Kimi CEO says AI labs are focusing on the wrong moat: teams, not models
goyalshaliniuk · x · 2026-07-24
Zhilin Yang, CEO of Kimi, argues that AI labs are focused on the wrong thing: the real differentiator is not the model alone, but the organization behind it.
He points to Moonshot’s response to demand spikes as an example: the company intentionally sold out plans rather than push harder on revenue, prioritizing user experience. The post contrasts that with Anthropic reportedly tightening usage limits during peak demand.
Yang’s broader thesis is that long context is becoming the AI era’s equivalent of RAM—growing from 128K to massive scales in just two years—yet the lasting moat still comes from how teams are structured and execute.
Related event: Kimi CEO: AI Lab Moat Lies in Team Organization, Not Models(2 posts)→
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