex grid, power electronics like inductors and transformers are being pushed to handle more power, greater voltages, and higher frequencies than ever before. Magnetic material that can run hotter allows engineers to push more power through smaller components. In the context of a data center, for example, that could equate to about a 10% overall reduction in power demand, CorePower’s CEO Sam Kernion told me
“Data centers are the tip of the spear for this really big push into power electronics,” Kernion explained. “If you look more broadly, electricity demand is growing, but the grid itself is becoming a lot more complex, and data centers are just a great example of that.”
Traditionally, electricity flowed unidirectionally from large, centralized power plants to homes, businesses, and other end users. But now the system must support a wider array of both generation and demand sources. Distributed energy resources like rooftop solar panels can generate power directly where it’s consumed, while batteries (and soon electric vehicles) can both draw power and send it back to the grid. Today’s standard electrical equipment isn’t built to handle the bidirectional power flow and real-time current and voltage conversions that this new ecosystem demands.
Solid-state transformer startups such as Heron Power and DG Matrix are tackling this same challenge, using advanced semiconductor technology to convert voltage electronically while also handling functions like bidirectional power flow and alternating-to-direct current conversion. But even these newer systems still generally rely on conventional magnetic materials, which CorePower says have become a key bottleneck.
“We’re taking a car engine, and now we’re going to a jet engine in terms of how different this is,” Kernion told me regarding the demands of this new, higher performance operating environment.
CorePower is designing its advanced, medium-frequency transformers to operate across a broad range of frequencies, from 10 kilohertz to 100 kilohertz. Eventually it plans to sell these transformers to power electronics manufacturers, which will build complete, solid-state systems around the startup’s magnetic core, adding components such as semiconductors and capacitors along with their own software and control systems.
While CorePower hasn’t disclosed any customers to date, it did launch its first product last year, a standardized, low-voltage inductor that’s smaller, lighter, and more efficient than the industry standard. The device smooths out current in power conversion systems, including data center distribution equipment, EV chargers, and inverters that convert DC electricity to AC. Next, CorePower is preparing to launch its standardized transformer product.
The company’s magnet tech could ultimately find numerous applications beyond inductors and transformers. “We’re also able to supply onboard magnetic components for EVs, or uninterruptible power supplies at data centers, or inverters for renewables,” Kernion explained. “Every electron everywhere passes through a magnetic component at some point, so there’s a whole bunch of opportunity out there.”
It’s certainly a fortuitous time to be a domestic power electronics manufacturer. Last month, President Trump signed an executive order banning the import of certain foreign-made bulk power equipment, including substation transformers and grid-connected inverters. While CorePower is mainly focused on producing high-performance equipment that Kernion says can’t currently be sourced domestically or abroad, the push to shore up domestic manufacturing is providing a tailwind for another of its new business lines: amorphous ribbon, a traditional alternative to the electric steel used in conventional distribution transformers on the grid.
With this latest funding, CorePower plans to expand its team and increase manufacturing capacity at its 10,000 square foot pilot manufacturing facility in Pittsburgh, which it was able to complete thanks to a $5 million ARPA-E grant. The company is eventually looking to move into a larger, 100,000 square foot facility in the region to scale its material and component manufacturing further, though there’s no confirmed timeline for this yet.
One of the largest companies in the world says its products pose catastrophic peril. Sound familiar?
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
Imagine, for a moment, a vast and growing firm — a conglomerate that could be said to define its era of American capitalism. Over the past several years, this firm’s products have become the biggest story in the U.S. economy. Its products are so mindbogglingly expensive to produce that they have driven new types of financial and infrastructural innovation, yet nevertheless the company seems to be quite profitable.
And little wonder: Everyone wants what they have. Investors, policymakers, and economists believe that America’s ongoing economic growth and competitiveness depend on ample access to this company’s products. The sitting Republican president has staked his administration on making sure Americans can get as much of it as they want — regulations be damned.
But there is a problem. One of the company’s researchers has become convinced that the company’s products are dangerous — so harmful, in fact, that their continued use and growth trajectory portends catastrophic risk for humanity. He attempts to alert the company’s executives to this fact. What happens next?
Perhaps you know the story. In the late 1970s and early 1980s, Exxon’s internal scientists concluded that the ongoing growth of fossil fuels would raise global temperatures and have “potentially catastrophic” effects on the planet’s climate. They presented these results to Exxon’s executives. A senior scientist warned that humanity had a brief window — “five to 10 years” — before “the need for hard choices regarding changes in energy strategies might become critical.”
Exxon led a large research effort into climate change, affirming its scientific validity. But then in the late 1980s, its CEO decided to go in the other direction. Its executives chose not to warn the public about climate change — and instead began a successful disinformation campaign meant to convince the public that climate change was not settled science.
But what if things had gone differently? We’re getting a taste of that pathway now. Last week, Sam Coxon, a researcher at the artificial intelligence company Anthropic, resigned because he feared the AI industry was too close to building an “out of control” intelligence. He quit his job just a few months before his corporate equity would have vested, giving up what would have likely been life-changing wealth to warn about what he believes to be existential risks. Humanity only had a brief period of time — perhaps a year — to steer the technology to a better path, he said.
Anthropic researchers who remain at the company affirmed his analysis. “We really do earnestly believe AI could kill all humans,” a senior scientist at the company posted on the social network X.
But this time, Anthropic’s CEO, Dario Amodei, did not respond as Exxon’s leadership did three decades ago. Instead, Amodei basically agreed with Coxon: He asked for the government to regulate artificial intelligence and “pace the frontier,” meaning that it should enforce a slower rate of cutting-edge artificial intelligence development.
I’ve thought of these two examples over the past few days as I’ve tried to make sense of the surge in public concern about AI and existential risk.
It seems to me that climate change is looming over the AI conversation and shaping the assumptions, outlook, and behavior of many key players and observers. President Trump, of course, is reading from the old playbook and has deemed AI to be a “hoax”; Coxon, appearing on Fox News, has downplayed climate change’s existential risk as compared to runaway AI. Yet even beyond those reruns and revisions, the analogy goes deeper: Just as nuclear non-proliferation agreements structured early attempts to regulate global greenhouse emissions, climate policy is now shaping how people understand AI risk.
And not for lack of cause. In some important ways, the problems — or alleged problems, depending on your perspective on AI — resemble each other. For instance, because technology exists in a global commons, any successful AI diplomacy must involve the United States and China. And since China’s AI development currently lags the United States, American politicians must persuade China that their proposals to regulate AI are not just concealed attempts to restrain China’s development.
This dynamic has long bedeviled climate negotiations, too. Since economic growth has (until very recently) required fossil fuels, China and other middle-income countries have long feared that any global climate treaty would constrain their future economic development. The Kyoto Protocol tried to finesse this problem by splitting countries into two groups, rich and not-rich; the Paris Agreement did it by imposing no collective restrictions on fossil fuel consumption at all.
Neither approach has worked, exactly, but each offer examples, counterexamples, and tools for thought. Perhaps the Montreal Protocol, which has successfully limited global production of the pollutants destroying stratospheric ozone — and has shown how to stop the growth of a dangerous but hard-to-manufacture technology that presents near-term existential risk — is a superior model.
There is at least one big way the two risks differ. Climate change is a chemical problem that arises from the size and scale of global fossil fuel consumption. Scientists have known that the greenhouse effect is real since the early 20th century. Climate change’s physics are rudimentary enough that Exxon’s in-house scientists could predict the path of future warming with some accuracy. It is a verifiable risk.
AI’s alleged existential risks, on the other hand, emerge from a lab pushing the technological frontier too far and drilling, like Tolkien’s dwarves, too deep. AI concern relies not on empirical observations, but on a story about exponential change and runaway growth. In this way, it’s a harder risk to predict, and a harder one to accept.
Climate advocates have long wondered what would have happened if Exxon’s leaders had embraced reality and warned the public in the 1980s that global warming is real and caused by fossil fuels. Inside Climate News once called it a “road not taken.” I can’t help but wonder if we’re watching it.
The Federal Reserve raised the federal funds rate by a quarter point, the central bank announced Wednesday afternoon, its first rate change since Chairman Kevin Warsh took his seat in May and its first rate hike in over three years.
The federal funds rate will now sit between 3.75% and 4%. According to projections by regional Federal Reserve presidents and members of the Board of Governors, the central bank expects to hike rates one more time this year.
In its now characteristically brief statements, the Federal Open Market Committee said that the hike “will support a timelier return to the Committee's 2 percent goal” for inflation. Inflation is currently running at 3.4% and has been above the Fed’s 2% target since 2021.
The FOMC’s (brief) statement explaining the hike pointed to “resilient” domestic spending and “robust” capital investment. It characterized the economy as “expanding at a solid pace,” albeit with “elevated” uncertainty due to “geopolitical developments.”
This combination of factors — high oil prices due to the partial shutdown of the Strait of Hormuz and high investment in data centers — have helped push up yields on Treasury bonds, which helped maneuver the Federal Reserve into its rate hike. These rising Treasury yields have made raising capital more difficult for sectors besides artificial intelligence, very much including the capital-intensive renewable and clean energy industries.
Warsh attributed higher Treasury yields to “economic strength, competition for capital, and geopolitics,” in his press conference following the rate announcement. The yield on the 10-year treasury bond, often used as a benchmark for the cost of money throughout the economy, rose to over 5% on the news, the highest level since 2007.