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The transition to clean energy will be expensive today, even if it’ll be cheaper in the long run.

Democrats have embraced a new theory of how to win: run on affordability and cost-of-living concerns while hammering Donald Trump for failing to bring down inflation.
There’s only one problem: their own climate policies.
In state after state, governors and lawmakers are considering pulling back from their climate commitments — or have already reneged on them outright — out of a concern for the high costs that they could soon impose on voters. Democrats have justified the retreat by citing a new regime of sharper inflation, reduced federal support, and a need to deliver cheap energy of all kinds.
“We need to govern in reality,” New York Governor Kathy Hochul, for instance, said in a recent statement defending her approval of new natural gas infrastructure. “We are facing war against clean energy from Washington Republicans.”
Leaders in Pennsylvania, Massachusetts, New Jersey, and California have all sounded similar notes while making or considering changes to their own states’ policies.
“The trend toward a different approach to energy policy that puts costs and pragmatism first is very real,” Josh Freed, the senior vice president for climate and energy programs at Third Way, a center-left think tank, told me.
“Affordability is the entry ticket for any other policy goal that politicians have,” he continued. “It particularly makes sense on climate and clean energy because we’ve all been talking for years about the need to electrify. If electricity is expensive, then electrification is simply not going to happen.”
The challenge is an old one for climate policy. Climate change — fueled by fossil fuel pollution — will ultimately raise costs through heat waves, extreme weather impacts, and a depleted natural world. But voters don’t go to the polls for lower costs in 2075. They want a cheaper cost of living now.
Democrats have more tools in this fight than ever before, with wind, solar, and batteries often much cheaper than other forms of generation. But to fully realize those cost savings — and to decarbonize the grid faster than utilities or power markets would otherwise go — politicians must push for politically or financially costly policies that speed up the transition, sometimes putting long-term climate goals ahead of near-term affordability concerns.
“We’ve been talking about affordability as the entry point and not the end of the story. It’s important to meet consumers and voters and elected officials where they are,” Justin Balik, the vice president for state policy at Evergreen Action, a climate-focused think tank and advocacy group, told me.
“We can make the argument — because the data is on our side — that clean energy is still cheaper and is a big part of lowering costs.”
Part of what’s driving this shift among Democrats on climate policy is economics. The Trump administration’s war on clean energy has made it more difficult to build clean energy than some state-level policies once envisioned. Many emissions reduction targets passed during the late 2010s or early 2020s — like New York’s, which requires the state to reduce emissions 40% from 1990 levels by 2030 and 85% by 2050 — assumed much faster clean electricity buildouts than have happened in practice. The president’s One Big Beautiful Bill Act will end wind and solar tax credits next year, driving up project costs in some cases by 40% more than once projected.
The president’s war on wind power, in particular, has hit particularly hard in Northeastern states, where grid managers once counted on thousands of megawatts of new offshore wind farms to supply power in the afternoon and evenings while meeting the states’ climate goals. The Trump administration has succeeded in cancelling virtually all of the Northeast’s offshore wind projects outside New York.
But economics do not explain all of the shifts. Democrats seem to believe the president’s war on clean energy has created a fresh rhetorical opening for them: They can now cast themselves as champions of cheap energy in all forms. Some have even revived the old Obama-era “all of the above” slogan for this new era.
“We have an energy crisis. Electricity prices for homeowners and businesses have gone up over 20% in New Jersey. The only answer is all of the above,” Representative Frank Pallone, the ranking member of the House energy committee, told Politico in September.
Even politicians who once championed climate change have downplayed it in recent speeches. New York Mayor-elect Zohran Mamdani, who once described himself as a “proud ecosocialist,” barely mentioned climate change during his general election campaign for mayor.
Hochul’s recent moves illustrate the shift. Over the past year, she has delayed implementing New York’s cap-and-invest law, which seeks to reduce statewide carbon emissions 40% by 2030. She also paused the state’s ban on gas stoves and furnaces in new homes and low-rise buildings, which is due to go into effect next year. (A state court has ordered her to implement the cap-and-invest law by February.)
This month, Hochul approved two new natural gas pipelines as part of a rumored deal with the Trump administration to salvage New York’s wind farms. She defended the decision by appealing to — you guessed it — affordability.
“We have adopted an all-of-the-above approach that includes a continued commitment to renewables and nuclear power to ensure grid reliability and affordability,” she said in a statement.
New York’s neighbors have gone down similar paths. In Pennsylvania, Governor Josh Shapiro struck a budget compromise with Republican lawmakers that will remove the state from the Regional Greenhouse Gas Initiative, or RGGI, a compact of Northeastern states to cap carbon pollution from power plants and invest the resulting revenue.
Shapiro blamed Republicans, who he said have “used RGGI as an excuse to stall substantive conversations about energy,” but said he was focused on — yes, again— “cutting costs.”
“I’m going to be aggressive about pushing for policies that create more jobs in the energy sector, bring more clean energy onto the grid, and reduce the cost of energy for Pennsylvanians,” he said before signing the budget deal.
California has also reworked its own climate policy in response to cost-of-living concerns. Earlier this year, it passed an energy package that re-upped its cap-and-trade program while allowing new oil extraction in south-central Kern County. The legislation was partly driven by a fear that local refineries would shutter — and gas prices could soar — without more crude production.
Massachusetts could soon join the pullback. Earlier this month, the state’s House of Representatives fast-tracked a bill that included a provision nullifying a legal mandate to cut carbon emissions in half by 2030, as compared to 1990 levels.
While the bill preserved the state’s longer-term goal to cut emissions by 80% by 2050, it rendered the 2030 mandate “advisory in nature and unenforceable.”
“The number one goal is to save money and adjust to the reality with clean energy,” Representative Mark Cusack, co-chair of the energy and utilities committee and the bill’s sponsor, told the local Commonwealth Beacon. He said the Trump administration’s “assault” on clean energy made the pullback necessary. “We want to get there, but if we’re going to miss our mandates and it’s not the fault of ours, it’s incumbent on us not to get sued and not have the ratepayers be on the hook,” he said.
Cusack’s bill also included measures to transform the state’s Mass Save program — which helps households and businesses to switch to electrified heating and appliances — by dropping the program’s climate mandate and its ban on buying efficient natural gas appliances.
On Monday, lawmakers removed the mandate provision from the bill but preserved its other reforms. While the bill is no longer fast tracked, they could choose to revisit the legislation as soon as next year.
New Jersey may also revisit its own climate commitments. Governor-elect Mikie Sherrill swept to victory this month in part by promising to freeze state utility rates. She could do that in part by lifting or suspending certain “social benefit charges” now placed on state power bills.
In the long term, though, Sherrill will have to pursue other policies to lower rates. Researchers at Evergreen Action and the National Resources Defense Council have argued that changing the state’s electricity policies could lower carbon emissions while saving ratepayers more than $400 a year by 2030.
Balik described the proposal as a “three-legged stool” of immediate rate relief, medium-term clean energy deployment, and long-term utility business model reform. He also mourned that other states have not used revenue from their climate programs to pay for climate programs.
“There’s a danger of looking at cost concerns a little myopically,” he said. “Cap and invest [in New York] was paused for the stated reason that it’s not helpful with cost, but you could use cap-and-invest revenues to pay for things on the rate base now.”
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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.