The convergence of large language models that automate cognitive labor and deep reinforcement learning agents that automate physical labor implies the near-complete elimination of human employment. The universal approximation theorem and foundational DRL results establish that all labor is in principle automatable. The critical question is not whether full automation will arrive, but who will control it. This paper introduces peaceful anarcho-accelerationism: a sociotechnical framework ensuring that full automation is decentralized, commons-governed, and oriented toward universal care. We propose the Liberation Stack, a layered architecture of energy, manufacturing, food, communication, knowledge, and governance commons built on open-source technologies. We show that this framework builds bridges with liberalism, socialism, environmentalism, feminism, cooperativism, and the hacker ethic. Empirical evidence from Linux, Wikipedia, Mondragon, Rojava, and guifi.net confirms that commons-based systems already operate at scale. We argue that full automation renders money obsolete and propose Universal Desired Resources (UDR), a post-monetary design principle where every person requests what they need from the robotic commons, constrained only by ecological sustainability. Drawing on the independence of phenomenal consciousness from computational intelligence, we establish that delegating labor to non-conscious machines is care at civilizational scale, and that moral policy can be studied through deep reinforcement learning. We conclude with a phased roadmap toward the care-centered society, including milestones, assumptions, and limitations.