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On the emergency in California, clean energy tax credits, and Exxon Mobil

Current conditions: It is 27 degrees Fahrenheit in Dallas, Texas, and snow is expected • The whole of England is under a cold weather health warning until Sunday • A water boil advisory is in effect for Richmond, Virginia, after a winter storm cut power to the city’s water treatment plant.
At least three wildfires are raging in Los Angeles, fanned by strong Santa Ana winds, warm weather, and exceptionally dry conditions. The largest blaze, the Palisades fire, has consumed some 3,000 acres in the Pacific Palisades area since it ignited yesterday and remains uncontained. More than 30,000 people have been told to evacuate. Two other blazes – the Eaton fire in Altadena and the Hurst fire near San Fernando – have also forced people to flee. Gov. Gavin Newsom declared a state of emergency yesterday. Wind gusts in some areas are near 100 mph. The National Weather Service warned the windstorm is likely to be the most destructive in over a decade.


Southern California usually gets some rain over the colder months, but just 0.29 inches of rain has fallen in L.A. since May of last year. On top of that, the area saw record-breaking heat over the summer, so conditions are exceptionally dry. “Locally record hot summer followed by a near-record dry fall followed by the strongest wind event in 14 years,” said Anthony Edwards, a meteorologist at the San Francisco Chronicle. “Energized power lines strung across a landscape that is home to tens of millions of people. Disaster recipe.” Some firefighters reported hydrants were not supplying water. The NWS issued a warning for extremely critical fire weather for Wednesday. Some 200,000 people are without power. “Hell of a way to start a new year,” Gov. Newsom said.
President-elect Donald Trump held a lengthy press conference at Mar-a-Lago yesterday, repeating some familiar climate and energy falsehoods and trotting out a few new ones. Trump threatened again to reverse President Biden’s newly-announced offshore drilling ban and the non-existent EV “mandate,” and also hinted at trying to ban the construction of new wind turbines. He took the opportunity to lament electric heaters because he said they make you “scratch and itch,” as well as low-flow shower heads because “no water comes out.” There is no time like the present to peruse Heatmap’s extensive fact-check of Trump’s climate and energy claims.
The Biden administration rolled out the pièce de résistance of its Inflation Reduction Act tax credits yesterday, publishing the final rules for its overhaul of the clean energy subsidies at the heart of both the bill and United States alternative energy policy going back decades. The final rules define what sources of energy are eligible for production and investment tax credits (known as 45Y and 48E) by lumping together all zero-emissions energy sources into one big group of winners and then letting developers choose which credit they want to use.
The tax credits cover “wind, solar, hydropower, marine and hydrokinetic, geothermal, nuclear,” according to a Treasury Department release, as well as “certain waste energy recovery property” (heat from buildings), and sets out a process for determining how combustion-dependent sources such as biogas, biomass, and natural gas derived from sources like cow manure could qualify. And unlike the tax credits they replaced, which had fixed time periods they were in effect, the tech neutral credits either begin phasing out in 2032 or when electricity sector greenhouse gas emissions are a quarter of their 2022 level, whichever comes second. “With Trump set to take office again in less than two weeks, these rules will be cast into doubt almost as soon as they’re rolled out,” wrote Heatmap’s Matthew Zeitlin. “So the administration is trying to cast the tax credits as a money-saving proposition for energy consumers — especially households — and a spur for investment across the country.”
Fossil fuel giant Exxon Mobil is suing California Attorney General Rob Bonta and some environmental groups, alleging they participated in a conspiracy to defame the firm and hurt its business. In recent lawsuits against Exxon, Bonta and the groups – including the Sierra Club – have accused the oil company of lying to the public about the recyclability of plastic (which, if you didn’t know, is mostly made from fossil fuels). Exxon now says those accusations were false and defamatory. “This is another attempt from Exxon Mobil to deflect attention from its own unlawful deception,” a spokesperson for the California Department of Justice told Grist. “The attorney general is proud to advance his lawsuit against Exxon Mobil and looks forward to vigorously litigating this case in court.” The Sierra Club called the lawsuit a “shameless attempt at intimidation.”
Car manufacturers in Europe are looking to “pool” their emissions and buy credits from major electric vehicle companies as a workaround to comply with the EU’s new emissions rules, Reuters reported. Companies including Ford, Toyota, Stellantis, and Subaru are looking to pool their emissions, and then buy surplus carbon credits from Tesla; Mercedes is eyeing a similar initiative with Polestar. The EU’s new rules, which came into effect on January 1, mean carmakers have to reduce emissions by 15% compared to 2021, or face steep fines. Many manufacturers called for the rules to be eased or delayed due to sluggish EV demand.
A recent report from the Department of Energy found that about 90% of wind turbine parts and “wind systems” can be recycled.
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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.