Economic systems have long been built on a central assumption: human labor is the primary source of value. Income flows from employment, demand follows income, and stability emerges from circulation. This structure defined the industrial era. With the rise of artificial intelligence, that foundation is breaking. AI introduces a non-human productive force capable of generating value at scale without proportional labor. As production becomes increasingly algorithmic, income distribution detaches from employment, capital concentrates, and traditional demand structures weaken. Under these conditions, inequality becomes a structural instability, not merely a social concern. Economic System in Cognitiveism reconstructs the economy at the architectural level. It reframes the economy as a cognitive system that governs value, signals, and power, and proposes a stability-centered design for the AI era. Stability is not treated as stagnation, but as bounded coherence-a dynamic condition in which growth and innovation remain viable without exceeding the system's capacity for coordination. The framework is built on four principles: redefining value from output maximization to systemic stability; formalizing AI-generated surplus through rule-based allocation; preserving ownership while structurally bounding concentration; and re-anchoring monetary systems to regenerative capacity rather than wage dependence. Rather than viewing instability as episodic crisis, the book identifies it as the predictable result of unbounded amplification in high-velocity systems. It develops a complete economic architecture-from conceptual foundations to institutional design and constitutional embedding-aimed at sustaining long-term stability under conditions of technological acceleration. Economic System in Cognitiveism is a post-ideological framework for a post-labor world. Its objective is not to maximize growth at any cost, but to preserve systemic integrity, adaptive capacity, and social coherence in an age of AI-driven transformation.