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Chinese President Xi outlines open-source AI ecosystem in BRICS plan

The initiative includes collaboration on large language models and training programs. BRICS nations represent nearly half the world's population. The plan is part of a broader global AI strategy.

Published 13 September 2026 · ID 2026-09-13-chinese-president-xi-outlines-open-source-ai-ecosystem-in-brics-plan
Chinese President Xi outlines open-source AI ecosystem in BRICS plan

Chinese President Xi Jinping announced a five-point plan to establish an open-source AI ecosystem during the BRICS summit. The proposal aims to foster collaboration among member states in developing and applying large language models. Xi emphasized China's leadership role in creating a BRICS AI open-source community, which would include specialized seminars and training courses.

The BRICS grouping, comprising 11 major emerging economies, concluded its annual summit with a unified commitment to the initiative. The summit highlighted the collective effort to address global challenges through technological innovation. BRICS nations collectively represent around 49.5 per cent of the world's population and 40 per cent of global GDP, according to the summit's findings.

Xi's plan involves partnering with around 30 nations to establish the World AI Cooperation Organisation. The initiative includes building an open ecosystem for AI, which would support the development and application of large language models. This effort is part of a broader strategy to enhance global AI cooperation and knowledge sharing.

The move is expected to influence global AI governance and market dynamics. It may lead to increased competition among AI developers and raise concerns about vendor lock-in and data privacy. The initiative could also impact the balance of power in the AI sector, with potential implications for innovation and regulation.

As the plan continues to develop, its long-term impact on global AI collaboration remains to be seen. The initiative may serve as a model for future international efforts in AI development. However, challenges such as ensuring equitable access and addressing governance issues will need to be addressed.

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