What's Happening?
China is emphasizing a strategic shift in global technology policy with a focus on artificial intelligence (AI) training. At the 2026 World AI Conference, President Xi Jinping outlined four key priorities: openness and cooperation, equitable access, AI security
and human control, and UN-centered coordination. This includes the announcement of 5,000 AI training opportunities and the establishment of international AI application cooperation centers. The initiatives are part of a broader strategy to reshape global AI governance, moving from broad principles to a more institutionalized approach. The World Artificial Intelligence Cooperation Organization (WAICO) was launched to institutionalize China's AI diplomacy, focusing on standards, capacity-building, and governance.
Why It's Important?
China's initiatives in AI training and governance are significant as they represent a shift in global technology dynamics. By promoting broader access and multilateral institutions, China is positioning itself as a leader in AI governance, contrasting with the United States' security-driven approach. This could impact global AI standards and practices, influencing how countries engage with AI technologies. Developing countries stand to gain from access to technology, training, and infrastructure, potentially increasing their technological capabilities. However, this also raises concerns about the influence China may exert over global AI standards and the potential for increased dependence on Chinese technology.
What's Next?
The next phase of China's AI strategy will focus on implementation and delivery. China's credibility will depend on its ability to turn commitments into sustained programs that are useful and responsive to the priorities of other countries. The United States faces the challenge of maintaining access to advanced capabilities while ensuring partners' confidence in predictable and reliable access. The global AI order is likely to consist of overlapping ecosystems with differentiated access and selective alignment, rather than two fully closed blocs. Countries will need to evaluate AI partnerships based on cost, technical capability, and long-term implications for standards and policy autonomy.
