AI ecology is the ecology that emerges as capable AI and robotics take on cognitive and physical work. Productive capacity moves out of human minds and bodies and into machines, models, energy, compute, capital, and infrastructure, which inverts the founding scarcity of the industrial ecology:
The industrial problem was how do we mobilize enough people? The AI problem becomes how do people legitimately participate when mobilizing their labor is no longer economically necessary?
This is the shift from labor scarcity to labor abundance, and it is why No Wasted Geometry becomes timely now — it is a social operating philosophy for a world in which industrial necessity is declining. An AI ecology is not post-scarcity (land, attention, care, relationships, and positional goods stay scarce), and it is not automatically good: it can free human geometry from compulsory production, or let a few owners and institutions control everyone’s access to the field. Which it becomes is the transition’s central question. See Industrial and AI Ecology.