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Sadly, the new Apple TV+ show is terrible.

In the future, we can speak to whales, and they sound like Meryl Streep.
This is the vision of Scott Z. Burns, a filmmaker frequently renowned for his prescience: He produced An Inconvenient Truth in 2006 and wrote the screenplay for Contagion, the 2011 Stephen Soderberg film that anticipated the COVID-19 pandemic down to “social distancing” and Dr. Sanjay Gupta discussing preventative measures on TV. Burns’ latest project, Extrapolations, aims to do the same narratively as Contagion, but for climate change, following our trajectory to its most terrifying conclusions.
This is a worthy pursuit! There’s no denying that the climate crisis is also a crisis of storytelling, both on a political level — see: the fossil fuel industry’s decades-long attempt to question the science — and on a cultural one. We need better climate stories — ones that go beyond preaching to already-convinced audiences, imagine complex and hopeful futures, dispense with cliches about humanity as a blight, center on characters outside the Global North, and forgo unhelpful platitudes about the future being “up to us!”
But Extrapolations is not that.
What Extrapolations is: An eight-episode anthology that spans from 2037 to 2070 (the first three episodes, “2037,” “2046,” and “2047,” premiere on Friday on Apple TV+ and are the focus of this review). The show stars what feels like every working A-lister, and it clearly cost roughly a gazillion dollars to make. It is also ridiculous (see: Meryl Streep voicing a whale) and terrible (see: Meryl Streep voicing a whale).
After a scene-setting pilot that begins with a “climate change is bad” montage featuring footage of smokestacks, landfills, and hurricanes — visual cliches even in the Obama era — the subsequent episodes of Extrapolations each focus on a different measurement of our destruction: animal extinctions, sea level rise, heat deaths, the financial cost of climate change, and population growth. Tying the stories together is the ubiquitous presence of billionaire tech founder Nick Bilton (no, not that one), the show’s stand-in for techno-optimists like Jeff Bezos and Elon Musk. He’s played by Kit Harington, and he reads stock exchange numbers projected onto his lap pool because that’s what rich people do.
Other recurring characters include a rabbi named Marshall (Daveed Diggs), who works in the third episode to save his Miami synagogue from flooding and has an inexplicable dream sequence that seems to exist just so he can dance and sing, and Rebecca (Sienna Miller), who specializes in conversing with last-of-their-kind animals, like the philosophizing humpback whale that speaks in the voice of her dead mother (Streep). Alas, a ghoulishly evil Matthew Rhys doesn’t make it past the first episode because he gets mauled to death by a walrus. Nature strikes back!
If that all seems, well, cringe, it’s not even the worst of it. This is a show where every dinner conversation revolves around climate change, where bad guys predictively cackle “we’ll be dead!” when discussing how their short-term gains will doom the future of the planet, and where random strangers pop up out of the woodwork to inform you that the blockchain is making the sea levels rise. Rarely do characters seem like anything other than mouthpieces for ideas. In the first episode, set in July 2037, someone mentions the 2018 self-immolation of climate activist David Buckel, only to offer the superficial analysis that “it showed that the world is in pain and needs change.” In another scene, Rhys’ character shouts, with bizarre specificity, about a 2019 speech by then-Secretary of State Mike Pompeo, evidently just to prove the show’s reference to U.S.-Chinese tensions in the Arctic has real-world antecedents.
This kind of overreliance on exposition is a tic of Burns’ that actually worked fine in Contagion — back in 2011, the vocabulary and experience of a pandemic were foreign to most viewers, and things like R0 and herd immunity were fascinating to hear explained. That isn’t the case for the basics of climate change anymore. A majority of Americans have believed in human-caused global warming since at least 2001, and that number has only grown in the 20-plus years since — not to mention, anyone who still need convincing is probably not watching Extrapolations in the first place.
Instead, the show feels at times like a vehicle for celebrity activism, a way to phone in an “important” and “urgent” performance for accolades. That sense is only compounded by the fact that most of Extrapolations’ episodes focus on the global well-off and are set in major cities like London, Miami, and Tel Aviv. Charitably, these locations were picked so the show can be relatable to its likeliest audiences; in actuality, it is out-of-touch, centering more on inconveniences to the world’s wealthy than those who will actually bear the worst of the brunt. The whale episode, set in Colombia, features almost no actual Colombian characters; an Indigenous character in the pilot episode who exists just to comfort Rebecca, played by actress Cara Gee, doesn't even get a name.
There is certainly little enjoyable entertainment value here; the messaging is the entire point. But as the show’s title suggests, Extrapolations lacks the ability to imagine anything other than a circa-2016 fatalist projection of a coming calamity. This results in the narrative propulsion being hand-wringing doom and gloom, even if the truth is that there is actually much promise ahead of us. That doesn’t mean the hard work is done or that there aren’t more minds to change, but it does mean catastrophizing is losing its usefulness as the central force of climate narratives; in the worst cases, it’s actively detrimental. Extrapolations isn’t entirely devoid of optimism (trials for corporate ecocide are also a plot point), but as climate scientist Michael Mann has previously written, while there is always a danger of understating climate change, “there is also a danger in overstating the science in a way that presents the problem as unsolvable, and feeds a sense of doom, inevitability, and hopelessness.”
Alarmism is an easy, familiar story. But there are better ones out there. They’re just still waiting to be told.
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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.