AGI Economics explores what happens when intelligence becomes the most abundant and productive input in the economy. Artificial General Intelligence doesn’t simply increase efficiency—it rewrites the rules of value creation, scarcity, and growth. When machines can reason, learn, strategize, and innovate across domains, traditional economic assumptions built on limited human cognition begin to fracture. In AGI-driven systems, productivity scales at unprecedented speeds. Costs collapse, decision cycles compress, and entire markets reorganize around automated intelligence rather than human labor. Capital, labor, and technology blur into a single feedback loop, raising new questions about ownership, distribution, and power. Who captures value when AGI can generate it autonomously? How do prices, incentives, and wealth function in an era of near-infinite cognitive supply? This section of Singularity Streets investigates those emerging realities. From post-scarcity models and AI-managed markets to universal income systems and algorithmic governance, AGI Economics maps the forces reshaping global prosperity. It’s not just about faster growth—it’s about redefining what “the economy” even means when intelligence itself becomes infrastructure.
A: It makes scarcity a design choice.
A: That’s a core policy question.
A: It may transform rather than vanish.
A: Yes, but algorithmically.
A: It weakens under abundance.
A: Not for survival.
A: Intelligence-driven growth is non-linear.
A: Hybrid human-AI systems.
A: Only without intervention.
A: It’s one of its economic cores.
