China’s MIIT drafting policy to boost AI integration in manufacturing

The signal here is less about AI capability than about data plumbing: MIIT is prioritizing industrial datasets tied to core processes, which is the unglamorous bottleneck for vertical models in factory settings. That emphasis suggests policy support is aimed at deployment depth rather than headline model launches, a distinction that matters for industrial software and automation vendors more than for consumer-facing AI players. Whether the draft hardens into binding incentives, and how "high-quality" datasets get defined and shared across firms, is the open question.