Ex-Google CEO Eric Schmidt calls OpenAI and Anthropic modern colonial trading companies
Published on · Oct 25 · Sun Source · The Decoder

Ex-Google CEO Eric Schmidt calls OpenAI and Anthropic modern colonial trading companies

In a Foreign Affairs essay, Eric Schmidt, Niall Ferguson, and Lisa Klaassen argue the US-China AI race will be won by whoever can fund it, comparing OpenAI and Anthropic to colonial trading companies.

Key Takeaways

  • Key Highlight:In a Foreign Affairs essay, Eric Schmidt, Niall Ferguson, and Lisa Klaassen argue the US-China AI race will be won by whoever can fund it, comparing OpenAI and Anthropic to colonial trading companies.
  • Innovation & Tech:Highlights advancements in OpenAI, Google, Anthropic, demonstrating rapid progress in model capabilities.
  • Industry Impact:Reported via The Decoder, offering actionable signals for developers and technology leaders.
KeywordsOpenAIGoogleAnthropicEx-GoogleCEOEricSchmidtIn

Former Google CEO Eric Schmidt, historian Niall Ferguson, and researcher Lisa Klaassen published an essay in Foreign Affairs framing the global AI landscape as a new form of empire. They cast the United States and China as the two dominant AI powers and describe every other country as a dependency, drawing parallels to historical colonial trading companies.

A central claim is that the AI race will not be decided by a single technical breakthrough but by sustained capital. Schmidt and his co-authors argue that US corporations, including OpenAI and Anthropic, function like modern colonial enterprises that extract value from data and talent while concentrating power in a few hubs.

The essay is notable for coming from a former Google CEO who has long been a vocal AI advocate. By using the colonial metaphor, Schmidt signals a shift in tone—acknowledging that the concentration of AI resources and decision-making raises geopolitical and ethical concerns that go beyond pure technology.

The piece is likely to spark debate about AI governance, data sovereignty, and whether non-US and non-China nations can develop meaningful AI capabilities or will remain dependent on the two dominant ecosystems. It adds to a growing body of commentary warning that AI's economic and strategic benefits may be unevenly distributed.

This page provides an editorial summary based on publicly available information. It is not a republished article. Use the source link below for the original report.

Industry Insights & Analysis

As artificial intelligence rapidly evolves, breakthroughs surrounding OpenAI, Google, Anthropic, Ex-Google are shifting toward scalable, robust real-world implementations.

Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.