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69 Trends Designed by DAO in 2025
Written by: Kevin@owocki
Compiled by Yewlne and Elsa
Translator's Foreword
Decentralized Autonomous Organizations (DAOs) are rapidly emerging as a key force reshaping global governance and resource allocation, with an increasing number of innovative thinking and design patterns shaping the future of DAOs. This article presents Kevin Owocki's latest research findings, describing 69 trends in DAO design for 2025, covering various aspects from AI integration, privacy protection, capital allocation to decentralized governance. This article not only provides practical ideas for DAO designers, but also inspires more discussions and practices on decentralized autonomy, innovative governance, and public goods funding.
I have conducted some simple research on the 2025 DAO design trends (
Hope this content can provide useful reference for DAO designers in 2025 :)
AI Integration
AI x DAO refers to integrating artificial intelligence into the operation of DAO, used for tasks such as treasury management, proposal analysis, and information flow. AI agents can process massive amounts of data, make decisions or provide suggestions based on predefined standards and historical patterns. AI agents can operate continuously and may make more objective decisions than human governors.
AI analyzes voting patterns, member participation, and proposal impact by providing data-driven insights to make the governance process more transparent and efficient. AI can also compress complex background information into easy-to-understand summaries, making governance updates more accessible to all members and promoting democratization of governance participation.
AI circuit breaker is a governance control mechanism used to limit the behavior of AI systems and prevent potential issues. This system can automatically pause or restrict the operation of AI based on triggering conditions, ensuring a safer application of AI in DAOs.
AI delegation is a type of artificial intelligence system that can represent token holders in governance decision-making. They can analyze proposals, track voting patterns, and make decisions based on preset criteria to promote the development of more complex and automated governance systems.
AI agents greatly improve the efficiency of exploring design space in infinitely complex environments by automatically generating and evaluating diverse architectural configurations, accelerating the innovation process. With vast datasets, contextual windows, and computational power, AI can optimize design solutions rapidly and around the clock, identifying optimal solutions more efficiently than traditional manual methods. This not only speeds up the design process but also reduces costs associated with manual exploration, resulting in more innovative and cost-effective outcomes.
Example: InfiniteRegen.AI
AI and Large Language Models (LLMs) can simplify the information flow in DAO by summarizing discussions or meeting content, highlighting key themes or points 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 can map DAO's resources, discussions, and contributors, enabling the right people to be connected with the right information at the right time.
AI tools are used to simplify the onboarding process in DAOs by reading resumes, evaluating the qualifications of new members, and even suggesting roles based on skills and historical performance data. This application reduces human bias and speeds up the integration of new members into DAOs.
AI agents can more effectively allocate capital retroactively by integrating data on past financing rounds, proposals, and performance indicators. They can identify underfunded but impactful projects through advanced analysis and recommend optimal resource allocation. By automating proposal reviews and prioritizing based on DAO goals, AI ensures that fund allocation is both efficient and transparent.
DAO supervises the development of AI to ensure the ethics or consistency of AI practice. This may involve community-driven AI research and deployment governance, which may ultimately promote safer and more responsible AI systems.
AI is being tested as a connector between DAO, agents, and humans, creating a form of collective intelligence where different entities can share knowledge, communicate, and coordinate more efficiently, thereby achieving more efficient collective decision-making than individual members.
Financial Mechanism
Contracts ensure that participants will only participate when a sufficient number of people are involved, creating a mechanism for coordinated group action. These contracts help solve coordination problems and promote collective action, especially suitable for funding public goods or organizing collective efforts.
The algorithm enhances the traditional quadratic funding model by identifying and reducing collusion among donors. It analyzes clusters of users based on shared attributes or behaviors to detect coordinated groups affecting funding outcomes unfairly. By adjusting matching funds to account for these collusion patterns, COCM ensures resources are distributed more fairly and efficiently to projects truly supported by the community.
Example: Gitcoin Grants Stack
The reserve fund provides a treasury management system with specific rules, including rules for fund allocation and expenditure. It can include functions such as expenditure limits, approval requirements, and automatic allocation. This system helps maintain financial discipline while ensuring available resources when needed.
Deepfunding is an initiative to reward open source contributors by distributing funds to upstream contributors in funded projects through the use of dependency graphs and a marketplace composed of AI or human allocators, supplemented by random sampling review committees for value assessment by funders. It aims to reduce the cognitive burden of funders and make funding decisions more effective by expanding high-quality human judgment. The project includes a competition with a total prize pool of $250,000, encouraging the development of models to allocate weights for 40,000 identified Ethereum dependencies.
Example: DeepFunding.Org
Ensure the contract + If the project does not reach the funding target, ensure that contributors will receive additional rewards as a refund to motivate participation and reduce risk.
Example: Boost, Royco
Direct contract incentives embed the reward mechanism directly into the smart contract, creating an automated and transparent incentive system. These systems can reward specific behaviors, achievements, or contributions without manual allocation. They help create more efficient and trustless incentive structures.
Huberg Tax has created a continuous auction mechanism where asset holders must set a selling price and pay taxes based on that price. This creates a balance between efficient resource allocation and fair compensation to current holders. The system helps prevent hoarding of resources and ensures assets are put to productive use.
Proof of Impact provides verifiable certificates to measure and prove the impact in various fields. These systems can track and verify contributions, achievements, and outcomes. They help create more transparent and traceable impact assessment systems.
Example: EAS
An Impact Certificate is a tradable token that represents proof of positive impact or value created by individuals or organizations in areas such as public goods or social initiatives. It can be sold or redeemed in the future, allowing sponsors to retroactively incentivize impactful contributions.
Example: Hypercerts
Incentives based on KPIs link rewards to specific, measurable performance indicators. These systems can automatically adjust rewards based on achieved results. They help create a more objective and performance-oriented incentive structure.
Example: Metro
Private quadratic funding combines privacy technology and quadratic funding mechanisms to prevent collusion. The system allows for democratic funding allocation while protecting the privacy of voters, helping to ensure that funding decisions reflect genuine community preferences rather than coordinated voting blocks.
Example: MACI
Programmable funds flow enables continuous real-time payment flow, instead of separate transactions. This makes it possible to have more precise control over payment time and conditions, such as salary flow or service payment. The system can automatically adjust the payment rate based on different conditions or indicators.
Example: Drips, Sablier, Superfluid
Programmatic liquidity uses algorithms to automatically manage market making and liquidity provision. In DeFi protocols, these systems can adjust parameters such as price curves and pool depths based on market conditions and protocol requirements. This approach helps maintain stable markets and efficient price discovery without the need for constant human intervention.
Example: Baseline Markets, Cult DAO
Proof of Value (PoV) is a consensus mechanism proposed by the Thrive protocol to measure and assess the actual impact of contributions in the blockchain ecosystem. It uses expert validators (called 'Guardians') to evaluate contributions based on criteria such as code quality, financial results, and content accuracy. This ensures fair and efficient allocation of funds, and rewards based on the value provided by contributors.
Example: Thrive Protocol
The system combines the democratic distribution of quadratic funding with the price discovery mechanism of bonding curves. This integration creates a dynamic funding system that can respond to market signals while maintaining democratic elements. It helps balance efficient capital allocation with community preferences.
Example: q/acc by giveth
Retrospective funding rewards value creation after the fact, rather than funding predictive work for the future. This approach reduces the risk of funding ineffective work and creates stronger incentives for valuable contributions. It helps address the public goods funding problem by rewarding proven value creation.
Example: Optimism Retro Funding, EasyRetroPGF.xyz
The income routing system automatically allocates income to different stakeholders or purposes based on predetermined rules or formulas. These systems can handle complex allocation patterns, such as real-time distribution of income between contributors, treasuries, and liquidity providers. Automation reduces administrative expenses and ensures transparent and predictable fund allocation.
Example: RevNets.app
The labor equity system allocates ownership based on work contributions rather than capital investment. These systems can track and assess different types of contributions and evaluate their value over time. They help establish a more fair ownership structure based on actual value creation.
Example: Collabberry
Governance Model
Compound v2 governance introduces complex mechanisms to manage DeFi protocols, including delayed execution, time locks, and delegation. The system allows for regular parameter adjustments and significant protocol changes. It also includes security features to prevent malicious proposals while maintaining flexibility.
Example: Compound Finance, Uniswap, Gitcoin governance
The challenge control system allows challenging existing control structures under defined conditions. This creates accountability while maintaining stability. The system helps prevent control from being monopolized and allows for necessary changes.
Example: Research by Jeff Strnad
Faith voting weights votes based on the duration of the voter's stance, encouraging long-term thinking and reducing vote manipulation. Voters accumulate voting weights over time, which can be applied to different proposals. This system helps prevent short-term speculation and encourages more thoughtful decision-making.
Example: 1Hive
Decentralized arbitration provides on-chain systems to resolve disputes among parties. These systems typically use a jury pool and economic incentives to ensure fair rulings. They help to build stronger and self-improving governance systems.
Example: Kleros
Governance of Discuss-Then-Decide emphasizes structured discussions and consensus-building prior to formal voting. This approach helps ensure well-considered decisions with broad support, leading to better outcomes and stronger community cohesion.
Example: Harmonica, SimScore
Dual governance creates a two-tier governance system, setting different mechanisms and requirements for different types of decision-making. This makes it more efficient to handle different types of decisions. The system helps balance efficiency and security in governance.
Example: Lido Finance, dual governance of Optimism (Token House and Citizens House)
EigenGov is the governance system of EigenLayer, which delegates decision-making power to the domain expert committee while giving EIGEN token holders the ultimate veto power. This structure ensures that individuals actively involved in the ecosystem drive day-to-day operations while maintaining a balance between expert insights and community oversight.
Example: EigenGov
Holochain consensus creates a scalable decision-making system that can maintain quality while processing a large number of proposals. The system uses various mechanisms to effectively screen and prioritize proposals, solving the scalability issues of traditional governance systems.
Example: DAO Stack
Liquid democracy allows voters to vote directly or delegate their voting rights to others, who can further delegate. This flexible system combines direct democracy and representative democracy, helping to balance participation and expertise in governance.
Advanced voting mechanisms are not limited to simple token-weighted voting, but also include various weighting schemes (such as quadratic voting), statutory quorum requirements, and voting cycles. These strategies can take into account factors such as voter reputation, stake duration, or expertise, with the aim of improving decision quality while maintaining fair participation.
Example: Snapshot Labs
These systems create a bridge between on-chain governance and legal entities, achieving a hybrid structure that combines blockchain and traditional legal frameworks. This enables DAOs to interact more effectively with traditional legal systems, helping DAOs operate better in the real world.
Example: BORGs
OP governance allows actions to be automatically executed without being challenged. This approach reduces the governance overhead of routine decision-making, while maintaining security through a challenge mechanism. It is particularly suitable for low-risk and frequent decision-making.
Reputation voting allocates voting rights based on accumulated reputation rather than token holdings. Reputation can be earned through contributions, participation, and other positive behaviors. This approach helps align voting rights with commitment to the project.
Role-based governance allocates different permissions and voting rights to different roles in the DAO, similar to different levels of authority in traditional organizations. This system allows for finer control over who can make which decisions, making governance more efficient and professional. Users can obtain or be assigned roles based on their contributions, expertise, or other criteria.
Example: Hats Protocol
Subjective rule execution allows for human judgment in applying rules, rather than relying solely on mechanical execution. This provides governance systems with greater flexibility and contextual awareness, helping to address complex situations that cannot be resolved through simple algorithms.
Example: Q Blockchain
The voting mechanism against witch attacks ensures the fairness of the voting by preventing individuals from obtaining extra voting rights through multiple identities. These systems may use human proof, identity verification, or other validation methods to ensure that the voting results reflect the true will of the community, rather than manipulation.
Example: Gitcoin Passport, Worldcoin
Governance has eliminated the traditional voting mechanism and instead adopted automated rules and predetermined protocols. This approach reduces governance costs and potential manipulation risks by removing human decision-making in routine operations. The system is more like an automated vending machine than a democratic system, with clear rules and predictable outcomes.
Information Finance
Users can stake tokens to challenge or verify the accuracy of information on the platform. If a claim is proven to be incorrect, the challenger will be rewarded, thereby incentivizing the community to maintain information integrity.
A platform where users can collectively contribute to provide insurance for the accuracy of news stories. Investigative journalists or fact-checkers can apply for funds from the pool to verify or refute a piece of news. If the news is proven to be false, the funds will be returned to the contributors; if it is verified to be true, the investigator will receive a reward.
Governance prediction uses prediction markets to make governance decisions, allowing token holders to bet on the outcomes of different proposals. This market-driven decision mechanism may be more accurate than traditional voting and helps align governance decisions with expected results.
Example: Butter.money
Creating a tokenized form of verified knowledge (NFT), the value of NFT will increase as more independent validators confirm its accuracy and usefulness. Institutions or individuals can purchase these NFTs as proof of high-quality data or expertise.
A prediction market that tracks and rewards the accuracy of prediction results and the subsequent impact of events. For example, predictions about technology adoption can incorporate metrics such as user growth or economic impact to generate a richer dataset that supports long-term decision-making.
In this financial system, the ability of individuals or entities to obtain loans and credit is determined by their dynamically updated reputation scores. These scores are based on community feedback and verified information.
Researchers propose projects, and the community funds these projects by purchasing tokens. The success and impact of the research will affect the value of the tokens, thereby aligning economic incentives with valuable knowledge production.
Infrastructure
The Allo protocol provides the infrastructure for resource allocation in Web3 projects. This protocol includes project metadata storage, funding round management, proposal evaluation, and resource allocation functions, aiming to standardize and optimize the funding process for Web3 projects.
Example: Allo
Aragon OSx provides an upgraded operating system for creating and managing more flexible DAOs. The system includes advanced permission management, plugin architecture, and governance tools, with the goal of making the creation and management of DAOs more convenient while retaining complexity and functionality of the system.
Example: Aragon Project
Through Chainlink's CCIP, DAOs can manage treasury assets distributed across multiple blockchains, including securely transferring funds between chains or deploying multi-chain yield strategies to optimize treasury growth.
Example: CCIP
MolochDAO v2 introduces loot, which is non-voting stake, allowing for a more flexible membership structure; The ability to support treasury holdings of multiple ERC-20 tokens has also been added, surpassing the single token limit of v1. In addition, v2 introduces a "forced ragequit" that removes inactive or malicious members. MolochDAO v2.5 takes v2 a step further by integrating "minions" that enable DAOs to interact with external smart contracts through a single proposal.
Example: MolochDAO
The Zodiac module provides a modular smart contract system that allows DAOs to add or modify governance functions without changing the core structure. These modules can be combined like building blocks to create customized governance systems. The modular nature allows DAOs to continuously evolve their governance structures over time without the need for a complete overhaul.
Example: Safe
Organizational model
Activity DAOs are organized around a specific activity or goal, rather than general governance. With a focused mission and specialized governance, these DAOs are able to create more efficient organizations for specific goals.
示例: PizzaDAO, Blunt DAO, Sauna DAO
Composite governance allows different governance mechanisms to be combined and interact in a defined manner. This approach creates a flexible system that can adapt to different needs and scenarios, helping DAOs build more complex and nuanced governance systems.
Modular governance creates a layered structure through the creation of sub-DAOs and side-DAOs, enabling them to operate semi-independently. This approach achieves more specialized and efficient governance at different levels, while maintaining overall coordination.
In DAO, Pods (introduced by Orca) are small autonomous teams with specific responsibilities aimed at improving coordination and decision-making within the organization. By delegating authority to manageable and composable subgroups, Pods achieve decentralized governance.
Example: Orca
The self-governed registry is a dynamic list maintained by core contributors. It achieves transparency and adaptability by allowing members to collectively update the registry based on changes in roles and contributions.
Example: Protocol Guild and other Guilds
In DAOs, clusters (introduced by rnDAOs) are flexible, task-oriented teams that are spontaneously formed to accomplish a specific project or task. They operate in a flexible and autonomous manner, enabling contributors to collaborate dynamically without the need for formal hierarchies.
Example: rnDAO
Token Economics
Dynamic unlocking creates a flexible token ownership schedule that can be adjusted according to various indicators or conditions. Unlike simple time-based ownership, tokens can be unlocked based on project milestones, market conditions, or participant behavior. This approach helps align incentive mechanisms and adapt to changing environments.
In order to participate in governance, tokens must be locked, which helps strengthen the alignment mechanism. This system helps to create a more sustainable tokenomics model.
Example: Unichain, Arbitrum governance, Tally Staking
Re-staking connects staked assets with governance rights, strengthening the link between economic interests and voting rights. This mechanism can include multiple ways to manage staking and voting rights, helping to integrate economic and governance incentives more closely.
This method is based on the allocation of tokens based on social media activities and engagement, creating a more organic and contribution-based distribution model. It can consider factors such as content creation, community participation, and trust networks, helping to align token distribution with actual community contributions and influence.
Example: Farcaster, Lens Protocol
Token launch platforms provide infrastructure for the issuance of new tokens, including complex pricing mechanisms such as bonding curves. These platforms typically offer features such as fair launches, progressive distribution, and price discovery, which help prevent common issues such as price manipulation and token concentration.
Example: Pump.fun
Ve/Gauge governance combines voting lock-up tokens with weighted emissions, creating a complex token allocation system. To participate in governance, tokens must be locked, which further strengthens incentive alignment and helps establish a more sustainable token economic model.
Example: Aerodrome, Mode, Puffer, Pendle