Empire of AI

A New York Times Notable Book • Winner of the National Book Critics Circle Award for Nonfiction • A New York Times Bestseller • Named a Best Book of the Year by Smithsonian, Scientific American, and Elle • Winner of the Porchlight Business Book Award “A bestselling page-turner that has made waves not just in Silicon Valley but around the world . . . With Empire of AI, Hao is fundamentally shaping many people’s perceptions and understanding of the company at the center of the AI revolution.” —TIME Magazine, “TIME100 AI 2025” “Excellent and deeply reported.” —Tim Wu, The New York Times “Startling and intensely researched . . . an essential account of how OpenAI and ChatGPT came to be and the catastrophic places they will likely take us.” —Vulture From a brilliant longtime AI insider with intimate access to the world of Sam Altman's OpenAI from the beginning, an eye-opening account of arguably the most fateful tech arms race in history, reshaping the planet in real time, from the cockpit of the company that is driving the frenzy When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong? Over time, Hao began to wrestle ever more deeply with that question. Increasingly, she realized that the core truth of this massively disruptive sector is that its vision of success requires an almost unprecedented amount of resources: the “compute” power of high-end chips and the processing capacity to create massive large language models, the sheer volume of data that needs to be amassed at scale, the humans “cleaning up” that data for sweatshop wages throughout the Global South, and a truly alarming spike in the usage of energy and water underlying it all. The truth is that we have entered a new and ominous age of empire: only a small handful of globally scaled companies can even enter the field of play. At the head of the pack with its ChatGPT breakthrough, how would OpenAI resist such temptations? Spoiler alert: it didn’t. Armed with Microsoft’s billions, OpenAI is setting a breakneck pace, chased by a small group of the most valuable companies in human history—toward what end, not even they can define. All this time, Hao has maintained her deep sourcing within the company and the industry, and so she was in intimate contact with the story that shocked the entire tech industry—Altman’s sudden firing and triumphant return. The behind-the-scenes story of what happened, told here in full for the first time, is revelatory of who the people controlling this technology really are. But this isn’t just the story of a single company, however fascinating it is. The g forces pressing down on the people of OpenAI are deforming the judgment of everyone else too—as such forces do. Naked power finds the ideology to cloak itself; no one thinks they’re the bad guy. But in the meantime, as Hao shows through intrepid reporting on the ground around the world, the enormous wheels of extraction grind on. By drawing on the viewpoints of Silicon Valley engineers, Kenyan data laborers, and Chilean water activists, Hao presents the fullest picture of AI and its impact we’ve seen to date, alongside a trenchant analysis of where things are headed. An astonishing eyewitness view from both up in the command capsule of the new economy and down where the real suffering happens, Empire of AI pierces the veil of the industry defining our era.

Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society and a contributing writer for The Atlantic. She leads the Pulitzer Center's AI Spotlight Series, a program training journalists around the world on how to cover AI, and sits on the AI advisory board of the Craig Newmark Graduate School of Journalism at CUNY. She was formerly a foreign correspondent covering China’s technology industry for the Wall Street Journal and a senior editor for AI at MIT Technology Review. Her work is regularly taught in universities and cited by governments. She has received numerous accolades for her coverage, including an American National Magazine Award for Journalists Under 30. She received her B.S. in mechanical engineering from MIT.