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CNIPA Issues a New Opinion on the IP Public Service System (No. 29): By 2030, Expanding "AI + IP" and High-Quality Datasets

A glowing brain-shaped network linked to IP symbols (copyright, trademark, a lightbulb), data streams feeding a gear-marked service platform, with a magnifying glass and a rising curve, symbolising CNIPA advancing AI-plus-IP public services and high-quality datasets

China's National Intellectual Property Administration (CNIPA) has issued an Opinion on Strengthening the Construction of the IP Public Service System (Guo Zhi Fa Fu Zi [2026] No. 29, dated 30 September 2026 and released on 13 October), based on the Outline for Building an IP Powerhouse (2021-2035) and the 15th Five-Year Plan for IP Protection and Use. It sets a goal that by 2030 the IP public service system will be more complete and services more precise and effective.

The Opinion makes "strengthening digital and intelligent empowerment" a priority: it calls for building high-quality IP datasets and widening and deepening the sharing and opening of IP data; and for applying AI across information analysis, examination and adjudication, commercialisation, risk warning and integrated management, building intelligent application scenarios such as patent navigation, valuation, industrialisation analysis, supply-demand matching and infringement-warning analysis, enriching "AI+" information services, and exploring the building of agents.

To be clear, this is not a new patent or trademark examination standard and does not directly change the rules for filing, examination or grant. It is a guiding opinion on building the public service system, and marks CNIPA's direction for its next phase of data and AI infrastructure — embedding official data and AI capabilities more deeply into search and analysis, valuation, commercialisation matchmaking and risk warning.

J&C notes that businesses and service providers can prepare now: watch for upgrades to search, patent-navigation and valuation tools driven by official high-quality datasets and data opening, and assess the chance to plug these "AI + IP" capabilities into their own patent planning, risk warning and commercialisation workflows; at the same time, mind the security and compliance limits of data use, and do not overlook data ownership and confidentiality when adopting official or third-party AI tools.

Source: www.cnipa.gov.cn

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