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Defenders of the Inflation Reduction Act have hit on what they hope will be a persuasive argument for why it should stay.

With the fate of the Inflation Reduction Act and its tax credits for building and producing clean energy hanging in the balance, the law’s supporters have increasingly turned to dollars-and-cents arguments in favor of its preservation. Since the election, industry and research groups have put out a handful of reports making the broad argument that in addition to higher greenhouse gas emissions, taking away these tax credits would mean higher electricity bills.
The American Clean Power Association put out a report in December, authored by the consulting firm ICF, arguing that “energy tax credits will drive $1.9 trillion in growth, creating 13.7 million jobs and delivering 4x return on investment.”
The Solar Energy Industries Association followed that up last month with a letter citing an analysis by Aurora Energy Research, which found that undoing the tax credits for wind, solar, and storage would reduce clean energy deployment by 237 gigawatts through 2040 and cost nearly 100,000 jobs, all while raising bills by hundreds of dollars in Texas and New York. (Other groups, including the conservative environmental group ConservAmerica and the Clean Energy Buyers Association have commissioned similar research and come up with similar results.)
And just this week, Energy Innovation, a clean energy research group that had previously published widely cited research arguing that clean energy deployment was not linked to the run-up in retail electricity prices, published a report that found repealing the Inflation Reduction Act would “increase cumulative household energy costs by $32 billion” over the next decade, among other economic impacts.
The tax credits “make clean energy even more economic than it already is, particularly for developers,” explained Energy Innovation senior director Robbie Orvis. “When you add more of those technologies, you bring down the electricity cost significantly,” he said.
Historically, the price of fossil fuels like natural gas and coal have set the wholesale price for electricity. With renewables, however, the operating costs associated with procuring those fuels go away. The fewer of those you have, “the lower the price drops,” Orvis said. Without the tax credits to support the growth and deployment of renewables, the analysis found that annual energy costs per U.S. household would go up some $48 annually by 2030, and $68 by 2035.
These arguments come at a time when retail electricity prices in much of the country have grown substantially. Since December 2019, average retail electricity prices have risen from about $0.13 per kilowatt-hour to almost $0.18, according to the Bureau of Labor Statistics. In Massachusetts and California, rates are over $0.30 a kilowatt-hour, according to the Energy Information Administration. As Energy Innovation researchers have pointed out, states with higher renewable penetration sometimes have higher rates, including California, but often do not, as in South Dakota, where 77% of its electricity comes from renewables.
Retail electricity prices are not solely determined by fuel costs Distribution costs for maintaining the whole electrical system are also a factor. In California, for example, it’s these costs that have driven a spike in rates, as utilities have had to harden their grids against wildfires. Across the whole country, utilities have had to ramp up capital investment in grid equipment as it’s aged, driving up distribution costs, a 2024 Energy Innovation report argued.
A similar analysis by Aurora Energy Research (the one cited by SEIA) that just looked at investment and production tax credits for wind, solar, and batteries found that if they were removed, electricity bills would increase hundreds of dollars per year on average, and by as much as $40 per month in New York and $29 per month in Texas.
One reason the bill impact could be so high, Aurora’s Martin Anderson told me, is that states with aggressive goals for decarbonizing the electricity sector would still have to procure clean energy in a world where its deployment would have gotten more expensive. New York is targeting a target for getting 70% of its electricity from renewable sources by 2030, while Minnesota has a goal for its utilities to sell 55% clean electricity by 2035 and could see its average cost increase by $22 a month. Some of these states may have to resort to purchasing renewable energy certificates to make up the difference as new generation projects in the state become less attractive.
Bills in Texas, on the other hand, would likely go up because wind and solar investment would slow down, meaning that Texans’ large-scale energy consumption would be increasingly met with fossil fuels (Texas has a Renewable Portfolio Standard that it has long since surpassed).
This emphasis from industry and advocacy groups on the dollars and cents of clean energy policy is hardly new — when the House of Representatives passed the (doomed) Waxman-Markey cap and trade bill in 2009, then-Speaker of the House Nancy Pelosi told the House, “Remember these four words for what this legislation means: jobs, jobs, jobs, and jobs.”
More recently, when Democratic Senators Martin Heinrich and Tim Kaine hosted a press conference to press their case for preserving the Inflation Reduction Act, the email that landed in reporters’ inboxes read “Heinrich, Kaine Host Press Conference on Trump’s War on Affordable, American-Made Energy.”
“Trump’s war on the Inflation Reduction Act will kill American jobs, raise costs on families, weaken our economic competitiveness, and erode American global energy dominance,” Heinrich told me in an emailed statement. “Trump should end his destructive crusade on affordable energy and start putting the interests of working people first.”
That the impacts and benefits of the IRA are spread between blue and red states speaks to the political calculation of clean energy proponents, hoping that a bill that subsidized solar panels in Texas, battery factories in Georgia, and battery storage in Southern California could bring about a bipartisan alliance to keep it alive. While Congressional Republicans will be scouring the budget for every last dollar to help fund an extension of the 2017 Tax Cuts and Jobs Act, a group of House Republicans have gone on the record in defense of the IRA’s tax credits.
“There's been so much research on the emissions impact of the IRA over the past few years, but there's been comparatively less research on the economic benefits and the household energy benefits,” Orvis said. “And I think that one thing that's become evident in the last year or so is that household energy costs — inflation, fossil fuel prices — those do seem to be more top of mind for Americans.”
Opinion modeling from Heatmap Pro shows that lower utility bills is the number one perceived benefit of renewables in much of the country. The only counties where it isn’t the number one perceived benefit are known for being extremely wealthy, extremely crunchy, or both: Boulder and Denver in Colorado; Multnomah (a.k.a. Portland) in Oregon; Arlington in Virginia; and Chittenden in Vermont.
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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.