THE ESSENTIALS
  • Xie Ruolin calls for testing AI against practical business needs and expanding affordable deployment services.

A deployment argument

A commentary published on October 19 by Securities Daily's official account calls for China to measure AI progress through practical deployment. Author Xie Ruolin argues that some businesses treat connecting a large model as the endpoint of digital transformation, while others focus on concept products and demonstrations without finding real demand. The article identifies high costs, scarce talent and deployment difficulties as obstacles for smaller companies.

Proposals for wider adoption

Xie proposes a chain from identifying needs to validating applications and replicating successful projects. The commentary calls for industry testing platforms, evaluation of pilot projects and changes or exits for unsuccessful trials. It also advocates affordable computing, models, software and services, with modular solutions that smaller businesses can adopt without building large platforms themselves.

The new material is the author's analysis and recommendations. The State Council meeting it discusses took place on October 16. Xie also calls for stronger coordination among research, industry and users, including larger companies opening scenarios, data and tools to partners.

Sources & context

Go to the original material. Company claims remain attributed to their sources.

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Last updated October 19, 2026.Spotted an issue? Let us know ↗