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The aim is to explore the implications of autonomous AI agents in decentralized finance for governance and value creation.

June 17, 2026Open Access

Autonomous Artificial Intelligence Agents in Decentralized Finance: Governance, Coordination, and Value Creation

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The aim is to explore the implications of autonomous AI agents in decentralized finance for governance and value creation.
Developed a conceptual framework for analysis of AI agents in decentralized finance.
Identified four major application domains: trading and analytics, development infrastructure, meme formation, and entertainment.
Integrated insights from various theories such as transaction cost economics and principal-agent theory.
Autonomous AI agents function as institutional actors, influencing market behavior and governance.
Governance outcomes depend on agent autonomy and distribution of decision-making authority, affecting efficiency and transparency.
Symbolic value and community participation surpass functional utility in driving market capitalization.

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Conceptual framework examines governance and economic implications of AI agents in decentralized finance, highlighting opportunities and challenges.

Bulletin of Business and Economics (BBE) (2026) studied this question.

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Conceptual framework examines governance and economic implications of AI agents in decentralized finance, highlighting opportunities and challenges.