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Talking to Google Geo’s vice president of sustainability, Yael Maguire.

While browsing Google Flights for an escape from the winter doldrums, I recently encountered a notification I hadn’t seen before. One particular return flight from Phoenix to New York was highlighted in light green as avoiding “as much CO2 as 1,400 trees absorb a day.”
I’d seen Google Flights’ emissions estimates before, of course — they’ve been around since 2021 — but this was the first time I’d seen it translate a number like “265 kg CO2e” into something I could actually understand. Suddenly, not picking the flight felt like it would have made me, well, kind of bad.
Yael Maguire, the vice president and general manager of the sustainability team at Google Geo — which includes Maps, Earth, and Project Sunroof, the company’s solar calculator — stressed that Google isn’t trying to take people’s agency away with these kinds of light-green guilt trips. “We want to make the sustainable choice the easy choice,” he told me, in reference to a slew of new tools the company has been rolling out, from fuel-efficient routing in Maps (which Google estimates has eliminated the emissions equivalent of 500,000 internal combustion cars from the road since 2021), to suggesting train routes to flight-shoppers, to nudging Europeans to ditch their cars when public transportation could get them to their destinations in a comparable amount of time.
Last week, I spoke to Maguire about the sustainability projects at Google Geo, including the team’s Solar API, which provides solar-planning data for millions of buildings worldwide. Our conversation has been lightly condensed for clarity and brevity.
Do you see your job at Google Geo as passively presenting sustainability information to users, or do you see it as actively nudging people toward making better choices for the planet?
We’re not trying to take agency away from anybody. We want to make sure — whether you’re a consumer choosing an eco-friendly route, or you’re a developer who’s thinking about trying to build more sustainably, or you’re a solar developer who wants to help with that — we want the choices to be in their hands. But we want to make it the easiest choice possible because, while it’s ultimately their decision, it will lead to carbon reductions over time.
That’s the idea behind fuel efficiency suggestions in Google Maps, where a route is prominently displayed with the little leaf, right?
Exactly. We launched a capability in Google Earth last year to help real estate developers do high-level planning and building development to make the sustainable choice the easy choice. As they’re saying, “We’re trying to get this many units with these kinds of amenities, etc., etc.,” we give them the tools to optimize for all the things they want to optimize for. But we can also say, “Hey, if you also care about sustainability, you can use different materials, we can get more sunlight in the area, and you have this much potential for solar.” And that just comes bundled with the tool itself.
We always try to find the co-benefits. I know for me personally, I always try to make the sustainable choice as much as I can. But I know that other people may not be as motivated by that, and having those co-benefits — like, it saves money, or it saves time, or it saves fuel, whatever it might be. We want to try to bring those together as much as possible.
When I was in Tbilisi, Georgia, a few months ago, I was using the ride-share app Bolt, and at the time it had a feature where if you tried to book a car to a location less than a 15-minute walk away, it would suggest you walk instead. I saw in a video from Google’s sustainability summit last fall that you’re rolling out something similar in some locations in Europe — France was one. Do you find these sorts of rollouts in the U.S. are stymied at all by how un-walkable most American cities are?
We are trying to make the most of cities as they are. They’re hard to change. But one of the things I find really encouraging is there’s definitely a long timeframe for this. Mayors and the folks in their departments of transportation recognize that they have to make more options available for people to commute and move around. They’re not necessarily going to be able to change things overnight. But there are major changes that are happening — for example, in the city of London, we were able to announce hundreds of miles of new bike lanes. So a lot of changes are happening over a relatively short amount of time, too.
Sometimes it’s hard to know what is going to be the impact of those decisions, though. And so, again, with these tools, city planners have the opportunity to scenario plan and say, “Okay, we’re thinking of trying to put bike lanes in this corridor in the city, what is going to be the impact on carbon?”
I wanted to ask a similar question in the context of a new feature that suggests train routes to Europeans looking for short-haul flights. How is Google thinking about promoting low-emissions transportation options like trains to Americans, eventually, when our infrastructure often isn’t there yet? Is this a challenge you talk about internally?
It is definitely something that is top of mind. But I do think even in the U.S., there are times when taking a train is actually faster. There are actually a lot of instances where walking, cycling, and public transportation are the most effective ways to get somewhere — and that’s not even considering the cost side of it, which is also something people might want to consider. I’m actually fairly optimistic — when I worked in San Francisco, I took public transportation, and I tried to walk as much as I can in all the cities that I’ve lived in, so I feel like I have lived experience in what the reality [in the U.S.] is. And some of these alternative options can be very effective. There’s more work to do, though, to make sure that we’re doing this globally.
Arguably, Google Maps could have a significant role to play in the success of the larger EV transition in terms of making charging stations and trip planning easy and handy for drivers. I’ve been working on planning my first EV road trip this summer and have been pretty intimidated, to be honest. Can you tell me what is in Google’s pipeline to help make this process easier for drivers?
I can’t talk about things that haven’t been announced yet, but I will say that, just as an overarching goal, we want to make that as easy as possible. I’m an EV owner, I have been for a number of years, and I know sometimes it can be a cognitive task to think about, “How am I going to charge and what is that experience going to be like?” So I would just say that we are really aware and trying to deeply understand the problem as much as possible, and our goal is to really address it.
Even when someone is thinking about purchasing a car, oftentimes people go to Google Search to look for vehicles, and we can help people understand what the potential is of a particular vehicle they’re considering. What typically concerns people is a long-distance trip. So we’ve made a tool where you can plug in a familiar destination — like for me, I live in San Francisco, it might be going to Tahoe— and for a given car you can see how many charges would you have to do on the way. Being able to make that info a little bit easier for people to see before they even buy the car is a thing that we’ve tried to do.
We’re also trying to make charging experiences as positive as possible. The first thing is, honestly, just getting as many chargers on the map as possible. There are a number of different providers who have charging infrastructure and sometimes all the data isn’t widely available so we’ve tried really, really hard to work with those partners. We have information on, I believe, 360,000 chargers worldwide and we’re constantly trying to grow that. On top of that — and I hope you don’t experience this — but not all the chargers work. You’ve probably seen on Google Maps, there are reviews, right? So there’s all kinds of work happening there.
My EV doesn’t have Google Maps integrated, unfortunately, but I’m really looking forward to one day having this feature where I can search for a charger along the route. We’d like to get to that point where you don’t actually have to do all this planning in advance and you can just get in your car and plan along the way like you would if it was another type of vehicle.
It’s one thing to have a tool like the Google Tree Canopy available for cities and organizers, and it’s another thing for people to actually use that tool and act on the information. How are you measuring your success?
We measure our success ultimately by what people do with our tools. So it’s not just about putting the tool out there. We actually try to understand what people are doing. In the case of what we did with eco-friendly routing, we worked with the National Renewable Energy Laboratory in the U.S., for example, to help validate our carbon emissions model. We’re going through that process for everything we do, whether it’s Project Sunroof or the Solar API, or other things like that.
You preempted my next question, but maybe you can talk about it in a more macro sense — Google has the goal of “collectively reducing 1 gigaton of carbon equivalent emissions annually by 2030” with tools like Solar API. Can you give me any sort of progress update?
This is a project that’s been going on for some time. We’ve been working with solar developers for a while, but we’ve been pleasantly surprised not only by the solar developer community engagement, but there’s actually other industries that have shown interest. So MyHEAT — they’re not a typical solar installer, but they’re finding this data really useful to go to cities and help them with the plans that they have.
So the gigaton goal itself, there is nothing to share now other than the progress on eco-friendly routing, but it is something that we hope we’ll be able to share progress on over time. But so far, we’re quite happy.
At a time when there’s a lot of nervousness around AI — and often for good reason — you’ve been pretty vocal in your excitement about how such tools can be used for the positive purposes of sustainability. Tell me why you’re an optimist.
Here’s why I’m an optimist: Because it’s where I put all of Google’s public goals in context. We talked about the gigaton goal, we talked about the Solar API — but I think this is also a question about energy usage and carbon intensity. We will continue to invest in the infrastructure that we need — and we need that infrastructure to be able to actually help solve some of these problems, by providing information to people — but at the same time, the company has been really focused on trying to minimize the carbon intensity of the energy we produce. So, since 2017, we’ve been operating off of 100% renewable energy; this is on an annualized basis. We also have an initiative to use carbon-free energy — so the source of the energy that ultimately goes where electrons are going to our data centers, we’re actively measuring what percentage of that is carbon-free on a 24/7 basis.
With our net-zero commitments, to be on a net basis by 2030, that includes all of our AI infrastructure. That’s where I would try to separate the energy use that’s required to operate AI from the carbon intensity, which I think is very different. Our data centers, we estimate, are one-and-a-half times more efficient than your average data center. And with AI workloads themselves, in some instances, we’ve been able to get the energy usage down by 100x, and the corresponding amount of carbon intensity down by 1,000x.
But to your point, at the same time, it is very much on our minds that the carbon intensity to run all of these AI workloads — how does that compare to the benefits that they’re able to provide? I think that’s where I am. I do have a lot of optimism about the efficiency work, about the trajectory of carbon-free energy and net zero. The upsides in terms of what it does for solar, what it does for transportation — yeah, I am a big believer.
The big reason why I’m so excited about this opportunity in the Maps and Geo space is I just think there’s so much opportunity for all kinds of organizations, including individual citizens, to make these choices and changes to their environment. And I think the role that AI has is enormous — obviously not the whole thing, because it doesn’t build cycling lanes. People have to go do that. People have to change policies around how buildings are going to have less carbon intensity when they’re built. There’s tons and tons of other work that is required to actually build the future that we want, that is lower carbon intensity — ideally zero. But I do think that AI plays an enormous role as decision support for all those choices that are needed in the future.
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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.