Universal Shape of Thought presents MetaMould as a structural-first approach to artificial intelligence, arguing that today’s statistical AI often predicts tokens without genuine awareness, reasoning, or moral grounding. The presentation proposes that the bottleneck is not only machine capability but the human operator’s lack of foundational structural order. MetaMould introduces a graph-native architecture, ULiAct, built around Being, Belonging, and Becoming: the dot, line, and plane of cognition. These elements form a universal “shape of thought” that precedes language, symbols, and downstream computation. Through examples from space, agriculture, music, and decision workflows, the model shows how different domains may share the same deep structural sequence. It then positions MetaMould as a diagnostic and reconstruction engine, capable of moving from LLM input to MetaMould standardization, iAct ethical judgment, and responsible execution. Its central message is that future AGI requires structure, geometry, and moral orientation before automation.