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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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Quiet desperation, meet artificial intelligence.
Like many new parents, I devote considerable time to thinking about sleep and why it’s not happening. Should I have sung the bedtime song and then changed the diaper? Did the baby need a fourth nap, or was the mistake letting her take a third so close to bedtime? It came as a surprise the other day, then, when a fellow parent in my baby group revealed she isn’t overthinking the whole sleep schedule thing at all. “I asked ChatGPT to write my baby’s sleep plan,” she told us. “It’s validating!”
To this author, personally, outsourcing parenting decisions to the world’s most sophisticated Mad Libs respondent seems like one of the signs that we’re doomed. Sleepmaxxing mothers aside, a plurality of Americans agree with me. Per Heatmap Pro’s latest polling, 45% of voters are “pessimistic” about the long-term impact of artificial intelligence on their lives, with just 22% saying they’re “optimistic” and about a third saying they’re unsure.
Americans were even more negative about the perceived impacts of AI on “society as a whole” — more than half, 55%, said they were pessimistic, while just 17% said they were optimistic. Maybe “future generations” will have it better? Eh. Again, net pessimism outweighed optimism in our polling by more than 30 points (52% to 20%).
Look a little closer at who hates their life because of AI and you might be surprised. The youngest respondents in the survey (and those who will have to live with the tech the longest), were by far the biggest doubters. Respondents aged 18 to 34 reported the most pessimism of any major demographic about the estimated impact of AI on their personal lives, tied with women generally at net 33 pessimistic over optimistic. For AI’s impact on society as a whole, there was a 53-point spread in favor of AI making things worse (68% pessimistic to 15% optimistic), which is 15 points worse than the next most pessimistic age group, the 35- to 49-year-olds.
Seniors, by contrast, are a little more sanguine. Among the 65-and-over crowd, the pessimism gap was a comparatively small net 12. In fact, men over the age of 65 were the only major group to report being more optimistic than pessimistic on AI’s impacts on future generations (34% to 30%) and on their own lives (35% to 32%). By contrast, young women were among the most negative of all groups; nearly three in four women in the 18 to 34 range (73%) said they were pessimistic about AI’s impact on society, and the same group was net 62 under water on AI’s effects on future generations. (Our findings are in keeping with other polls that show a gender gap on the embrace of AI.)
Education, surprisingly, wasn’t a big difference-maker. People who attended college reported nearly identical pessimism about AI’s impacts on society and future generations as non-college-educated respondents. College-educated people were just a few points less pessimistic about AI’s impact on their own lives, 25% versus 29% for those who didn’t attend.
So who actually thinks AI is going to be a good thing? Black respondents were at least more evenly divided on the impact of AI on their personal lives (33% optimistic to 33% pessimistic), though they were less convinced that the technology is good for society or future generations (13 points net pessimistic). People who prefer a hands-off federal approach to AI are generally encouraged by the technology’s application in their own lives, at net 13 optimistic. But even the most AI-friendly group’s outlook dropped off when considering its implications on society as a whole (net 4 pessimistic) and on future generations (net zero).
Independent voters bristled more at AI’s impacts on their lives (pessimism net 32) than Democrats (net 30), and on the question of “society as a whole,” the bloc ran away with net pessimism of 48, compared to Democrats (net 45) and Republicans (net 27). Among Republicans, MAGA voters were net 25 toward pessimism about AI’s impacts on their lives — in spite of President Trump’s boosterism — compared with the even-more-pessimistic non-MAGA voters at net 34 pessimistic.
Are Americans just a half-glass-empty group to begin with? Well, maybe — the percentage of adults who told Gallup they anticipate having “high-quality lives in five years” declined to less than 60% in 2025, the lowest level in two decades of polling. And while this is Heatmap’s first year tracking AI optimism, in Stanford University’s 2025 Artificial Intelligence Index Report, an adjacent line of inquiry found that people are increasingly warming up to the technology, with the “share of individuals who see AI products and services as more beneficial than harmful [rising] from 52% in 2022 to 55% in 2024.”
At the same time, about a third of Americans in our polling worried that AI puts their jobs at risk; a mere 6% said they believe that “AI will create jobs across the country, and I expect my own career to benefit.” Hopefully, there are no baby sleep trainers among their numbers.
The Heatmap Pro poll of 4,118 American registered voters was conducted by Embold Research via text-to-web responses from May 15 to 28, 2026. The survey included interviews with Americans in all 50 states and Washington, D.C. The margin of sampling error is plus or minus 1.6 percentage points.
Current conditions: The southwest monsoon known as “hagabat” has started in the Philippines, dumping up to 4 inches of rain on the archipelago • A strong geomagnetic storm, ranked just two levels below the most powerful type of event of this kind, is underway, threatening radio signals, GPS, and other human instruments that are sensitive to shifts in the Earth’s magnetic fields • San Antonio, where the glorious New York Knicks defeated the Spurs last night, is bracing for rain through the weekend.
To put it in terms a movie lover could understand, President Donald Trump’s Iran War is drinking the U.S. government’s milkshake. Federal stocks of oil have dropped to their lowest level since 2004. Commercial crude stocks fell by 8 million barrels to 433.7 million last week, according to The Wall Street Journal. Unless the Strait of Hormuz reopens soon — which looks less likely now that Iran has called off negotiations with the U.S. and Israel — prices could hit $200 per barrel by summer, said Bob McNally, president of the Rapidan Energy Group consultancy and a former White House adviser. “You start to raise the risk of spillover into other sectors, the economy and financial system … it detonates fragilities in the broader economy and financial system,” he told the Financial Times.
Oklahoma Attorney General Gentner Drummond has filed a lawsuit to block construction of the United States’ first new aluminum smelter in half a century over concerns about the project’s ties to the United Arab Emirates and risks it poses to the state’s cattle industry. Century Aluminum had planned to build the smelter with $500 million from the Biden administration. But in January, as I told you at the time, the company overhauled the deal to partner instead with the Abu Dhabi-based Emirates Global Aluminum, which said it became interested in the project after Trump slapped 50% tariffs on the metal. The move comes after Trump endorsed Drummond’s opponent in this year’s Republican primary for Oklahoma governor.
In the 12-page litigation, the state’s top cop alleged that the smelter, planned for a site 30 miles east of Tulsa, would “leach air and water pollutants that would injure the health, comfort, repose, and safety of the people in the region,” Mining.com reported. “A primary aluminum smelter does not belong in a community’s backyard and its emissions do not respect property lines,” Drummond wrote in the lawsuit, which asks the court to block the project. His lawsuit also refers to the UAE, a close ally of the U.S. and by far the most liberal of the Gulf Arab kingdoms, as an “Islamic foreign monarchy.”
The Electric Reliability Council of Texas, the state’s grid operator, approved what E&E News called two “landmark sets of rules of rules” this week that would “shape the future of data centers in the state if finalized.” One package sets up new criteria and processes for bringing big electricity users onto the grid by reviewing them in batches. The other requires data centers and crypto mining operations to remain online during brief grid disruptions in a bid to avoid the cascading outages that downed the electrical system during 2021’s deadly Winter Storm Uri.
The changes come as opposition to data centers reaches critical new heights. Seven in 10 Americans now oppose server facilities built near their homes, according to a new Heatmap Pro released a poll this week that my colleague Robinson Meyer wrote up here. The backlash has grown so severe that former Representative Ben McAdams, a Republican from Utah, is facing serious pushback from his Democratic opponent for the state’s new 1st Congressional District over his small stake in the renewable energy component of a proposed data center in the area, according to the Salt Lake Tribune.
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Taiwan, if you’ll forgive the pun, is in dire straits. The self-governing republic that has functioned as an independent country since the losing side of the Chinese Civil War fled there in 1949, is almost entirely reliant on imported fossil fuels to keep the lights on and semiconductor fabricators churning out the hardware that makes the island so valuable to the global economy. That reliance only grew last year when the ruling Democratic Progressive Party, which has opposed atomic energy since its founding in the 1980s, completed the country’s nuclear phaseout, shutting the last of the island’s three functioning plants. The government in Taipei is now considering starting back up at least one of the old nuclear plants. But, as I told you earlier this year, it’s also looking to geothermal to make up the difference. On Wednesday, the Ministry of Economic Affairs announced the first government-led tender for geothermal, Think Geoenergy reported. The six-month process is meant to develop geothermal zones in Taitung County, on the island’s southeast coast.
The Iran War isn’t just draining America’s crude stockpiles. It’s also spiking gas prices — and spurring a hybrid boom. Sales of hybrid vehicles revved 33% in May compared to the same month last year, according to a Wall Street Journal analysis of Motor Intelligence data. “The hybrids have been a godsend,” Mark Politte, the dealer principal at Stanley Subaru in Ellsworth, Maine, told the newspaper. They are “hotter than the non-hybrids.” While new vehicle sales are down 4.4% overall this year through May, hybrid sales are up 17% compared with 2025.
Meanwhile, autonomous electric vehicle company Waymo announced a deal on Thursday to recycle batteries from its nearly 4,000 operating robotaxis into battery storage for electric grids in California and Texas. Waymo’s fleet is made up mostly of Jaguar I-Pace EVs, which have 90-kilowatt-hour batteries. “Put a little haircut on that in terms of degradation and the effective capacity that would be left in those batteries when they’re suitable for repurposing, and we’re still talking about pretty significant capacity per battery,” Freeman Hall, CEO of B2U Storage Solutions, Waymo’s partner in the project, told Ars Technica.

The U.S. may be depleting its oil stockpiles, but it has increased its storage capacity for natural gas in the future. Underground storage capacity in the Lower 48 states increased slightly in 2025, growing mostly in the South Central and Mountain West regions, according to new data from the Energy Information Administration. “Underground natural gas storage provides a source of energy when demand increases, balancing U.S. energy needs,” analyst Jose Villar wrote. “We calculate natural gas storage capacity in two ways: demonstrated peak capacity and working gas design capacity. Both increased in 2025.”
Notes from Heatmap’s second Energy Entrepreneurship Summit.
I’m writing from Washington, D.C., today, after having the privilege of watching (and moderating) Heatmap’s second Energy Entrepreneurship Summit this morning. We heard from folks leading in a variety of technologies — geothermal, batteries, fusion, conventional nuclear — but I was struck by a few common themes.
The first was the new wave of excitement about fusion energy and how, in some ways, the artificial intelligence boom has reinvigorated the fusion conversation. Much like fusion, AI was a long-prophesied technology that made steady, iterative improvements over time — and then, one day, delivered a transformative product in the form of ChatGPT. I’m not sure if fusion has yet had a raw technological improvement on par with the transformer, the neural network innovation that preceded today’s AI chatbots and agents, but fusion startups have reported significant improvements in recent years. The industry believes — as do some fusion-pilled policymakers — that they will have commercial reactors on the grid by the mid-2030s.
The second is the degree to which surging electricity demand is pushing forward clean energy across the board. Although many (but not all) hyperscalers prefer to buy clean energy, the raw demand for power is fueling confidence among energy developers and technologists of all stripes. It’s great to make a commodity whose price is rising. At some point, this link between AI and electricity may become turbulent for developers — but we’re not there yet.
The final note is the degree to which U.S.-China competition now dominates conversations around the energy industry and the economy more broadly. I can remember a time when it was somewhat peculiar to point out that some forms of energy prowess strengthened the country’s national security — and that if the U.S. did not work those muscles, then China would. There was little overlap between the clean energy and security conversations. Now, the rise of globally competitive Chinese “electrotech” firms such as BYD, Xiaomi, and CATL has almost united the two discourses.
There is a growing recognition, too, that America will have to reindustrialize to compete. Policymakers sometimes talk about how the U.S. should use its (for now) still strong R&D apparatus to develop “leapfrog” technologies that can surpass Chinese products. But as America has by now repeatedly discovered, simply inventing a new technology is not enough. Creating an export industry — not to mention a business — actually requires commercializing that technology and scaling it. And that will entail the rudiments of an advanced industrial economy: more hardware factories, a larger grid, more manufacturing and process engineers.
These concerns over basic competitiveness colored discussions of even the most advanced technologies. Jackie Siebens, a vice president at the fusion startup Helion, said she was worried that fusion is going to “follow a story we’ve seen before,” where the United States demonstrates fusion first, “but China scales much more broadly.” Representative Don Beyer, a Democrat from Virginia who champions fusion, brought up a more fundamental concern: China is graduating hundreds of nuclear PhD engineers every year, he said, while America is only graduating a few dozen.
If affordability makes up one half of our new energy era, then these questions around competitiveness might be the other half. We’ll explore them, I’m sure, in the future. For now, thanks, as always, for reading.