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Climate advocates have never met a solution they couldn’t argue about.

The end of 2024 marks the end of four of the busiest years the climate and clean energy community has seen to date. I think it's safe to say the energy transition is in full swing (despite certain opinions to the contrary), even if it's not yet on a glide path to a future that would avoid devastating climate impacts.
But with progress comes a new kind of conflict: infighting. Which climate solutions are the best climate solutions? How can we implement them the right way? When should other priorities, like affordability and national security, come first, if they should at all? Are those trade-offs even real? Or are they fossil fuel propaganda?
In a fantastic piece for Heatmap last year, researcher Joshua Lappen drew attention to this increasingly combative undercurrent in the climate coalition, inflamed by the debate over whether a compromise on permitting reform would be better for the climate in the long run than no reform at all. That fight — along with the related question of whether conservationists are slowing climate action — continued into 2024. But it wasn’t the only thing climate advocates fought about. Here are four debates that dominated the discourse this year that I think will continue into 2025.
Biden ignited a firestorm of controversy in January when he paused approvals of new liquefied natural gas export terminals until the Department of Energy could re-evaluate LNG’s potential economic and environmental impacts. The move followed protests from environmental groups that had named these facilities their number one climate bogeyman, arguing that new terminals would, as Bill McKibben put it, “install our reliance on fossil fuels for decades to come.”
What followed was much back and forth about whether growing U.S. LNG exports would help or hurt efforts to stop climate change. To be sure, producing and burning natural gas releases planet-warming emissions. But past government and academic studies have found that exporting U.S. natural gas could result in lower global emissions overall by helping other countries replace dirtier fuels such as coal or natural gas from Russia, where the industry has much higher methane emissions. Environmentalists pushed back on that narrative, citing a study by Robert Howarth, a Cornell scientist, which found that producing and transporting LNG could be worse for the climate than coal. Critics then pounced on Howarth's study, accusing him of using flawed assumptions about upstream methane emissions, LNG tanker size, and shipping route distances.
Ultimately, calculating the emissions impact of increased LNG exports requires making a lot of assumptions. How can we know, for example, whether creating a cheap supply of natural gas will displace coal or deter adoption of renewables? As Arvind Ravikumar, an expert in energy emissions modeling, told my colleague Matthew Zeitlin, “There’s no right answer. It depends on who buys, what time frame, which country, and how are they using LNG.”
A week before Christmas, the Biden administration finally put out its long-awaited study. It modeled a number of different scenarios, but found that approving additional LNG exports beyond what’s already in the pipeline would likely produce at least a small increase in emissions by 2050 in all of them. The report also found that demand from U.S. allies in Europe and elsewhere would be met by projects that have already been approved, making additional plants “neither sustainable nor advisable,” as Secretary of Energy Jennifer Granholm wrote.
The natural gas industry and its supporters were quick to question the results, and they’re about to have a much more sympathetic ear in the Trump administration. But the report gives activists a considerable weapon to use in future lawsuits if Trump tries to put LNG approvals on the fast track.
I checked my phone after dinner one evening in August to find the members of climate X (formerly known as climate Twitter) suddenly at each other's throats over a provocative essay published in Jacobin titled “Obsessing Over Climate Disinformation Is a Wrong Turn.” Written by the environmental sociologist Holly Buck, the essay argues that too much focus on the oil and gas industry’s disinformation campaigns risks dismissing or overlooking legitimate concerns people have about the energy transition. “Fighting disinformation becomes a cheap hack for the hard work of listening to people and learning from them,” wrote Buck. “We have to put resources into a different sort of public engagement with climate change, one that sees publics as competent and nuanced rather than as susceptible marks for memes.”
The message struck a nerve. While many praised the essay, a number of prominent climate activists and journalists with large online followings attacked it, defending the urgency of combating disinformation and accusing Buck of setting up a false dichotomy between this work and public engagement. Aaron Regunberg, a former Rhode Island state representative and lawyer for the nonprofit Public Citizen, wrote a response in Jacobin charging Buck with “arguing with a straw man” and not understanding how insidious the oil industry’s disinformation strategies are.
Buck tried to clarify her view in a followup piece, asserting that she was not denying that disinformation was a “serious obstacle to climate action,” but rather that the act of “fighting disinformation” won’t solve what she sees as underlying problems working against the energy transition: the absence of an engagement apparatus that helps regular people understand their options, and a media ecosystem that “profits from our hate and division.”
What’s clear moving forward is that with a clean energy opponent entering the White House and a mega-billionaire who, with X, literally owns a chunk of the media ecosystem standing by his side, both disinformation and the framework that supports it will stay in the spotlight.
After remaining basically flat for two decades, U.S. electricity demand is set to grow by an average of 3% per year over the next five years, according to the latest forecast from the energy policy consulting firm Grid Strategies. Domestic manufacturing will drive some of the demand, it predicts, but the majority will come from the buildout of data centers, “supercharged” by the rise of artificial intelligence.
On one hand, many of the companies building data centers have ambitious clean energy goals. Google, Amazon, Microsoft, and others have signed landmark deals with advanced nuclear and geothermal power companies, helping to get first-of-a-kind deployments of these technologies financed. If those projects are successful, they could pave the way for cheaper, cleaner, 24/7 power for the rest of us.
But energy-hungry AI is already causing those tech giants to fall behind on their targets and driving major investments in fossil fuel infrastructure. My colleague Matthew Zeitlin has chronicled how electricity demand growth is making it harder to close natural gas and coal plants . In the states that data centers are flocking to, such as Virginia, North Carolina, and Texas, utilities are revising their integrated resource plans to increase the amount of natural gas generation they expect to deliver. Exxon and Chevron are gearing up to build natural gas generation “behind the meter,” i.e. serving data centers directly, so they can meet demand more quickly than if they had to hook up to the grid. The gas pipeline company Williams is also planning a Southeast expansion to serve data center demand. Energy equipment manufacturer GE Vernova is seeing orders for natural gas turbines skyrocket.
There are layers to this debate. Should policymakers require hyperscalers to bring online new sources of clean energy to power their data centers, or will that prove counterproductive and “dampen investment in new industries” — a trade-off familiar to anyone following the back-and-forth over clean hydrogen? And is it possible that all the fuss about data center demand is overblown? Is there even a business case for AI that supports this buildout?
The incoming Trump administration has promised to “unleash U.S. energy dominance” and “make America the AI capital of the world,” so it’s likely this will continue to be one of the top questions for climate hawks for the foreseeable future.
The debate over the state of electric vehicle sales didn’t start in 2024, but headlines this year continued to sow confusion over whether or not EVs are catching on in the way climate advocates — and carmakers — hoped.
Each of the big three automakers, as well as most of the remaining companies serving North America, revised down their EV production plans this year, citing a waning market. In July, General Motors CEO Mary Barra said the company wasn’t going to hit its goal of producing a million EVs per year in North America by 2025. “We’re seeing a little bit of a slowdown here,” she said on CNBC. “The market just isn’t developing. But we will get there.” Ford cancelled plans to produce an electric three-row SUV, delayed its release of an electric medium-sized pickup truck until 2027, and paused production of the F-150 Lightning, and has decided to shift its near-term focus to selling hybrids.
Among non-U.S. automakers, Stellantis delayed the release of a new EV Ram pickup truck and will put out a hybrid version instead. Volkswagen delayed the North America release of an electric sedan. Several luxury automakers, including Aston Martin and Bentley, delayed the release of their first EVs until 2027. Mercedes-Benz once strived to have EVs make up 50% of its sales in 2025 — now it’s trying to hit that mark in 2030. Tesla sales also slowed significantly in the first half of the year. CEO Elon Musk cancelled plans to build a new low-cost EV.
But while sales numbers may not have met individual automakers’ expectations, overall sales continued to grow. “For every sign of an EV slowdown, another suggests an adolescent industry on the verge of its next growth spurt,” Bloomberg reported mid-way through the year. During the third quarter, GM saw record EV sales. Honda’s debut EV, the Prologue, jumped up the charts to become one of the top-selling offerings on the market. After looking at third quarter numbers, Cox Automotive analysts opined that “a 10% [market] share is well within reach.”
We’ll have to see how Trump’s plans to eliminate consumer subsidies for EVs changes that outlook, but expect there to be plenty more fodder for debate.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.