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AI Tokenomics: The Economics of Tokens, Computation, and ...
[Submitted on 10 Jun 2026] · 2026-06-24 · via cs updates on arXiv.org

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Abstract:Tokens have become the practical accounting unit for modern foundation model services, linking information processing, computation, memory use, energy expenditure, pricing, and economic value. This paper develops a framework for AI tokenomics: the study of how tokens are generated, consumed, priced, allocated, and optimized across AI systems. We connect token-level technical costs to workflow-level production functions, enterprise resource allocation, measurement and instrumentation methods, and emerging market-design questions. The framework shows that token expenditure and economic value are distinct: value depends on marginal productivity, workflow position, hidden reasoning activity, risk, and downstream propagation effects. The paper concludes by identifying open research directions in hidden-token measurement, empirical calibration, token productivity, dynamic allocation, and token-based markets.

Submission history

From: Quanyan Zhu [view email]
[v1] Wed, 10 Jun 2026 03:47:01 UTC (918 KB)