从都国际庄园位于北纬23°的凤凰山下，远离政治中心和都市喧嚣，立足广州也关切全球。从都国际论 坛自2014年创办以来，共举办了九届，始终致力于促进对话、凝聚共识、推动交流合作。 在2025年论坛现场，关税、保护主义、单边主义是嘉宾发言时频繁提及的词，也是笼罩在全球经济上方 的阴霾。但对话的意义不仅在于厘清现实，更在于捍卫共识、谋求新路。 南方财经 21世纪经济报道记者赖镇桃 广州报道 12月1日至3日，2025从都国际论坛在广州举行。来自全球各地的30多位前国家元首、政府首脑、国际组 织负责人，以及100多位中外知名专家学者、国际友人和商界领袖等共200多位嘉宾齐聚一堂，共谋全球 发展大计，共商区域和全球合作。 "越有分歧，越要对话；越有挑战，越要交流。"从都论坛创办人、澳中友好交流协会会长、世界领袖联 盟亚太区主席、尼扎米·甘伽维国际中心全球联合主席周泽荣博士道出。 第73届联合国大会主席、厄瓜多尔前外长玛丽亚·费尔南达·埃斯皮诺萨向21世纪经济报道记者说，她依 然坚信世界贸易组织、世界银行等国际机构的价值，它们对于全球经济的运行至关重要，只是当今世界 已经发生了翻天覆地的变化，"我完全赞同中国发起的全球治 ...

央视网消息：由工业和信息化部、人力资源社会保障部、教育部等五部门联合主办，第三届全国工业和信息化技术技能大赛决赛11月27日在重 庆举行。 本届大赛聚焦工业机器人、新能源汽车、工业互联网、制造业数字化转型等重点领域设置了六大赛项，共吸引来自全国的408支队伍、834名选 手同场竞技。比赛结合实际应用，从企业研发生产一线的实际问题中提炼赛题。 工业和信息化部教育与考试中心主任郝志强介绍，大赛赛项均源于产业真实场景，选手在竞技当中形成的解决方案，具有极强的可复制性与推 广价值。 据了解，用于比赛的机器人就是全运会期间的机器人火炬手——"夸父"。在这里，"夸父"要根据选手的指令模拟工厂中巡检、搬运、上下料、 分拣等场景作业。 在智能网联新能源汽车赛场，选手们要在规定时间内完成智能硬件安装调试、故障检测排除，以及模拟自动驾驶和避障等多项复杂任务。 从场景应用出发 以赛促用 挑选技术尖兵 据了解，在这次比赛项目中首次将人形机器人和工业场景相结合，完成工业巡检、操作、搬运等多种环节。同时，还引入开源大模型，将人工 智能技术和工业机器人相结合，推动工业机器人从执行向理解与交互升级。 第三届全国工业和信息化技术技能大赛组委会 ...

Core Points - The third National Industrial and Information Technology Skills Competition was held in Chongqing, focusing on key areas such as industrial robots, new energy vehicles, industrial internet, and digital transformation of manufacturing [1][3] - The competition attracted 408 teams and 834 participants, with six major events designed to address real-world issues from the production line [3][5] Group 1: Competition Overview - The competition featured six major events that emphasize practical applications and solutions derived from real industrial scenarios [3] - Participants showcased their skills in tasks involving humanoid robots, including industrial inspection, operation, and transportation [5][9] Group 2: Technological Integration - The competition integrated humanoid robots with industrial scenarios, enhancing their capabilities in tasks such as autonomous navigation and obstacle avoidance [5][9] - The introduction of open-source large models combined AI technology with industrial robots, promoting an upgrade from execution to understanding and interaction [5] Group 3: Talent Development - The competition aims to foster interdisciplinary engineering talent with system integration capabilities and innovative thinking [7] - It serves as a platform for identifying and nurturing skilled technical personnel, with previous competitions yielding numerous national technical experts and award winners [13] Group 4: Industry Impact - The event promotes vocational talent cultivation and technological innovation, while also accelerating the digital transformation of related industries [13] - The industrial internet sector has seen significant growth, with 17 provinces achieving over 100 billion yuan in added value, and over 1 million industrial devices connected [15] Group 5: Market Potential - The humanoid robotics sector is experiencing rapid growth, with over 150 companies and an expected market size of 100 billion yuan by 2030 [15] - There is a strong demand for talent in robot control, algorithms, and AI applications, particularly in the humanoid robotics field [15]

Core Insights - The focus of the Wuzhen Summit in 2025 has shifted from internet giants to emerging AI and robotics companies, particularly the "Six Little Dragons" from Hangzhou [1][3][10] - The rise of these companies signifies a transition in China's tech narrative from "Internet+" to "AI+" and highlights the country's path toward independent innovation [3][9][17] Group 1: The "Six Little Dragons" - The "Six Little Dragons" include DeepSeek, Yushu Technology, Game Science, Qunke Technology, Qiangnao Technology, and Yundong Technology, all founded around 2015, and are now challenging technological boundaries in their respective fields [4][10] - DeepSeek's open-source large model is reshaping the global AI industry, while Yushu Technology is pushing the limits of robotics [4][11] - Game Science's project "Black Myth: Wukong" has sparked global interest in Chinese culture, and Qunke Technology focuses on spatial intelligence for robots and AI agents [4][11] Group 2: Innovation Ecosystem - The emergence of the "Six Little Dragons" is supported by a robust innovation ecosystem in Zhejiang, which has established over 2,600 doctoral innovation stations, with more than 200 closely related to AI [5][12] - Zhejiang has nurtured over 1,800 specialized "little giant" enterprises and 36,300 innovative SMEs, indicating a strong foundation for technological advancement [7][8] Group 3: Industry Growth Metrics - In the first nine months of this year, Zhejiang's core AI industry generated revenues of 494.4 billion yuan, a 22% year-on-year increase, with R&D expenditures reaching 39 billion yuan, up 14% [8] - The shift from product creation to ecosystem development is evident as Chinese technology moves into deeper innovation areas such as large models, robotic operating systems, and brain-computer interfaces [9][11] Group 4: Future Outlook - The upcoming "14th Five-Year Plan" emphasizes the cultivation of emerging and future industries, potentially adding a scale equivalent to "recreating China's high-tech industry" over the next decade [15][17] - China's entry into the top ten of the World Intellectual Property Organization's global innovation index marks a significant milestone, indicating the country's innovation system is now among the global leaders [16][17]

Core Insights - The Chinese government is focusing on the manufacturing sector as the primary battlefield for artificial intelligence (AI) applications, aiming to support both domestic and international institutions in exploring high-value scenarios of "AI + manufacturing" [1][2] - The AI industry in China is rapidly developing, with over 5,000 core enterprises and more than 400 national-level specialized small and medium-sized enterprises, positioning the country as a global leader in AI capabilities [2][3] - Shanghai is actively promoting the construction of smart factories, having cultivated 12 national-level and 254 advanced-level smart factories, leading the country in the number of high-level smart factories [3] Industry Developments - The AI industry in China has seen significant advancements in key technologies such as AI chips and algorithms, with a computing power scale of 788 EFLOPS, ranking second globally [2] - Major applications of AI models are now widespread in critical industries like materials, steel, and automotive, with over 35,000 basic-level and 230 excellent-level smart factories established [2] - The collaboration between companies and research institutions is emphasized to enhance innovation and resource allocation in AI applications [2][3] Technological Innovations - The launch of the ZhiYuan Robot's interactive embodied intelligence technology marks a significant step in applying AI in the automotive parts manufacturing sector [4] - The introduction of real machine reinforcement learning technology in collaboration with leading ODM companies signifies the transition of AI from academic research to industrial application [5] - Qualcomm's commitment to AI and its integration into various industries reflects the ongoing technological evolution, with expectations for 6G technology development to further enhance AI capabilities [5] Investment Trends - According to a report by SAP, Chinese enterprises are leading global investments in AI, averaging $42.8 million this year, surpassing the U.S. and Germany [6] - The expected return on investment for AI in China is projected to be 18% this year, potentially doubling to 34% in the next two years, indicating a strong positive outlook for AI investments [6] - A significant majority (84%) of Chinese enterprises anticipate achieving positive returns on their AI investments within three years, highlighting the growing importance of AI in business processes and decision-making [6]

Core Insights - The report emphasizes that generative AI is profoundly transforming Chinese enterprises, significantly enhancing employee capabilities and creating numerous cross-departmental applications while raising AI governance to unprecedented levels [2] - A major challenge identified is the uncertainty regarding the return on investment (ROI) from AI, with only 13% of respondents expressing high confidence in calculating AI's ROI, and 36% showing low confidence [2] Key Trends - **Open Generative AI Models**: The focus is on ecological control, compliance, and industrial safety, with the launch of open-source models like DeepSeek marking a significant shift in the market landscape [2][3] - **Build Strategy**: Chinese enterprises prefer to develop their own solutions to achieve customized innovation and protect data sovereignty, particularly in government and large state-owned enterprises [3] - **Agent-based AI**: This approach emphasizes intelligent agents capable of task perception, execution, and feedback, moving beyond simple text generation to more complex task execution [4][5] - **Frugal AI**: Companies are focusing on cost-effectiveness rather than maximum performance, emphasizing lightweight deployment and local inference, which is particularly important for SMEs [6] - **Engineering Capability**: The engineering strength of Chinese enterprises is crucial for accelerating the transition of AI from concept to implementation, with a notable increase in the production landing rate of generative AI from 8% in 2024 to 43% in 2025 [6] - **Collaborative AI Security**: The rise of generative AI has led to increased security concerns, necessitating a collaborative governance framework across IT, legal, and business departments [6] - **AI Talent Pool**: China has a rich talent pool in AI, with a significant increase in the proportion of Chinese authors in top AI conferences, and a growing need for business-savvy talent as generative AI becomes more accessible [7] - **Ubiquitous AI**: AI applications are expanding beyond traditional office settings, thriving in B2C scenarios and leveraging China's strengths in 5G and digital ecosystems [8][9] - **Inclusive AI Ecosystem**: Chinese companies are shifting towards a one-stop service model that integrates models, platforms, tools, and services, enhancing customer choice and deployment speed [10][11] - **Data as a Core Barrier**: Unique data has become a critical asset for leveraging AI successfully, forming a closed-loop evolution between data management and AI capabilities [12] Conclusion - The ten trends identified are interconnected and collectively empower Chinese enterprises to innovate, achieve business transformation with controllable costs, and drive a B2C-oriented AI ecosystem, positioning them for significant global impact [12]

Core Insights - The "2025 China Private Enterprises Top 500" list was recently released, with the entry threshold rising to 27.023 billion yuan for 2024 revenue rankings [1] - The total revenue of the listed companies reached 4.305 trillion yuan, with an average revenue of 86.102 billion yuan, and a total net profit of 180 billion yuan, averaging 3.605 billion yuan per company, reflecting a year-on-year growth of 6.48% [1][3] - The report indicates a strong focus on the real economy, with 72% of the companies in the secondary industry and 66.4% in manufacturing [1] Industry Structure - Among the top ten private enterprises, six are closely related to the technology sector, and twelve out of the top twenty are in technology, highlighting the significant role of technology as a productivity driver [1] - The composition of the manufacturing sector has shifted, with a notable increase in high-end equipment, new materials, new energy, and smart terminals compared to ten years ago, where traditional sectors like black metal smelting dominated [1] - A total of 309 companies reported investments in 627 projects across strategic emerging industries, including new materials, new energy, and high-end equipment manufacturing [1][3] R&D and Innovation - The total R&D expenditure of the reporting companies reached 1.13 trillion yuan, with a total of 1.1517 million R&D personnel, indicating an average R&D intensity of 2.77% [3] - Approximately 66.80% of the companies have achieved cost reduction and efficiency improvement through digital transformation, while 83% have adopted green low-carbon technologies and practices [3] Market Opportunities and Challenges - The global trend towards manufacturing development and China's transition to high-quality development presents significant opportunities for private enterprises, although they face challenges from traditional business models and homogeneous competition [3][4] - The Chinese market's vast potential supports innovation and development, particularly in the context of consumption and industrial upgrades [4] - Systematic reforms are being implemented to create a more favorable environment for innovation, encompassing various sectors such as research, education, and finance [4] Competitive Landscape - The competition among private enterprises is expected to intensify, with a focus on creating a market-oriented, rule-of-law, and international business environment [4] - The future competition will largely revolve around the business environment and the level of legal and civil development in different regions [4]

Core Viewpoint - The article discusses China's strategic plan for artificial intelligence (AI) development, emphasizing its transition from an industrial upgrade tool to a foundational infrastructure for modernization, with a vision extending to 2035 [2][5]. Summary by Sections Strategic Goals - The "AI+" action plan outlines a three-step approach: by 2027, AI should be deeply integrated into six key areas with a penetration rate of over 70% for new intelligent terminals and agents; by 2030, this rate should exceed 90%; and by 2035, AI will be a fundamental support for achieving socialist modernization [5][7][11]. Key Areas of Focus - The six key areas for AI integration include technology, industry, consumption, livelihood, governance, and global cooperation. These areas are characterized by clear data entry points, defined business loops, and strong technology diffusion effects [6][8]. Industry Transformation - In the industrial sector, the plan aims to promote the intelligent transformation of the three pillar industries (industrial, agricultural, and service sectors) and foster new "intelligent native enterprises" that leverage AI as their foundational logic [6][9]. Societal Impact - AI is expected to enhance quality of life and reshape service and product forms in the consumer sector, while also improving governance through smart city initiatives and intelligent public administration [8][9][12]. Technological Development - The plan emphasizes the importance of models, data, computing power, and open-source initiatives as critical components for accelerating AI industry development. It highlights the need for high-quality datasets and innovative AI chip technologies [14][20]. Regulatory Framework - The article notes that AI governance in China is entering a new institutional phase, with a focus on addressing risks such as algorithmic bias and model opacity. New regulations are being introduced to ensure responsible AI use [21][22]. Conclusion - The "AI+" action plan represents a significant shift in China's approach to AI, focusing on practical applications across various sectors and addressing existing challenges in AI deployment [23].

Group 1 - The core theme of the conference is "Intelligent Era, Collaborative Governance," focusing on leveraging opportunities and addressing challenges in the field of artificial intelligence [1] - The conference aims to implement the Global AI Governance Initiative proposed by President Xi Jinping, serving as a platform for showcasing AI technology, industry trends, and governance practices [1][4] - The conference released the "Global AI Governance Action Plan," calling for specific actions in 13 areas, including enhancing digital infrastructure and fostering international cooperation in AI capability building [1][4] Group 2 - The conference highlighted the importance of making AI products global public goods, emphasizing open sharing and equitable access to AI technologies for all nations and communities [2] - Various AI applications and technologies from China were showcased, demonstrating their impact in regions such as Asia, Africa, South America, and Europe [2] - The Chinese Meteorological Administration launched the "MAZU" early warning system during the conference, showcasing China's commitment to AI-driven solutions for disaster management [2] Group 3 - Over 3,000 cutting-edge exhibits were presented at the conference, including more than 100 global and Chinese product debuts, indicating a vibrant innovation environment [3] - The conference initiated the "International AI Open Source Cooperation Initiative" and established a global AI innovation governance center to drive technological innovation through open-source collaboration [3] - The event served as a dialogue platform for sharing breakthroughs and applications in AI, fostering a collaborative atmosphere for innovation [3] Group 4 - The conference addressed the dual challenges of development and security in AI, advocating for a balanced approach to governance and cooperation [4] - China proposed the establishment of a World AI Cooperation Organization to address the digital divide and enhance global AI governance [4] - The country is actively contributing to the global AI governance framework, aligning with international commitments and promoting collaborative efforts in AI capability building [4]

Core Insights - The 2025 World Artificial Intelligence Conference and the High-Level Meeting on Global Governance of Artificial Intelligence were inaugurated in Shanghai, where the National Development and Reform Commission released the "China Intelligence: Benefits to the World (2025)" case collection, showcasing China's contributions to global AI development and international cooperation [1][4][5] Group 1: AI's Global Impact - Artificial intelligence is transforming lifestyles and has a profound impact on the global economy and technological development landscape, becoming a new focal point in global tech development [4] - The case collection highlights various international cooperation projects where Chinese AI products and technologies empower development across Asia, Africa, South America, and Europe [5] Group 2: AI Applications and Innovations - Examples of AI applications include a language model facilitating communication with disaster victims, AI in education transcending borders, and smart farming technologies enhancing productivity for farmers [5] - Other applications mentioned are AI in medical imaging analysis improving patient experiences, safety platforms for railways, and algorithms achieving zero casualties in mining operations [5] Group 3: Future Collaboration and Goals - China expresses willingness to collaborate with countries worldwide, using technology as a bridge to deepen AI applications in infrastructure, healthcare, climate change, and public safety [6] - The aim is to create a synergy in addressing global challenges through collaborative innovation and sustainable development [6]