Two Chinese AI labs as an experiment in organisational design

Two Chinese AI labs are running a live experiment on organizational design.

Both eliminated middle management. Both rejected KPIs. Both have one layer between founder and individual contributor. Both outperform Western competitors on frontier benchmarks.

A Chinese journalist spent 100 hours inside Moonshot AI (the company behind Kimi). A separate investigation covered DeepSeek. What emerges is a pattern - not a culture quirk.

Moonshot: 300 employees, five co-founders each managing 40-50 people directly. No departments. No titles. 50% of employees changed roles completely since joining. They call it "two-dimensional folding" - collapsing organizational depth into a single plane.

DeepSeek: ~100 researchers, two levels total - Liang Wenfeng and everyone else. Employees leave at 6-7 PM. No timeclock. Liang's logic: "A person's high-quality work time rarely exceeds 6-8 hours daily." Meanwhile, OpenAI and xAI run 70-80 hour weeks.

Different approaches, same rejection of hierarchy. And the same enabler: AI handling what middle management used to handle.

Traditional hierarchy solves coordination problems. Who knows what. Who decides. Who talks to whom. Middle management is the routing layer - information up, decisions down, lateral sync through meetings. That layer has a cost: headcount, latency, context loss at every handoff.

These labs compressed the layer by pushing coordination into AI systems. Knowledge retrieval instead of "ask the senior person who remembers." Context synthesis instead of status meetings. Decision support that surfaces precedents and constraints instead of escalating to someone with pattern-matching experience. The routing function doesn't disappear - it moves from org chart to infrastructure.

Flat becomes viable at 300 people because the coordination tax dropped.

The obvious objection: elite research teams, not enterprise. But the principle scales even if the implementation doesn't. A 5,000-person company doesn't need to eliminate all hierarchy. It needs to ask which layers exist only for coordination that AI can now handle.

Only few have asked: what structure would we build if coordination were nearly free?

The Chinese labs asked.