Papers
arxiv:2509.10147

Virtual Agent Economies

Published on Sep 12
ยท Submitted by taesiri on Sep 15
#3 Paper of the day
Authors:
,
,
,
,
,
,

Abstract

The sandbox economy framework analyzes the emerging AI agent economy, focusing on its origins and permeability, and discusses design choices for safe and steerable AI markets.

AI-generated summary

The rapid adoption of autonomous AI agents is giving rise to a new economic layer where agents transact and coordinate at scales and speeds beyond direct human oversight. We propose the "sandbox economy" as a framework for analyzing this emergent system, characterizing it along two key dimensions: its origins (emergent vs. intentional) and its degree of separateness from the established human economy (permeable vs. impermeable). Our current trajectory points toward a spontaneous emergence of a vast and highly permeable AI agent economy, presenting us with opportunities for an unprecedented degree of coordination as well as significant challenges, including systemic economic risk and exacerbated inequality. Here we discuss a number of possible design choices that may lead to safely steerable AI agent markets. In particular, we consider auction mechanisms for fair resource allocation and preference resolution, the design of AI "mission economies" to coordinate around achieving collective goals, and socio-technical infrastructure needed to ensure trust, safety, and accountability. By doing this, we argue for the proactive design of steerable agent markets to ensure the coming technological shift aligns with humanity's long-term collective flourishing.

Community

Paper submitter
โ€ข
edited Sep 15

Proposes a sandbox economy framework to study emergent AI agent markets, outlining design choices such as auctions, mission economies, and trust for steerable, safe coordination at scale.

ยท

This seems to be moving towards the natural intelligence path with agents as genes, with every player (species) working to expand and evolve its own intelligent agent genes.
To implement this, we should follow Life's path/architecture: a standardized agent structure (eg: DNA(RNA) ~ Biz(Ops)) and centralized and decentralized agentic processing systems + monetization engines - like Bacteria and Eukarya - which are anyway the dominant intelligence processing systems on Earth... And genes are the top data structure in use on the planet. Try the exercise of estimating the genes running in all cells of your body and then the genes running all life cells on Earth.

@jbejarano What are you thoughts? An Agent AI Economy where everyone has their own trading bots?

ยท

from current business/personal to high-frequency trading ๐Ÿš€

What infrastructure is needed? Centralized or decentralized?
Who will become the AI Agent Stock Exchange?
...

fantastic

This is an automated message from the Librarian Bot. I found the following papers similar to this paper.

The following papers were recommended by the Semantic Scholar API

Please give a thumbs up to this comment if you found it helpful!

If you want recommendations for any Paper on Hugging Face checkout this Space

You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: @librarian-bot recommend

Thanks. BTW idea of AI agents optimized over blockchain is already like a 3-4 years

ยท

Starting a bank is heavily regulated because it gives a lot of power. This thing tries to start the whole AI/robotic economy. Expected reaction from current "Money as Debt" providers: (1) socialize the risks, i.e. wait for somebody else to debug it; (2) privatize the profits, i.e. litigate to kill it at the right moment and re-start it as their own solution, sucking out some "friction cost". Think it like Bitcoin vs. desire to cripple competitors with economic sanctions at one's whim.

ยท

Sign up or log in to comment

Models citing this paper 0

No model linking this paper

Cite arxiv.org/abs/2509.10147 in a model README.md to link it from this page.

Datasets citing this paper 0

No dataset linking this paper

Cite arxiv.org/abs/2509.10147 in a dataset README.md to link it from this page.

Spaces citing this paper 0

No Space linking this paper

Cite arxiv.org/abs/2509.10147 in a Space README.md to link it from this page.

Collections including this paper 11