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The president isn’t trying to cut emissions as fast possible. He’s doing something else.

Here’s the problem with President Joe Biden’s climate policy: From a certain point of view, it makes no sense.
Take his electricity policy. At the top level, Biden has committed to eliminating greenhouse-gas pollution from the power sector by 2035. He wants to accomplish this largely by making clean energy cheaper — that’s the goal of the Inflation Reduction Act, of course — and he has also changed federal rules so it’s slightly easier to build power lines and large-scale renewable projects. He has also added teeth to that goal in the form of new Environmental Protection Agency rules cracking down on coal and natural gas.
Yet at the same time, Biden has seemingly also made it more difficult to decarbonize. Last week, he raised tariffs on cheap solar panels and grid-scale batteries made in China. And he ended the two-year “solar bridge,” a tariff exemption for some Chinese-based solar manufacturers that operated in other countries. That means that as soon as next month, some eye-watering tariffs — possibly as high as 254% — could apply to many U.S. solar imports.
Then there’s Biden’s policy on electric cars. The president wants 50% of all new vehicles sold in the U.S. to be EVs or plug-in hybrids by 2030, and he has overseen billions of dollars of spending aimed at building a national charging network. His climate law discounts the price of many EVs by $7,500 and directly subsidizes virtually every battery and vehicle made in America. Yet he recently put 100% tariffs on EV imports from China, the country that makes some of the world’s cheapest and best electric cars.
This combination is, frankly, a little confusing. And it has confounded critics around the world: It can sometimes seem like the president is cutting the cost of clean energy with one hand while raising it with another. “The Biden effect will be to raise the U.S. domestic price of EVs, solar panels and other green inputs and delay America’s energy transition,” writes Edward Luce of the Financial Times. The Economist, in high dudgeon, lectured Biden for forgetting his David Ricardo.
There is certainly much to criticize about Biden’s climate policy, but reading coverage of it, I’m often struck by how little the commentator seems to understand what the policy is trying to do. There is, as Noah Smith and Matt Yglesias have written, a strong national-security component to the tariffs announced last week. But there’s more to these policies than national security alone. Although the president’s actions can sometimes seem contradictory, there is in fact a logic to what Biden is trying to do on climate change. And without defending the policy, I think it is important to describe it accurately.
Let’s back up. For the past 30 years, climate advocates tried to raise the cost of fossil fuels in America by imposing a carbon price. Taxing carbon pollution is the most elegant and economically efficient way to solve climate change, and — at least in theory — it doesn’t require the kind of fine-tuned economic tampering that the Biden administration is engaged in. Or at least that’s what the economists say — I remain skeptical that a carbon tax alone would have succeeded in decarbonizing the economy without additional policy.
And in any case, the point is moot: Climate advocates never succeeded in passing such a price. Voters were understandably resistant to raising the cost of energy, especially gasoline, and no coalition emerged to persuade politicians that the political costs of a carbon tax would be worth bearing. During many of those years, too, the American economy was so understimulated that passing a revenue-raising tax made little political sense: There was effectively no public constituency for deficit reduction.
By 2020, Democrats had largely given up on this approach. Although many still believe that a carbon tax could be an effective decarbonization tool, they instead adopted a new political economic philosophy. Simplified somewhat, it goes something like:
1. The biggest obstacle to passing American climate policy is the lack of a domestic coalition that supports the deep and continued decarbonization of the domestic economy.
2. Passing climate policy has been so hard historically because a powerful and geographically diverse set of companies, unions, state, and local officials, and political donors — largely but not entirely in the fossil fuel industry — don’t want to see the U.S. move away from oil and natural gas. They’re backed up by status-quo-favoring consumers.
3. The central aim of near-term climate policy, then, should be to create an enduring coalition to support the continued decarbonization of the U.S. economy.
This is the guiding logic of Biden’s climate policy: that American politics must have a powerful, durable, and flexible pro-decarbonization coalition if the U.S. is to succeed in reaching net zero. Achieving this coalition is the underlying aim of the IRA, the EPA rules, and — yes — the recent tariffs.
This is what I wish critics understood about the president’s climate strategy: Biden’s strategy won’t have succeeded if the U.S. makes some headway on emissions but imports all of its decarbonization tech from China. The U.S. actually has to develop its own supply chain and manufacturing base to build the kind of deep economic coalition that can sustain long-term decarbonization. This is why trade restrictions have become so central to the administration’s world view.
I should add that for all that the administration emphasizes “good-paying union jobs” in its messaging around climate policy, jobs alone aren’t necessarily the goal of this strategy. Critics of American industrial policy sometimes point out that, even in China, the labor share of manufacturing is falling; indeed, one of China’s great manufacturing advantages is the extent to which it has automated its assembly lines. But that may not necessarily matter to coalition politics: As the political scientist Nina Kelsey has shown in her research on the Montreal Protocol, companies tend to support environmental policy when doing so will help their large-scale, fixed investments — essentially, their factories — not their labor force.
There are big risks to Biden’s strategy. The next administration — which in this moment looks likely to be helmed by Donald Trump — could repeal the production and installation subsidies for renewables but leave the tariffs in place. That would devastate the finances of domestic solar manufacturers and significantly slow down the decarbonization of America’s grid, and it would mean that Americans who want to import cheap solar panels wouldn’t be able to. That would essentially freeze America’s decarbonization effort while the rest of the world races ahead.
Even if Biden wins, the kind of economic management that he’s trying to do may simply not be possible in the federal system — or, for that matter, with the existing Democratic coalition. There may be too many interest groups to placate or too many obstacles to building. California offers a warning about how well-intentioned liberal policy can prevent enough new infrastructure from getting built.
Still a third risk is that the American solar manufacturing industry meets domestic demand but doesn’t become very competitive, so it doesn’t reduce costs aggressively. A relatively small number of firms actually make solar panels in the United States, and they have to compete for engineering talent with more established industries like software. What has brought down the cost of solar in China isn’t subsidies per se, but an intensely competitive and very large domestic market. It isn’t clear that the American market for solar power will attain such scale or efficiency.
These would, obviously, be lasting setbacks for American decarbonization. But even in critiquing this set of policies, I hope the world notes what a different problem America faces when taking on climate change as compared to the rest of the world. Most countries import more oil than they produce, meaning their fossil-fuel addiction shackles their currencies and economies to a volatile global commodity. They are only too happy to move away from fossil fuels, and especially oil, provided that a cheap and acceptable alternative is available. In the United Kingdom, for instance, cross-partisan support for decarbonization policy has existed since the era of Margaret Thatcher.
In the United States, with our oil-drenched politics, the task is different. Only a sufficiently powerful pro-climate coalition will be able to unseat the fossil fuels enthroned atop our economy. Forging this coalition — even if it slows down decarbonization for a few years — is Biden’s true goal. Whether that’s worth it is another story.
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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.