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This is the first story in a Heatmap series on the “green freeze” under Trump.
The renewables industry was struggling even before Donald Trump made his return to the White House. High interest rates, snarled supply chains, and inflation had already dealt staggering blows to offshore wind; California turned hostile to the residential solar market; and even as deployment of utility-scale solar accelerated, profits haven’t necessarily followed. (Those were still reserved for the fossil fuel industry.)
Then Trump came into office, issuing a barrage of executive orders that, at best, didn’t help, and at worst threatened to choke off the industry’s remaining avenues for growth. Now, Republican legislators are eyeing the Inflation Reduction Act for red meat to feed their tax cut machine; Elon Musk — himself the richest green tech entrepreneur of all time — is captaining an effort to slash the size of the federal government, particularly environmental programs; and the federal regulatory apparatus has essentially ground to a halt.
The early days of the Trump presidency have turned a clean energy slump into a kind of green freeze, with projects being cancelled and clean energy investors in many cases fixating on hypothetical policy changes, as opposed to the ins and outs of any given quarter. This creates a kind of trap for green energy companies, which are being punished in the immediate term for bad results while investors sit on the sidelines until the final resolution of the IRA comes into focus.
Speaking about the solar industry specifically, Morningstar analyst Brett Castelli told me that near term viability is not going to be about the specifics of any given company’s financial performance. “It’s going to be about how much the IRA is potentially changed.”
That’s likely the case across the green energy sectors. The iShares Global Clean Energy ETF, which tracks a number of renewables companies, is down 14% since November 5, and down 20% in the past year. “All businesses like certainty,” Castelli said. “The renewables market right now is facing a high degree of uncertainty in regards to what changes are coming to the IRA.”
But not every company has been affected equally. Those that were already flagging have been quick to blame the political environment, while others have gamely tried to explain to investors and the public how their lines of business align with the Trump administration’s priorities.
Executives at the residential solar company Sunnova — whose stock has fallen to below a dollar a share since it issued a “going concern” notice, essentially notifying investors that its existence as a company was under threat — mentioned “policy” or “political” or “politicians” six times in its earnings call last week. Chief Executive John Berger told an analyst that the reason for the going concern notice was that “the overall environment is terrible. I mean, it’s the political environment, the capital markets,” and that the company “struggled to close some things after the election.”
Berger stepped down Monday, and Sunnova’s former chief operating officer Paul Mathews immediately took over. Mathews “will focus on disciplined growth, stronger cash generation, cost efficiency, and enhancing the customer experience,” the company said.
Other companies have told investors and the public that they’re scrapping expansion plans, in many cases due to a policy change or a market change running downhill from policy.
“Manufacturing is probably where we see the biggest concern,” Maheep Mandloi, a stock analyst at Mizuho Securities, told me. “A lot of solar and battery projects are getting pushed out.”
Among them, battery manufacturer KORE Power, said in February that it was canceling a $1 billion battery project in Arizona. The Arizona facility was going to be supported with federal financing, specifically a loan from the Energy Department’s Loan Program Office for up to $850 million, but the conditional commitment never turned into cash in hand before the end of the Biden administration. Its new chief executive, Jay Bellows, told Canary Media that the company wanted to retrofit an existing facility into a battery plant instead.
Aspen Aerogels, which makes thermal barriers for batteries in electric vehicles, told investors in February that it wouldn’t move forward with a planned new plant in Statesboro, Georgia, and would instead “maximize capacity” at its Rhode Island plant. The company’s chief financial officer noted that it had already “decided to right-time” its Statesboro project in early 2023, “pre-empting a reset in EV demand expectations.”
And just last week, Ascend Elements, a battery materials company, said it was scrapping plans to manufacture cathode active material at its Hopkinsville, Kentucky plant, the Times Leader reported Thursday. Ascend said that it had agreed with the Department of Energy to cancel a $164 million grant that would support cathode active material (a key battery component) manufacturing, although a separate, $316 million grant for cathode precursor technology “remains active.”
But optimism still abounds — and it has nothing to do with any hopes about the fate of grants and tax credits under the IRA. Regardless of the law’s fate, the exuberance over artificial intelligence may prove to be an even greater subsidy.
In contrast to Sunnova, Sunrun — another residential solar company whose stock price has flagged since the election, but whose ability to stay in business has not been questioned — put a much more neutral spin on the political environment. Chief Executive Mary Powell told investors during the company’s earnings call in late February, “The fundamental long-term demand drivers for our business are incredibly strong and unrelated to any political party affiliation. Americans want greater energy independence and control of their lives and their pocketbooks. The country also needs more power from all sources to fuel rapid growth in electrification and data centers, and our growing fleet of energy resources will be part of the solution.”
Where once executives focused their rah-rah optimism on the declining costs of renewables, today they’re talking up their products’ quick path to deployment. The speed with which renewables can be built and switched on — especially solar and storage — compares favorably to the four-to-five year development timelines for new gas-fired plants. NextEra chief executive John Ketchum told analysts in a January earnings call “you can build a wind project in 12 months, a storage facility in 15, and a solar project in 18 months.”
That’s either the light at the end of the tunnel or the pot of gold at the end of the rainbow, depending on your level of fatalism or skepticism.
This oncoming demand could reignite the renewables industry even if it potentially loses access to generous IRA subsidies, Ben Hubbard, the chief executive of the infrastructure advisory firm Nexus Holdings, told me.
“The hyperscale datacenter demand is pretty massive, and when you have to really start massively upgrading your transmission and distribution infrastructure, those rates get passed on, unfortunately, to the average ratepayer like me and you and everybody else.” With higher rates, renewables could become profitable and investable on their own, without IRA subsidies, Hubbard said.
NextEra, a major renewables developer that also operates a natural gas fleet, has been one of the main promoters of the “speed to power” narrative. In its January earnings call, Ketchum told analysts, “We’re expecting load demand to increase over 80% over the next five years, six-fold over the next 20 years. And if you think about generation types and needing all of the above, they’re not all created equally in terms of timing.”
Although the Trump administration is seeking to unleash fossil fuel development, power plants don’t build themselves. They need, at the very least, turbines, and those gas turbines are not easy to get your hands on. As Heatmap has reported, manufacturer GE Vernova has only modest plans to increase capacity, and is already getting reservations for turbine slots in 2027 and 2028.
“With gas-fired generation, the country is starting from a standing start,” NextEra CEO Ketchum said on the earnings call. “We need shovels in the ground today because our customers need the power right now.”
Developers and investors hope this means that data center developers and utilities will become both voracious and omnivorous in their power demand.
“I think what you’re going to see is the big tech companies, especially, are going to just have to eat the cost if they want to win the AI race,” Hubbard told me. “They’re going to take natural gas fuel, and they’re going to take biomass power, and they’re going to take solar. They’re going to take it all, because it’s almost insignificant relative to getting ahead of AI demand.”
Most of the industry, however, is gamely working through an environment where their day-to-day business may be fine, but their investors are still in wait-and-see mode.
“The common feedback we hear from a lot of investors is, ‘I’ll just probably come back once the dust settles and I know exactly what things are going to change,” Mandloi told me.
That’s even as executives point to a glorious future of AI-driven electricity demand. But investors may be waiting to count their chips from the IRA before they’re willing to take a flyer on powering data centers that are yet to be built.
And there’s nothing certain about the AI boom, either. More computationally efficient Chinese models have thrown that energy narrative into doubt, driving down the share price of Nvidia, which makes the chips that consume all that data center power (along with the share prices of power companies with large natural gas fleets). That stock is down by almost 20% so far this year. If the chip designer’s AI profits are less than previously thought, the electron providers may have to settle for less, as well. Renewables companies are hoping the data center boom will be a case of “if you build it, they will come,” but investors aren’t yet quite willing to buy it.
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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.