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On shareholder climate proposals, green steel, and reducing food waste

Current conditions: An ice storm has snarled traffic in parts of Arkansas and Oklahoma • Rescue teams are working in freezing temperatures to rescue victims of a landslide in China • Half of Australia's states are under heat warnings.
Storm Isha battered the United Kingdom and parts of Europe with hurricane-force winds and heavy rain over the weekend. More than 200,000 homes lost power and hundreds of flights were canceled or rerouted. At one point a tornado watch was issued for the whole of Ireland and parts of Scotland. The storm also hit parts of France and the Netherlands, and about 68,000 customers were without power in Amsterdam. Germany is expected to hit a new wind power record just one month after breaking its previous record in December. The U.K. usually expects up to nine named storms in a year; Isha is the region’s ninth named storm in just five months.

ExxonMobil filed a lawsuit against environmental activists who are using a shareholder resolution to push the oil giant to more aggressively cut its planet-warming greenhouse gas emissions. The company accused the shareholders from activist-investor groups Follow This and Arjuna Capital of having an “extreme agenda” and wants their proposal removed from the ballot so it cannot be voted on at the annual investor meeting. The lawsuit is “highly unusual,” explained Kevin Crowley at Bloomberg Green, because large companies typically have to appeal to the Securities and Exchange Commission (SEC) if they want to block individual shareholder motions. A legal judgment in Exxon’s favor “could have a chilling effect on shareholder petitions,” said the Financial Times.
Until recently, companies were allowed to exclude shareholder proposals that demanded climate timelines and targets. The SEC nixed this rule in 2021 and since then the number of environmental social shareholder proposals voted on has increased by 125%.
In case you missed it: Ford is cutting production of its electric pickup truck, the F-150 Lightning, to 1,600 models per week, down from 3,200. The company announced the news late last week, saying it wanted its output to better match market demand. Quartz suggested this was code for “people don’t like electric trucks as much as we thought they did.” And indeed, Ford is ramping up production of its gas-powered Bronco and Raptor vehicles. Kelley Blue Book analysts told the FT that the EV slowdown is real, but followed that up by saying that “the EV market in the U.S. is still growing.” Stellantis CEO Carlos Tavares urged automakers to avoid triggering a “race to the bottom” by reducing prices to boost sales, and singled out Tesla.
All this push-pull is happening at the same time that the Environmental Protection Agency is trying to firm up stringent new emissions rules that would result in nearly 70% of all new vehicles in 2032 being electric. Major automakers say the rules are unreasonable, Reuters reported, while environmentalists, Democratic lawmakers, and – naturally – Tesla want to see them go ahead.
The company promising to build the world’s first large-scale green steel manufacturing plant has raised $5.17 billion in new funding, bringing its total to about $7 billion. H2 Green Steel is building a plant in Sweden that can make steel using hydrogen produced from renewable electricity, eliminating the need for coal and reducing manufacturing emissions by 95%. The company hopes to have the plant up and running by 2025 and produce 5 million metric tons of green steel by 2030. As Canary Media noted, “that’s just a fraction of the nearly 2 billion metric tons of steel produced globally each year,” but still, the factory “would be a milestone for the push to decarbonize steel.” H2 says it has already sold half the initial yearly volumes of steel it will make. The steelmaking industry produces somewhere between 7% and 9% of global human-caused carbon emissions.
Grocery stores are reportedly starting to use artificial intelligence to help reduce food waste. The inefficent chore of finding, pricing, and positioning older products takes up a lot of workers’ time, costs supermarkets revenue, and results in wasted food. And since food waste accounts for between 8% and 10% of greenhouse gas emissions, selling more food before it goes bad is an admirable quest. A Danish company called Too Good To Go has developed AI software that can help stores optimize discounts on food items that are nearing their expiration date to improve sales. International supermarket chain SPAR is already using the tool.
In China, customers who buy luxury EVs sold by BYD brand Yangwang get a special “delivery ceremony” that includes balloons, flowers, and a car key wrapped in a gift box.
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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.