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Rob does a post-vacation debrief with Jesse and Heatmap deputy editor Jillian Goodman on the One Big Beautiful Bill.

It’s official. On July 4, President Trump signed the Republican reconciliation bill into law, gutting many of the country’s most significant clean energy tax credits. The future of the American solar, wind, battery, and electric vehicle industries looks very different now than it did last year.
On this week’s episode of Shift Key, we survey the damage and look for bright spots. What did the law, in its final version, actually repeal, and what did it leave intact? How much could still change as the Trump administration implements the law? What does this mean for U.S. economic competitiveness? And how are we feeling about the climate fight today?
Jillian Goodman, Heatmap’s deputy editor, joins us to discuss all these questions and more. Shift Key is hosted by Jesse Jenkins, a professor of energy systems engineering at Princeton University, and Robinson Meyer, Heatmap’s executive editor.
Subscribe to “Shift Key” and find this episode on Apple Podcasts, Spotify, Amazon, YouTube, or wherever you get your podcasts.
You can also add the show’s RSS feed to your podcast app to follow us directly.
Here is an excerpt from our conversation:
Robinson Meyer: I want to ask a version of the Upshift / Downshift question of both of you, which is, how are you feeling?
Jillian Goodman: Dizzy. I’m feeling dizzy.
Jesse Jenkins: I would like a break. Yes.
Meyer: You both had your faces up against the coalface of this policy change over the past two weeks. And I’m not someone who thinks how we feel about climate change is always the most salient question. At some point of working on it professionally, I think one just kind of is like, well, this is the thing I work on, and I get up in the morning and I try to make it better, and it doesn’t really matter whether I’m optimistic or pessimistic at the moment because you just keep pushing. That’s how it works.
Jenkins: I think it’s how you survive in this game this long, is adopting an attitude like that to some degree.
Meyer: The U.S. just went through a kind of clattering change to its energy and climate policy and got rid of a number of policies that, although flawed, were pushing the U.S. energy system in the right direction, and were a real vote of confidence and of good faith in the energy transition. Has watching the events of the past two weeks made you feel pessimistic about the energy transition to come? Or are you feeling like, you know, for a world where Trump won, for a world where the U.S. faced the constraints and the political environment that it did in 2023 and 2024 and 2025, we can work with this and there’s gonna be new stuff coming down the pipeline and we’re gonna keep deploying.
Goodman: I will say, kind of similar to you, Rob, doing this work is sort of my way of processing my climate anxiety, or at least putting some kind of wall of professionalism between that climate anxiety and my daily life. Like, this is my contribution, and I think about it as a professional, and I don’t really think about it as a human as often.
I will say, it’s shocking to me how much of a … you know, it is not a 100% policy reversal, but the extent to which the government of the United States was willing to throw out its existing climate policy that took however many years and decades to get to just really kind of floors me. And it’s the kind of thing that we can’t do again, at least not in this way. It’s not that U.S. companies will never again trust a climate-oriented tax credit. I think that’s a bit of an overstatement. But this approach has been tried, and then it’s been undone. And so whatever approach is tried in the future will have to be something new, and it’ll have to be motivated by different arguments, and it will have to have different structures. And that project, I think, is also kind of daunting.
Jenkins: Yeah, so look, this is a terrible piece of policy for the United States, and for the world. And so on the one hand, I’m mad as hell about it, right? I mean, we haven’t even talked about the broader effects beyond climate of this bill. It’s going to kick nearly one in 20 Americans off of their health insurance. It’s going to explode the deficit so that we can mostly give tax cuts to wealthy people and corporations who don’t need it. It’s going to reduce food stamp spending for people who can’t afford to eat so that people who can afford first class flights can have another vacation. Like, this is just bad policy, and it is a bad way to do energy policy, to completely reverse course just because the other guy won the election, rather than to have a more thoughtful rationalization of the tax code for energy investment.
I think it’s particularly scary to think about the implications for our automotive sector, having basically replaced a pretty thoughtful and fairly successful domestic industrial strategy around EVs and batteries with basically nothing except for some subsidies that build a wall around the United States is really concerning.I don’t know that we’re gonna have a globally relevant auto industry in five years …
Mentioned:
The REPEAT Project report on what the OBBBA will mean for the future of American emissions
The Bipartisan Policy Center’s foreign entities of concern explainer
The new White House executive order about renewables tax credits
And here’s more of Heatmap’s coverage from the endgame of OBBBA.
This episode of Shift Key is sponsored by …
The Yale Center for Business and the Environment’s online clean energy programs equip you with tangible skills and powerful networks—and you can continue working while learning. In just five hours a week, propel your career and make a difference.
Music for Shift Key is by Adam Kromelow.
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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.