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Chronicles

The story behind the story

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Zhejiang, home to Alibaba and DeepSeek, publishes an AI plan that expects companies in the AI supply chain to make $138B+ in total operating revenues by 2027

Coco Feng / South China Morning Post :

South China Morning Post Coco Feng

Context & Ripple Effects

Zhejiang’s target puts a provincial revenue benchmark around an ecosystem already anchored by Alibaba and DeepSeek. It follows Alibaba’s pledge of more than $53B for AI infrastructure, linking the region’s ambitions to investment in the compute and data-center layer as well as model development.

The plan also fits broader public-capital support for AI, including China’s proposed state venture-capital guidance fund aimed at backing strategic technologies. Later coverage of Hangzhou’s innovation corridor reinforces why Zhejiang has become a focal point for this policy-led cluster.

First-order effects

  • The province gives AI supply-chain companies a common 2027 growth target, increasing the strategic importance of Zhejiang-based operators such as Alibaba and DeepSeek to its regional technology agenda.
  • The target broadens the policy focus beyond frontier models to the suppliers and infrastructure businesses whose operating revenue will determine whether the ecosystem meets the goal.

Second-order effects

  • AI companies, infrastructure providers, and component suppliers seeking Zhejiang business have a clearer reason to position products and capacity around the province’s AI cluster.
  • Alibaba’s open-weight model and chip-software efforts could make its technology stack more consequential locally by lowering adoption and migration barriers for other AI-chain participants.

Third-order effects

  • If provincial targets are paired with sustained capital and infrastructure build-out, China’s AI competition may increasingly be organized around regional full-stack clusters rather than isolated model developers.
  • The key uncertainty is execution: a revenue target can coordinate activity, but it does not by itself establish demand, technical competitiveness, or profitable supply-chain scale.

The trend: This is one data point in the shift toward state-aligned AI industrial policy that treats models, compute, software, and suppliers as a single regional economic system.