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:
In defense of “everything bagel” policymaking.

Writers have likely spilled more ink on the word “abundance” in the past couple months than at any other point in the word’s history.
Beneath the hubbub, fed by Ezra Klein and Derek Thompson’s bestselling new book, lies a pressing question: What would it take to build things faster? Few climate advocates would deny the salience of the question, given the incontrovertible need to fix the sluggish pace of many clean energy projects.
A critical question demands an actionable answer. To date, many takes on various sides of the debate have focused more on high-level narrative than precise policy prescriptions. If we zoom in to look at the actual sources of delay in clean energy projects, what sorts of solutions would we come up with? What would a data-backed agenda for clean energy abundance look like?
The most glaring threat to clean energy deployment is, of course, the Republican Party’s plan to gut the Inflation Reduction Act. But “abundance” proponents posit that Democrats have imposed their own hurdles, in the form of well-intentioned policies that get in the way of government-backed building projects. According to some broad-brush recommendations, Democrats should adopt an abundance agenda focused on rolling back such policies.
But the reality for clean energy is more nuanced. At least as often, expediting clean energy projects will require more, not less, government intervention. So too will the task of ensuring those projects benefit workers and communities.
To craft a grounded agenda for clean energy abundance, we can start by taking stock of successes and gaps in implementing the IRA. The law’s core strategy was to unite climate, jobs, and justice goals. The IRA aims to use incentives to channel a wave of clean energy investments towards good union jobs and communities that have endured decades of divestment.
Klein and Thompson are wary that such “everything bagel” strategies try to do too much. Other “abundance” advocates explicitly support sidelining the IRA’s labor objectives to expedite clean energy buildout.
But here’s the thing about everything bagels: They taste good.
They taste good because they combine ingredients that go well together. The question — whether for bagels or policies — is, are we using congruent ingredients?
The data suggests that clean energy growth, union jobs, and equitable investments — like garlic, onion, and sesame seeds — can indeed pair well together. While we have a long way to go, early indicators show significant post-IRA progress on all three fronts: a nearly 100-gigawatt boom in clean energy installations, an historic high in clean energy union density, and outsized clean investments flowing to fossil fuel communities. If we can design policy to yield such a win-win-win, why would we choose otherwise?
Klein and Thompson are of course right that to realize the potential of the IRA, we must reduce the long lag time in building clean energy projects. That lag time does not stem from incentives for clean energy companies to provide quality jobs, negotiate Community Benefits Agreements, or invest in low-income communities. Such incentives did not deter clean energy companies from applying for IRA funding in droves. Programs that included all such incentives were typically oversubscribed, with companies applying for up to 10 times the amount of available funding.
If labor and equity incentives are not holding up clean energy deployment, what is? And what are the remedies?
Some of the biggest delays point not to an excess of policymaking — the concern of many “abundance” proponents — but an absence. Such gaps call for more market-shaping policies to expedite the clean energy transition.
Take, for example, the years-long queues for clean energy projects to connect to the electrical grid, which developers rank as one of the largest sources of delay. That wait stems from a piecemeal approach to transmission buildout — the result not of overregulation by progressive lawmakers, but rather the opposite: a hands-off mode of governance that has created vast inefficiencies. For years, grid operators have built transmission lines not according to a strategic plan, but in response to the requests of individual projects to connect to the grid. This reactive, haphazard approach requires a laborious battery of studies to determine the incremental transmission upgrades (and the associated costs) needed to connect each project. As a result, project developers face high cost uncertainty and a nearly five-year median wait time to finish the process, contributing to the withdrawal of about three of every four proposed projects.
The solution, according to clean energy developers, buyers, and analysts alike, is to fill the regulatory void that has enabled such a fragmentary system. Transmission experts have called for rules that require grid operators to proactively plan new transmission lines in anticipation of new clean energy generation and then charge a preestablished fee for projects to connect, yielding more strategic grid expansion, greater cost certainty for developers, fewer studies, and reduced wait times to connect to the grid. Last year, the Federal Energy Regulatory Commission took a step in this direction by requiring grid operators to adopt regional transmission planning. Many energy analysts applauded the move and highlighted the need for additional policies to expedite transmission buildout.
Another source of delay that underscores policy gaps is the 137-week lag time to obtain a large power transformer, due to supply chain shortages. The United States imports four of every five large power transformers used on our electric grid. Amid the post-pandemic snarling of global supply chains, such high import dependency has created another bottleneck for building out the new transmission lines that clean energy projects demand. To stimulate domestic transformer production, the National Infrastructure Advisory Council — including representatives from major utilities — has proposed that the federal government establish new transformer manufacturing investments and create a public stockpiling system that stabilizes demand. That is, a clean energy abundance agenda also requires new industrial policies.
While such clean energy delays call for additional policymaking, “abundance” advocates are correct that other delays call for ending problematic policies. Rising local restrictions on clean energy development, for example, pose a major hurdle. However, the map of those restrictions, as tracked in an authoritative Columbia University report, does not support the notion that they stem primarily from Democrats’ penchant for overregulation. Of the 11 states with more than 10 such restrictions, six are red, three are purple, and two are blue — New York and Texas, Virginia and Kansas, Maine and Indiana, etc. To take on such restrictions, we shouldn’t let concern with progressive wish lists eclipse a focused challenge to old-fashioned, transpartisan NIMBYism.
“Abundance” proponents also focus their ire on permitting processes like those required by the National Environmental Policy Act, which the Supreme Court curtailed last week. Permitting needs mending, but with a chisel, not a Musk-esque chainsaw. The Biden administration produced a chisel last year: a NEPA reform to expedite clean energy projects and support environmental justice. In February, the Trump administration tossed out that reform and nearly five decades of NEPA rules without offering a replacement — a chainsaw maneuver that has created more, not less, uncertainty for project developers. When the wreckage of this administration ends, we’ll need to fill the void with targeted permitting policies that streamline clean energy while protecting communities.
Finally, a clean energy abundance agenda should also welcome pro-worker, pro-equity incentives like those in the IRA “everything bagel.” Despite claims to the contrary, such policies can help to overcome additional sources of delay and facilitate buildout.
For example, Community Benefits Agreements, which IRA programs encouraged, offer a distinct, pro-building advantage: a way to avoid the community opposition that has become a top-tier reason for delays and cancellations of wind and solar projects. CBAs give community and labor groups a tool to secure locally-defined economic, health, and environmental benefits from clean energy projects. For clean energy firms, they offer an opportunity to obtain explicit project support from community organizations. Three out of four wind and solar developers agree that increased community engagement reduces project cancellations, and more than 80% see it as at least somewhat “feasible” to offer benefits via CBAs. Indeed, developers and communities are increasingly using CBAs, from a wind farm off the coast of Rhode Island to a solar park in California’s central valley, to deliver tangible benefits and completed projects — the ingredients of abundance.
A similar win-win can come from incentives for clean energy companies to pay construction workers decent wages, which the IRA included. Most peer-reviewed studies find that the impact of such standards on infrastructure construction costs is approximately zero. By contrast, wage standards can help to address a key constraint on clean energy buildout: companies’ struggle to recruit a skilled and stable workforce in a tight labor market. More than 80% of solar firms, for example, report difficulties in finding qualified workers. Wage standards offer a proven solution, helping companies attract and retain the workforce needed for on-time project completion.
In addition to labor standards and support for CBAs, a clean energy abundance agenda also should expand on the IRA’s incentives to invest in low-income communities. Such policies spur clean energy deployment in neighborhoods the market would otherwise deem unprofitable. Indeed, since enactment of the IRA, 75% of announced clean energy investments have been in low-income counties. That buildout is a deliberate outcome of the “everything bagel” approach. If we want clean energy abundance for all, not just the wealthy, we need to wield — not withdraw — such incentives.
Crafting an agenda for clean energy abundance requires precision, not abstraction. We need to add industrial policies that offer a foundation for clean energy growth. We need to end parochial policies that deter buildout on behalf of private interests. And we need to build on labor and equity policies that enable workers and communities to reap material rewards from clean energy expansion. Differentiating between those needs will be essential for Democrats to build a clean energy plan that actually delivers abundance.
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.