Foundational results in machine learning establish that all human labor may in principle be automatable. Without deliberate intervention, this trajectory risks concentrating productive capacity in a handful of corporations, resulting in techno-feudalism: mass economic redundancy, surveillance-based control and dependence on corporate benevolence for survival. To avert this outcome, this paper introduces anarchist automation, a rigorously defined sociotechnical framework grounded in the 200-year anarchist tradition from Godwin through Kropotkin to Bookchin for ensuring that full automation is decentralized and oriented toward universal care. Specifically, I state five formal hypotheses and six research objectives, present a formal definition through analytical categories of interdependent spheres, and propose the Liberation Stack as a layered technical architecture with explicit preconditions and gate conditions for each layer, incorporating crypto-economic coordination tools appropriated from the crypto-anarchist tradition for commons financing and governance. Furthermore, I introduce Universal Desired Resources as a post-monetary design principle that eliminates the material basis of intersectional oppression, and address the Mises-Hayek economic calculation problem by arguing that AI-based distributed optimization and federated preference elicitation can substitute for market price signals under conditions of material abundance. I develop a framework for progressive state dissolution through incremental, reversible commons-building compatible with existing democratic institutions. Empirical evidence from Linux, Mondragon and contemporary commons initiatives confirms that commons-based systems already operate at scale. Finally, I conclude with a phased roadmap specifying explicit assumptions, hard constraints, gate conditions between phases, and detailed limitations.

翻译：机器学习的基础结果表明，原则上所有人类劳动均可实现自动化。若无审慎干预，这一趋势将使生产能力集中于少数企业，导致技术封建主义：大规模经济冗余、基于监控的控制体系以及民众生存依赖于企业善行。为规避此结局，本文提出"无政府主义自动化"框架——基于戈德温至克鲁泡特金及布克金的二百年无政府主义传统，严格定义的社会技术体系，旨在确保完全自动化系统实现去中心化且以普遍关怀为导向。具体而言，本文提出五项形式化假设与六项研究目标，通过相互依存的领域分析范畴呈现形式化定义，并构建"解放堆栈"分层技术架构——为各层级设定明确的先决条件与门控条件，整合从加密无政府主义传统中汲取的加密经济协调工具以支持公共资源融资与治理。进一步地，本文提出"通用期望资源"这一后货币设计原则，通过消除交叉压迫的物质基础，并论证基于AI的分布式优化与联邦偏好获取可在物质丰裕条件下替代市场价格信号，以解决米塞斯-哈耶克经济计算问题。同时发展出渐进式国家消解框架，通过增量式、可逆的公共资源构建与现有民主制度兼容。Linux系统、蒙德拉贡联合体及当代公共资源倡议的经验证据表明，公有资源系统已具备规模化运作能力。最终，本文提出分阶段路线图，明确各阶段的假设前提、硬约束条件、阶段间门控条件及详细局限性说明。