Generative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than coordinated into collaborative work. Whether GenAI can move from individual use to collaborative work is a critical question for future organizations. Journalism offers a compelling site to examine this shift: individual journalists have already been disrupted by GenAI tools; yet newswork is inherently collaborative relying on shared norms and coordinated workflows. We conducted 27 interviews with newsroom managers, editors and front-line journalists in China. We found that journalists frequently used GenAI to support daily tasks, but value alignment was safeguarded mainly through individual discretion. At the organizational level, GenAI use remained disconnected from team workflows, hindered by structural barriers and cultural reluctance to share practices. These findings underscore the gap between individual and collaborative work, pointing to the need to account for organizational structures, cultural norms, and workflow when coordinating GenAI for collaborative work.

翻译：生成式人工智能（GenAI）正在重塑工作方式，但其应用目前仍主要停留在个人化、实验性的层面，尚未被有效整合到协同工作中。生成式人工智能能否从个人使用转向协同工作，是未来组织面临的关键问题。新闻业为考察这一转变提供了极具价值的研究场域：个体记者已受到生成式人工智能工具的冲击；然而新闻工作本质上是协作性的，依赖于共享规范和协调的工作流程。我们对中国新闻机构的27名管理者、编辑和一线记者进行了访谈。研究发现，记者们经常使用生成式人工智能辅助日常任务，但价值对齐主要依靠个人判断来保障。在组织层面，生成式人工智能的使用仍与团队工作流程脱节，受到结构性障碍及不愿分享实践的文化阻力所制约。这些发现凸显了个人工作与协同工作之间的鸿沟，表明在协调生成式人工智能用于协同工作时，必须充分考虑组织结构、文化规范和工作流程。