泛娱乐 AI 赛道观察： 从「猜你喜欢」到参与共创，角色才是 AI 时代最核心的资产

Core Viewpoint - The article emphasizes that user demand for quality content and social experiences remains unchanged, and AI serves as a productivity tool that alters the delivery logic of quality content, enabling personalized experiences and providing enjoyment through co-creation among developers, AI, and users [7][9]. Group 1: User-Product-AI Relationship - The introduction of Generative AI transforms the traditional binary relationship of product and user into a triadic relationship involving user, product, and AI, necessitating a redesign of experiences around personalization [11]. - Users are no longer passive recipients but active co-creators in the content generation process, leading to the emergence of new roles: "co-creators" and "producers" [11][21]. - The shift in user identity influences their expectations and the type of experiences they seek, with a spectrum of engagement from complete input to passive consumption [12][14]. Group 2: User Engagement and Experience - The article identifies two primary user mindsets: "producers," who enjoy the surprise of generated content, and "co-creators," who focus on the creative process and self-expression [21][40]. - The experience of "production" is likened to casual play, where users can generate content with minimal input, while "co-creation" involves deeper engagement and emotional investment [22][40]. - The potential for community-driven co-creation is highlighted, suggesting that user-generated content can lead to a richer and more engaging experience [47]. Group 3: Challenges and Opportunities - The article discusses the challenges of relying solely on user-generated content, noting that not all users possess the skills or clarity of demand to create meaningful contributions [18][20]. - It also points out that while AI can lower barriers for content creation, it may not adequately address the nuanced needs of skilled creators who seek control and quality [18][19]. - The need for a robust framework that supports long-term engagement through character development and social connections is emphasized, as mere casual generation may not sustain user interest [26][39]. Group 4: Future Directions - The article suggests that future products should focus on building character assets and community engagement to enhance the longevity and depth of user experiences [50]. - It proposes that successful applications will integrate user-generated content with AI capabilities to create a seamless and enjoyable experience, fostering a sense of ownership and connection among users [50][51]. - The potential for AI to facilitate emotional connections and social interactions is explored, indicating a shift towards more personalized and meaningful user experiences [68][70].