What the game was hiding: the five cards came from recurring debates in your recent X feed—whether efficiency expands or reduces total compute demand; whether open and local models cross the useful-quality threshold; whether data, memory, and the agent harness matter more than raw intelligence; whether general agents absorb vertical software; and whether control beats global diffusion. Rising infrastructure demand, dependence on the strongest models, general-agent dominance, and centralized controls point toward labs and infrastructure retaining leverage. Local-model sufficiency, context and workflow moats, vertical ownership, and open diffusion point toward applications. Question six only compares that completed thesis with your economic seat. This is a structured game—not an objective model of the AI economy, a psychological assessment, or investment advice.