12月8日，《中共广东省委关于制定广东省国民经济和社会发展第十五个五年规划的建议》（下称《建 议》）发布。南都大数据研究院梳理发现，《建议》共10次提及"人工智能"，高频聚焦人工智能对建设 制造强省、数字广东的支撑作用，提出"发展智能经济，拥抱智能社会"，推进人工智能全域全时高水平 应用，创造人机协同、跨界融合、共创分享的智能经济新模式，促进生产力革命性跃迁。 此外，《建议》还提出统筹高质量发展和高水平安全，建设更高水平的法治广东、平安广东。关于深入 推进国家安全体系和能力建设，《建议》提出"加强网络、数据、人工智能、生物、生态、核、太空、 深海、极地、低空等新兴领域国家安全能力建设"。 采写：南都研究员 李伟锋 《建议》认为，"十五五"时期广东发展处于战略机遇和风险挑战并存、不确定难预料因素增多的时期， 也处于在斗争中壮筋骨、育新机、开新局的时期。新一轮科技革命和产业变革加速突破，人工智能等颠 覆性技术催生新产业新业态新模式，谁能够屹立于科技浪潮的潮头，谁就能把握未来发展的主动。 为建设具有国际竞争力的现代化产业体系，巩固壮大实体经济根基，《建议》提出高质量建设制造强 省。充分发挥机电一体化和软硬件协同优势 ...

Core Insights - The concept of "Artificial Intelligence +" is gaining traction in China, with policies driving its integration across various industries, aiming to inject strong momentum into economic growth [1][3] - IDC's President in China, Huo Jinjie, emphasizes that top-level design is creating opportunities, shifting the digitalization process from resource migration to value creation [1][3] AI Terminal Development - By 2027, the penetration rate of new intelligent terminals and AI applications is expected to exceed 70%, with rapid growth in the core industries of the intelligent economy; by 2030, this rate is projected to exceed 90% [3] - The IT terminal market is anticipated to experience a dual explosion of "stock replacement + incremental innovation" by 2026, with AI terminals becoming key productivity tools for economic transformation [3] Computing Power Trends - The industry is likely to adopt a "compute as a service" model, allowing for flexible payment and on-demand usage of high-performance computing resources [4] - The construction of an integrated computing power network will provide foundational support for value creation, with cross-domain scheduling and heterogeneous computing power delivery becoming the norm [4] Green Computing Initiatives - Green ICT is becoming a critical benchmark for enterprise transformation, with liquid cooling, energy efficiency platforms, and green electricity expected to be standard for large projects [4] - Companies must reshape their KPI systems to include green metrics such as PUE (Power Usage Effectiveness) and WUE (Water Usage Effectiveness) [4] Scene Engineering and Digital Transformation - Successful implementation of scene engineering will unlock the full value of computing power, requiring enterprises to move from fragmented pilot projects to end-to-end scene deployment [5] - Data compliance is a significant challenge in digital transformation, with the proliferation of AI-generated data complicating data governance [5] Talent Development - There is a pressing need for hybrid AI talent that possesses both depth and breadth of knowledge, understanding industry processes and effectively utilizing AI tools [5] - Companies should focus on productizing governance capabilities related to compliance, risk, and energy efficiency before scaling their operations [5]

第三，生成式人工智能产品数量迅猛增长，应用场景持续扩大，推动数字中国建设从数字化阶段向数智 化阶段迈进。过去10年，数字中国建设为全面实施"人工智能+"行动创造有利条件、奠定良好基础。 2024年，我国数字经济核心产业增加值占国内生产总值的比重约10%，规模稳居世界第二；全国数据市 场交易规模超1600亿元，比2023年增长30%以上；智能制造成效显著，建成3.5万多家基础级、230多家 卓越级智能工厂；数字化生活逐渐成为我国社会不可或缺的生活方式，"高效办成一件事"、"最多跑一 次"、国家智慧教育公共服务平台、互联网医院、远程医疗服务网络等为人民群众带来方便。全面实 施"人工智能+"行动，既一以贯之地将数字中国建设"一张蓝图绘到底"，又与时俱进地推动人工智能在 经济社会发展各领域加快普及、深度融合，奋力开拓数智化发展新局面。 第四，推进人工智能商业化规模化应用是一项长期、复杂的系统工程，需要通过全面实施"人工智能 +"行动广泛凝聚各方力量。在科技突破上，要加强基础理论研究，支持多路径技术探索和基础架构创 新，攻克关键核心技术，推进开源生态培育构建自主可控、协同运行的人工智能基础软硬件系统。在要 素支撑上，要 ...

新华财经北京12月5日电（于青） 近日，以"五载耕'数'，'媒'好未来"为主题的中国信息通信研究院（以 下简称"中国信通院"）数字经济媒体班五周年回顾暨2025届结课仪式在京举行。作为国家高端专业智库 与产业创新发展平台，中国信通院依托长期研究积淀与智库资源优势，为媒体行业培养复合型数字人才 提供坚实支撑，并与媒体伙伴携手，共同构筑起贯通政策端、产业端与社会公众的沟通桥梁。 当前，数字经济动能澎湃，智能经济加速崛起，数智技术成为驱动媒体行业全方位变革的关键力量，行 业高质量发展迎来新的机遇和挑战，媒体工作者的数字素养亟待提升。 服务国家战略、赋能产业发展，中国信通院于2021年启动首期数字经济媒体班，截至目前已累计为来自 人民日报社、新华社、中央广播电视总台等70余家中央主流媒体及多家行业权威媒体的263名媒体从业 者进行授课。 中国信通院副院长魏亮表示，媒体是连接技术创新、产业变革与社会公众认知的关键桥梁，也是推动实 体经济和数字经济深度融合的关键力量。五年来，学员们产出了一大批具有影响力的深度报道，以专业 视角解读产业政策，以鲜活案例呈现发展成就，覆盖受众广泛，为凝聚社会共识、营造良好发展氛围发 挥了积极 ...

Core Viewpoint - The article emphasizes the emergence of the "smart economy" as a new economic form driven by artificial intelligence and other intelligent technologies, which enhances personalized customization and proactive responses, elevating economic and social development to a higher level [1][6]. Development of Smart Economy - The "14th Five-Year Plan" has established high-quality development as the main theme for economic and social development, proposing the comprehensive implementation of the "Artificial Intelligence +" initiative to integrate AI with various sectors [2][3]. - The smart economy is characterized by a transition from digitalization to intelligent transformation, with AI technologies driving comprehensive upgrades across production methods and living scenarios [8][10]. Historical Context of AI Development - The development of AI can be divided into three stages: rule-based programming (1950s-1970s), expert systems and knowledge engineering (1970s-1980s), and data-driven learning (1980s-present) [5][6]. - The modern concept of AI involves using computer technology to enable machines to learn and act autonomously, marking a significant shift from traditional automation and mechanization [5][6]. Trends in Smart Economy - The transition from generative AI to intelligent agents is underway, with the number of generative AI services expected to grow from 8 in August 2023 to 439 by June 2025, reflecting a 54-fold increase [8][9]. - The smart economy will evolve from a focus on virtual services to a core emphasis on intelligent manufacturing, indicating a shift in economic development models [9][10]. Industry Development and Ecosystem - By 2024, China's AI industry is projected to exceed 700 billion yuan, with a comprehensive industrial chain covering chips, computing power, data, platforms, and applications [10][11]. - The emergence of AI-native enterprises specializing in AI programming, customer service, and robotics is expected to drive the development of a complete smart industry ecosystem [10][11]. Recommendations for AI Development - To promote high-quality AI development, it is essential to expand investment, accelerate the scale production of AI products, and enhance the quality of digital infrastructure [13][14]. - Building a robust AI industry ecosystem requires integrating market forces, supporting leading enterprises, and encouraging participation from small and micro enterprises [14][15]. - Establishing new regulatory frameworks that balance development and safety is crucial for the sustainable growth of the smart economy, ensuring it benefits the entire population [15].

Core Viewpoint - The article emphasizes the importance of high-quality development during the "15th Five-Year Plan" period, highlighting the implementation of the "Artificial Intelligence +" initiative to drive innovation across various sectors and enhance the integration of AI with industry, culture, and social governance [2] Group 1: Historical Context of AI - Human fascination with artificial intelligence dates back thousands of years, with early references found in ancient myths and philosophical thoughts [3] - The modern concept of AI emerged in the mid-20th century, marked by the Dartmouth Conference in 1956, which established AI as a distinct field of study [4] Group 2: Evolution of AI - AI development can be categorized into three stages: rule-based programming in the early years, expert systems in the 70s and 80s, and data-driven learning from the 80s to the present [4] - The emergence of the intelligent economy is closely linked to advancements in AI technology, leading to innovations across various sectors [5] Group 3: Trends in Intelligent Economy - The "15th Five-Year Plan" period will see a transition from digital transformation to intelligent transformation across society, with generative AI evolving into intelligent agents capable of autonomous decision-making [6][8] - The intelligent economy will drive comprehensive upgrades in production methods and living scenarios, marking a shift from virtual service innovation to intelligent manufacturing [7][9] Group 4: Industry Development - The AI industry is expected to grow significantly, with projections indicating that the industry scale will exceed 700 billion yuan by 2024, covering various segments such as chips, computing power, and applications [9] - The emergence of AI-native companies is reshaping the industry landscape, contributing to a more integrated and advanced industrial system [9] Group 5: Strategies for AI Development - To promote high-quality AI development, it is essential to expand investments, enhance AI product scalability, and improve the quality of digital infrastructure [10][11] - Building a robust AI ecosystem requires integrating market forces, supporting leading enterprises, and encouraging participation from small and micro enterprises [11][12] - Establishing new regulatory frameworks that balance development and safety is crucial for the sustainable growth of the intelligent economy [12]

Core Insights - The "2025 Smart Media 50 People Conference" held in Chengdu focuses on the theme "Smart Media Empowering Parks, Integrating to Enhance Value" and showcases the commitment of mainstream media to embrace technological transformation [1][6] - The conference marks its fourth year and has attracted over a hundred experts from academia and leading media companies, highlighting the importance of AI integration in media [1][6] - The event featured the launch of the "Rain Swallow Communication Intelligent Platform" and several significant project signings, demonstrating the capabilities of mainstream media in the "Smart+" transformation [1][6] Industry Trends - The integration of AI technology into media is seen as a historical necessity, with the "Smart Media 50 People Conference" serving as a strategic initiative to explore this transformation [6][10] - The evolution of AI from a tool to an autonomous agent is reshaping media production relationships, indicating a shift towards "human-machine symbiosis" [2][8] - The concept of "Agentic Media" is anticipated to emerge by 2030, where AI will play a significant role in media operations, leading to a new theoretical framework [12][13] Technological Developments - The current phase of AI in media is characterized by early-stage research and application innovations, with a need for deeper understanding of AI's philosophical implications [8][10] - The future media landscape is expected to be built on advanced infrastructure, including supercomputing centers and large-scale databases, fundamentally changing content production and distribution [12][13] - The interaction model will evolve to include machine-to-human and machine-to-machine communication, expanding the boundaries of media [12][13] Media's Role and Value - The core value of media professionals remains their influence on society, which will be enhanced by AI, allowing for more precise and impactful content production [11][10] - Understanding the interplay between AI and the economy is crucial for financial media to navigate the challenges and opportunities presented by technological advancements [10][11] - The transformation of media will not lead to job losses but will create new roles and opportunities as the industry adapts to AI integration [12]

Core Insights - The 2025 World Mobile Communication Conference has opened in Doha, Qatar, focusing on themes such as artificial intelligence hubs and smart economy [1] - Participants are discussing how to accelerate digital transformation in the Middle East and North Africa region [1] Group 1 - The conference lasts for two days and emphasizes the importance of digitalization in the region [1] - Key topics include the role of artificial intelligence in enhancing economic growth and digital infrastructure [1] - The event serves as a platform for stakeholders to collaborate on advancing technological initiatives [1]

Core Viewpoint - The article emphasizes the importance of building a unified national market to enhance domestic demand and drive economic growth in China, particularly in the context of the 14th Five-Year Plan [1]. Group 1: Market Potential and Economic Structure - China's super-large market is characterized by a steadily expanding middle-income group, advanced digital infrastructure, and a well-defined regional development pattern, which together create a robust economic ecosystem [1]. - The current population of over 1.4 billion is projected to see the middle-income group exceed 800 million in the next decade, indicating significant market potential [1]. - The diverse and tiered demand from various demographics, such as the elderly seeking health services and the younger generation desiring personalized experiences, provides ample opportunities for innovation and industrial upgrades [1]. Group 2: Reform and Demand Transformation - To convert market potential into effective demand, it is essential to deepen reforms that eliminate barriers to economic circulation, such as local protectionism and market segmentation [2]. - The construction of a unified national market will facilitate smoother movement of goods and resources, allowing local products to access broader markets at lower costs and higher efficiency [2]. - The focus should be on enhancing supply quality and optimizing income distribution alongside expanding domestic demand, addressing the shift in consumer preferences from quantity to quality [2]. Group 3: Technological Empowerment - Technology plays a crucial role in unlocking new spaces for domestic demand, with China's vast data resources and highly digitalized consumption activities extending consumption scenarios [3]. - The development of the digital and smart economy promotes deeper integration of online and offline consumption, creating new consumer hotspots and transforming supply-demand matching [3]. - Utilizing big data allows companies to gain insights into subtle changes in consumer needs, enabling precise targeting and efficient supply, thus making the super-large market dynamic and capable of generating new demands [3].

Core Insights - The global landscape is undergoing profound adjustments, with a strong emphasis on technological innovation and the need for financial resources to support sectors like technology and advanced manufacturing [1][2] - Financial institutions are urged to embrace digital transformation driven by data elements and digital technologies, positioning themselves to better serve technological innovation [2][3] Group 1: Financial and Technological Integration - Financial resources should be directed towards promoting technological innovation and advanced manufacturing, as highlighted by the Deputy Governor of the Bank of Communications [1] - The dual empowerment of finance and technology is essential for high-quality industrial development, with financial institutions providing strong momentum for industrial prosperity [1][2] Group 2: Digital Transformation in Finance - Financial institutions must leverage the benefits of the new technological revolution, utilizing data elements and artificial intelligence to accelerate their digital transformation [2] - The integration of finance and technology is seen as a pathway to gather more financial resources towards technological innovation, fostering a collaborative industrial ecosystem [2] Group 3: Challenges and Opportunities in Smart Economy - The smart economy presents limitless development opportunities, but companies face challenges in balancing limited computing power with infinite innovation [3] - The application of large models in business requires overcoming challenges related to understanding business needs, which can be addressed through collaborative engineering efforts [3]