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

Core Insights - The 2025 BRICS New Industrial Revolution Partnership Forum held in Xiamen highlighted the strategic role of artificial intelligence (AI) in driving a new wave of technological revolution and industrial transformation [1][2] - Discussions emphasized the need for a collaborative approach to AI development, integrating various sectors to fully leverage digital technology's potential [1][4] Group 1: AI Empowerment and Industrialization - AI is transitioning from isolated breakthroughs to a collaborative advancement phase, necessitating the establishment of broader innovation ecosystems that integrate academia, industry, and application [1][4] - The Chinese government has reiterated its commitment to AI, with the "AI+" initiative included in the government work report, aiming for deep integration of AI across various sectors [1][2] Group 2: Global Challenges and Opportunities - The global economy is undergoing profound changes, with emerging technologies reshaping production, trade, and innovation, presenting both opportunities and challenges for developing countries [2][3] - Knowledge sharing and joint development of technologies are crucial for bridging gaps in digital infrastructure and skills among "global south" countries [3][4] Group 3: Development of Intelligent Agents - The focus of AI is shifting towards intelligent agents, which are expected to play a central role in the new industrial revolution, with goals set for widespread integration in key sectors by 2027 and 2030 [5][6] - Companies are actively developing intelligent agents to enhance operational efficiency, with examples including the deployment of ICT intelligent agents for wireless network management [6][7] Group 4: Future Prospects and Current Limitations - While intelligent agents are seen as a transformative force, their current capabilities are still in the developmental stage, with significant room for improvement in complex and uncertain business processes [7][8] - The potential for intelligent agents to surpass human capabilities in collaborative tasks remains a future goal, with ongoing efforts to enhance their intelligence and automation [8]