Karen Hao’s Empire of AI has a headline-ready story: in drought-stricken Chile, Google plans a data center that will use more than a thousand times as much water as a nearby city of 88,000 people. That’s the sort of detail that lodges in a reader’s mind. Unfortunately — or amusingly, depending on your temperament — it appears to be nonsense. When you work the numbers backward, her claim implies that the entire city survives on less than a sip of water per person per day. The more likely explanation is a simple unit error — treating cubic meters as liters — magnified into a three-orders-of-magnitude horror story. The same chapter seems to blur the difference between water merely withdrawn (and then returned) and water actually consumed, and to invite readers to see a large global withdrawal estimate as if it were all drinkable water being siphoned off by data centers.
I don’t think this is just a math problem. It looks like a case study in motivated reasoning. The story is too perfect: AI, already despised in many circles as a job thief and art thief, now shows up as a literal water thief, menacing poor communities in the “global South.” It plugs straight into an existing “climate crisis” narrative: Western tech giants strip-mine the planet, this time not for oil but for electricity and water. Once you want that story to be true, a ridiculous number like “one building uses a thousand cities’ worth of water” stops feeling like a red flag and starts feeling like a God-given symbol. The data becomes raw material for the morality play.
What bothers me more is what this says about our so-called expert class. Hao isn’t some random journalist writing a TED-talk of a book for the NPR crowd; she has an MIT engineering degree and a background in energy studies. The book had a fact-checking team. Multiple prestigious outlets blurbed and recommended it. Yet apparently no one along that entire chain stopped to say, “Wait a second; can any single building on Earth really use more water than a city?” The institutions that keep telling us to “trust the science” can’t be bothered to do high-school-level sanity checks on their own favorite cautionary tales. This is how you burn trust capital. And once you’ve burned it, you don’t get it back by scolding people for being “anti-science.”
Meanwhile, the influencer class is delighted. They thrive in exactly this kind of epistemological vacuum. Every time a credentialed journalist or public-health authority face-plants in public, another YouTuber or Substack crank gets to say, “See? They lied to you again. Here’s what they don’t want you to know…” The tragedy is that the average layman, watching all this, is not crazy or wicked for becoming cautious. When people say, “Let’s wait and see before we reorganize the economy around your latest ‘a study has shown’ crusade,” they’re not rejecting reason; they’re saying “look who’s reasoning.”
I don’t know how long it will take to rebuild institutional trust, or if it’s even possible in the old sense. It may be that for the rest of our lives, trust is going to be granular and provisional: this lab, not “science”; this reporter, not “the media.” In the meantime, we’re stuck navigating an information landscape where both the official gatekeepers and their self-appointed rivals are constantly auditioning for our belief. My main hope is simply that reality doesn’t present us with a genuinely Plague-level threat while we’re still busy not believing one another. Microbes and CO₂ don’t care about our culture war, and they don’t wait for our epistemology to recover.





