Overview

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In this course you'll explore how advanced AI can reshape digital agency, decentralized governance, and blockchain-based economic systems. You’ll examine agentic AI and how intelligent agents could act as digital counterparts that make decisions, manage tasks, and interact with services on a user’s behalf. You’ll learn how blockchain can support these agents through security, transparency, identity verification, and trust mechanisms while considering challenges involving ethics, accountability, privacy, and data ownership. The course also examines how AI can support decentralized autonomous organizations, or DAOs, through proposal evaluation, sentiment analysis, treasury management, conflict moderation, and decision support. You’ll then explore AI-driven tokenomics, including adaptive token supply, optimized incentives, and personalized economic experiences.

Syllabus

Beyond Generative AI
- In this module, you’ll explore the concept of agentic AI and examine how intelligent agents could act as trusted digital counterparts in a Web3 environment. You’ll learn how these agents can support decision-making, manage tasks, and interact with digital services on a user’s behalf, while blockchain provides the security, transparency, identity verification, and trust mechanisms needed to support their use. You’ll also consider important challenges related to ethics, accountability, privacy, and data ownership as agentic AI becomes more capable and more deeply integrated into daily life.
Collaborative AI and Decentralized Governance
- 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.
AI-Driven Tokenomics and Incentive Structures
- 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.
Course Recap
- 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.

Taught by

Alisa Acosta, Douglas Heintzman, Don Tapscott, and Alex Tapscott

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