Artificial Superintelligence May be Useless: Equilibria in the Economy of Multiple AI Agents

A new research paper analyzes economic equilibria between AI and human agents in trading scenarios, finding that unless agents can at least double their marginal utility from purchases, no trading will occur. The study reveals that more powerful AI agents may contribute zero utility to less capable agents in certain equilibria.

• →Economic trading between AI and human agents requires at least doubling marginal utility, not just increasing it.
• →The research uses a Markov chain stationary distribution model to analyze long-term rather than short-term economic benefits.
• →In multi-agent scenarios, more powerful AI agents may provide no utility to less capable agents in some equilibria.
• →The paper characterizes all possible economic equilibria for two-agent systems and extends findings to three or more agents.
• →The results suggest artificial superintelligence may be economically useless in certain multi-agent trading scenarios.