OpenClaw/ChinAI - appetite is not diffusion
Last week I read Jeffrey Ding's latest ChinAI issue, and one detail lodged: at the height of China's OpenClaw frenzy, Shenzhen's Huaqiangbei electronics market ran short of Mac Minis, with some models selling for up to 600 RMB above list while online platforms charged 499 RMB just to set up your agent. Six months later, the project that was one of the fastest-growing open-source efforts from November 2025 to March 2026 is, in the words of the QbitAI retrospective Ding translates, a "thing of the past".
The enthusiasm was real, and it deserves a fair reading. Thousands of people went out of their way to configure an open-source agent that made them pick the model, wire it to their own data and assemble the skills themselves. That kind of grassroots appetite is not nothing, and dismissing it would be a mistake.
Yet appetite is not diffusion, and this is where the story turns instructive. When NBC News reported, citing SecurityScorecard data, that OpenClaw usage in China was almost double that of the United States, serious researchers called it evidence of a Chinese diffusion advantage. Ding went back to the underlying data on 29 August and found 18.7k deployed instances in the United States against 17.0k in China. The headline statistic had inverted and nobody had noticed, because the spectacle was doing the analytical work.
The same failure runs through most enterprise AI programmes. Counting installations, licences or agents rewards theatre, because it lets a leader declare transformation while the organisation underneath stays exactly as it was. A company has not diffused AI when it deploys a thousand agents; it has diffused AI when an old workflow is retired, a decision right moves, and the value shows up somewhere a CFO would recognise. Ding's deeper point lands here too: if Chinese business adoption travels through cloud providers, and cloud adoption significantly lags the United States, then the real diffusion story is a deficit hiding behind the installation numbers.
None of this argues that agents are overhyped, or that what happened in Shenzhen was meaningless. The capability is genuine, and the thirty-odd derivative products from Zhipu, Tencent and ByteDance will matter. The argument is narrower: we keep measuring the spectacle because the spectacle is easy to count.
The next time someone quotes an installation number at you, ask what was switched off.