"十五五"时期是基本实现社会主义现代化承上启下的关键攻坚期。 尤其在国际环境复杂多变、国际规则深度重塑的大背景下，"十五五"规划建议的制定与实施，对于引领未来五年乃至更长远的经济社会发展方 向，有着无可替代的关键作用。 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》（以下简称"规划建议"）正式印发。规划建议系统 总结了"十四五"时期广东发展取得的重大成就，并对未来5年发展作出顶层设计和战略擘画。 面向"十五五"，广东列出了一份详实的"任务清单"。下一个五年，经济总量连续36年位居全国首位的广东站在了"要和自己比"的新节点上，提 出了内需拉动经济增长主动力作用持续增强、全面融入全国统一大市场、科技创新和产业创新深度融合等一系列目标。 南方财经记者梳理发现，在规划建议中，"产业"一词被提及多达109次，体现出产业建设在广东未来五年发展规划重点的核心地位。值得注意 的是，规划建议还首设8大"专栏"，鼓励发展低空经济、智能经济、首发经济、湾区经济、绿色经济、人文经济、体育经济、银发经济等八大 新经济业态。 打造三大核心动力源 "十四五"期间，广东地区生产总值突破14万亿元，区域创新 ...

Core Insights - Wenzhou aims to significantly enhance its urban capabilities during the "15th Five-Year Plan" period, establishing itself as a major regional center in the southeast coastal area and achieving decisive progress in building a model for common prosperity [1][4] - The city has crossed the GDP thresholds of 800 billion and 900 billion, with expectations to surpass 1 trillion this year, making it the third city in Zhejiang to reach this milestone after Hangzhou and Ningbo [1][4] - The focus is on developing the Wenzhou metropolitan area, integrating various functional systems such as transportation, technology, industry, ecology, and public services to drive high-quality collaborative development [1][5] Economic Development Goals - The Wenzhou municipal government has set a target for the urban area's attractiveness, leadership, radiation capacity, and sustainable development to significantly improve by 2030 [4] - The metropolitan area is expected to encompass Wenzhou and 24 surrounding counties, surpassing existing national urban agglomerations in scale and economic influence [5] Strategic Initiatives - The "Strong City Action" initiative aims to elevate the Wenzhou metropolitan area, focusing on creating a one-hour commuting circle and developing cross-regional industrial clusters [5] - The city plans to systematically advance the construction of the metropolitan area during the "15th Five-Year Plan" period, emphasizing innovation and talent attraction [1][5]

Core Insights - The Guangdong "14th Five-Year Plan" emphasizes the importance of industrial development, mentioning "industry" 109 times, and introduces eight new economic sectors for future growth [1] - The plan aims to create a modern industrial system with a focus on "technology and industry mutually reinforcing" and "building a modern industrial system" [1] Group 1: New Economic Sectors - The eight new economic sectors include low-altitude economy, smart economy, primary economy, bay area economy, green economy, cultural economy, sports economy, and silver economy, which are designed to foster international competitiveness [1] - The low-altitude economy is highlighted as the first sector, focusing on low-cost, high-frequency, and reliable low-altitude flights, with a goal to develop infrastructure and a smart network system across the province [2] - The smart economy emphasizes the integration of data, computing power, and large models to innovate smart terminal products and promote AI applications, aiming to create a new model of human-machine collaboration [3] Group 2: Strategic Actions - The plan outlines specific actions for modernizing the industrial system, including nurturing emerging industries and future industries, and implementing innovation projects [4] - Key industries targeted for development include new energy, new materials, commercial aerospace, and low-altitude economy, with a focus on strengthening sectors like new energy vehicles, integrated circuits, and medical devices [4] - The plan also aims to explore new economic growth points in quantum technology, biomanufacturing, hydrogen energy, and brain-machine interfaces, while promoting the development of specialized small and medium enterprises [5]

Group 1 - The core viewpoint of the document emphasizes the importance of artificial intelligence (AI) in building a strong manufacturing province and a digital Guangdong, advocating for the development of an intelligent economy and society [2][3] - The document outlines the strategic opportunities and challenges faced by Guangdong during the 14th Five-Year Plan period, highlighting the need to leverage disruptive technologies like AI to foster new industries and business models [2] - It calls for the establishment of a modern industrial system with international competitiveness, focusing on high-quality manufacturing and the creation of large-scale industrial clusters in AI and robotics [2][4] Group 2 - The document proposes advancing the construction of a digital Guangdong by integrating data, computing power, algorithms, and applications, and emphasizes the need for a robust data market and high-quality data sets [3] - It highlights the importance of building a comprehensive intelligent computing network across the province and fostering innovation in algorithm technology to support the development of native technologies and services [3][4] - The document stresses the need for a coordinated approach to high-quality development and safety, including enhancing national security capabilities in emerging fields such as AI and data [5]

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]

Group 1 - The core viewpoint emphasizes the strategic importance of implementing the "Artificial Intelligence +" initiative to integrate AI with various sectors, aiming to reshape production and living paradigms and drive a revolutionary leap in productivity and social relations [1] - AI is identified as a strategic technology leading a new round of technological revolution and industrial transformation, with China needing breakthroughs in foundational theories and key technologies to seize opportunities in AI development [1][2] - The initiative aims to leverage China's complete industrial system, vast market scale, and rich application scenarios to accelerate the growth of AI technologies through practical applications, fostering a virtuous cycle of innovation and application [1] Group 2 - The reduction in training costs for large models and advancements in multimodal integration are facilitating the transition of AI from laboratories to everyday life, creating numerous new development opportunities [2] - Countries are increasingly formulating AI development strategies, leading to the emergence of new fields such as autonomous driving and humanoid robots, which could reshape the global economic landscape [2] - The "Artificial Intelligence +" initiative is designed to strengthen the application-oriented development of AI technologies and promote large-scale commercialization of AI products and services [2] Group 3 - The rapid growth of generative AI products and the expansion of application scenarios are advancing the transition from digitalization to intelligentization in China [3] - The digital economy's core industries are projected to account for approximately 10% of GDP in 2024, with the national data market transaction scale exceeding 160 billion yuan, reflecting a growth of over 30% from 2023 [3] - The initiative aims to integrate AI into various economic and social development areas, promoting deep fusion and accelerating the establishment of a new intelligent development landscape [3] Group 4 - The commercialization and large-scale application of AI is a long-term and complex system project that requires broad collaboration through the "Artificial Intelligence +" initiative [4] - Key areas of focus include strengthening foundational research, supporting diverse technological explorations, and developing a self-controlled AI infrastructure [4] - The initiative also emphasizes the importance of talent cultivation, financial support, and the establishment of legal frameworks to ensure the safe and reliable development of AI technologies [4]

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]