2025全球文化IP产业发展大会于2025年12月26—27日在上海举行，主题为"IP无界·智创未来——文化IP 与科技融合的全球化探索"。 香港理工大学创新设计研究院院长刘曦卉在大会分享中表示，文博文旅IP的品牌体系建设，正在从"内 容展示"走向"智能运营"。通过垂直领域智能体能力，可在资源梳理、资产化管理、内容生产、场景触 达与合作联名等环节形成提效与标准化，帮助文化资源以更体系化方式进入公众生活。 刘曦卉指出，智能体赋能的关键在于"垂直、可落地、可复用"，既要能沉淀文化资产，也要能输出品牌 能力与合作机制，推动文博文旅IP在商业化与公共服务之间实现可持续平衡，并在联名衍生、节气内容 等场景中形成持续影响力。 以下为发言摘录： 刘曦卉（香港理工大学创新设计研究院院长）：大家下午好！我今天的分享聚焦一个关键词：垂直智能 体。我们在文博文旅领域常常会遇到一个现实问题：大家都在谈AI，但真正落地时，往往卡在"专业流 程不匹配""数据与内容无法结构化""团队缺少工具链""商业模式难以闭环"。因此我们提出离火AI的方 向：不是做一个泛泛的通用工具，而是围绕文博文旅IP的真实工作流，构建一套可落地、可实施、可运 营的 ...

Core Insights - The 2025 Global Cultural IP Industry Development Conference will be held in Shanghai on December 26-27, 2025, focusing on the theme "IP Without Boundaries: Intelligent Creation of the Future - Global Exploration of Cultural IP and Technology Integration" [1][6] - Liu Xihui, a representative from Lihuo AI, emphasized that the brand system construction of cultural and tourism IP is transitioning from "content display" to "intelligent operation" [1][6] - The key to empowering intelligent systems lies in being "vertical, implementable, and reusable," which helps cultural resources enter public life in a more systematic way [1][6] Group 1: Intelligent Systems in Cultural IP - The proposed vertical intelligent system aims to address real-world challenges in the cultural and tourism sector, such as mismatched professional processes and unstructured data [4][12] - The system is designed to create a closed-loop from IP to commercial transformation, enhancing content discovery, immersive experiences, and sustainable product development [4][12] Group 2: Implementation Strategies - A cross-disciplinary team is essential for the system's implementation, covering areas like digital media, AR/VR, and cultural content [5][13] - The system will include matching and evaluation mechanisms to help organizations quickly determine the best transformation paths for different IPs [5][13] - The goal is to create a platform that enhances the efficiency, reliability, and sustainability of cultural and tourism IP innovation and commercialization [5][13]

Core Insights - The focus of artificial intelligence is shifting from general models to "vertical intelligent agents" that can deeply engage with specific industries, marking a new competitive landscape in AI applications, particularly in the Chinese real estate sector [1] - Deep Intelligence has established a clear development path with its "AI + Real Estate" strategy, aiming to enhance quality and efficiency in the real estate industry [1][2] Group 1: Strategic Framework - Deep Intelligence introduced the "Real Estate AI-Ready" strategy, which is built on "one exclusive space, four core capabilities, and three application scenarios," presenting a comprehensive system-level solution [2][3] - The intelligent architecture supporting this strategy includes a "Real Estate Brain" that allows all AI applications to share and evolve, ensuring consistency and professionalism from strategy to execution [3] Group 2: Core Capabilities - The four core capabilities include a database, knowledge base, expert repository, and engineering capability, forming a dedicated AI space for real estate [4] - The data moat will upgrade a vast, multidimensional dataset accumulated over 20 years into a structured database that AI models can read, providing reliable data for intelligent decision-making [4] - The knowledge moat will transform unstructured knowledge into traceable, verifiable, and inferable "industry secrets," ensuring AI outputs reflect professional language [4] - The industry moat will incorporate expert "thinking models" into AI, enabling it to understand business at an expert level [4] - The technology moat will integrate cutting-edge AI capabilities, such as the Agentic architecture, into specific products [4] Group 3: Product Offerings - Deep Intelligence has launched eight products covering three major application scenarios in real estate, including the CRIC2025 platform for decision-making and the "Digital Employee" for talent structure optimization [5][4] - These products aim to transform traditional data querying and manual analysis into automated workflows that deliver deep analytical reports [5] Group 4: Industry Trends - The shift towards vertical industry models is seen as a precursor to a new wave of AI application, with AI becoming integral to various sectors [9] - Companies are realizing that the speed of AI's impact on business is determined by their own transformation pace rather than just technological advancements [9][10] - Data quality is identified as a significant barrier to AI implementation in the real estate sector, affecting the entire industry [11] Group 5: Future Outlook - Deep Intelligence aims to be a reliable "co-builder" and "enabler" in the industry, continuously strengthening its professional moat and iterating on application products [11] - The company plans to open its core capabilities and interfaces to allow broader access to AI tools, fostering more applications in real estate [11] - A prediction is made that 2026 will be a breakout year for vertical industry AI applications in China [11]

Core Insights - The integration of general AI models into various industries is establishing a foundational technology for digital applications, but challenges in "scene adaptability" are emerging in specialized fields like financial and tax management [1] - The emergence of vertical AI models signifies a shift from "general cognition" to "professional understanding," with a focus on enhancing the execution of business processes [1] - Over 70% of enterprises are prioritizing the development of vertical intelligent agents, indicating a consensus on the need for in-depth scene-specific technology [1] Industry Dynamics - The financial and tax sectors are seen as a testing ground for AI's vertical capabilities due to their complex regulatory and data environments [2] - A dual-track strategy combining "general capability foundation + vertical fine-tuning" is becoming mainstream, enhancing AI's execution precision in specialized scenarios [2] - The approach taken by companies like Weifengqi, which focuses on integrating policy, business, and data, exemplifies the practical application of vertical intelligent agents in the financial sector [2][3] Technological Innovations - Weifengqi's financial and tax vertical intelligent agent utilizes a self-developed vertical model that combines general capabilities with scene-specific fine-tuning, improving adaptability to complex business scenarios [3] - The shift in technology competition from "computational power" to "scene cultivation" is redefining the boundaries of professional services in the financial and tax sectors [3][4] - The transformation towards AI-driven services is expected to lead to three major trends: intelligent and precise policy analysis, proactive risk prevention, and scenario-based decision support [3] Future Outlook - The rise of financial and tax vertical intelligent agents marks a new phase in industry digitalization, focusing on "value creation" [4] - Companies like Weifengqi are paving a differentiated path for professional services through the integration of general technology and vertical scene innovation [4] - As more similar practices emerge, vertical intelligent agents may redefine industry competition rules, positioning AI as a core driver of professional service upgrades [4]

Core Insights - The year 2025 is widely recognized as the year of intelligent agents, with companies increasingly betting on this technology for survival [2] - Youyi Technology, established in 2007 and focused on MarTech, has begun exploring intelligent agent business since last year, raising questions about opportunities for a marketing-centric company in this domain [2] Group 1: Market Dynamics - AI search is expected to significantly impact internet operations, particularly for Gen Z users who are native to AI, making AI search a crucial aspect of brand communication [2] - As AI search becomes more prevalent, Generative Engine Optimization (GEO) will become a core focus for brand communication, replacing traditional SEO [2] Group 2: GEO Effectiveness - GEO's effectiveness can be assessed by predicting market demand and verifying whether communication content is indexed by large models, which is a key selling point of Youyi Technology's new GEO intelligent agent [4] - Youyi Technology has developed a multi-layered rule engine to simulate the indexing processes of mainstream large models, allowing for dynamic adjustments and validation strategies [4][5] Group 3: Market Potential - The AI search market is projected to reach $360 billion by 2029, with GEO expected to capture a portion of this market as a service provider [6][7] - The technology barrier for GEO is higher than traditional SEO, as the indexing and citation rules of large models are opaque, requiring GEO service providers to validate content through simulation testing [5] Group 4: Algorithm Fairness - The challenge of algorithm fairness arises as GEO aims to optimize algorithm results for brand enterprises, with concerns about the commercial viability of Youyi Technology's GEO intelligent agent still in early stages [7][8] - Some AI search platforms are proactively regulating advertising content to ensure user respect and content safety, indicating a shift in how advertising is integrated into AI-generated content [8] Group 5: Future Outlook - The future of GEO intelligent agents as a marketing vertical is still uncertain and will depend on collaboration among users, brands, and AI search platforms [9]