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A conversation with anti-tech extremism researcher Mauro Lubrano on Sam Altman, Tesla protests, and 5G.

A spate of headline-grabbing attacks motivated by anxiety over artificial intelligence have rattled nerves across the U.S.
On Friday, I wrote a story about whether developers should be worried about violence after a shooting in Indiana targeted a city councilman who had voted in favor of a local data center. Almost at the same time the story published, news broke that an attacker had attempted to firebomb OpenAI CEO Sam Altman’s house. On Monday, the Justice Department filed charges against a 20-year-old from Texas for allegedly throwing a Molotov cocktail at the AI executive’s house. The Houston Chronicle reported that the individual charged had a Substack where they posted several anti-AI screeds; while I have reviewed the blog and can verify it exists, I cannot confirm the author’s connection to the individual charged.
As if that wasn’t enough, just days after the alleged firebombing, two people shot at Altman’s house.
To attempt to make sense of such chaotic brutality, I spoke with Mauro Lubrano, a lecturer at the University of Bath in the United Kingdom and author of the new book Stop the Machines: The Rise of Anti-Tech Extremism. Lubrano has for much of his career studied the rise of a global decentralized movement against tech infrastructure, including energy and transportation systems. Last year, for example, he published a detailed examination of the spate of attacks against Tesla vehicles, dealerships, and factories, calling them “insurrectionary anarchism” rooted in “anti-tech extremism” that “spans multiple ideologies — from eco-extremism to eco-fascism.”
Lubrano and I discussed how a prevailing pessimism about the future, AI acceleration, and climate anxiety is making people more likely to launch physical attacks on devices representing a perceived techno-apocalypse. Lubrano said we should expect more people to attack things linked to electricity itself, and that the solution to the violence is not eco-modernism or optimistic thinking, but rather society finally working through the hard questions raised by AI, climate change, economic inequality, and the other ills vexing so many today.
The following conversation was lightly edited and condensed for clarity.
We’ve seen these movements against tech infrastructure — attacks, threats — for a while. The concept goes back a long time. For a lot of folks in the U.S., there’s analogues here ranging from the assassination of the UnitedHealthcare CEO to ecoterrorism attacks on pipelines and other forms of energy infrastructure. How would you characterize the forces driving these recent attacks on executives and politicians supporting AI data centers?
When we look at anti-technology violence, we tend to see two main patterns of violence: attacks on tech executives, personalities, and so on; and attacks on critical infrastructure. This is related to a worldview that technology is not a collection of individual devices, but part of an interconnected system. Some anti-tech extremists will refer to the “mega-machine,” one that has three main manifestations. There’s an ideological one — the general idea that progress is inherently good. There’s the material manifestation, which is the technologies we interact with every day. And there’s the human component. People become cogs. So by targeting cogs in the machine, you contribute to the collapse of the machine itself.
There’s a propaganda element to all of this, too, targeting individuals who for one reason or another are prominent so it sends shockwaves to the tech community, to make some people change minds or join them in their anti-tech fight, or to just deter people from pursuing research on technology.
Then there’s also critical infrastructure. It comes back to this vision of the mega-machine, where instead of targeting individual technologies you target those critical for the machine to function. They want to strike those first because they will create a domino effect, where they affect all the technologies and the collapse of the system. You will find the attacks tend to cluster around specific targets.
How do you define technology here? Do you mean any kind of tech application? I’m hearing what you’re saying and thinking this may apply to more than AI.
Oh, of course. It’s not just AI. When these people think of technology they are not just thinking of devices but know-how, the ideology of progress, of social forces shaping society and how it works and how labor is organized. Technology is a complex entity, in a way.
In the early 2010s, for example, you saw attacks on facilities after the Fukushima Daiichi disaster. More recently, you had attacks on companies making semiconductors and microchips, so if you take out microchips you cripple the system. And data centers have been discussed for quite some time — I wouldn’t be surprised if we see something happen there, as well. It’s about identifying technologies that all other tech depends on.
There’s an argument some of them make that there’s only one technology all the other depend on, which is electricity. That’s why we’ve seen attacks on power plants, on different targets related to power.
Are you speaking about organized groups? Discussions and forums? I’m sure you’re referencing people you know of, but help us get a better understanding.
When we look at the violent side of the coin we need to acknowledge first that these networks, these movements, reflect trends we’ve seen in political violence over the last few decades, trends that show us we’re in a post-organizational era of political violence. We have names, we have acronyms, but these names are not as important as they used to be. These are decentralized networks, often leaderless, that operate without solid hierarchies or chains of control. We’re not talking about organizations like Al-Qaeda or the Irish Republican Army. We’re talking about networks in which militants often do not know each other because they interact online.
Some of the networks that have been involved in these kinds of attacks are the Informal Anarchist Federation. It formed in 2003 in Italy and became a global entity around 2011. There’s the Conspiracy of Fire Nuclei, which emerged in Greece and then became international. And then there’s a series of ad hoc groups that have emerged over the decades, sometimes who are only known because they’ll release a communique after an attack. Like there’s Vulkan Group, which has carried out a series of attacks on Tesla factories in Germany. Or Individualists Tending to the Wild.
An affiliation to a network is not motivated by gaining material or support or leadership. It’s almost an identity factor because again, when these individuals carry out attacks on their own, they don’t rely on existing networks for support. They might also only be around for one or two attacks because it’s not the group that matters — it’s the network.
Is it just the rise of modern technology driving this violence? Are there other factors at play inciting events, creating this current wave of attacks?
One of the remarkable qualities of anti-tech extremism is that it’s quite flexible. The way this decentralized system works, especially on the anarchist or eco-extremist side, is one side will carry out an attack in a communique they publish online and then make a call for similar attacks on similar targets. Whether or not attacks occur is up to others in the network. If a campaign is considered not really appealing, this might not take place. If instead it’s deemed appealing, you’ll see more attacks.
Last year there was a campaign a French group started called Welcome Spring, Burn a Tesla, which resulted across Europe in a lot of Tesla dealerships being torched. There was some confusion because there was also a campaign against Elon Musk and Tesla, but that wasn’t carried out by people motivated by anti-tech violence, but instead Musk’s role in the U.S. government.
There can also be things people say that incite. In this case, there was an interview recently where Sam Altman basically said if AI is going to steal all the jobs, then maybe those jobs weren’t “real” in the first place. That type of statement is likely to make a few people annoyed. It’s hard to consider what type of development might constitute a catalyst for violence.
I’m struck by the way you’re describing this movement and the rhetoric and signals. I think about Alex Jones and, for example, the idea that 5G is going to brainwash people on behalf of globalists. Do you see anything in global politics providing kindling to this fire?
This is an interesting question because conspiracy thinking is widespread amongst these groups, that there’s this obscure force at work determining outcomes. But on the other hand it depends. In certain groups of people, there’s such a rejection to anything conventional that you’d find disagreement between those people and the political figures. In others, you might argue influencers or politicians who spread rumors about COVID vaccines or 5G that this idea resonates. For example, I don’t see anarchists paying attention to what a politician says because they’re a part of the problem to begin with.
What can be done to counterbalance this? Is there an oppositional force against this rising tide of anti-tech violence? I’ve been stunned to see the absence of any widespread outrage online at what’s transpired so far. Almost all the commentary has been “good, I’m glad this is happening.”
I’m not surprised you’re saying this about the commentary. I’ve been researching violence for years now, but this is the first time I’ve seen the narratives of extremists reflecting some objective concerns amongst people. It doesn’t mean all those other people are participating in the violence themselves, but concerns about AI are real. People are afraid and scared of these developments they don’t understand. But what they do understand is that it’ll have impacts on their lives, to the extent they’re able to comprehend it.
I think demonizing these concerns driving the violence would be a very foolish thing to do. It’ll confirm narratives of surveillance and control.
Right. I mean, some of these are valid concerns. Water, electricity, job loss, surveillance. All of that. But if demonizing this isn’t the right call, what can be done?
Short term, don’t securitize these concerns but do something to limit the violent manifestations. Most of the solutions will be long term. That’s not what people want. People want solutions with immediate effect.
You can divide the solutions into two groups. The first one is, stakeholders and those who develop technologies have to be responsibilized. Going back to that Altman interview, these kinds of comments are not doing us a favor in trying to solve the violence — not to mention other stakeholders can be even more incendiary. You can also limit the problem in how the technologies are used. If we see AI is used to monitor people at protests and demonstrations, acquire and execute attacks in warfare, it can only get worse from here. These applications of AI don’t do us a favor.
Then on a philosophical level, we all need to change the way we relate to technology. We need to go from a position where we think, “What does this allow me to do?” We need to instead think, “Within those activities, let’s select those that will further our connections with one another and with nature.”
What about eco-modernism? Techno-optimism? Are those ideologies solutions or antidotes? Or are they inadequate to address the sheer degree of pessimism and anxiety driving this violence?
From what I can see, doomerism and pessimism is now so widespread that I don’t think those ideologies can work. A lot of people in younger generations believe we are doomed. They believe climate change is going to ruin our lives. There’s wars, geopolitical conflicts. We’re stuck with dystopian visions of the future. This isn’t confined to anti-tech stuff, so therefore optimism has very limited effects.
What gives you hope?
That’s funny because I’m working on a project that concludes there’s no hope.
I didn’t think that was going to be a hard question.
There’s a growing acknowledgement that people may be too dependent on technology. Hopefully we’ll manage to be less dependent on technology and more conscious of what it’s doing to us. An awareness that AI has tremendous environmental impacts.
With acknowledgement is where you need to start. That’s the little hope I have.
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The administration filed to dismiss an appeal of a December ruling that overturned its offshore wind permitting freeze.
Trump’s Department of Justice is giving up on defending the president’s offshore wind permitting moratorium.
The DOJ filed a motion on Wednesday to dismiss its appeal of a federal court’s December decision vacating the order to halt offshore wind approvals. The plaintiffs in the case — New York and 16 other states, as well as the Alliance for Clean Energy New York, a trade group — did not oppose the motion. The case will not be officially dismissed, however, until the First Circuit Court of Appeals approves the request, which typically happens quickly when both parties support the dismissal.
The case stems from an executive order President Trump issued on the first day of his current term temporarily withdrawing all areas of the outer continental shelf from offshore wind leasing and pausing all federal authorizations for offshore wind projects while the administration conducted a review of leasing and permitting practices.
States took the administration to court last May, arguing that the order was arbitrary and capricious and violated the Administrative Procedures Act. They claimed it harmed their ability to source reliable and affordable energy and threatened billions of dollars in investment in supply chains, workforce development, and wind industry-related infrastructure.
On December 8, Judge Patti B. Saris of the U.S. District Court for the District of Massachusetts ruled in the states’ favor and vacated the offshore wind order. More specifically, the judge vacated the portion of the order directing agencies to pause permits and other authorizations. The withdrawal of areas eligible for new leases remains in effect.
The Trump administration appealed the ruling to the First Circuit in February, but never submitted an opening brief. The initial deadline was May 11, but on May 4, the DOJ requested additional time to file the brief. The judge gave the defendants until June 10. On that date, the defendants filed the motion to dismiss.
This is a developing story and we’ll update it as we learn more about the administration’s actions and their effects.
The data center water issues are real – but they aren’t what you think.
Too often, I hear people say the number one reason they’re against data center development is water use. Heatmap’s data shows water consumption is historically the reason cited most often by activists when opposing projects. This complaint, they often say, is rooted in the fear that this nascent buildout of AI infrastructure will simply draw so much H2O it will leave little liquid left for the rest of us.
I spent weeks trying to understand how real the water use problem is when it comes to data centers, reading research and speaking to some of the world’s leading academics, large tech firms, and environmental advocates to make my best attempt at answering some of the most important questions being asked about data centers.
Before I jump into this thicket, a few caveats. I’m not going to address the host of water pollution concerns many have raised about data centers because that is for a future article. If you want me to dissect how Rep. Alexandria Ocasio-Cortez got a jar of dirty water near a Meta data center, that was poor construction practices – not a data center’s water demand. By that same token, if you're itching for me to find out how much PFAS is in data center water, I’m not delving into that here, though I’ll just say PFAS is everywhere and isn’t a data center-specific issue.
So are there problems with AI data centers’ water use? Yes. Are data centers using too much water for society to handle? It depends on what “too much” means to you. Is the AI data center boom going to usher in a new era of drought across the United States? Probably not, but there’s a few places we should be mindful of.

Researchers told me data center water use is a painfully understudied topic rendered more obscure by a lack of public information about individual H2O consumption at the project level. Those I spoke to were split on how seriously to take the topic.
Some analyses insist the sector’s water use should be regulated and tackled head-on by the sector. I spoke with Yi Ding, an assistant professor at Purdue University, who co-authored a paper laying out a framework for evaluating the water impact of computing weighted specifically for water stress. Ding told me there is currently no set of industry-led best practices for sustainable water-conscious data center operation and her work aims to fill that gap.
When I asked Ding if data centers are actually threatening individual towns’ water supplies, she didn’t hesitate: “Yes, it’s significant.”
Others in this field have the opposite view.
“Water is often brought up as the primary concern when it’s less important,” David Mytton, a sustainable computing researcher at Oxford University, told me. “The more important thing is going to be how you bring more clean energy onto the grid, and nuclear power, so that we can generate sufficient energy to build these centers.”
Large tech companies are starting to spend less time debating the extent of the problem and more bandwidth addressing the PR crisis surrounding data center and AI water use.
Ben Townsend, Google’s head of infrastructure and sustainability, told me he believes that “from a comms and PR perspective” he has “no doubt” it would be easier to build data centers without the debate over water. “Data centers operators are not explaining why they’re using water or how much water they use. There’s a complete lack of transparency or discussion.”
Google has been getting splashy around this topic, a public relations strategy that reminds me of Meta’s recent workforce training investments. Last week, Google announced five fresh “commitments” towards its “climate-conscious approach” to water use, including a pledge to “replenish more water than we consume at our sites” by 2030.
This week, Amazon made a similar declaration and claimed its operations are 75% of the way to accomplishing this goal, which it’s calling “water positive.” Brandon Oyer, director of energy and water at Amazon Web Services, told me he thinks the industry “could’ve done better” and “come out earlier” to address its water use.
“There’s just been a lot of misinformation that has led people to [be] a little bit alarmist. And rightfully so. I would get alarmed if I thought that water was going to be impacted in my community,” Oyer said.
The basics of data center water use
Data centers need water to cool large server racks whizzing away to power AI and most other internet practices, from streaming to online banking. Normally, you don’t want computers to get too hot because then they can crash causing potentially catastrophic harm to the machine.
This water use presents a number of environmental challenges. Often, server farms rely on clean, fresh water, or filtered drinking water, a need largely for functionality reasons. They’re competing for this resource at a time when supply is dwindling amidst the crisis of global warming.
Making matters worse, much of the U.S. has faced drought conditions over the past year, including states that are typically water abundant, like Virginia and Georgia, that are at the center of the data center boom. On Monday, The Guardian reported that more than half of all planned data centers in the U.S. are in “locations that have been in drought conditions throughout the past year,” citing data center site information from federal agencies and the energy data firm Cleanview.
In the top data center destination of Texas, where peak electricity demand could more than quadruple in the near future, analysis from state university researchers released in May found data centers could wind up between 3% to 9% of water demand by 2040. Projects are being developed near cities like Corpus Christi and El Paso that were already fearful their drinking water supplies would dry up before the AI infrastructure boom came to town.
“The impact of building a data center in Arizona versus Wyoming is very different,” said Ding, the Purdue University researcher. “[Companies] will say different things because of their position. The problem is substantial and sometimes it’s not that they don’t want to use water – it means they don’t have water to use.”
The most water intensive version of data center cooling is called “evaporative cooling,” which mixes water evaporation and ventilation air flow to cool rooms in ways industry compares to human sweat. Evaporative cooling uses a lot of water and regular fresh supply because, well, the water goes away once it evaporates.
One Google data center using evaporative cooling in Council Bluffs, Iowa used more than 1 billion gallons of water in 2024, a stat that made the project a poster child for perceived excesses in water use. Somewhat ironically, we know this because Google is one of the few large tech companies to voluntarily disclose direct water consumption from individual data centers on an annual basis.
But cooling tech is becoming much more water efficient. You may have heard of “closed loop cooling” – that’s when a chilling system is supposedly self-contained. These systems as designed typically rely on loops of pipes filled with coolant flowing through them. This means they should not expel much liquid. If the modern trend in data center development skewed towards closed-loop systems, it would theoretically mean very little new water supply drawn on the average day.
“If you’re using a closed loop system, the water goes into the data center and then it doesn’t really require a refill every so often. It’s a one-time thing,” Mytton said. “If you’re using evaporative cooling, the water is continuously evaporating into the atmosphere. That’s when it’s being drawn from water sources.”
Closed-loop systems aren’t perfect because of ordinary issues like leaks. These flaws have meant this innovation has done little to assuage the loudest local concerns about water use. Critics of the sector have pointed to estimates pegging a closed-loop failure rate up to 25%. But Mytton said this criticism against closed-loop cooling systems is a little misguided. “They’re just wrong. They just don’t understand how data centers work.”
Closed loop systems and water-free cooling processes (like simple air vent-based cooling) also have trade-offs, particularly the extra energy and chemicals required to make these loops work to spec. Given data center developers are often choosing gas-fired power, which also requires water and produces greenhouse gas emissions, more power for less water is hardly a comfortable trade-off from an environmental perspective.
“‘Closed-loop cooling’ is a marketing gimmick,” proclaimed anti-data center group Food and Water Watch in an April blog post, calling the practice “greenwashing” and “just clever advertising.”
We do not know right now how much water most data centers are actually using, sans a handful of companies reporting individual facility use like Google. The data center development space – Big Tech, their subsidiaries, start ups, real estate firms – is mostly keeping their individual facility water usage private, and there isn’t really any regulation at any level of government to compel this information to be released in the United States, despite it being the number one destination for data center development. Corporations often consider these figures proprietary and municipal governments often consider this confidential business information, making it likely to be redacted or withheld from public records requests.
For example, in Wisconsin, an environmental group sued the city of Racine when officials refused to give water use projections for Microsoft’s data center campus in the nearby village of Mount Pleasant, about five miles from the shores of Lake Michigan. The projections were ultimately released under court order, showing Microsoft’s data center campus was projected to use up to 234,000 gallons of water on peak days or up to 2.8 million per year; eventually those numbers could almost triple to 702,000 gallons on peak days, or almost 8.5 million gallons a year.
These projections, according to Microsoft, are for a facility where more than 90% of the facility will rely on closed-loop cooling. The rest of the data center campus “will use outside air for cooling, switching to water only on the hottest days.” The company has called this design a “technological milestone” that’ll use “roughly the amount of water a typical restaurant uses annually.”
Microsoft is accurate here: the average eatery uses roughly 250,000-to-300,000 gallons of water a year according to restaurant sustainability advocates, a level of consumption that’s led restaurants to be roughly 15 percent of total water use in commercial facilities in the United States.
Personally I think it is easier and more useful to compare a data center to a farm, especially given how many are fighting to stop these projects to preserve prime farmland. Agriculture doesn’t measure water consumption by the gallon; farms use far too much water for those stats to work here. Instead farms use acre-feet, which is calculated using the volume of water necessary to entirely cover an acre of land with one foot of water. For posterity, one acre-foot is almost 326,000 gallons of water, which is about the maximum daily water consumption of that Microsoft data center in Mount Pleasant, Wisconsin. In 2023, the average amount of water applied to a single acre of farmland for irrigation was 1.5 acre-feet, rendering this figure comparable to a large Microsoft data center. This is still a lot of water and not a 1:1 comparison, since different crops require water at different times. But even if a data center consumed that much water every day for a full year, that’s 365 days. An average large farm is a little more than 1,400 acres and many farms span far more acreage. That’s the sort of relative scale we’re working with. So, for instance, a large family farm in Stafford County, Kansas, might use something like 420 million gallons of water over roughly 1,000 irrigated acres of corn in an average year.
I’m no farming expert – there might be things about farmland irrigation I don’t necessarily understand. But it's hard for me to look at these numbers and not long for some sort of rethinking about how we’re doing water math with data centers, especially given the environmental trade-offs around using less water.
Honestly I don’t think trying to explain this math helps anymore because secrecy may have spoiled the well in Racine, pun intended. In September, a peer-reviewed study by University of Wisconsin researchers found the Mount Pleasant datacenter had become “a microcosm of a macro problem with secrecy.” The paper stated that while closed-loop systems at the Mount Pleasant facility “may significantly reduce water use during some of the year, there is still a question of transparency and why it has been so difficult to obtain clear answers about water use.” Full transparency around water use, as well as the energy required for water-lite cooling practices, would be “essential” for any future research into industry practices “to have credibility,” the study stated.
Asked for comment on the study, a Microsoft spokesperson said via email: “Our datacenter campus in Mount Pleasant leverages the latest and most innovative cooling technology available. In past datacenter designs, water has played a key role in datacenter cooling and humidification, but our new designs aim to eliminate this continuous need for municipal water for cooling. The bottom line is that this data center, and others we build in the future, will not require massive amounts of water.”
When you zoom out further, water use by sector shows that U.S. data centers are not the leading driver of water use and its scarcity to date. Thermal power (fossil energy) and agriculture are by far the largest users of water in the U.S. economy, and it would be challenging for the data center industry to ever catch up. Industry figures collected in 2015 found thermo-electric power used roughly 132.4 billion gallons of water per day. Irrigation was a close second at 118 billion gallons of water daily. By comparison, researchers have noted International Energy Agency estimates that the entire global data center sector consumed a comparable amount of water during all of 2023. These are pre-AI boom numbers, but they tell us a lot about relative scale.
However, once again, researchers, tech companies, and advocates alike all told me they believe this macro picture elides individual communities and transparency issues are rendering these comparisons unhelpful for calming concerns down. The data center conflicts are local matters felt acutely, especially in places where drinking water is either hard to come by or expensive. Your average rural desert town or midwestern farming district cares little about the world; they want to know if their own wells will run dry. As Amazon’s Oyer told me, “The hyperlocal influence you can have on a water supply is why it becomes top of mind for people.”
One way to measure data center water impacts in aggregate may be to quantify the potential infrastructure upgrades necessary to meet the industry’s demand. A new study by researchers at University of California-Riverside and CalTech found that new water infrastructure spending for data centers alone could total as much as $58 billion in only four years time. These upgrades will be necessary in order for municipal water supplies to withstand peak demand on the hottest days of the year, a need akin to grid resilience upgrades. Not to mention our nation’s sewer systems are in desperate need of upgrades.
“If a data center was able to show they weren’t stripping our water resources and convinced a community they have mitigation strategies at the local level, that’s a theoretical path,” said Kathryn Hoffman, executive director of the Minnesota Center for Environmental Advocacy. Her organization has successfully stalled data center projects in the state with lawsuits arguing city and county environmental reviews are failing to account for the full extent of local resource usage, including water.
“Unfortunately, we’re a long way from that,” Hoffman added.
And more of this week’s biggest news around project fights.
1. Matagorda County, Texas – The bipartisan data center backlash is now so powerful that a top Republican Texas state official is doing an event with the Democrat vying to replace him.
2. Albany County, New York – As we await Gov. Kathy Hochul’s decision on whether to enact the nation’s first statewide moratorium on data centers, I wanted to bring up some pretty crucial facts about the situation in the Empire State.
3. Davidson County, Tennessee – Anyone who’s anyone should be talking about Nashville.
4. Lehigh County, Pennsylvania – I’m used to eagles halting wind turbines, but now people are trying to use the birds to stop data centers.
5. Laramie County, Wyoming – We had another anti-wind rally backed by national conservatives, this time in Wyoming.
6. Ellis County, Kansas – Let’s end on a sweet note: a giant solar farm getting its permits.