On June 17, 2026, 36Kr reported that in 2026 around 90% of new Feishu customers also purchased Feishu’s AI capabilities, reflecting a shift from experimenting with isolated AI features to embedding AI into core organizational workflows. The article describes how Feishu is repositioning from a collaboration tool to an AI infrastructure layer for permissions-aware, workflow-integrated agents across documents, chat, meetings and approvals.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Feishu’s push shows what it looks like when AI stops being a sidecar product and becomes the organizing principle of an enterprise stack. If 90% of new customers are buying AI as part of their collaboration suite, the center of gravity shifts from ‘which model?’ to ‘which workflow fabric can actually operationalize models across permissions, knowledge and business processes.’ That’s a very different buying decision than just picking the smartest chatbot.
In practical terms, it means a growing share of Chinese enterprises will experience AI not as a separate tool but as an ambient layer across documents, messaging, approvals and analytics. For the race to AGI, that matters because true general intelligence is as much about the variety and density of real-world tasks a system is asked to perform as it is about sheer parameter count. A platform that embeds agents into millions of daily workflows generates exactly the longitudinal data and feedback signals frontier labs crave for alignment and capability tuning.
It also hints at a competitive model where collaboration platforms, not just cloud providers, become key gatekeepers for how and where AI agents are deployed inside organizations. That could fragment the ‘one API to rule them all’ vision and make the enterprise AI landscape more modular and contested.



