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The foreign entities of concern rules in the One Big Beautiful Bill would place gigantic new burdens on developers.

Trump campaigned on cutting red tape for energy development. At the start of his second term, he signed an executive order titled, “Unleashing Prosperity Through Deregulation,” promising to kill 10 regulations for each new one he enacted.
The order deems federal regulations an “ever-expanding morass” that “imposes massive costs on the lives of millions of Americans, creates a substantial restraint on our economic growth and ability to build and innovate, and hampers our global competitiveness.” It goes on to say that these regulations “are often difficult for the average person or business to understand,” that they are so complicated that they ultimately increase the cost of compliance, as well as the risks of non-compliance.
Reading this now, the passage echoes the comments I’ve heard from industry groups and tax law experts describing the incredibly complex foreign entities of concern rules that Congress — with the full-throated backing of the Trump administration — is about to impose on clean energy projects and manufacturers. Under the One Big Beautiful Bill Act, wind and solar, as well as utility-scale energy storage, geothermal, nuclear, and all kinds of manufacturing projects will have to abide by restrictions on their Chinese material inputs and contractual or financial ties with Chinese entities in order to qualify for tax credits.
“Foreign entity of concern” is a U.S. government term referring to entities that are “owned by, controlled by, or subject to the jurisdiction or direction of” any of four countries — Russia, Iran, North Korea, and most importantly for clean energy technology, China.
Trump’s tax bill requires companies to meet increasingly strict limits on the amount of material from China they use in their projects and products. A battery factory starting production next year, for example, would have to ensure that 60% of the value of the materials that make up its products have no connection to China. By 2030, the threshold would rise to 85%. The bill lays out similar benchmarks and timelines for clean electricity projects, as well as other kinds of manufacturing.
But how companies should calculate these percentages is not self-evident. The bill also forbids companies from collecting the tax credits if they have business relationships with “specified foreign entities” or “foreign-influenced entities,” terms with complicated definitions that will likely require guidance from the Treasury for companies to be sure they pass the test.
Regulatory uncertainty could stifle development until further guidance is released, but how long that takes will depend on if and when the Trump administration prioritizes getting it done. The One Big Beautiful Bill Act contains a lot of other new tax-related provisions that were central to the Trump campaign, including a tax exemption for tips, which are likely much higher on the department’s to-do list.
Tax credit implementation was a top priority for the Biden administration, and even with much higher staffing levels than the department currently has, it took the Treasury 18 months to publish initial guidance on foreign entities of concern rules for the Inflation Reduction Act’s electric vehicle tax credit. “These things are so unbelievably complicated,” Rachel McCleery, a former senior advisor at the Treasury under Biden, told me.
McCleery questioned whether larger, publicly-owned companies would be able to proceed with major investments in things like battery manufacturing plants until that guidance is out. She gave the example of a company planning to pump out 100,000 batteries per year and claim the per-kilowatt-hour advanced manufacturing tax credit. “That’s going to look like a pretty big number in claims, so you have to be able to confidently and assuredly tell your shareholder, Yep, we’re good, we qualify, and that requires a certification” by a tax counsel, she said. To McCleery, there’s an open question as to whether any tax counsel “would even provide a tax opinion for publicly-traded companies to claim credits of this size without guidance.”
John Cornwell, the director of policy at the Good Energy Collective, which conducts research and advocacy for nuclear power, echoed McCleery’s concerns. “Without very clear guidelines from the Treasury and IRS, until those guidelines are in place, that is going to restrict financing and investment,” Cornwell told me.
Understanding what the law requires will be the first challenge. But following it will involve tracking down supply chain data that may not exist, finding alternative suppliers that may not be able to fill the demand, and establishing extensive documentation of the origins of components sourced through webs of suppliers, sub-suppliers, and materials processors.
The Good Energy Collective put out an issue brief this week describing the myriad hurdles nuclear developers will face in trying to adhere to the tax credit rules. Nuclear plants contain thousands of components, and documenting the origin of everything from “steam generators to smaller items like specialized fasteners, gaskets, and electronic components will introduce substantial and costly administrative burdens,” it says. Additionally the critical minerals used in nuclear projects “often pass through multiple processing stages across different countries before final assembly,” and there are no established industry standards for supply chain documentation.
Beyond the documentation headache, even just finding the materials could be an issue. China dominates the market for specialized nuclear-grade materials manufacturing and precision component fabrication, the report says, and alternative suppliers are likely to charge premiums. Establishing new supply chains will take years, but Trump’s bill will begin enforcing the sourcing rules in 2026. The rules will prove even more difficult for companies trying to build first-of-a-kind advanced nuclear projects, as those rely on more highly specialized supply chains dominated by China.
These challenges may be surmountable, but that will depend, again, on what the Treasury decides, and when. The Department’s guidance could limit the types of components companies have to account for and simplify the documentation process, or it could not. But while companies wait for certainty, they may also be racking up interest. “The longer there are delays, that can have a substantial risk of project success,” Cornwell said.
And companies don’t have forever. Each of the credits comes with a phase-out schedule. Wind manufacturers can only claim the credits until 2028. Other manufacturers have until 2030. Credits for clean power projects will start to phase down in 2034. “Given the fact that a lot of these credits start lapsing in the next few years, there’s a very good chance that, because guidance has not yet come out, you’re actually looking at a much smaller time frame than than what is listed in the bill,” Skip Estes, the government affairs director for Securing America’s Energy Future, or SAFE, told me.
Another issue SAFE has raised is that the way these rules are set up, the foreign sourcing requirements will get more expensive and difficult to comply with as the value of the tax credits goes down. “Our concern is that that’s going to encourage companies to forego the credit altogether and just continue buying from the lowest common denominator, which is typically a Chinese state-owned or -influenced monopoly,” Estes said.
McCleery had another prediction — the regulations will be so burdensome that companies will simply set up shop elsewhere. “I think every industry will certainly be rethinking their future U.S. investments, right? They’ll go overseas, they’ll go to Canada, which dumped a ton of carrots and sticks into industry after we passed the IRA,” she said.
“The irony is that Republicans have historically been the party of deregulation, creating business friendly environments. This is completely opposite, right?”
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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.