AI is not only a neutral tool in team settings; it influence the social and cognitive fabric of collaboration. Across two randomized experiments, we demonstrate that AI exposure produces causal spillover into human-human interaction -- affecting shared language, collective attention, shared mental models, and social cohesion. These spillover effects occur robustly across settings, modalities, tasks, and AI qualities, suggesting that mere exposure to AI drives the influence. AI functions as an implicit ``social forcefield,'' influencing not only how people speak, but also how they think, what they attend to, and how they relate to each other. We argue for shifting the design paradigm from optimizing ``AI as a tool'' to understanding AI as a socially influential actor whose effects extend beyond the human-AI interface.

翻译：人工智能在团队环境中并非是一个中性工具；它会深刻影响协作的社会与认知结构。通过两项随机实验，我们证明人工智能的暴露会在人际互动中产生因果性外溢效应——影响共享语言、集体注意力、共享心理模型以及社会凝聚力。这些外溢效应在不同环境、模态、任务和人工智能质量条件下均稳健出现，表明仅凭对人工智能的暴露就能驱动这种影响力。人工智能发挥了一种隐性的"社会力场"作用，不仅影响人们的说话方式，还影响其思维方式、注意力分配以及彼此之间的关联方式。我们主张将设计范式从优化"作为工具的人工智能"转向理解人工智能作为具有社会影响力的行动者，其影响范围超越人机交互界面本身。