Generative Artificial Intelligence (GenAI) is reshaping creative labor by enabling the rapid production of text, images, and videos. On YouTube, creators are developing new ways to leverage these tools and share knowledge about how to pursue income through such strategies. However, little is known about what GenAI knowledge has been collectively constructed around monetizing GenAI as a community practice of acting both with and against algorithmically mediated platforms. We analyze 377 YouTube videos in which creators publicly promote workflows, revenue claims, and monetization strategies for GenAI-enabled content. Our analysis identifies ten shared use cases that frame AI-supported income opportunities, and examines how this GenAI knowledge repository embodies a collective effort to leverage platform infrastructures for monetization -- including advertising, direct sales, affiliate marketing, and revenue-sharing models. We further surface structural tensions in AI-mediated creative labor, including unverifiable income claims, content misappropriation, synthetic engagement practices, and shifting authorship norms. We conceptualize creators' collective understanding and adoption of GenAI in the context of monetizing creative labor, with implications for the design of creator-centered GenAI technologies and responsible platform policy.

翻译：生成式人工智能（GenAI）正通过实现文本、图像和视频的快速生产重塑创意劳动。在YouTube平台上，创作者正在开发利用这些工具的新方法，并分享如何通过此类策略获取收入的知识。然而，对于围绕生成式AI变现作为社群实践（既利用又对抗算法中介平台）所构建的集体知识体系，目前知之甚少。我们分析了377个YouTube视频，其中创作者公开推广生成式AI内容的工作流程、收益声明和变现策略。我们的分析识别了十个界定AI辅助收入机会的共享用例，并考察了这一生成式AI知识库如何体现利用平台基础设施实现变现的集体努力——包括广告、直接销售、联盟营销和收入分成模式。我们进一步揭示了AI中介创意劳动中的结构性张力，包括无法验证的收入声明、内容盗用、合成互动行为以及不断变化的作者身份规范。我们将创作者在创意劳动变现背景下对生成式AI的集体理解与采纳概念化，这对以创作者为中心的生成式AI技术设计及负责任的平台政策具有启示意义。