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Most nonprofit boards can do whatever they want.

Surely you’ve heard by now. On Friday, the board of directors of OpenAI, the world-bestriding startup at the center of the new artificial intelligence boom, fired its chief executive, Sam Altman. He had not been “consistently candid” with the board, the company said, setting in motion a coup — and potential counter-coup — that has transfixed the tech, business, and media industries for the past 72 hours.
OpenAI is — was? — a strange organization. Until last week, it was both the country’s hottest new tech company and an independent nonprofit devoted to ensuring that a hypothetical, hyper-intelligent AI “benefits all of humanity.” The nonprofit board owned and controlled the for-profit startup, but it did not fund it entirely; the startup could and did accept outside investment, such as a $13 billion infusion from Microsoft.
This kind of dual nonprofit/for-profit structure isn’t uncommon in the tech industry. The encrypted messaging app Signal, for instance, is owned by a foundation, as is the company that makes the cheap, programmable microchip Raspberry Pi. The open-source browser Firefox is overseen by the Mozilla Foundation.
But OpenAI’s structure is unusually convoluted, with two nested holding companies and a growing split between who was providing the money (Microsoft) and who ostensibly controlled operations (the nonprofit board). That tension between the nonprofit board and the for-profit company is what ultimately ripped apart OpenAI, because when the people with control (the board) tried to fire Altman, the people with the money (Microsoft) said no. As I write this, Microsoft seems likely to win.
This may all seem remote from what we cover here at Heatmap. Other than the fact that ChatGPT devours electricity, OpenAI doesn’t obviously have anything to do with climate change, electric vehicles, or the energy transition. Sometimes I even have the sense that many climate advocates take a certain delight in high-profile AI setbacks, because they resent competing with it for existential-risk airtime.
Yet OpenAI’s schism is a warning for climate world. Strip back the money, the apocalypticism, the big ideas and Terminator references, and OpenAI is fundamentally a story about nonprofit governance. When a majority of the board decided to knock Altman from his perch, nobody could stop them. They alone decided to torch $80 billion in market value overnight and set their institution on fire. Whether that was the right or wrong choice, it illustrates how nonprofit organizations — especially those that, like OpenAI, are controlled solely by a board of directors — act with an unusual amount of arbitrary authority.
Why does that matter for the climate or environmental movement? Because the climate and energy world is absolutely teeming with nonprofit organizations — and many of them are just as unconstrained, just as willfully wacky, as OpenAI.
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Let’s step back. Nonprofits can generally be governed in two ways. (Apologies to nonprofit lawyers in the audience: I’m about to vastly simplify your specialty.) The first is a chapter- or membership-driven structure, in which a mass membership elects leaders to serve on a board of directors. Many unions, social clubs, and business groups take this form: Every few years, the members elect a new president or board of directors, who lead the organization for the next few years.
The other way is a so-called “board-only” organization. In this structure, the nonprofit’s board of directors leads the organization and does not answer to a membership or chapter. (There is often no membership to answer to.) When a vacancy opens up on the board, its remaining members appoint a replacement, perpetuating itself over time.
OpenAI was just such a board-only organization. Even though Altman was CEO, OpenAI was led officially by its board of directors.
This is a stranger way of running an organization than it may seem. For a small, private foundation, it may work just fine: Such an organization has no staff and probably meets rarely. (Most U.S. nonprofits are just this sort of organization.) But when a board-only nonprofit gets big — when it fulfills a crucial public purpose or employs hundreds or thousands of people — it faces an unusual lack of institutional constraints.
Consider, for instance, what life is like for a decently sized business, a small government agency, and a medium-sized nonprofit. The decently sized business is constantly buffeted by external forcing factors. Its creditors need to be repaid; it is battling for market share and product position. It faces market discipline or at least some kind of profit motive. It has to remain focused, competitive, and at least theoretically efficient.
The government agency, meanwhile, is constrained by public scrutiny and political oversight. Its bureaucrats and public servants are managed by elected officials, who are themselves accountable to the public. When a particularly important agency is not doing its job, voters can demand a change or elect new leadership.
Nonprofits can have some of the same built-in checks and balances — but only when they are controlled by members, and not by a board. If a members association embarrasses itself, for instance, or if it doesn’t carry out its mission, then its membership can vote out the board and elect new directors to replace them. But stakeholders have no such recourse for a board-only nonprofit. Insulated from market pressure and public oversight, board-only nonprofits are free to wander off into wackadoodle land.
The problem is that board-only nonprofits are only becoming more powerful — in fact, many of the nonprofits you know best are probably controlled solely by their board. In 2002, the Harvard political scientist Theda Skocpol observed that American civic life had undergone a rapid transformation: where it had once been full of membership-driven federations, such as the Lions Club or the League of Women Voters, it was now dominated by issues-focused advocacy groups.
From the late 19th to the mid-20th century, she wrote, America “had a uniquely balanced civic life, in which markets expanded but could not subsume civil society, in which governments at multiple levels deliberately and indirectly encouraged federated voluntary associations.” But from the 1960s to the 1990s, that old network fell apart. It was “bypassed and shoved to the side by a gaggle of professionally dominated advocacy groups and nonprofit institutions rarely attached to memberships worthy of the name,” Skocpol wrote.
The sheer number of groups exploded. In 1958, the Encyclopedia of Associations listed approximately 6,500 associations, Skocpol writes. By 1990, that number had more than tripled to 23,000. Today, the American Society of Association Executives — which is, just so we’re clear here, literally an association for associations — counts almost 1.9 million associations, including 1.2 million nonprofits.
This new network includes some nonprofits that claim to have members but are not in fact governed by them, such as the AARP. It includes “public citizen” or legal-advocacy groups, which watchdog legislation or fight for important precedents in the courts, such as Earthjustice, the Center for Biological Diversity, or Public Citizen itself. And it includes independent, mission-driven, and board-controlled nonprofits — such as OpenAI.
There is nothing wrong with these new groups per se. Many of them are inspired by the advocacy and legal organizations that won some of the Civil Rights Movement’s biggest victories. But unlike the member federations and civic associations that they largely replaced, these new groups don’t force Americans to engage with what their neighbors are thinking and feeling. So they “compartmentalize” America, in Skocpol’s words. Instead of articulating the views of a deep, national membership network, these groups essentially speak for a centralized and professionalized leadership corps — invariably located in a major city — who are armed with modern marketing techniques. And instead of fundraising through dues, fees, or tithes, these new groups depend on direct-mail operations, massive ad campaigns, and foundation grants.
This is the organizational superstructure on which much of the modern climate movement rests. When you read a climate news story, someone quoted in it will probably work for such a nonprofit. Many climate and energy policy experts spend at least part of their careers at some kind of nonprofit. Most climate or environmental news outlets — although not this one — are funded in whole or part through donations and foundation grants. And most climate initiatives that earn mainstream attention receive grants from a handful of foundations.
There is nothing necessarily wrong with this setup — and, of course, an equivalent network devoted to stopping and delaying climate policy exists to rival it on the right. But the entire design places an enormous amount of faith in the leaders of these nonprofits and foundations, and in the social strata that they occupy. If a nonprofit messes up, then only public attention or press coverage can right the ship. And there is simply not enough of either resource to keep these things on track.
That leads to odd resource allocation decisions, business units that seem to have no purpose (alongside teams that seem perpetually overworked), and decisions that frame otherwise decent policies in politically unpalatable ways. It regularly burns out people involved in climate organizations. And it means that much of the climate movement’s strategy is controlled by foundation officials and nonprofit directors. Like any other group of executives, these people are capable of deluding themselves about what is happening in the world; unlike other types of leaders, however, they face neither an angry electorate nor a ruthless market that will force them to update their worldview. The risk exists, then, that they could blunder into disaster — and take the climate movement with them.
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The large renewables developer changes tack “in response to federal energy objectives.”
Trump’s solar freeze is now so tough that at least one renewable energy developer has asked his administration to turn their permitting application into a data center and gas-fired power plant instead.
Renew Development HoldCo – an LLC created by Clearway Energy Group – wrote the Bureau of Land Management in April asking if they could amend their 2021 application to build the Amber solar project, a 500-megawatt solar project in the Nevada desert that would require building on federal land. Their requested change? “[T]o formally remove the proposed solar facility and replace it with the development of a proposed data center and natural gas facility,” according to a copy of the letter I obtained.
“This amendment is the result of a shift in our internal development priorities and an updated assessment of project timing, in order to better align with the goals of our Administration,” reads the letter, which is dated April 3 and signed by Clearway’s chief development officer John Woody. “The data center concept is in exploratory early stages and as such has a longer and more flexible development horizon, and we believe its schedule will better align with the Bureau’s current workload and staffing plans.”
Now, this swap is somewhat shocking but shouldn’t exactly be a surprise. Companies with federal energy leases are struggling to get their renewable projects permitted by a hostile Trump administration. We’ve already seen some offshore wind developers ditch their leases in favor of payouts and commitments to build more fossil infrastructure. Clearway Energy Group is owned by Global Infrastructure Partners and TotalEnergies, the latter of which struck such a deal in March.
But this does appear to represent an aberration for Clearway, one of the nation’s largest operators of renewable energy projects and whose marketing materials primarily focus on “clean energy.” Nearly all of the company’s portfolio is carbon-free power or energy storage generation sans a handful of “flexible generation” energy projects in California, according to an online map of their project pipeline. The company did not disclose in the documents I reviewed if the gas plant itself would power the data center, provide power to the wider grid, or both.
Candidly, I’ve been watching like a hawk to see if Trump’s chokehold on solar and wind permits would lead to more gas infrastructure and data centers on federal property instead. And companies are getting data center permits when they ask to swap out their solar farm for AI infrastructure. On Friday, I reported that a joint venture involving renewables developer Arevon and energy trader Bill Perkins got permission from BLM to switch an environmental permit tied to a solar farm for one allowing a new data center. Environmentalists plan to legally challenge BLM’s determination as they say it’s a test case for the future of federal land policy.
It’s unclear if Clearway would be the one to build and construct this hypothetical data center and power plant. I for one can’t find any evidence of Clearway developing data centers before. My best guess is that if they do move forward with this, it would look like the joint venture I covered on Friday, where Arevon distanced itself from the actual day-to-day operations of the development and a new firm specializing in data centers came in. But that’s just a hunch and there’s a saying about assumptions.
Nevertheless, Clearway is clearly handling the permitting side. Attached to the Clearway letter was an application also sent to BLM for constructing utility and telecommunications facilities on federal lands, a document technically known as an SF299. The application states Clearway considered using solar energy for the data center as well as using private land, but their alternative designs weren’t selected because they had “higher environmental and stakeholder conflicts.”
Also, in a section of the document requesting Clearway provide a “statement of need for the project,” the developer said it was submitting this proposal “in response to federal energy objectives” and specifically cited Trump’s Day 1 executive order which the company said “encourage[d] development of reliable energy projects on federal lands.”
I reached out to Clearway asking for more information on the letter and application. In response, the company claimed the solar project wasn’t being killed – it simply was moved to private land. They also declined to comment on the data center and gas project. Instead, I was provided a statement attributable to an unnamed spokesperson that “while we do not comment on any individual application while it moves through federal approval processes, we are pleased to be advancing more than 4 GW of solar and battery resources in Nevada on private and public lands and expect those projects to deliver tremendous economic benefits to the communities where they’re built.”
“Clearway values its strong working partnership with the BLM, its Southern Nevada office, and also with state and local interests in Nevada. Across all of these relationships, we continuously assess how best to develop and deliver infrastructure that meets needs and aligns with local and national policies and goals.”
Current conditions: Hurricane Genevieve formed into the first major storm of the season, strengthening to Category 4 off Mexico’s Pacific Coast on Sunday but steering clear of any land for now • Hurricane Fausto, meanwhile, is weakening as it heads toward Hawaii • China evacuated hundreds of thousands of people as Typhoon Noul made landfall.

Wildfires in France and Spain forced roughly 300,000 people to evacuate their homes in what the French Interior Minister Laurent Nuñez called an “unprecedented” blaze. In Spain, the central western province of Avila suffered what the broadcaster France24 described as its “worst blaze in recent history” as Prime Minister Pedro Sanchez directly linked the disaster to climate change. By Sunday evening, in France, flames had come within nine miles of the southwestern city of Bordeaux in the heart of the nation's storied winelands as President Emmanuel Macron vowed to “rebuild.” Others saw the disaster as a sign of overdue lifestyle and infrastructure changes in the face of a warming planet. In Le Monde, the newspaper of record, the philosopher Cynthia Fleury and the Socialist mayor of the town of Saint-Médard-en-Jalles, Stéphane Delpeyrat-Vincen, argued: “What is burning is not just forests, but a way of inhabiting the land that is no longer possible.” The fires come weeks after a series of historic heat waves in Europe, including the hottest June on record, which made tinderboxes of parched woodlands.
President Donald Trump last week announced a landmark deal with Saudi Arabia to help build the kingdom’s first nuclear power station, besting the Russians and the Chinese in a race to tap into one of the world’s most coveted new export markets for atomic power technology. While the White House has yet to release all the details on the geopolitically meteoric agreement with Riyadh, sources with knowledge of the deal have confirmed to me what’s been reported elsewhere — that the deal will almost certainly include new large-scale Westinghouse AP1000s. Over the weekend, The New York Times identified another element to the partnership: Trump’s family and personal friends may benefit. The newspaper pointed to ties between a firm owned by Secretary of Commerce Howard Lutnick’s sons and Westinghouse; links between Eric Trump and Donald Trump Jr.’s investments into quantum computing and former Texas Governor Rick Perry’s Fermi America project to build AP1000s in Texas; and suggested that TAE Technologies, the fusion company merging with the corporate parent of Trump’s Truth Social platform, could see potential benefits from the Saudi deal. “There is no evidence at this point that Mr. Trump’s friends or family helped orchestrate the Saudi nuclear deal,” reporters Eric Lipton and Kate Kelly wrote. “Yet a number of the president’s allies and relatives, including members of his cabinet, stand to benefit if his big bet on nuclear power pays off. Certain investors with ties to these deals are positioned to profit, even if the delivery of large new loads of nuclear-powered electricity remains years away.”
The Trump administration is, in fact, making a real attempt at building new AP1000s at home. As my colleague Robinson Meyer wrote last month, a major Department of Energy deal would help utilities buy the parts needed to build more Westinghouse reactors.
Chip giant Nvidia is considering providing a $250 billion backstop to fund OpenAI’s data center project in southern Ohio, The Wall Street Journal reported on Sunday. The deal would guarantee up to half of the capital needed to lease SoftBank’s 10-gigawatt data center to supply computing power to the ChatGPT maker.
GE Vernova’s backlog of orders for gas turbines, meanwhile, now stretches to 2031 and accounts for a cumulative 116 gigawatts of power-producing capacity. In its latest earnings call, covered in Utility Dive at the end of last week, the company posted double-digit revenue and order growth in the division that supplies equipment for gas, hydro, nuclear, and grid facilities.
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Back in February, I told you that Japan was stepping up its efforts to extract rare earths from seabed minerals. On Friday, Tokyo confirmed it had discovered that medium and heavy rare earth elements accounted for about 54% of the rare earths mined from mud recovered from a remote Pacific island, Mining.com reported. The finds come after the government-backed vessel Chikyu sucked nearly 50 metric tons of mud from Minamitori Island, an uninhabited atoll located closer to Wake Island than Tokyo. Heavy rare earths, such as dysprosium, terbium, and yttrium — and medium rare earths such as samarium, europium, and gadolinium — are trickier to process. China controls the market for both categories by a wider margin than for light rare earths. That makes Japan’s discovery so exciting. Separating metals out of the mud could be an easier process than from other ores, potentially supplying the democratic world with a new source of non-Chinese minerals.
When the Biden administration tried putting rules in place for producing clean hydrogen, as my colleague Emily Pontecorvo explained nicely at the time, the regulations posed a problem for efforts to make fuel through nuclear-powered electrolysis. That’s because the incentives to ensure developers built new solar and wind rather than cannibalizing existing grid resources for hydrogen production made it impossible for nuclear reactors to qualify. Companies such as Constellation Energy, which had the nation’s leading experiment in nuclear-powered hydrogen production, protested. It all turned out to be for nought, since Trump ultimately wiped out the tax credits. As with so much nuclear technology that faces political tumult in America, South Korea is moving in to try its hand at hydrogen fuel production. Korea Hydro & Nuclear Power, the country’s state-owned nuclear giant, said it will launch a pilot program to produce hydrogen using heat and electricity from reactors, Hydrogen Insight reported last week.
India, meanwhile, is beefing up its plans for small modular reactors. Earlier this month, I reminded you about New Delhi’s plans to open its nuclear sector to foreign investments after years of icing out all but Russia’s state nuclear vendor. That isn’t to say India isn’t looking to continue building its own indigenously-designed units. On Friday, NucNet reported that the country plans to develop and operate at least five of its own SMR designs by 2033.
Last week, Heatmap editorial fellow Ameya Hadap broke news that Koloma, a startup seeking to spur natural production of hydrogen, had inked a deal to look for gas deposits across 817 square miles of the Philippines’ largest island, Luzon. It’s not the only subsurface search for clean energy. Last week, the country’s Economy and Development Council approved the Philippines’ first financing package to de-risk geothermal investments, Think Geo Energy reported.
The data center boom is everywhere you look in U.S. economic and emissions data.
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.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.