Although organizations increasingly position AI adoption as a pathway to competitiveness and innovation, organizations' perspectives on productivity and efficiency often clash with workers' perspectives on AI's economic and social value. Through design workshops with 15 UX designers, we examine how AI adoption unfolds across individual, team, and organizational scales. At the individual level, designers weighed efficiency, skill development, and professional worth. At the team level, they negotiated collaboration, responsibility, and rigor. At the organizational level, adoption was shaped by compliance requirements and organizational norms. Across these scales, discourses of efficiency carried social and ethical dimensions of responsibility, trust, and autonomy. We view adoption as a site where roles, relationships, and power are reconfigured. We argue that AI adoption should be understood as a process of negotiating values, and call for future work examining how AI systems redistribute responsibility among team members, while understanding how such shifts could strengthen worker agency.

翻译：尽管组织日益将人工智能采纳视为提升竞争力和创新的途径，但组织对生产力和效率的视角常与工作者对人工智能经济及社会价值的认知产生冲突。通过与15位用户体验设计师开展设计研讨会，我们研究了人工智能采纳如何在个体、团队和组织三个层面展开。在个体层面，设计师需权衡效率、技能发展与专业价值；在团队层面，他们需协调协作关系、责任归属与工作严谨性；在组织层面，采纳过程受到合规要求与组织规范的制约。贯穿这些层面，关于效率的论述始终承载着责任、信任与自主性等社会伦理维度。我们将采纳过程视为角色重构、关系重组与权力再配置的场域。我们认为，人工智能采纳应被理解为价值协商的过程，并呼吁未来研究关注人工智能系统如何重新分配团队成员间的责任，同时深入理解这种转变如何增强工作者的主体性。