In this module, you’ll explore how AI can support decentralized governance by helping DAOs manage complex processes and make more informed decisions. You’ll examine how AI can assist with proposal evaluation, community sentiment analysis, treasury management, conflict moderation, and decision support, while also considering the importance of transparency, fairness, accountability, and human oversight. By the end of the module, you’ll be able to explain how AI can strengthen DAO operations while preserving community control and decentralized principles.

In this module, you’ll explore how AI can reshape blockchain economics by making token systems more adaptive, responsive, and personalized. You’ll examine how AI can support dynamic token supply models, optimize incentive mechanisms based on user behavior, and create individualized economic experiences that strengthen participation and long-term engagement. By the end of the module, you’ll be able to evaluate how AI-driven tokenomics can help blockchain networks become more resilient, efficient, and user-centered.

In this module, you’ll review the key ideas introduced in this module, including the concept of agentic AI, the role of blockchain in supporting secure and trustworthy AI agents, the use of AI to improve DAO governance and decision-making, and the application of AI to tokenomics and incentive design. The graded assignment will evaluate your understanding of these concepts and your ability to apply them to governance, digital agency, and blockchain-based economic systems.