Computational Challenges in Token Economics: Bridging Economic Theory and AI System Design
The paper discusses the intersection of token economics and AI system design, highlighting the computational challenges involved. It introduces the concept of Computational Token Economics and the Token Economics Trilemma, which outlines trade-offs in this field. The authors aim to define a research agenda to bridge the gap between economic theory and practical AI applications.
- ▪Token economics is crucial for understanding resource allocation and pricing in AI systems.
- ▪The paper identifies key computational challenges in implementing token-economic principles in real-time systems.
- ▪The authors propose a research agenda to address the gaps between economic theory and AI infrastructure.
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Computer Science > Artificial Intelligence arXiv:2605.17410 (cs) [Submitted on 17 May 2026] Title:Computational Challenges in Token Economics: Bridging Economic Theory and AI System Design Authors:Ou Wu, Yingjun Deng View a PDF of the paper titled Computational Challenges in Token Economics: Bridging Economic Theory and AI System Design, by Ou Wu and Yingjun Deng View PDF HTML (experimental) Abstract:Token economics has emerged as a useful lens for understanding resource allocation, value creation, and pricing in large language model systems. While recent work has increasingly treated tokens as economic primitives, there remains a substantial gap between high-level economic theory and the computational realities of modern AI infrastructure.
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