AI is not only a neutral tool in team settings; it actively reshapes the social and cognitive fabric of collaboration. We advance a unified framework of alignment in distributed cognition in human-AI teams -- a process through which linguistic, cognitive, and social coordination emerge as human and AI agents co-construct a shared representational space. Across two studies, we show that exposure to AI-generated language shapes not only how people speak, but also how they think, what they attend to, and how they relate to each other. Together, these findings reveal how AI participation reorganizes the distributed cognitive architecture of teams: AI systems function as implicit social forcefields. Our findings highlight the double-edged impact of AI: the same mechanisms that enable efficient collaboration can also erode epistemic diversity and undermine natural alignment processes. We argue for rethinking AI in teams as a socially influential actor and call for new design paradigms that foreground transparency, controllability, and group-level dynamics to foster responsible, productive human-AI collaboration.

翻译：人工智能在团队环境中并非仅是中立的工具；它积极地重塑了协作的社会与认知结构。我们提出了一个关于人机团队中分布式认知对齐的统一框架——这一过程通过语言、认知和社会的协调，使人类与人工智能智能体共同构建一个共享的表征空间。通过两项研究，我们表明接触人工智能生成的语言不仅影响人们的表达方式，还塑造了他们的思维方式、关注焦点以及彼此间的互动关系。这些发现共同揭示了人工智能参与如何重组团队的分布式认知架构：人工智能系统发挥着隐性的社会力场作用。我们的研究结果凸显了人工智能的双刃剑效应：那些促进高效协作的机制，同样可能削弱认知多样性并破坏自然的对齐过程。我们主张将团队中的人工智能重新视为具有社会影响力的行动者，并呼吁建立新的设计范式，强调透明度、可控性和群体层面的动态，以促进负责任、高效的人机协作。