What question did this study set out to answer?

This research aims to explore how autonomous AI agents influence decentralized finance ecosystems and governance structures.

April 5, 2026Technological Forecasting and Social ChangeOpen Access

Autonomous AI agents in decentralized finance: Market dynamics, application areas, and theoretical implications

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This research aims to explore how autonomous AI agents influence decentralized finance ecosystems and governance structures.
Qualitative analysis of 306 crypto AI agents
Development of a typology for application areas
Creation of a quadrant-based governance framework
Identification of archetypal system configurations
Introduces a typology outlining roles in trading, governance, community, and entertainment
Shows AI agents streamline operations and reduce transaction costs
Reveals critical trade-offs between transparency and control
Highlights potential risks of opacity and misalignment in DeFi governance

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Implication

Qualitative analysis reveals how AI agents reshape governance and market structures in decentralized finance, indicating transformative potential and risks.

Cite This Study

Lennart Ante (2026) studied this question.

synapsesocial.com/papers/69d1fc4fa79560c99a0a1ddd https://doi.org/10.1016/j.techfore.2026.124669

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Implication

Qualitative analysis reveals how AI agents reshape governance and market structures in decentralized finance, indicating transformative potential and risks.

Autonomous AI agents in decentralized finance: Market dynamics, application areas, and theoretical implications

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Implication

Cite This Study

Autonomous AI agents in decentralized finance: Market dynamics, application areas, and theoretical implications

Key Points

Discussion

Implication

Cite This Study

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