Virtual Agent Economies
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Abstract (arXiv)
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.
Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 98 of its 271 references that are in the map. First posted on arXiv 12 Sep 2025.
Builds on
98 of 271 references.
References · 98
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- 2026Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs16 Jan 2026
- 2025When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets4 Dec 2025
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- 2025Modeling AI-Driven Production and Competitiveness A Multi-Agent Economic Simulation of China and the United States13 Oct 2025