69 Major Trends Designed by DAO in 2025

Decentralization Autonomous Organizations (DAOs) are rapidly emerging as a key force in reshaping global governance and resource allocation, and more and more innovative thinking and design patterns are shaping the future of DAOs. This article is derived from Kevin@owocki's article "69 trends in 2025-era DAO design", which was compiled, compiled and written by Techflow. (Summary: AI Agent Market Dynamic Analysis: DeFAI, Game Agencies and Investment DAO Become New Hot Spots) (Background supplement: ETHGlobal Bangkok Blackpine Top 10 Finalists: AI Agents, DAO Tools, and Games Dominate.. Decentralization Autonomous Organizations (DAOs) are rapidly emerging as a key force in reshaping global governance and resource allocation, and more and more innovative thinking and design patterns are shaping the future of DAOs. This article is the latest research by Kevin Owocki, who describes 69 trends in DAO design in 2025, covering everything from AI integration, privacy protection, capital allocation, to decentralization governance. This article not only provides practical ideas for DAO designers, but also stimulates more discussion and practice on autonomy in Decentralization, innovation governance, and public goods funding. AI Integration 1. AI x DAO AI x DAO refers to the integration of artificial intelligence into the operation of the DAO to perform tasks such as treasury management, proposal analysis, and information flow. AI agents can process massive amounts of data and make decisions or make recommendations based on predefined criteria and historical patterns. AI agents can perform continuously and have the potential to make more objective decisions than human governors. 2. AI Agent Governance Assists AI makes the governance process more transparent and efficient by providing clear, data-driven insights to analyze voting patterns, member engagement, and proposal impact. AI can also democratize governance participation by compressing complex contextual information into easy-to-understand summaries, making governance updates more accessible to all members. 3. AI Circuit Breaker The AI Circuit Breaker is a governance control mechanism that limits the behavior of AI systems and prevents potential problems from occurring. Such a system can automatically pause or restrict the AI's actions based on trigger conditions, ensuring that the application of AI in the DAO is more secure. 4. AI Proxy AI proxy is a class of artificial intelligence systems that can participate in governance decisions on behalf of Tokenholder. They can analyze proposals, track voting patterns, and make decisions based on preset criteria to drive more complex and automated governance systems. 5. AI for Design Space Exploration AI agents greatly improve the efficiency of design space exploration in infinitely complex environments, accelerating the innovation process by automatically generating and evaluating diverse architectural configurations. With huge data sets, contextual windows, and computing power, AI can quickly optimize designs around the clock, identifying the best solution more efficiently than traditional manual methods. This not only speeds up the design process, but also reduces the costs associated with manual exploration, enabling more innovative and cost-effective outcomes. Examples: InfiniteRegen.AI 6. AI for information flow AI and large language models (LLMs) can streamline the flow of information in the DAO by summarizing the discussion or meeting content, highlighting key topics or points of the content for quick reference by other members. At the same time, they can analyze members' roles and interests, provide customized information, and ensure that each user only receives relevant updates. In addition, AI-driven knowledge graphs reflect the DAO's resources, discussions, and contributors, enabling the right people to be connected to the right information at the right time. 7. Applied AI onboarding and member management AI tools are used to streamline the onboarding process in DAOs by reading resumes, assessing new members' qualifications, and even suggesting roles based on skills and historical performance profiles. This application reduces human bias and speeds up the integration of new members into the DAO. 8. AI on-chain capital allocation AI agents can make retrospective capital allocations more effectively by integrating data from past funding rounds, proposals, and performance metrics. They are able to identify underfunded but impactful projects through advanced analytics and recommend optimal resource allocation. By automating proposal reviews and prioritizing based on DAO goals, AI ensures that the allocation of funds is both efficient and transparent. 9. DAO Management AI The DAO oversees the development of AI to ensure ethics or consistency in AI practices. This may involve community-driven AI research and deployment governance, which may ultimately lead to safer and more responsible AI systems. 10. Swarm intelligence AI is being tested as a connector between DAOs, agents, and humans, creating a form of swarm intelligence where different entities are able to share knowledge, communicate and coordinate more efficiently, enabling more efficient collective decision-making than individual members. Financial mechanism 11. Guarantee Contract Guarantee contracts create mechanisms for coordinating group action by ensuring that participants will only participate if enough people participate. These contracts help to solve coordination problems and promote collective action, especially for the financing of public goods or the organization of collective efforts. 12. COCM (Online-Oriented Cluster Matching) Quadratic Funding The Algorithm enhances the traditional quadratic funding model by identifying and reducing collusion between donors. It analyzes clusters of users based on shared attributes or behavior to detect coordinated groups trying to unfairly influence funding outcomes. By aligning matching funding to account for these collusion models, COCM ensures that resources are more equitably and efficiently allocated to projects that truly receive community support. Example: Gitcoin Grants Stack 13. Reserves Reserves provide a treasury management system with specific rules, including rules for the allocation and expenditure of funds. It can include features such as spending limits, approval requirements, and automatic allocation. The system helps maintain fiscal discipline while ensuring that resources are available when needed. 14. Deepfunding Deepfunding is an initiative that rewards Open Source contributors by allocating funds to upstream contributors on projects assessed by funders by utilizing dependency graphs and marketplaces made up of AI or human allocators, supplemented by a spot check jury. It aims to reduce the cognitive burden on funders for more effective funding decisions by extending the suite of high-quality human judgment. The project includes a competition with a total prize fund of $250,000 to encourage the development of models to assign weights to 40,000 identified Ethereum dependencies. Example: DeepFunding.Org 15. Direct Contract Incentives Guaranteed Contract + If the project does not meet funding targets, ensure that contributors receive additional rewards as refunds, thereby incentivizing participation and reducing risk. Example: Boost, Royco 16. Dominant Guarantee Contract Direct contract incentives embed the reward mechanism directly into the smart contract to establish an automated and transparent incentive system. These systems can reward specific actions, achievements, or contributions without manual assignment. They help build more efficient and trustless incentive structures. 17. Harburger Tax Harburger Tax establishes an ongoing auction machine...