
Empire of AI
- A New York Times Notable Book
Empire of AI by Karen Hao is one of 2026's most credible books, appearing on 1 of the year's most respected lists, including The Economist, for a Consensus Score of 18 out of 100.
Appears on these lists
Our take
AI-draftedHao, formerly of MIT Technology Review, spent years reporting inside OpenAI, and the book's real contribution is refusing the industry's preferred framing of AI as either inevitable revolution or overhyped bubble. Instead she treats OpenAI as an empire in the literal sense: a power structure that concentrates decision-making in a small circle while distributing the costs, low-wage content-moderation labor in Kenya, resource-hungry data centers, environmental strain, onto people far from Silicon Valley who have no say in the arrangement. That framing is the book's strength and also where critics have pushed back, since some of the labor-exploitation case studies read as chosen for dramatic effect rather than presented as clearly representative. It remains the most granular outsider account yet published of how OpenAI actually operates.
In the press
“A pointed account raises needed questions about how AI is to be regulated to do no—or at least less—harm.”
Kirkus Reviews
How the Consensus Score is calculated
Our Consensus Score is our own transparent editorial metric — not a user rating. It weighs each list by the credibility of its source, how recent the listing is, and any award status. Here is the full breakdown.
| Source | Authority | Recency | Award | Contribution |
|---|---|---|---|---|
| The Economist | 0.95 | 0.85 | 1.00× | 0.81 |
| Weighted sum → Score | 0.81 → 18 | |||
Similar consensus books
Because they appear on some of the same lists.
Frequently asked
What lists is Empire of AI on?
Empire of AI appears on 1 list in our 2026 corpus, including The Economist.
What is its Consensus Score?
Empire of AI has a Consensus Score of 18 out of 100, our transparent editorial measure of how many credible lists agree on it.



