Xi Jinping Announces 5,000 AI Training Opportunities over Five Years at 2026 World AI Conference, International Cooperation Center Sparks US Media Debate

At the opening ceremony of the 2026 World Artificial Intelligence Conference in Shanghai on July 17, Xi Jinping announced 5,000 AI training opportunities for developing countries over the next five years and the establishment of international AI application cooperation centers with ASEAN and the African Union, emphasizing open AI systems and opposing monopolies.

At the opening ceremony of the 2026 World Artificial Intelligence Conference in Shanghai on July 17, Xi Jinping announced that China will provide 5,000 AI training opportunities to developing countries over the next five years and establish international AI application cooperation centers with ASEAN, the African Union, and others, emphasizing China's open AI systems and opposition to monopolies.

The operational logic behind this arrangement lies in transforming China's existing advantages in AI model cost and application into an international cooperation framework through concrete capacity-building projects. A joint statement released during the conference showed that the meeting was themed "AI Partnership for a Brighter Future," with participants including the President of Kazakhstan, the Prime Ministers of Cambodia and Thailand, and the UN Secretary-General. Discussions focused on balancing development and security, talent foundations, and an application-oriented innovation ecosystem. The cooperation center model proposed by China essentially exports the low-cost model advantages already formed domestically to specific regions through training and joint centers, bypassing previous US restrictions on semiconductor exports.

The impact on the competitive landscape first falls on the developer community. China's advocacy of open systems means more developers can access training resources through cooperation centers, rather than relying on single, restricted channels. For enterprise users, local companies in developing countries may access applications at lower thresholds, reducing dependence on expensive imported hardware; however, they also face the practical constraint of aligning data sovereignty and subsequent governance rules with Chinese standards. Upstream chip and computing power suppliers may see demand diversion, as the cooperation center emphasizes an innovation ecosystem that is "enterprise-led and market-driven," tending to prioritize the use of existing Chinese models over new procurement.

In comparison with historical precedents, this initiative shows continuity with China's previous efforts to promote digital infrastructure under the Belt and Road framework, but shifts the focus from hardware to AI training and governance rule export. The US and Europe had previously restricted Chinese technology imports on national security grounds, a stance explicitly opposed by China at this conference, creating direct tension between the two sides' different narratives on the same issue.

Based on the above factual chain, cooperation centers will be gradually established in ASEAN and African Union countries, with the allocation of training slots serving as a verification signal.