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On the shifting energy mix, tariff impacts, and carbon capture

Current conditions: Europe just experienced its warmest March since record-keeping began 47 years ago • It’s 105 degrees Fahrenheit in India’s capital Delhi where heat warnings are in effect • The risk of severe flooding remains high across much of the Mississippi and Ohio Valleys.
The severe weather outbreak that has brought tornadoes, extreme rainfall, hail, and flash flooding to states across the central U.S. over the past week has already caused between $80 billion and $90 billion in damages and economic losses, according to a preliminary estimate from AccuWeather. The true toll is likely to be costlier because some areas have yet to report their damages, and the flooding is ongoing. “A rare atmospheric river continually resupplying a firehose of deep tropical moisture into the central U.S., combined with a series of storms traversing the same area in rapid succession, created a ‘perfect storm’ for catastrophic flooding and devastating tornadoes,” said AccuWeather’s chief meteorologist Jonathan Porter. The estimate takes into account damages to buildings and infrastructure, as well as secondary effects like supply chain and shipping disruptions, extended power outages, and travel delays. So far 23 people are known to have died in the storms. “This is the third preliminary estimate for total damage and economic loss that AccuWeather experts have issued so far this year,” the outlet noted in a release, “outpacing the frequency of major, costly weather disasters since AccuWeather began issuing estimates in 2017.”

Low-emission energy sources accounted for 41% of global electricity generation in 2024, up from 39.4% in 2023, according to energy think tank Ember’s annual Global Electricity Review. That includes renewables as well as nuclear. If nuclear is left out of the equation, renewables alone made up 32% of power generation last year. Overall, renewables added a record 858 terawatt hours, nearly 50% more than the previous record set in 2022. Hydro was the largest source of low-carbon power, followed by nuclear. But wind and solar combined overtook hydro last year, while nuclear’s share of the energy mix reached a 45-year low. More solar capacity was installed in 2024 than in any other single year.

The report notes that demand for electricity rose thanks to heat waves and air conditioning use. This resulted in a slight, 1.4% annual increase in fossil-fuel power generation and pushed power-sector emissions to a new all-time high of 14.5 billion metric tons. “Clean electricity generation met 96% of the demand growth not caused by hotter temperatures,” the report said.
President Trump’s new tariffs will have a “limited” effect on the amount of solar components the U.S. imports from Asia because the U.S. already imposes tariffs on these products, according to a report from research firm BMI. That said, the U.S. still relies heavily on imported solar cells, and the new fees are likely to raise costs for domestic manufacturers and developers, which will ultimately be passed on to buyers and could slow solar growth. “Since the U.S.’s manufacturing capacity is insufficient to meet demand for solar, wind, and grid components, we do expect that costs will increase for developers due to the tariffs which will now be imposed upon these components,” BMI wrote.
In other tariff news, the British government is adjusting its 2030 target of ending the sale of new internal combustion engine cars to ease some of the pain from President Trump’s new 25% auto tariffs. Under the U.K.’s new EV mandate, carmakers will be able to sell new hybrids through 2035 (whereas the previous version of the rules banned them by 2030), and gas and diesel vans can also be sold through 2035. The changes also carve out exemptions for luxury supercar brands like McLaren and Aston Martin, which will be allowed to keep selling new ICE vehicles beyond 2030 because, the government says, they produce so few. The goal is to “help ease the transition and give industry more time to prepare.” British Transport Secretary Heidi Alexander insisted the changes have been “carefully calibrated” and their impact on carbon emissions is “negligible.” As The New York Times noted, the U.S. is the largest single-country export market for British cars.
The Environmental Protection Agency has approved Occidental Petroleum’s application to capture and sequester carbon dioxide at its direct air capture facility in Texas, and issued permits that will allow the company to drill and inject the gas more than one mile underground. The Stratos DAC plant is being developed by Occidental subsidiary 1PointFive. As Heatmap’s Katie Brigham has reported, Stratos is designed to remove up to 500,000 metric tons of CO2 annually and set to come online later this year. Its success (or failure) could shape the future of DAC investment at a time when the Trump administration is hollowing out the Department of Energy’s nascent Carbon Dioxide Removal team and casting doubt over the future of the DOE’s $3.5 billion Regional Direct Air Capture Hubs program. While Stratos is not a part of the hubs program, it will use the same technology as Occidental’s South Texas DAC hub.
The Bezos Earth Fund and the Global Methane Hub are launching a $27 million effort to fund research into selectively breeding cattle that emit less methane.
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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.