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HKS Architects’ new project is a campground designed with both sustainability and accessible luxury in mind.

The architecture firm HKS is known for its innovative, climate-informed approach to large-scale architectural projects, from an award-winning stadium in California to a yacht club in Saudi Arabia to a bioscience lab in Singapore. The practice is also committed to research, landing on Fast Company’s 200 most innovative companies for designing air filtration systems in a luxury condo building in Dallas.
The group’s latest project, AutoCamp Joshua Tree, is just outside its namesake national park in southern California, about one hour from Palm Springs and two hours from Los Angeles. The glamping hotspot embodies HKS’s philosophy by keeping guests cool — literally and figuratively — using design strategies to manage the desert heat.
I spoke to Michael Strohmer, who leads the firm’s hotel practice, about how they tried to maximize shade and minimize environmental impact. Our conversation has been edited for length and clarity.
What is the general architectural approach for HKS?
HKS’s approach to hospitality is to start by understanding the place — where the site is located. Is it urban? A resort? The point is for the design to be integrated into the environment. Not only is it important for the nearby community, it’s important for the guests visiting. Travelers are looking for something authentic that tells the story of the place. Our job is to convey that through the design. Integration with the natural environment is key to what we do.
I’m curious how you applied this approach to AutoCamp in Joshua Tree?
The AutoCamp at Joshua Tree was unique for us. We have designed several five star resorts — Four Seasons, Ritz Carlton, Rosewood to name a few — but Joshua Tree was our first autocamp. (We have since done another in Zion State Park.) They were going for approachable luxury versus ultra luxury — they wanted to provide a higher-end experience and amenities at a lower price point, still with good service. The point was to build a place for guests to experience a natural environment with a high level of quality. It’s definitely a trend we’re seeing quite a bit, this desire to reconnect with nature.

Your Habitable score shows extremely high for drought, heat, fire, and even flooding! Were you aware of that when you built here?
We were definitely aware of the issues of building in a desert environment. The high desert freezes in wintertime, and while we are aware of the climate and were considering that from our design approach, I didn’t know about the flood risk. I guess flash floods can be an issue for Palm Springs. Still, the AutoCamp location is at a higher elevation. It’s not far way but a bit of a different climate.
What decisions did you make to build AutoCamp for this desert environment?
When it came to building orientation, that was a big factor we looked at. The main clubhouse building was the one fixed piece of architecture at AutoCamp — the guest rooms are a collection of Airstream trailers that can be moved. We oriented the clubhouse to minimize the solar impact and allow for natural light to come in, for the breeze winds to come through and cool off the interior during the summer months.
The number one thing during summer months in the desert is to provide shade to escape to, so we built it so the sun doesn’t hit the glass directly so that it doesn’t absorb into the interior space. The glass is protected with horizontal elements — trellis slats or louvers — to let light come through but not the [direct] sun.
We also worked with a landscape designer that is familiar with the desert environment, so we planted a lot of native species also to save on water. The biggest goal is to minimize the site impact. Bringing in prefab trailers really helped. Non-conventional construction meant we didn’t have to wipe out land to rebuild. We were trying to have a light touch.
How did you adapt the design for different desert seasons?
By providing large operable expanses of glass that allow the clubhouse to open up during more temperate months. We built in the ability to bring in natural air and breezes [instead of] always having to use the AC.

What are your three top takeaways for people living in a desert environment?
1. Mobility is a great option. I love the idea of a moveable trailer to take to different environments. The light touch minimizes disruption to the site.
2. Providing shade not just for people but for the buildings is key. Come up with creative ways to minimize solar impact. Landscaping goes a long way.
3. The main AutoCamp building is in a barrel arched shape based on a Quonset huts, industrial buildings used by the military that can be erected quickly in a time of need. They require minimal construction and the panels are preformed with structural integrity. It’s a playful spin off of something meant for industrial use and ties into the whole approachable luxury concept. It doesn’t feel so precious.
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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.