<p>Modernity, including green technology and energy, requires extensive use of minerals and metals. Finite resources, geopolitical instability, and broader sustainability concerns can be mitigated with circular economy practices. A core aspect of the circular economy is recycling, especially for end-of-life materials and products. Recycling eases many concerns for metals depletion and sourcing vulnerability. Yet, recycling faces multiple behavioral, economic, and technological challenges and requires innovative solutions. Artificial intelligence (AI) offers opportunities to address these challenges. Thus, we investigate AI in metals end-of-life management. We complete this investigation by drawing on previous empirical research studies. These studies are still relatively limited and nascent, but enough knowledge exists to glean patterns and a prospective future. Given the complexity of issues and broad-based AI applications to metals end-of-life processing, we first introduce an end-of-life processing framework to synthesize and evaluate the literature. We also propose a future vision—an <i>Intelligent Metals Circularity</i> future—using prospective theorizing. The framework, theory, and evaluation provide a broad-based future research and practical development agenda for the metal recycling industry and the multiplicity of circular economy stakeholders.</p>