On September 23, at the 5th Digital Trade Rule of Law Forum, the Institute of Policy and Economics of the China Academy of Information and Communication Technology released the “Annual Observation Report on Global Digital Trade Rules”. The report's core opinion points out that artificial intelligence is rapidly reshaping the global digital trade pattern, and rule system construction and coordination are becoming more urgent. Trade in artificial intelligence-related products and services accelerated. In 2025, the global trade volume of AI-related products reached 4.18 trillion US dollars, an increase of 21.9% over the previous year, contributing 42% of the total growth in global trade in that year. At the same time, model training and API calls bring new risks such as data security and technical sovereignty, causing relevant rules to face problems such as lagging governance and fragmentation of rules. Currently, artificial intelligence governance issues are dominated by soft rules, and the shift to more flexible new digital technology and economic and trade arrangements is being accelerated to promote technical cooperation and regulatory coordination.

On September 23, at the 5th Digital Trade Rule of Law Forum, the Institute of Policy and Economics of the China Academy of Information and Communication Technology released the “Annual Observation Report on Global Digital Trade Rules”. The report's core opinion points out that artificial intelligence is rapidly reshaping the global digital trade pattern, and rule system construction and coordination are becoming more urgent. Trade in artificial intelligence-related products and services accelerated. In 2025, the global trade volume of AI-related products reached 4.18 trillion US dollars, an increase of 21.9% over the previous year, contributing 42% of the total growth in global trade in that year. At the same time, model training and API calls bring new risks such as data security and technical sovereignty, causing relevant rules to face problems such as lagging governance and fragmentation of rules. Currently, artificial intelligence governance issues are dominated by soft rules, and the shift to more flexible new digital technology and economic and trade arrangements is being accelerated to promote technical cooperation and regulatory coordination.