You’re out of free articles.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:
A counter-proposal for the country’s energy future.

American electricity consumption is growing for the first time in generations. And though low-carbon technologies such as solar and wind have scaled impressively over the past decade, many observers are concerned that all this new demand will provide “a lifeline for more fossil fuel production,” as Senator Martin Heinrich put it.
In response, a few policy entrepreneurs have proposed novel regulations known as “additionality” requirements to handle new sources of electric load. First suggested for electrolytic hydrogen, additionality standards would require that subsidized hydrogen producers source their electricity directly from newly built low-carbon power plants; in a Heatmap piece from September, Brian Deese and Lisa Hansmann proposed similar requirements for new artificial intelligence. And while AI data centers were their focus, the two argued that additionality “is a model that can be extended to address other sectors facing growing energy demand.”
There is some merit to additionality standards, particularly for commercial customers seeking to reduce their emissions profile. But we should be skeptical of writing these requirements into policy. Strict federal additionality regulations will dampen investment in new industries and electrification, reduce the efficiency of the electrical grid through the balkanization of supply and demand, and could become weapons as rotating government officials impose their views on which sources of demand or supply are eligible for the standards. The grid and the nation need a regulatory framework for energy abundance, not burdensome additionality rules.
After decades of end-use efficiency improvements, offshoring of manufacturing, and shifts toward less material-intensive economies, a confluence of emerging factors are pushing electricity demand back up again. For one, the nation is electrifying personal vehicles, home heating, and may do the same for industrial processes like steel production in the not-too-distant future, sparked by a combination of policy and commercial investment. Hydrogen, which has long been a marginal fuel, is attracting substantial interest. And technological innovation is leading to whole new sources of electric load — compute-hungry artificial intelligence being the most immediate example, but also large-scale critical minerals refining, indoor agriculture like alternative protein cultivation and aquaculture, and so on.
In recent years, clean energy has seemed to be on an unstoppable path toward dominating the power sector. Coal-fired generation has been in terminal decline in the United States as natural gas power plants and solar and wind farms have become more competitive. Flexible gas generation, likewise, is increasingly crowded out by renewables when the wind is blowing and the sun shining. These trends persisted in the context of stable electricity load. But even as deployment accelerates, low-carbon electricity supply may not be able to keep up with the surprisingly robust growth in demand. The most obvious — though not the exclusive — way for utilities and large corporates to meet that demand is often with new or existing natural gas capacity. Even a few coal plants have delayed retirement, reportedly in response to rising demand and reliability concerns.
Given the durable competitiveness of coal and especially natural gas, some form of additionality requirement might make sense for hydrogen production in particular, since hydrogen is not just a nascent form of electric load but a novel fuel in its own right. Simply installing an electrolyzer at an existing coal or natural gas plant could produce hydrogen that, from a lifecycle perspective, would result in higher carbon emissions, even if it displaces fossil fuels like gas or oil in final consumption. Even so, many experts caution that overly strict additionality standards for hydrogen at this stage are overkill, and may smother the industry in its crib.
Likewise, large corporate entities and electricity customers adopting additionality requirements for their own operations can bolster investment in so-called “clean firm” generation like nuclear, geothermal, and fossil fuels with carbon capture. In just the past month, Google announced plans to back the construction of new small nuclear reactors, and Microsoft announced plans to purchase electricity for new data centers from the shuttered Three Mile Island power plant, the plant made famous by the 1979 meltdown but which only closed down in 2019. Three Mile Island’s $100-per-megawatt-hour price tag would have been unthinkable just a few years ago but is newly attractive.
Notice the problem Microsoft is trying to solve here: a lack of abundant, reliable electricity generation. Outdated technology licensing, onerous environmental permitting processes, and other regulatory barriers are obstructing the deployment of renewables, advanced nuclear energy, new enhanced geothermal technologies, and low-carbon sources. Additionality fixes none of these issues. Of course, Deese and Hansmann propose “a dedicated fast-track approval process” for verifiably additional low-carbon generation supplying new sources of AI load. Yet this should be the central effort, not the after-the-fact add-on. The back and forth over additionality rules for the clean hydrogen tax credit is a case in point. The rules for the tax credit will (likely) be finalized by January, but lawsuits already loom over them. Expanding this contentious additionality requirement to apply to broad use cases will be even more contentious without solving the actual shortage data center companies care about. Conversations about additionality are a distraction and misplace the energies of policymakers and staff.
Substituting one regulatory thicket for another is a recipe for stasis. Instead of adding more red tape, we should be working to cut through it, fast-tracking the energy transition and fostering abundance.
With such broad requirements, what’s to stop future administrations from expanding them to cover electric vehicle charging, electric arc furnace steelmaking, alternative protein production, or any politically disfavored source of new demand? Could a second Trump Administration use additionality to punish political enemies in the tech industry? Could a Harris Administration do the same? What if a future administration maintained additionality standards for new sources of load, but required that the electricity come from fossil fuels instead of low-carbon sources?
Zero-sum regulatory contracts between sources of electricity supply and demand are not simply at risk of becoming a tool for handing out favors on a partisan basis — they already are one. Two pieces of model legislation proposed at the July meeting of the American Legislative Exchange Council, an organization of conservative state legislators that collaborate to write off-the-shelf legislative measures, would require public utility commissions to prioritize dispatchable generation and formally discourage intermittent renewable sources like solar and wind. One of the proposals suggests leaning on state attorneys general to extend the lifespans of coal plants threatened with retirement.
These proposals did not move forward this year, but it is unlikely that the motivating force behind them is exhausted. And whatever one thinks of the relative merits of intermittent versus firm generation, ALEC’s proposals demonstrate just how easily gamed regulations like additionality could be and the risks of relying on administrative discretion instead of universal, pragmatic rules.
This is not how the electric grid is supposed to work. The grid is, if not an according-to-Hoyle public good, a shared public resource, providing essential services to customers large and small. Homeowners don’t have to sign additionality contracts with suppliers when they buy an electric car or replace their gas furnace with an electric heat pump. Everyone understands that such requirements would slow the pace of electrification and investment in new industries. The same holds for corporate customers and novel sources of load.
The real problem facing the AI, hydrogen, nuclear, geothermal, and renewables industries is an inability to build. There are more than enough clean generators queueing to enter the system — 2.6 terawatts at last count, according to the Lawrence Berkeley National Laboratory. The unfortunate reality, however, is that just one in five of these projects will make it through — and those represent just 14% of the capacity waiting to connect. Still, this totals about 360 gigawatts of new energy generation over the next few years, much more than the predicted demand from AI data centers. Obstacles to technology licensing, permitting, interconnection, and transmission are the key bottlenecks here.
Would foregoing additionality requirements and loosening regulatory strictures on technology licensing and permitting increase the commercial viability of new or existing fossil fuel capacity, as Deese and Hansmann warn? Perhaps, on some margin. But for the foreseeable future, the energy projects and infrastructure most burdened by regulatory requirements will be low-carbon ones. Batteries, solar, and wind projects make up more than 80% of the queue added in 2023. Meanwhile, oil and gas benefit from categorical exclusions under the National Environmental Policy Act, while low-carbon technologies are subject to stricter standards (although three permitting bills recently passed the House, including one that waives these requirements for new geothermal projects).
Consider that 40% of projects supported by the Inflation Reduction Act are caught up in delays. That is $84 billion of economic activity just waiting for the paperwork to be figured out, according to the Financial Times. Additionality requirements are additional boxes to check that almost necessarily imply additional delays. Permitting reform makes them redundant and unnecessary for a cleaner future.
This underscores perhaps the most essential conflict between strict additionality requirements and clean energy abundance. Ensuring that every new policy and every new source of demand allows for absolutely zero additional fossil fuel consumption or emissions will prove counterproductive to global decarbonization in the long run. Natural gas is still reducing emissions on the margin in the United States. Over the past decade, in years with higher natural gas prices, coal generation has ticked up, indicating that the so-called “natural gas bridge” has not yet reached its terminus. Even aggressive decarbonization scenarios now expect a substantial role for natural gas over the coming decades. And in the long term, natural gas plants may prove wholly compatible with abundant, low-carbon electricity systems if next-generation carbon capture technologies prove scalable.
The United States is the world’s energy technology R&D and demonstration laboratory. If policies to prune marginal fossil fuel consumption here stall domestic investment and scaling of low-carbon technologies — as current permitting regulations already do, and proposed additionality requirements would do — then we will not only slow U.S. decarbonization, but also inhibit our ability to export affordable and scalable low-carbon technologies abroad.
Environmental progress’s surest path is in speeding up. For that to happen, we need processes that allow for rapid deployment of clean energy solutions. Expediting technology licensing, fast-tracking federal infrastructure permitting, and finding opportunities for quicker and more rational interconnections should be first and foremost.
The real solution lies in building a regulatory environment where energy abundance can flourish. Clearing the path for clean energy development, we can achieve a future where energy is affordable, reliable, and abundant—a future where the United States leads in both decarbonization and economic growth. It’s time to stop adding barriers and start speeding up progress.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
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.