第 1页 共 4页 政策研究报告：中国提振消费的战略选择与 国际经验，提振消费、扩大内需-国泰海通 证券 一、研究背景评估 二、范围与边界确认 三、核心摘要提炼 四、关键数据抓取与呈现 五、风险与机遇诊断 第 2页 共 4页 1. 研究背景评估 | 评估维度 | 说明 | | --- | --- | | 研究机构 | 网易传媒 & 知萌咨询 | | 权威性说明 | 网易传媒是国内领先的内容平台，深耕 AI 与内容营销实践；知萌咨询是长期专注消 费趋势的专业机构，自 2017 年起连续发布《中国消费趋势报告》，在趋势研究与战 | | | 略咨询领域具有行业公信力。双方联合发布，报告兼具产业实践与学术深度。 | | 样本数量 | 未披露独立调研样本量，数据综合自 CNNIC、消费趋势报告、公开财报等。 | | 研究时间范围 | 核心数据截至 2025 年底，案例及趋势展望至 2026 年。 | | 时效性评估 | 面向 2026 年趋势预测，数据较新，具备强前瞻性。 | 二、范围与边界确认 | 维度 | 说明 | | | --- | --- | --- | | 研究主题 | AI 驱动的内容营销战略转型与六大趋势 ...

报告共计：47页 随着人工智能技术步入深水区，其影响力正穿透各行各业的表层应用，触及运营与创造的核心。内容营销领域，一场由AI驱动 的系统性重构已然拉开帷幕。近期一份行业趋势报告指出，至2026年，内容营销的核心命题将发生根本性转变：从过去追逐单 点"爆款"的流量思维，全面转向如何构建一个能持续产出高价值内容、并与用户建立深度情感连接的体系化能力。 今天分享的是：2026年AI内容营销六大趋势报告 报告揭示，当前消费者的决策逻辑日益依赖情绪价值。内容不再仅是信息载体或销售工具，更演变为引发共鸣、构建长期关系 的关键纽带。用户渴望内容能够"理解我、回应我、陪伴我"。这一深刻变化，宣告了依赖灵感激荡和流量红利的传统营销模式 日渐式微。品牌面临的核心挑战，升级为如何打造可持续的优质内容生产力。而人工智能的深远意义正在于此——它不仅是提 升效率的辅助工具，更在重塑内容生产的底层逻辑，推动其从"一次性创作"转向"持续生成"，从"工具辅助"演进为"人机共智"， 最终沉淀为可复用、可迭代的数字品牌资产。因此，AI正成为品牌未来内容体系不可或缺的核心基础设施与创新引擎。 报告进一步系统梳理了AI内容营销的几大关键演进方向。首 ...

Investment Rating - The report does not explicitly state an investment rating for the industry. Core Insights - The integration of AI in content marketing is transforming the industry, shifting from efficiency tools to becoming the "second brain" for creative production and brand expression [15][21][23]. - AI is evolving from a tool for generating content to a core driver of creative production, enabling brands to produce high-quality, multi-modal content [23][24]. - The focus of competition is shifting from superficial creative contests to building a robust "multi-modal brand corpus" that AI can understand and utilize [11][12]. Summary by Sections AI-Driven Content Marketing - The report highlights the transition of AI from a mere efficiency tool to a central figure in creative production, allowing brands to engage in deeper emotional connections with users [15][21]. - AI's role is evolving to encompass not just content generation but also understanding brand aesthetics and conveying brand values effectively [23][24]. New Creative Standards - The report emphasizes the need for AI systems to deeply understand brand tone, visual style, and core values to ensure consistent brand expression [27]. - AI's capabilities are expanding to include semantic understanding, aesthetic consistency, and alignment with brand values [29]. Content Production Efficiency - AI is significantly reducing the time and cost associated with content production, enabling rapid generation of diverse content tailored for various platforms [30][31]. - Traditional content production timelines are being compressed from weeks to days, allowing brands to respond quickly to market trends [30][31]. Contextual Marketing Shift - The report notes a shift from static user profiling to real-time contextual understanding, enabling brands to create personalized content that resonates with users' immediate needs [32][33]. - AI's ability to generate content based on real-time user context is becoming crucial for effective marketing strategies [35][36]. Human-AI Collaboration - The concept of "human-machine co-intelligence" is introduced, where humans set strategic directions while AI enhances creative boundaries and execution efficiency [37][38]. - This collaboration aims to produce innovative outcomes that neither humans nor AI could achieve alone [43][44]. AI Content Generation Innovations - The report discusses the emergence of multi-modal content forms, such as interactive narratives and AI-generated videos, which enhance user engagement [46][47]. - AI is enabling brands to create immersive experiences that transform traditional content consumption into participatory interactions [50][51]. Challenges in AI Content Marketing - The report identifies four core challenges: inconsistency in content quality, content homogenization, difficulties in maintaining brand alignment, and high costs of manual content review [55][56][61]. - Brands face a growing imbalance between the demand for rapid content production and the limitations of traditional content creation processes [61][62]. 千梦引擎 (Qianmeng Engine) - The Qianmeng Engine is introduced as a comprehensive AI creative engine designed to facilitate the entire content marketing process, from creative generation to large-scale distribution [74][75]. - It aims to provide brands with a platform that combines powerful AI capabilities with human creativity to produce emotionally resonant content [74][75].

Core Insights - Shenzhen Today Talent Information Technology Co., Ltd. launched two enterprise-level AI digital employee products, "Meeting Master" and "Sales Master," at the Huawei 828 B2B Enterprise Festival, marking a significant expansion of its AI capabilities into various industries [1][2] - The company has established an "AI Digital Employee Scenario Laboratory" in collaboration with the Futian District government, aimed at optimizing AI employees across multiple sectors including government, corporate meetings, sales, and cultural tourism [2] Group 1 - The "Meeting Master" product addresses corporate meeting management challenges with a "Four Stages and Eighteen Steps" methodology, ensuring comprehensive management from preparation to post-meeting follow-up [1] - The "Sales Master" integrates the global leading Leads to Cash (LTC) process with insights from over 300 small and medium-sized enterprises in China, offering a "Seven Stages and Thirty-Six Steps" method to enhance opportunity identification and sales efficiency [1] Group 2 - The collaboration with the Futian District aims to create standardized, reusable AI employee templates, focusing on real-world scenarios for training and optimization [2] - The founder of Today Talent emphasized that each new AI employee created will generate a new job position, highlighting the "human-machine collaboration" model to enhance overall organizational efficiency and foster new technical talent [2] - The company is building a comprehensive pathway for productized and ecological AI employee deployment, addressing the challenge of AI implementation in industries and providing a new paradigm for Chinese enterprises transitioning from "digitalization" to "intelligentization" [2]

Core Insights - Dingjie Smart held the 2025 Smart Future Summit, unveiling new AI solutions aimed at enhancing enterprise digital transformation [1] - The year 2023 is recognized as the year of AI Agents, marking a shift from weak to strong AI capabilities in enterprise software [1][2] - Dingjie has developed a native PaaS platform, Athena, focusing on data intelligence and knowledge encapsulation, which has been applied across various industries [2] AI Solutions and Applications - The newly launched AI solutions include data intelligence and enterprise intelligence suites, four industrial software AI suites (ERP/PLM/MES/WMS+AI), AIOT command center, and industrial mechanism AI suite [1][2] - These solutions aim to break down information silos and enhance decision-making speed and accuracy for enterprises [2] - The integration of AI with industrial software is designed to improve efficiency across the entire supply chain, from R&D to logistics [2] Human-Centric AI Development - The development of AI is seen as a means to empower human creativity rather than replace human labor, allowing individuals to focus on higher-value tasks [3] - The vision for the future includes adaptive intelligent ecosystems where humans and their digital counterparts work together for improved productivity and quality of life [3] Research and Reports - The summit featured the release of the "2025 Generative AI Enterprise Application Practical Report," co-authored by Dingjie and Zhejiang University, analyzing ten key areas of generative AI applications in enterprises [5] - The report includes over 30 practical application cases and provides a blueprint for enterprises navigating the new operational landscape [5] Summit Highlights - The summit included three parallel forums focusing on AI technology applications in various business scenarios, with discussions on strategic choices and risk management [6] - An exhibition area showcased cutting-edge AI applications and innovations from Dingjie and partners like Huawei Cloud, illustrating the future of smart enterprises [6] - According to Dingjie’s estimates, smart factories could achieve a 25% increase in space utilization, a 150% increase in capacity, and a 15% reduction in overall costs [6]

Group 1 - The 2025 Guangdong-Hong Kong-Macao Student Information Technology Innovation Competition opened on May 24, featuring over 2,088 teams from more than 1,000 schools across the three regions [1] - The competition is themed "Creativity, Creation, Innovation, and Invention - Embracing a Beautiful Future of Human-Machine Intelligence" and aims to foster collaboration in science and technology education among students from Guangdong, Hong Kong, and Macao [1] - The event attracted around 20,000 spectators on the opening day, showcasing a significant interest in technological innovation among students [1] Group 2 - The competition introduced a "Guangdong-Hong Kong-Macao Joint Team" format, allowing students from different regions to form mixed teams, enhancing cross-border collaboration and exchange in science and technology education [2] - Participants are engaged in various projects, including a 3D artificial intelligence national defense challenge, which tests programming skills and teamwork [2] - The competition features five thematic tracks, including "Artificial Intelligence Applications," "Intelligent Robotics," "Creative Makers," "Computational Thinking," and "Digital Art," with a total of 24 participating projects [1]