Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI

Karen Hao

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.

TechnologyTechnology · medium confidenceTechnology81 signalsLlm Classifier: Technology -> TechnologyOpen Library: Artificial intelligence -> Arts & CriticismAward Category: Helen Bernstein Book Award for Excellence in Journalism -> Journalism & ReportageTechnology, Computing & AIBusiness, Capitalism & CorporationsInfrastructure, Engineering & Built Environment
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    • Sam Altman82%
  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    The book argues that AI success in practice requires extraordinary compute, data, labor, and energy—driving an “ominous age of empire” where only a few global companies can compete, and OpenAI largely yields to resulting temptations.

    Model confidence 66%

  4. 04 Reading orientation

    35 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 76%.