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For a while First Solar looked like a “Liberation Day” winner. Now its first quarter results suggest otherwise.

When Donald Trump unveiled his now-infamous chart of “reciprocal” tariffs, most of the stock market shuddered — but there were a few exceptions, including the American solar manufacturer First Solar. While the market in the days following “Liberation Day” was on a hunt and destroy mission for stocks of renewables companies known to be heavily exposed to Asia or independent power producers, First Solar stayed roughly flat.
It’s not flat anymore. The company reported first quarter earnings on Tuesday that were short of analysts’ expectations and lowered its expected revenue and profit for the rest of the year citing disruptions from tariffs. The stock has fallen more than 9% on Wednesday, and is down a third so far this year.
“While FSLR” — a.k.a. First Solar — “is the US solar manufacturing bellwether, they are not immune to the far-reaching tariff environment,” Andrew Perocco, a Morgan Stanley analyst, wrote in a note to clients. He also estimated that almost half of First Solar’s manufacturing capacity is in Asia.
The company’s sobering results and warnings about how tariffs could affect their business is a sign that the entire green energy business is likely at risk from uncertain trade policy, even the companies thought to be insulated.
First Solar and other companies’ tariff-affected financial results also show that the Inflation Reduction Act has only been partially successful at boosting American production of green energy technology, and that the country’s green industries are still deeply intertwined with Asian and Chinese production.
“We had been expecting negative effects from tariffs for First Solar, but the impact was greater than we expected,” Brett Castelli, an analyst at Morningstar, wrote in a note to clients.
First Solar chief executive Mark Widmar said that the uncertainty about the reciprocal tariffs — set to back into effect in July absent new trade deals — “has created a challenge to quantifying the precise tariff rate that would be applied to our module shipments into and beyond the second half of this year.”
Widmar said the company expects to move its manufacturing facility in India “away from exports to the U.S.,” and instead will have it produce solar panels for the domestic Indian market. Its factories in Malaysia and Vietnam may see reduced production due to “potentially reduced U.S. demand environment for non-domestic product.”
Widmar also called out the ever-evolving policy around Chinese solar imports into the United States. Solar panels from China itself, as well as four Southeast Asian nations face punitive import duties as high as 3,521% after the federal government determined Chinese companies were “dumping” panels on the U.S. market and trying to circumvent tariffs by moving production to neighboring countries. Widmar said there had been a “surge” of cells and modules from Laos and Indonesia.
“We have no doubt that these Chinese manufacturers are also seeking to establish production and other regions around the world, such as Saudi Arabia, forcing us into a continued game of whack-a-mole,” Widmar said.
Several analysts downgraded the company, with Jefferies analyst Julien Dumoulin-Smith writing in a note to clients that there were questions about “about the profitability of its core business.”
That the tariffs have affected First Solar, long held out as a kind of American solar manufacturing national champion, bodes poorly for much of the rest of the renewable industry, which is still often tightly linked to Asian nations and especially China.
There have been some hints that there’s no safe ground from tariffs in the U.S. clean energy industry. The most vertically integrated green technology company in the United States, Tesla, has flagged repeatedly to investors and the public that it’s at risk from tariffs, whether for certain parts of its cars or, especially, for its stationary storage batteries — which, like much of the rest of the storage industry, relies on a Chinese supply chain.
“Given the majority of the [battery electric storage systems] components with some dependency on Chinese supply chain, solar-plus-storage projects in particular may face significantly increased costs,” Widmar said. Morgan Stanley’s Perocco described Widmar’s comments on solar-plus-storage as a “negative read-through for other utility-scale solar and storage exposed stocks,” such as Array Technologies, Shoals Technology Group, and Fluence. Array and Shoals are down 10% and 3% respectively, while Fluence is about flat on the day.
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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.