The emergence of AI-generated visual media has reconfigured the production– distribution relationship on Chinese short-video platforms. On the production side, AI reduces costs, diminishes the need for large teams, and lowers professional barriers through models, workflows, and computational power, enabling individuals to enter the field of content creation. Yet on the distribution side, such openness has not translated into formal innovation. Instead, through the combined effects of platform algorithms, short-video perceptual regimes, and gamified reward mechanisms, AI-generated content has increasingly converged toward a lightweight, highly stimulating, and easily replicable form. This convergence does not lead to an expansion of visual expressive freedom; rather, it facilitates the comprehensive migration of short-drama logic into AI-generated visual media. “Pleasure points,” hooks, upgrades, feedback, and conversion have become new organizing principles, while the narrative depth, authorial subjectivity, and aesthetic autonomy of traditional visual media continue to give way to platform calculability. At the same time, this convergence is also embedded in the technological logic of AI itself. Rather than generating images directly from lived experience, AI reconstructs and recombines existing data relations through probabilistic processes and formal collage, thereby naturally favoring high-frequency, stable, and readily deployable template-based syntax. AI-generated visual media, therefore, is no longer merely a new genre emerging under new technological conditions, but also a concentrated manifestation of the convergence toward visual templateization in the platform era.

AI影像的出现，重构了中国短视频平台的生产—分发关系。它在生产端通过模型、工 作流与算力压缩成本、削弱团队规模、降低专业门槛，使个体得以进入创作，但在传播 端，这种开放并未转化为形式创新，反而在平台算法、短视频知觉与游戏化奖励机制的共 同作用下，加速收敛为一种轻量化、强刺激、易复制的内容形态。然而，这并未带来影像 表达的自由扩张，而侧面造成短剧逻辑向生成影像的全面迁移——爽点、钩子、升级、反 馈与转化构成新的组织原则，传统影像的叙事厚度、作者主体性与审美自主性则持续让位 于平台可计算性。与此同时，这种收敛也内生于AI的技术逻辑本身：它并非从现实经验中 生成影像，而是对既有数据关系进行概率重组与形式拼贴，因此天然更趋向高频、稳定、 可调用的模板句法。所以，AI影像便不再只是新技术条件下的新类型，更是平台时代影像 模板化收敛的集中表征。

【目 录】
【摘要】
1. 引言
2. 生产开放：中国AI影像生产机制的结构性转向
3. 传播收敛：平台算法下的中国AI影像传播特性
4. AI影像的技术内在性：从索引影像到动画影像
【参考文献】
【논문초록】

• 赵倪聪(中国浙江省金华市浙江师范大学) | 자오니충
• 陈雨菲(中国浙江杭州市浙江艺术职业学院) | 천위페이 Corresponding author