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With continued subsidies a big “if” going into next year, deep-pocketed purchasers will have outsized impact.

As Donald Trump prepares to take office (again), the future of the tax policy that underlies clean energy development in the United States has never been more in doubt. Will the clean energy tax credits survive? What about advanced manufacturing? Or will it just be the electric vehicle credits that get tossed aside?
In any case, one thing seems far closer to certain: Big companies, especially large technology companies, will continue to buy renewable and clean power to fulfill their own sustainability goals and keep up their massively expanding data center operations. For them, speed may be the thing that matters most, and reasonable costs and carbon abatement will have to come along with it.
From 2025 to 2028, Morgan Stanley estimates that there will be 57 gigawatts worth of demand from new data centers, with around 6 gigawatts of that currently under construction, and a substantial shortfall in available power to build everything hyperscale technology companies want. This means that there will be a huge need to buy power, no matter the tax credit situation, which would mean continued upward pressure on prices.
Even before the election, power purchase agreement prices for solar power were creeping up due to tariffs on solar equipment, according to LevelTen Energy. Those will likely be maintained and could be ramped up in the new administration.
“Repeal of the tech neutral tax credits and of the manufacturing production tax credits has the potential to increase PPA prices by almost 40%,” Nidhi Thakar, the senior vice president for policy of the Clean Energy Buyers Association, told me, referring to two of the most powerful provisions of the Inflation Reduction Act. She added that repeal would “essentially have an inflationary effect.”
“We have this opportunity right now to capture that economic development if we do things right,” Thakar said. “That is going to require having critical policies in place that are going to support the deployment of more clean firm resources on the grid.”
At least so far, the prospect of repeal has not slowed energy procurement among the biggest buyers. This month, Alphabet announced a $20 billion investment plan with Intersect Power and TPG to build carbon-free power near datacenters with the hope of bringing power and data centers online more quickly. Meta, meanwhile, announced earlier in December that it would build a $10 billion data center campus in Northeast Louisiana, complete with gas and renewable power provided by Entergy, the local utility. The project will come with “at least” 1.5 gigawatts of new renewable power, Entergy said; it also filed an application with the Louisiana utilities regulator for over 2 gigawatts of new gas-fired power plants, including two plants adjacent to the data center site, according to S&P Global Commodities Insights.
While a “double digit” increase in power purchase agreement sale prices could result from tax credits vanishing, there is still “more demand for renewable energy than supply for a whole bunch of reasons,” Peter Freed, the former director of energy strategy at Meta and the founding director of the consultancy Near Horizon Group, told me.
“Obviously the tax credits are pretty central to the pricing on projects,” he said.
Freed was enthusiastic about grid technologies that could enhance capacity, but he also acknowledged “it is very likely we’re going to have a variety of compromises that have to be made over the course of next seven, eight, nine years, in terms of how we’re going to accommodate load that’s coming in the cleanest possible way.”
“That probably means we’re seeing more gas built,” he added.
A significant portion of that gas could be built on-site. Anything involving the grid — whether fossil or renewable — involves large investments of cash and time for hyperscalers and developers. “Given the increasing time required to connect to power grids, especially in the U.S., we believe there could be more upcoming ‘off grid’ approaches to powering data centers,” Morgan Stanley analyst Stephen Byrd wrote in a note to clients. “Batteries and smaller gas-fired turbines could be combined with large combined cycle natural gas turbines to provide a robust power source.”
Elon Musk’s xAI has done this the quick-and-dirty way by installing mobile natural gas generators to power its facility in Memphis. GE Vernova, the turbine manufacturer, is also “having direct conversations with hyperscalers for gas orders,” according to Jefferies analyst Julien Dumoulin-Smith in a note to clients, with the first order from a hyperscaler possibly coming in the second half of next year.
Gas isn’t the only answer, however — at least not on its own. A group of energy researchers from Stripe, Paces, and Scale Microgrids, wrote in a white paper published mid-December saying that solar microgrids could provide a “fast, scalable, clean, and cheap enough” option for data center power.
These “off-grid solar microgrids” could potentially be put into operation in “around two years” and would combine solar panels, batteries, and some natural gas backup. Installed across the Southwest, they would be able to power some 1,200 gigawatts of data center demand with 90% solar power, according to Scale Microgrids’ Duncan Campbell, at costs below repowering Three Mile Island. A 44% solar system would be “essentially the same cost” as off-grid gas turbines, the whitepaper said.
No matter what solution hyperscalers pursue — bringing their own power behind the grid, locating near power on the grid, or building out more clean, firm power on local grids — the question will ultimately always be how fast they can get online.
“I think people are initially thinking about colocating a large load with a project — renewable, gas, or anything else — as a fact track to getting load online, and there’s some truth to that,” Freed told me.
“My perspective as someone who is adding new load is that you should be indifferent to location for generation,” Freed said. “What you really should be caring about is when you can interconnect and turn lights on at the scale you desire.”
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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.