金砖盛会解码AI赋能新型工业化：智能体持续演进，协同生态探路

Group 1 - The 2025 BRICS New Industrial Revolution Partnership Forum was held in Xiamen, focusing on the strategic role of artificial intelligence (AI) in driving technological revolution and industrial transformation [1][3] - The Chinese government has reiterated its commitment to AI development, with the recent release of the "Opinions on Deepening the Implementation of 'AI+' Action," which aims to enhance AI integration across various sectors [3][4] - The forum highlighted the need for a collaborative approach to AI development, emphasizing the importance of building a comprehensive innovation ecosystem that includes academia, industry, and research [6][7] Group 2 - The New Development Bank's president pointed out that emerging technologies like AI, robotics, and quantum computing are reshaping national competitiveness and accelerating transformation processes [4][5] - There are significant challenges for many "Global South" countries in accessing key technologies, which hinders their participation in the new industrial revolution [5] - Knowledge sharing, joint technology development, and infrastructure co-building are essential for accelerating innovation in these countries, with BRICS nations positioned to lead this effort [5] Group 3 - AI is transitioning from isolated breakthroughs to collaborative advancements, necessitating the establishment of a broader and deeper innovation network [6][8] - The focus is on creating AI ecosystems that support the integration of digital and physical economies, thereby reducing barriers to AI research and application [6][8] - Companies like China Mobile are actively working to build international AI ecosystems, enhancing capabilities in AI computing, models, and applications to support high-quality industrial development [6][8] Group 4 - The development of intelligent agents is becoming central to the new industrial revolution, with a goal to achieve widespread integration of AI in six key areas by 2027 [7][8] - The Chinese government aims for over 70% penetration of new-generation intelligent terminals and agents by 2027, and over 90% by 2030 [7][8] - Companies are focusing on creating AI-driven solutions that enhance operational efficiency, such as the ICT intelligent agent developed by Xinhua San Group for wireless network management [9][10] Group 5 - Despite advancements, the application of large models and related technologies is still in the early stages, with ongoing efforts to enhance the intelligence and automation of intelligent agents [9][10] - The current capabilities of intelligent agents are limited, with performance levels in complex and uncertain business processes still needing improvement [10] - Future developments may lead to a collaborative intelligence era where intelligent agents surpass human capabilities, but this remains a work in progress [10]