从“开源引领”到“应用出海”（国际观澜）

Core Insights - China's self-developed open-source AI models have reached a global download share of 17.1%, surpassing the United States for the first time, indicating a systemic leap in the overall strength of China's AI industry [1] - The scale of China's AI industry is projected to exceed 900 billion RMB in 2024, with a year-on-year growth of 24%, and the number of AI companies in China is expected to surpass 5,300 by September 2025, accounting for 15% of the global total [1] Industry Development - The transformation in China's AI sector is closely linked to the implementation of the "AI+" initiative, driven by both policy guidance and market demand, leading to a deep integration of technology and application scenarios [2] - Chinese AI products are expanding from internet applications to core sectors of the real economy, such as urban governance, smart energy, transportation logistics, and high-end manufacturing, aligning with global digitalization needs [2] Global Expansion - Chinese AI technology is not only expanding its applications but also effectively addressing production and living challenges in regions with dispersed populations or complex terrains, such as Southern Europe and Latin America [3] - The use of Chinese industrial drones equipped with AI visual systems has significantly improved response times for forest fire prevention and power line inspections, enhancing safety for remote communities [3] International Cooperation - China is actively participating in global governance and promoting international cooperation in AI, adhering to principles such as human-centeredness, fairness, and collaborative governance [3] - The unanimous adoption of a resolution on strengthening international cooperation in AI capacity building at the 78th United Nations General Assembly reflects international recognition of China's proposals [3] Future Outlook - Looking ahead, Chinese AI companies are expected to integrate more openly and innovatively into the global innovation network, contributing Chinese wisdom in areas such as rule-making, risk governance, and capacity building [4]