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# The 300 People Building God-Mode AI Work From WeWorks
- URL: https://wire.fourthweb.ai/the-300-people-building-god-mode-ai-work-from-weworks/
- Published: 2026-10-10T13:41:50.000Z
- Updated: 2026-10-10T14:30:44.000Z
- Description: The people building god-mode AI can fit in a WeWork. Kevin Roose's new book *The AGI Chronicles* focuses on the tiny group of researchers at OpenAI, Anthropic, and Google DeepMind racing toward artificial general intelligence
- Author: Travis Wright
- Tags: AI Agent Economy, DeFi, OpenAI, Anthropic, Google AI

**The people building god-mode AI can fit in a WeWork.**

### The Summary

- [Kevin Roose's new book \*The AGI Chronicles\* focuses on the tiny group of researchers at OpenAI, Anthropic, and Google DeepMind racing toward artificial general intelligence](https://www.bloomberg.com/news/videos/2026-10-10/the-race-for-ai-supremacy-raises-safety-concerns-video?ref=wire.fourthweb.ai)
- The concentrated power raises urgent questions: who controls AGI when it arrives, and can we regulate systems smarter than their creators?
- The AGI race is a sovereignty question dressed up as a product roadmap

### The Signal

Three companies. Maybe 200 people who actually matter. That's the headcount driving humanity toward artificial general intelligence. [Roose's reporting reveals just how concentrated the power structure is](https://www.bloomberg.com/news/videos/2026-10-10/the-race-for-ai-supremacy-raises-safety-concerns-video?ref=wire.fourthweb.ai) in what might be the most consequential technology race since nuclear weapons.

The comparison isn't hyperbolic. At least the Manhattan Project had government oversight and a clear command structure. The AGI race has venture capital, NDAs, and a gentleman's agreement not to build the torment nexus.

> "A relatively small group of researchers and executives has driven the race toward AGI."

Here's what makes this different from previous tech concentration: Facebook controlling social graphs or Google controlling search was about market power. AGI control is about something closer to geopolitical sovereignty. When a system can outthink humans across domains, the entity that controls it doesn't just have a monopoly product. It has a monopoly on intelligence itself.

The regulatory challenge Roose highlights is the core problem. How do you write rules for systems that will rapidly become smarter than the people writing the rules? Traditional tech regulation works when humans can still evaluate what the system does. But AGI by definition means the reasoning is beyond full human comprehension.

**Key tensions emerging:**

- Speed vs. safety: Each company fears being second more than being reckless
- Transparency vs. security: Publishing safety research helps everyone, including adversaries
- Profit vs. existential risk: Shareholders want returns, not philosophical debates about human obsolescence

The concentrated power structure also creates a strange accountability vacuum. If AGI goes wrong, who answers for it? The CEO? The lead researcher? The board? Unlike nuclear weapons, there's no clear chain of command, no Situation Room, no doctrine. Just a bunch of very smart people who really hope their alignment research works.

What's missing from the current conversation is any serious discussion of splitting up this power. Everyone assumes AGI will be built by one of these three labs, then maybe open-sourced later or regulated after the fact. Nobody's asking whether three companies should have this much control over the technology that defines human civilization's next chapter.

### The Implication

Watch which company ships first and what their governance model looks like. If [OpenAI](https://wire.fourthweb.ai/tag/openai/) or [Anthropic](https://wire.fourthweb.ai/tag/anthropic/) or DeepMind achieves AGI with current corporate structures intact, we'll have handed god-tier intelligence to a Delaware C-corp. That's not a conspiracy theory. That's just what the cap table says.

The smart money isn't just tracking model capabilities. It's tracking governance experiments. Which lab builds meaningful external oversight? Which one actually slows down when safety questions emerge? Those choices matter more than benchmark scores. Because the team that builds AGI doesn't just win the race. They write the rules for everything that comes after.

### Sources

[Bloomberg Tech](https://www.bloomberg.com/news/videos/2026-10-10/the-race-for-ai-supremacy-raises-safety-concerns-video?ref=wire.fourthweb.ai)