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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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At this point, I think it’s clear that AI data centers are unpopular.
You probably know it, at least. I was preparing talk about data center opposition on a podcast today and I took the opportunity to dive back into our data, so I certainly know it. At this point, we’ve written about results from our polling that show Americans overwhelmingly oppose local data center construction, that majorities of Americans now support a national data center moratorium, and that the only group of Americans who feels more optimistic than pessimistic about artificial intelligence is … men older than 65 years old.
So I got curious: Given all that, who actually supports AI data centers?
One question from our recent Heatmap Pro poll, conducted by Embold Research, helps give us a sense. This is the profile of someone our data says would support a data center built in their local area:
A few facets stand out. These data center YIMBYs are more likely to be men, and more likely to be 2024 Trump voters, but they’re not locked into one age demographic or voting cohort. A third are Harris supporters, and roughly a third are women. Data center YIMBYs are more likely to be older than 50, but the majority isn’t overwhelming.
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Perhaps more surprising: The group has many more people who voted third-party in the 2024 election (8%) than the general population (just under 2%), although that response could also include people who didn’t vote. (Alas, the data can’t quite confirm how many in this group are libertarian.)
What’s perhaps most interesting: This group overwhelmingly believes that artificial intelligence will make their lives better. And in heartening news for climate advocates, they are even more likely to support a given data center project if it is powered by renewables.
I was going to joke that the profile is essentially a newly retired engineering dad — except that, to my surprise, these data center YIMBYs are far less gender imbalanced than the American engineering profession. (They’re also less gender-imbalanced than American Tesla owners.) So I’ll leave it at that.
Five takeaways from the latest Lazard Levelized Cost of Energy report.
It’s all getting more expensive.
That’s the conclusion of the investment bank Lazard’s latest report on the levelized cost of energy, one of the most closely watched and cited energy reports of the year.
Levelized cost of energy measures the dollars per megawatt-hour a power plant needs to earn in revenue to break even over the course of its lifetime in present-value terms.
What makes LCOE so alluring is that it’s a way to compare any type of generator, whether it requires a large upfront investment but has few operating costs, like a utility-scale solar project, or whether its expenses are largely fuel costs incurred in the future, like a combined cycle natural gas plant. This is also why LCOE has its critics, who point out that a solar panel that only runs during certain times of day has a different value to the electricity system than a natural gas plant that can ramp up and down quickly or a nuclear plant that provides steady baseload power.
Anyway, here’s what we can learn from this year’s Lazard report.
Curves that were once gently sloping downward are starting to look like incipient U’s. While longterm LCOE falls are still dramatic and impressive for some technologies — utility solar has fallen from $359 per megawatt-hour in 2009 to $69 in 2026 — the short term rises are worrisome. That $69 per megawatt hour represents a nearly 10% increase from 2025, when utility-scale solar had a LCOE of $58. And it’s not just renewables — the LCOE for a combined cycle natural gas plant rose from $78 per megawatt-hour to $90 in the past year. Gas plant LCOE got as low as $60 in 2021. That’s a 50% price hike in just five years.
Lazard attributed the increase in solar and wind LCOE to “higher capital costs, sustained interest rates, tariff pass-through and supply chain repricing.” These technologies are also the most “sensitive” to subsidies by way of the tax code, with federal tax tax credits taking the low end cost of utility solar to as low as $16 per megawatt hour. To the extent those tax credits are no longer available or weren’t accessible due to strict eligibility rules, that could be a source of future upward pressure on costs.
That being said, renewables “maintain their relative cost advantage despite facing the same cost pressures affecting the rest of the generation stack,” the Lazard analysts concluded.
Natural gas, meanwhile, is seeing prices spiral upward on huge and growing customer demand.
“Continuous upward revisions to demand projections have driven a sharp increase in announced new-build gas generation despite a 15-year high LCOE and historically long development lead times,” according to Lazard.
The report hints at what LCOE is not always able to capture, namely that generators like gas have attributes besides low cost that make them attractive. “New gas combined cycle plants offer the lowest-cost dispatchable power in high-demand and low-cost-gas environments,” the analysts point out.
Anyone building a new combined cycle gas plant, however, will have to deal with the high cost and low availability for turbines, which is “extending development timelines well beyond historical norms.” That provides an opening for renewables that can be deployed quickly and cheaply, like solar and accompanied by battery storage.
In 2019, the low end of LCOE for onshore end was $28 per megawatt-hour, according to Lazard’s figures, and the high end was $54. In 2026, however, the low end costs sits a bit higher at $37 per megawatt-hour, but the high end cost rose to $99. There’s a similar story for utility solar: in 2019, the spread between low and high was a snug $8 per megawatt-hour, while this year it’s ballooned to $58.
The broadening range is “likely reflecting that some project developers have been better able to mitigate broader cost pressures across supply chain and project-level economics than others,” the Lazard analysts wrote.
The Lazard report doesn’t just look at the discounted cost of individual generators over their lifetimes. It also tries to figure how much they cost on certain grids. One way of doing this is to look at what Lazard calls the “cost of firming intermittency” or “levelized firming costs.” This is essentially looking at what it costs to bring solar, solar and storage, and wind and storage onto actual grids considering their ability to perform when the grid is most stressed.
This measure tries to refine LCOE to give a sense of how various forms of energy generation compare to gas plants in real world circumstances, not just as a financial construct. This is not a perfect, real-world comparison — gas capacity needs to be “firmed” as well, as it’s not always entirely available at times of peak need — but at least it gives an idea of how these resources actually function in a real-world grid.
Even with firming costs, “renewables remain broadly cost-competitive,” the report concludes.
Not surprisingly, some of the most dramatic costs are in America’s most troubled electricity market, PJM Interconnection. The unsubsidized cost of firming intermittency for solar and storage is $167 per megawatt-hour, compared to $150 in Texas or $115 in California. That’s also compared to a $129 per megawatt-hour at the high end for conventional combined cycle gas plants in PJM.
PJM is notorious for its inability to bring on new resources quickly and its strict standards for accrediting the contribution of storage and renewables to grid stability.
While the Lazard authors explicitly caution that it doesn’t measure what the“total system costs are for 1 MWh of incremental electricity” and can’t say “the optimal mix of renewables, conventional generation and storage,” it does conclude that “firming costs and dispatchability are increasingly critical for comparing resources on a more complex grid.”
In short, no matter what ends up on the grid, grid planners will have to think carefully about how to make sure it’s reliable and works in concert with what’s already there.
Timber companies think of them as pests, but new research indicates that stands of the slender tree can act as barriers against raging flames.
Colorado’s Aspen Acres Fire is named after a quiet RV campground located high in the San Isabel Mountains, about a five-hour drive due southeast of the state’s better-known Aspen. Both places, however, are named after the iconic deciduous tree known for its golden leaves in the fall. While the start of monsoon season may yet prevent the Aspen Acres Fire — the seventh-largest in Colorado’s history — from joining Utah’s Babylon Fire as the second 100,000-acre “megafire” of the season, the conflagration has been aided in its rampage not by aspens, but rather by dead, downed, and blighted ponderosa pines, spruce, and Douglas firs. The wildfire has now burned over 98,000 acres and nearly 300 homes, and is only 36% contained due to steep terrain that has hampered firefighting efforts, along with extreme drought conditions and beetle infestations that have greatly degraded the forest health of the region.
But what about its aspens? Though the extent of the damage at the campground remains unknown, according to a recent study of Populus tremuloides, Colorado’s iconic golden trees could be one of the keys to more wildfire-resistant forests in the future.
Flavie Pelletier, a recent PhD graduate of McGill University’s Natural Resource Sciences program, told me she first became interested in aspens while working as a tree planter in British Columbia. “The historical assumption on aspen is that stands are very good at stopping fire progression. But the paradox is that if you take an aspen by itself, it’s going to burn at high severity,” Pelletier, who published her findings in Forest Ecology and Management, told me.
By creating near-real-time maps of fires using satellites and comparing them against the Canadian Forest Service’s newly available maps of dominant tree species in the boreal, Pelletier and her colleagues discovered that aspen were almost two and a half times more common at the perimeter of a burned area than inside it. The finding suggests that despite the flammability of a single aspen with its thin bark, stands of aspen act as a kind of barrier when wildfire ran up against them, likely because they lack the flammable resins of conifers and their high foliage helps force running crown fires back toward the ground. Pine and spruce, by contrast, showed a near-zero or even negative effect.
When aspen stands did burn, Pelletier found they did so more slowly: A tree cover of 50% aspen burned at about 224 hectares per day, compared to 717 hectares per day in areas where aspen made up less than 10% of the cover. That’s the equivalent of about 1,000 FIFA-regulation soccer pitches per day in places where aspen are sparser — like Aspen Acres.
Even more surprising, though, was that the pattern held true in the early season, when the trees are still twiggy and have yet to grow their moisture-filled leaves, and despite the severity of fire weather. “Aspen still showed resilience even when the fire weather was very intense, [like in 2023, when] we had all the fires,” Pelletier said.
But she was also the first to admit that seasons are getting more extreme, and that there’s no guarantee the pattern will hold for the next 10 or 20 years.
Pelletier was reluctant to make a policy recommendation based on her research, noting that she’s not a forest manager. But in Alberta and British Columbia, timber companies spray hundreds of thousands of acres of timber with glyphosate, an herbicide, to kill off aspens because the trees outcompete the more commercially valuable conifers. Her findings are “a big argument to stop the spreading of herbicides because you’re increasing the risk of fire in your forest by removing aspen,” Pelletier said.
Despite her hesitation, Pelletier is explicit in her paper about one thing: that aspens “should be encouraged — specifically around key landscape positions, such as population centers” — given that they are a proven means of hardening the wildland-urban interface against wildfires. It might be too late for the idyllically named Aspen Acres, of course; any of the aspens that once drew tourists to the area are likely now ash.
But this not be Colorado’s last fire, either.