The AI CEO experiment failed: same-model agent teams can't truly diversify
thisguyknowsai · x · 2026-10-28
- An experiment put an AI agent in charge of a team of AI agents with 12 hours to ship a game; the result was the same unplayable mess as a bossless team.
- Author francchen concludes multi-agent setups are currently just a way to save time by running Claude in the background, not real orchestration like an actual org. The core issue: every agent shares the same model weights, so even with different tools they're too similar to hold genuinely different roles or judgments.
- The attached chart illustrates the point: human team members spread out on a decision while the "diverse" agent team clusters tightly around its CEO—same-model agents lack real cognitive diversity.
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