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Americans have succumbed to the myth of dams, argues the author of a new book advocating for their removal.
There are over 91,000 dams in the United States — so many that if you put them all on a map and zoom out, it looks a little like a coverage map for a halfway decent phone network. Most of these dams exist for purposes of flood control and irrigation; a mere 3%, mostly clustered in the West, are used for hydropower. These projects account for over 30% of renewable energy generation in the U.S., which is actually on the smaller side by global standards. Around the world, it’s over 53%.
As the U.S. begins to heave itself toward decarbonization, though, hydropower “pretty much has to be a part” of the solution, many policymakers, scientists, and activists say — particularly because they can run when other sources of renewable energy can’t, like when the wind isn't blowing and the sun isn't shining. Currently, there is a major push to retrofit non-powered dams to produce electricity.
A contingent of activists, however, say we actually need to go in the opposite direction — and tear down the dams. Writer and filmmaker Steven Hawley argues in his new book Cracked: The Future of Dams in a Hot, Chaotic World (out this week from Patagonia Books, the mission-focused publishing arm of the outdoor apparel company) that Americans have been suckered into believing in the century-old “mythology” of dams.
The reality of hydropower emissions is surprisingly complicated and understudied. Recent research suggests there are huge discrepancies between the carbon footprints of different hydropower plants. Some have negative emissions, as Grist wrote in 2019, but others are little better than fossil fuel sources. It’s all in their location and the way they’re built and operated.
Hawley and I spoke on Wednesday about the drawbacks of dams, the historically corrupt allotment of water in the West, and the future of the environmental movement. A transcription of our conversation, edited and condensed for length and clarity, is below.
When I was a kid, my family took road trips to Grand Coulee and Hoover dams, where we oohed and ahhed over them as engineering marvels that make life in the West possible. In your book, you call this part of the “gospel” and “mythology” of dams. Can you tell me a little more about the power these stories still hold over us?
In the post-World War II environment, we were sold this story about how building large water control projects in arid desert basins all over the West would make modern civilization possible and even desirable. We embarked on a dam-building frenzy — not only in the flagship projects in the American West but all over the country. I think there was something like 90,000 dams built from 1930 to 1980 in the United States. The idea was that you could exercise a control over nature that would allow us to furnish a rising tide that would lift all boats. That’s proven to not be true. The flood that came as a result of the dams lifted a few people’s boats, but not everyone’s. There are still, for instance, in the migrant worker community, an alarming number of underpaid and poor people.
The second part of the story, particularly with the climate chaos that is facing us in our future, is that dams are a really inefficient and horrible way to store water because we lose so much water through evaporation. Estimates have doubled: It used to be the standard cost of evaporation out of the reservoir behind any dam was 10%. Now they’re saying, okay, maybe it’s closer to 20%. It’s only going to increase with the increase in temperatures. You can’t justify that in an era where water is scarce; losing that much of the volume of a reservoir to make clouds wasn’t the intent of those projects. The intent was to furnish water for people and places that need it and if you’re losing 20% a year, and there are years where there’s low or no precipitation as we’ve seen in the Colorado basin, you’re not going to have a reservoir.
The last part that’s blown up the mythology of dams is that dams are major producers of greenhouse gases. The sixth largest producer of methane on the planet is the world’s reservoirs. And we know that methane in the short term is a much more serious problem than CO2. You can’t have the world’s reservoirs emitting methane on the same level as the country of Germany and tell me that dams are providing clean, green energy or clean, green water storage for places that need it. It’s just not true. The science on that has evolved rather quickly. It’s widely accepted even by the federal agencies, the Bureau of Reclamation and the Army Corps of Engineers, that all reservoirs produce methane.
The Elwha River dam removal, pictured here in 2014, is the largest dam removal in U.S. history.John Gussman/'Cracked' (Patagonia Books). Used with permission.
I had a question about that! Prominent environmentalists are calling for a green building boom, stressing that, despite the drawbacks of some renewable technologies, the most important thing is for us to transition away from fossil fuels as quickly as possible. The Inflation Reduction Act offers a tax credit for the production of electricity from hydropower, and the Energy Department has announced $200 million for the modernization and expansion of hydroelectric power, calling it an important step toward President Biden’s goal of 100% clean electricity by 2035. In your opinion, can dams have a place in the energy transition?
Well, they can but they shouldn’t. We’re still subsidizing the fossil fuel industry, and the fact that these kinds of provisions make their way into energy bills should tell us more about the power of lobbying than it does about any kind of safe or sane or sound policy decisions. We know the science, we know that hydropower is not clean green energy, in addition to the destruction of salmon runs and ecological destruction of habitat.
[Dams] produce methane and we can’t have energy sources that are producing significant quantities of methane. So we should be looking at a serious cost-benefit analysis and ecological environmental analysis of every large dam project and start planning for getting rid of the ones that aren’t penciling out. Is there a variance in the amount of methane that each project produces? I don’t know, I’m not adept enough at the science to say what’s acceptable and what’s not. But some reservoirs — as one of the early researchers in this field pointed out, in terms of a CO2-equivalent greenhouse gas footprint — they’re on par with a large coal-fired plant.
In Cracked, you tell the story of Project 5311, a tribe-led effort to create a virtual power plant — that is, a network of decentralized renewable energy generators, like homeowner’s solar panels, batteries, or even EVs, that pool together to create a flexible electricity grid — as a way to offset and justify removing four Snake River dams. Could this be a model course of action on other rivers?
This is an exciting new frontier in the West for the utility industry. It does a number of things for indigenous communities. It gives them another revenue stream — here in the Pacific Northwest, the main revenue stream for a lot of Indian nations is the casino, and so becoming a player in the energy business diversifies their economy. We’ve seen this happen on the Nez Perce reservation already.
What would be really cool is if we could get key legislators in state houses to start supporting the ambitions of the Nez Perce. They can see, as most of the rest of us can, that we need to wean ourselves off fossil fuels. If the kind of environment that allowed humans to flourish over the past 200,000 years is going to continue, we’re gonna have to change the way that we do things. And I think Indigenous communities are seeing that they can be a part of that change. In the case of the Nez Perce, they can see that they can have their salmon-bearing rivers back, a key part of not only their economy but their religion and their society as well.
The bathrub ring in Reservoir Powell.Justin Sullivan/'Cracked' (Patagonia Books). Used with permission.
In addition to being part manifesto, part how-to guide, and part travelogue, Cracked is also a history of water usage in the West. But I’m also curious about your history — how did you become a dam buster?
My best friend in high school growing up was a massive fly-fishing nerd. He baptized me into that world and I started fishing and paying attention to what was going on on rivers. The second part of that story is, I had a friend who was kind of a fast talker, and he talked his way into being the editor of a fishing magazine and he called me up and said, “I don’t know the first thing about this subject. I’ll let you freelance all you want to.” And so I took that job and started writing about river issues.
What really sold me on dam removal was, at the time, there was a group of commercial fishermen that were starting to pay really close attention to what was happening in the streams that produce a lot of the fish that they catch. Any salmon species ultimately has to spend some time in freshwater, of course. And [the fishermen] were actually lobbying in state houses and legislatures and in Congress. Some that were out of work, they were actually doing stream restoration and a lot of them found that work really satisfying. And a lot of them learned that the main reason why they were suffering economically is because of dams that were cutting off their supply of fish. And I thought that was a pretty fascinating story. You don’t normally think of commercial fishermen as environmentalists, or at least you didn’t back then. But that’s what sold me, that series of events.
Many people are familiar with the idea that dams disrupt river ecosystems, but you write also that “an aggression against a wild river is ultimately an aggression against people.” I was surprised to learn that historically dams have been pitched to constituents as an equalizer when you argue they mostly benefit people with power.
Yeah, absolutely. There’s a section in the book about how the supposedly egalitarian work of the Central Valley Project in California instead goes to some already very wealthy farmers. What should really raise the ire of a lot of readers who care about clean water and rivers is just the way that the agricultural lobby, particularly in the state of California, has made water “flow uphill toward money.”
There was a deal that the Westlands Water District cut to basically take ownership of $3 billion worth of federal infrastructure and they also had their water rights guaranteed. So in years where the rest of Californians might be worried about, you know, whether they’re gonna have enough water to put a garden out, or even, you know, God forbid, in the future, take a shower. But Westlands will get their water no matter what. And that’s really corrupt. They’re not forced to take part in any kind of cutbacks the way the rest of us are. And that’s wrong.
Hoover Dam.The Carol M. Highsmith Archive, Library of Congress, Prints and Photographs Division/'Cracked' (Patagonia Books). Used with permission.
Do you have any parting words for readers who are making up their minds about these complicated trade-offs?
I think we’ve reached a crossroads in the environmental moment with a number of crises — the extinction crisis, the climate change crisis coming out as full bore. It’s a perfectly human response to be overwhelmed by that.
I was impressed with a couple of people that I interviewed who beseech the environmental community to get back to making arguments based on what is beautiful, what is aesthetically pleasing, and what is right for future generations. I think that’s really what the Remove the Dams movement is all about, is putting the environmental movement back on the side of what is — well, as I quoted Martin Litton at the head of one chapter, “don’t ask for what is reasonable, ask for what is right.”
We should be arguing not over what is, but what ought to be.
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At the end of the day, there will always be politics.
Today’s internet is inundated with “AI slop,” and mocking the often bizarre outputs produced of language models (recall the Google AI that recommended making pizza with glue) has become an online pastime. Yet artificial intelligence advocates have not been deterred from their claims of a utopian future made possible by AI. Whatever problems we face — including climate change — one day, we are told, they will be solved by the magical power of computing. The breathless headlines have been around for years: “How artificial intelligence can tackle climate change”; “How AI could power the climate breakthrough the world needs”; “Here are 10 ways AI could help fight climate change”; “9 ways AI is helping tackle climate change.”
Like much of the hype around AI, the specifics aren’t necessarily wrong. AI could help us understand the impacts of climate change more comprehensively, and can be used to locate solutions to particular challenges in technology and manufacturing. But as the extraordinary energy demands AI will impose on our system are coming into focus, and as some of the most important corporate AI leaders join hands with what could be the most anti-environment administration in history, the big picture problem becomes even clearer. Artificial intelligence can’t solve climate change because doing so will always require passing through the bottleneck of politics.
For those hoping to bring us to a glorious future guided by superintelligent computers, claiming that AI will solve climate change has become more urgent as the energy demands of the technology increase. Google reported last summer that since 2019, its emissions have increased by 48% because of its use of AI. The International Energy Agency projects that by 2026, AI will consume 1,000 terawatt-hours of electricity, as much as the entire nation of Japan, the world’s fourth-largest economy. Countries around the world are rushing to develop their own AI systems (the surprising capabilities of a new Chinese system called DeepSeek just sent the stock market tumbling), any of which could entail the same scale of energy demand as the ones created by American tech giants.
But imagine if we could snap our fingers and make that problem disappear? That’s what OpenAI CEO Sam Altman suggested in a recent interview with Bloomberg. “Fusion’s going to work,” he said when asked about AI’s energy demands, going on to say that “quickly permitting fusion reactors” is the answer — particularly those made by Helion Energy, a company whose executive chairman is, you guessed it, Sam Altman.
Of course, Helion has no fusion reactors to permit yet because no one does. Fusion’s promise of essentially limitless clean energy at low cost is tantalizing, which is why billions of public and private dollars have been invested in fusion research. But while technological gains are being made, there is still a great deal of uncertainty about how long it will take until fusion can reach commercial scale. It might be 10 years, or 20, or 50 or 100 — no one knows for sure.
But blithely insisting that incredibly complex problems will be solved easily and quickly is a specialty of tech barons. And if AI itself finds the solution to our energy problems? Even better.
There’s no question that AI is improving at a rapid pace, even if there are some things it’s still terrible at. And when it comes to climate, over time it will probably help produce incremental gains across a wide number of areas, from manufacturing efficiency to urban planning. But the more dramatic and consequential any idea is — whether it comes from AI or not — the more likely it is that it will have to move through the political process in order to be implemented.
And that’s where AI can’t help. A machine learning system can’t tell you the precise formula to please a recalcitrant senator or navigate a hundred city councils with different ideas about what kinds of clean energy projects they’ll allow in their towns. Politics is about people — their goals, their incentives, their fears, their prejudices — and it’s far too messy to be solved with numeric calculation, even by the most powerful AI system imaginable.
Let’s say that a year from now, an AI came up with both an entirely new way to design a fusion reactor and a revolutionary battery design that offered longer and denser storage, together solving so many of the problems scientists and engineers struggle with today. How would the fossil fuel industry react to this development? Would it say, “Oh well, oil and gas had a pretty good run, but now the world can move on”?
Of course not. It would use its extraordinary resources to battle against their competition, just as they always have. That’s what it did in the last election cycle, when it spent $450 million on campaigns and lobbying to preserve the industry and the riches it generates.
And while many hoped that the Republican Party would moderate its views on climate, at the moment it looks more like it is going backward — not just looking to undo every bit of progress made under the Biden administration, but also undermining renewable energy wherever it can. President Trump seems determined to destroy wind energy in America, which has been growing rapidly in recent years. Whether he succeeds will be up to the political system, not the inherent usefulness of a millennium-old technology.
In politics, good ideas don’t always win out. Who has power and what they are after will always matter a great deal, as Trump and the people he is bringing into the federal government are showing us right now.
AI can be a tool that helps us reduce emissions and mitigate the effects of climate change; the fact that its boosters regularly offer absurdly optimistic timelines for societal transformation doesn’t mean the underlying technology isn’t remarkable. But “solving” climate change isn’t merely a technological problem. It will always be a political one as well, and even the smartest piece of software won’t solve it for us.
It’s not just AI companies taking a beating today.
It’s not just tech stocks that are reeling after the release of Chinese artificial intelligence company DeepSeek’s open-source R1 model, which performs similarly to state-of-the-art models from American companies while using less expensive hardware far more efficiently. Energy and infrastructure companies — whose share prices had soared in the past year on the promise of powering a massive artificial intelligence buildout — have also seen their stock prices fall early Monday.
Shares in GE Vernova, which manufactures turbines for gas-fired power plants, were down 19% in early trading Monday. Since the company’s spinoff from GE last April, the share price had risen almost 200% through last Friday, largely based on optimism about its ability to supply higher electricity demand. Oklo, the advanced nuclear company backed by OpenAI chief executive Sam Altman, is down 25%, after rising almost 300% in the past year. Constellation Energy, the independent power producer that’s re-powering Three Mile Island in partnership with Microsoft, saw its shares fall almost 20% in early trading. It had risen almost 190% in the year prior to Monday.
“DeepSeek’s power implications for AI training punctures some of the capex euphoria which followed major commitments from Stargate and Meta last week,” Jefferies infrastructure analyst Graham Hunt and his colleagues wrote in a note to clients Monday. “With DeepSeek delivering performance comparable to GPT-4 for a fraction of the computing power, there are potential negative implications for the builders, as pressure on AI players to justify ever increasing capex plans could ultimately lead to a lower trajectory for data center revenue and profit growth.”
Investors fear that the proliferation of cheaper, more efficient models may hurt the prospects of technology companies — and their suppliers — that are spending tens if not hundreds of billions of dollars on artificial intelligence investments.
Just last week, both Altman and Mark Zuckerberg, the founder and chief executive of Meta, announced huge new investments in artificial intelligence infrastructure.
Altman’s OpenAI is part of Stargate, the joint venture with Microsoft and SoftBank that got a splashy White House-based announcement and promises to invest $500 billion in artificial intelligence infrastructure. There was already some skepticism of these numbers, with Altman-nemesis Elon Musk charging that certain members would be unable to fulfill their ends of the deal, Microsoft Chief Executive Satya Nadella told CNBC from Davos, “I’m good for my $80 billion.”
Zuckerberg, meanwhile, said late last week that his company was building a data center “so large it would cover a significant part of Manhattan,” which would require 2 gigawatts of electricity to power. (For scale, reactors 3 and 4 of the Vogtle nuclear plant in Georgia are a little over 1 gigawatt each.) He also said that Meta had planned up to $65 billion of capital expenditure this year.
These escalating announcements have been manna to investors in any company that provides the building blocks for large artificial intelligence systems — namely chips and energy, with companies like Nvidia, the chip designer, and power companies and energy infrastructure companies posting some of the best stock market performances last year.
But exactly how cheaper artificial intelligence plays out in terms of real investment remains to be seen. Late Sunday night Redmond, Washington-time, Nadella posted a link on X to the Wikipedia page for Jevons Paradox. The idea dates from 19th century Britain, and posits that increased efficiency in using a resource (in Jevons’ case, coal) could actually accelerate its depletion, as the resource becomes cheaper for the same economic output, encouraging more use of it (in Jevons’ case, iron).
“Jevons paradox strikes again!,” Nadella wrote. “As AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just can't get enough of.”
Investors in chips and energy companies are hoping that’s the case; at least so far, the market doesn’t appear to agree.
And it just raised a $20 million round of Series B funding.
A century ago, prospectors tromped through remote areas, hoping to spot valuable, mineralized rocks simply poking out of the ground. Eventually, after they found all of the obvious stuff, they progressed to doing airborne geophysical surveys that used tools such as electromagnetic sensing to identify minerals that were just below the surface or highly concentrated. But there’s always been a lot more out there than we had the mechanisms to find. So now, companies are training artificial intelligence models on heaps of historical data to help locate untouched reserves of minerals that are key to clean energy technologies such as electric vehicle batteries and wind turbines.
One of the biggest players in this space is Earth AI, a Sydney-based startup that today announced a $20 million Series B round, bringing the company’s total investment to over $38 million since its founding in 2017. While the company had initially sought to raise $15 million in this round, investor interest was so strong that it exceeded its target by $5 million. Lead investors were Tamarack Global and Cantos Ventures.
Earth AI has a two-stage business model. First, it uses its proprietary software to locate likely deposits and purchases the mineral rights to the land. Then, it sends in its drilling rig and in-house team of geologists to produce mineral samples. The team then shows these samples to mining companies to prove that the area warrants further development and — assuming the miners are interested — sells them the mineral rights. “Because of the scarcity of this, because of the deficit of where we are and where we’re going, these price tags are $500 million to $2.5 billion,” Monte Hackett, Earth AI’s chief financial officer, told me. Huge as that may sound, it’s much less than what a mining company would typically spend doing traditional exploration themselves. This latest funding will allow the startup to purchase additional drill rigs and increase its project pipeline to over 50 sites.
“The problem is obvious,” Hackett told me. “We need $10 trillion of critical metal production by 2050. We’re producing $320 billion, a $9.7 trillion shortfall.” To better locate the trillions of dollars worth of minerals necessary for the energy transition, the startup’s CEO, geoscientist Roman Teslyuk, digitized decades of old Australian geophysical survey data, then overlaid that with remote sensing data such as satellite imagery to train a model to recognize the Earth systems and geological processes that created minerals deposits millennia ago. “Another way I like to think about it is that our algorithm looks for the geological shadow that is cast by a dense mineral body,” Hackett explained in a follow-up email.
Hackett told me that Earth AI focuses specifically on “greenfield” applications — that is, areas where no mining activity or substantial minerals exploration has previously occurred. So far, the company’s discoveries include a significant deposit of palladium, which also contains platinum and nickel, as well as a gold deposit and a molybdenum deposit. “We’re finding things that go against what has been the common sense of the industry so far,” Hackett told me, referencing the company’s palladium discovery. “There was geological consensus that there was no platinum palladium on the East Coast of Australia, and our algorithm learned what it looked like on the West Coast and then identified it on the East Coast.”
While Hackett said Earth AI is open for business anywhere, right now all of its projects are in Australia, where the company has “600 ‘x’s on our treasure map” — that is, likely areas for deposits, Hackett wrote in a follow-up email. Outlining the advantages of doing business there, he explained, “We don’t have to go somewhere where there’s unsavory working conditions or there are issues where we have to put our principles into balance. Here, everything is very regulated and above board.” Plus, mining has long been an important component of the Australian economy. “They’re incredibly efficient at doing this well. So the timeline for development is the shortest compared to other places,” Hackett told me.
This tech could have important domestic implications too, though. As the newly-inaugurated President Trump prioritizes ramping up U.S. production of critical minerals, Earth AI could one day help locate deposits here, as well. And since Australia is a close American ally, the nation could play a key role in helping wean the U.S. off of Chinese imports, providing the U.S. with critical minerals that it can’t now, or perhaps ever, produce in sufficient quantities itself.