As AI systems take on greater autonomy, a quiet anxiety has settled over the HCI community: human agency is eroding. Users no longer control execution, interfaces recede, and machines decide. We argue that this anxiety, while understandable, reflects a framing problem rather than an empirical finding. Agency has not diminished but has relocated. As interaction has shifted from command- and feature-based paradigms toward conversational, generative, and agentic AI, human agency migrates from interface affordances to interaction itself: articulating goals, evaluating outputs, and negotiating outcomes. To make this relocation visible, we revisit control as a diagnostic lens, distinguish process control and outcome control, and map different systems across this space to show that what looks like agency's disappearance is actually its redistribution. We take seriously the objection that outcome-based agency may be illusory in systems that produce plausible but unverifiable outputs, and argue that this concern reveals what agency in human-AI interaction truly requires. This paper invites the CUI community to reconsider what agency means, where it lives, and what it demands, including who gets to have it and who holds responsibility when it fails, before the consequences become impossible to overlook.

翻译：随着AI系统获得更大自主性，人机交互领域弥漫着一种隐忧：人类能动性正在削弱。用户不再控制执行过程，界面逐渐隐退，机器开始自主决策。我们认为，这种担忧虽可理解，但反映的是框架问题而非经验事实。能动性并未减少，而是发生了转移。当交互从基于命令和特征的模式转向对话式、生成式和自主型AI时，人类能动性从界面可供性迁移至交互本身：目标阐述、输出评估与结果协商。为使这一转移可视化，我们重新审视控制作为诊断视角，区分过程控制与结果控制，并绘制不同系统在此空间中的分布图谱，表明看似能动性消失的现象实则是其再分配。我们严肃对待关于结果导向的能动性在产生似是而非但不可验证输出的系统中可能沦为幻觉的质疑，并指出这一关切恰恰揭示了人机交互中能动性真正需要的要素。本文邀请对话式用户界面研究社区重新思考：在后果变得不可忽视之前，能动性意味着什么、存在于何处、需要何种条件，以及谁应拥有它、在失效时谁应承担责任。