In the future of work discourse, AI is touted as the ultimate productivity amplifier. Yet, beneath the efficiency gains lie subtle erosions of human expertise and agency. This paper shifts focus from the future of work to the future of workers by navigating the AI-as-Amplifier Paradox: AI's dual role as enhancer and eroder, simultaneously strengthening performance while eroding underlying expertise. We present a year-long study on the longitudinal use of AI in a high-stakes workplace among cancer specialists. Initial operational gains hid ``intuition rust'': the gradual dulling of expert judgment. These asymptomatic effects evolved into chronic harms, such as skill atrophy and identity commoditization. Building on these findings, we offer a framework for dignified Human-AI interaction co-constructed with professional knowledge workers facing AI-induced skill erosion without traditional labor protections. The framework operationalizes sociotechnical immunity through dual-purpose mechanisms that serve institutional quality goals while building worker power to detect, contain, and recover from skill erosion, and preserve human identity. Evaluated across healthcare and software engineering, our work takes a foundational step toward dignified human-AI interaction futures by balancing productivity with the preservation of human expertise.

翻译：在工作未来的讨论中，人工智能常被誉为终极生产力放大器。然而，在效率提升的表象之下，潜藏着对人类专业能力与自主性的隐性侵蚀。本文通过探讨"AI作为放大器的悖论"——即AI同时扮演增强者与侵蚀者的双重角色，在提升绩效的同时削弱底层专业能力——将研究焦点从工作未来转向工作者未来。我们呈现了一项为期一年的纵向研究，追踪癌症专家在高风险工作环境中使用AI的情况。初步的操作性收益掩盖了"直觉锈蚀"现象：专家判断力的渐进性钝化。这些无症状效应逐渐演变为慢性危害，包括技能萎缩与身份商品化。基于这些发现，我们提出了一个尊严化人机交互框架，该框架与面临AI引发技能侵蚀却缺乏传统劳动保护的专业知识工作者共同构建。该框架通过双重功能机制实现社会技术免疫：既服务于机构质量目标，又增强工作者能力以检测、遏制并恢复技能侵蚀，同时维护人类身份认同。通过在医疗保健和软件工程领域的评估，我们的研究在平衡生产力与人类专业能力保存方面，为构建尊严化人机交互未来迈出了基础性的一步。