[2603.00858] Artificial Superintelligence May be Useless: Equilibria in the Economy of Multiple AI Agents

[2603.00858] Artificial Superintelligence May be Useless: Equilibria in the Economy of Multiple AI Agents

arXiv - AI 4 min read

About this article

Abstract page for arXiv paper 2603.00858: Artificial Superintelligence May be Useless: Equilibria in the Economy of Multiple AI Agents

Economics > Theoretical Economics arXiv:2603.00858 (econ) [Submitted on 1 Mar 2026] Title:Artificial Superintelligence May be Useless: Equilibria in the Economy of Multiple AI Agents Authors:Huan Cai, Ziqing Lu, Catherine Xu, Weiyu Xu, Jie Zheng View a PDF of the paper titled Artificial Superintelligence May be Useless: Equilibria in the Economy of Multiple AI Agents, by Huan Cai and 4 other authors View PDF Abstract:With recent development of artificial intelligence, it is more common to adopt AI agents in economic activities. This paper explores the economic actions of agents, including human agents and AI agents, in an economic game of trading products/services, and the equilibria in this economy involving multiple agents. We derive a range of equilibrium results and their corresponding conditions using a Markov chain stationary distribution based model. One distinct feature of our model is that we consider the long-term utility generated by economic activities instead of their short-term benefits. For the model consisting of two agents, we fully characterize all the possible economic equilibria and conditions. Interestingly, we show that unless each agent can at least double (not merely increase) its marginal utility by purchasing the other agent's products/services, purchasing the other agent's products/services will not happen in any economic equilibrium. We further extend our results to three and more agents, where we characterize more economic equilibria. We find t...

Originally published on March 03, 2026. Curated by AI News.

Related Articles

AI chip startup Rebellions raises $400 million at $2.3B valuation in pre-IPO round | TechCrunch
Machine Learning

AI chip startup Rebellions raises $400 million at $2.3B valuation in pre-IPO round | TechCrunch

The startup, which is planning to go public later this year, designs chips specifically for AI inference, another challenger to Nvidia's ...

TechCrunch - AI · 4 min ·
Llms

CLI for Google AI Search (gai.google) — run AI-powered code/tech searches headlessly from your terminal

Google AI (gai.google) gives Gemini-powered answers for technical queries — think AI-enhanced search with code understanding. I built a C...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Big increase in the amount of people using AI to write their replies with AI

I find it interesting that we’ve all randomly decided to use the “-“ more often recently on reddit, and everyone’s grammar has drasticall...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] MXFP8 GEMM: Up to 99% of cuBLAS performance using CUDA + PTX

New blog post by Daniel Vega-Myhre (Meta/PyTorch) illustrating GEMM design for FP8, including deep-dives into all the constraints and des...

Reddit - Machine Learning · 1 min ·
More in Machine Learning: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime