Decentralized Autonomous Organizations (DAOs) stand as one of the most exciting applications of trustless technology within the web3 ecosystem. For a decade, these digital cooperatives have been working to transform how we think about organizational governance and collective decision-making. Now, as artificial intelligence sweeps across every corner of the digital world, DAOs stand at the threshold of their next evolution. Building upon our earlier explorations of Yield Optimization, Social DeFi, and Decentralized Identity, we turn our attention to how artificial intelligence (AI) is reshaping DAOs, and potentially solving their greatest challenges while unlocking new capabilities.
Let’s start with a brief history of DAOs, how they work, and the roles they play in the blockchain ecosystem. We’ll then explore how AI can improve governance efficiency and resource allocation. Following that, we’ll examine how AI can streamline the decision-making process within DAOs through predictive analytics and automated voting systems. Finally, let’s look at some current DAOs implementing AI technology and offer predictions about their future.
The potential for DAOs was quickly realized with the introduction of smart contracts in 2015. The theory of programmable and trustless agreements, laying the groundwork for decentralized governance, had been discussed in the years leading up to the initial DAOs.
One of the first attempts at creating a DAO came in 2016 with the infamous venture capital backed DAO, simply known as The DAO. It quickly raised $150 million in capital but became notorious after a reentry code vulnerability led to the draining of one-third of the funds. The episode led to a blockchain hard fork, fracturing the Ethereum community over the issue of reversible transactions.
Over the next decade, DAOs would undergo a series of experimentation, growth, and maturation. Following the 2017 ICO boom, notable DAOs like Aragon, MolochDAO, and MakerDAO emerged, demonstrating the versatility of DAOs in collective funding, governance, and community coordination.
A golden age of DAOs came during in the 2021 bull run, coinciding with the rise of DeFi. DAO projects like Uniswap, Aave, and ConstitutionDAO rose to prominence and showcased the popularity of decentralized governance and collective funding, with the latter example coalescing around the shared goal of purchasing a first edition of the United States Constitution.
In the last couple of years, DAOs have matured further, gaining legal status in Wyoming and Utah, while accelerating collaborative decentralized science (DeSci) funding and research in projects like VitaDAO, ValleyDAO, and Opscientia.
However, despite their successes and the variety of use cases they provide, DAOs have been under persistent attack from regulatory bodies. Also, the concentration of voting power in the hands of a few large token holders has led to voter apathy and disengagement across many DAO protocols. The introduction of AI can potentially alleviate some of these pain points.
Throughout their colorful history, DAOs have repeatedly been used as decentralized means to pool user funds for larger investments that individuals could not achieve on their own. While this application remains a primary use case, DAOs also provide essential infrastructure for trusted decentralized governance and sharing of non-financial resources.
DAOs have introduced a dynamic option for real-time, globally decentralized governance so that people cancollaborate in an immutable peer-to-peer manner. Zero-knowledge proofs and decentralized IDs have further enhanced decentralized governance by enabling private voting. The potential for decentralized governance provides real-world utility while adhering to the early values of the cypherpunk movement. This is a key reason why DAOs remain popular in the blockchain community.
Part of the beauty of DAOs is the diversity of stakeholders that can participate in governance. However, due to the technical nature of DAOs, blockchain technology, and coding in general, the writing of proposals and compliance checks remains concentrated among the few participating members fluent in technical copywriting and legal studies.
Significant improvements in DAO governance proposals could be achieved by introducing AI chatbots and utilizing natural language processing (NLP). This would reduce entry barriers so that anyone could make protocol proposals and increase the efficiency of drafting new policies, allowing for more dynamic and diverse DAO communities.
DAOs have created unprecedented access for individuals to participate in governance and decision-making. However, this access can sometimes become limiting when DAOs attempt to coordinate around new proposals. Allowing everyone an opportunity to participate can be time-consuming and inefficient. For investment DAOs that often need to take decisive action around changes in market conditions, this can adversely affect the overall performance of the organization.
AI can optimize the decision-making process in DAOs by introducing automated voting systems, proposal mechanics, and dynamic yield optimization investment strategies. AI's predictive analysis can synthesize the historical data of DAO voting behavior, make protocol proposals that have a higher chance of passing, or simply be used for funding and investment allocation. For investment DAOs, AI could be leveraged to enable dynamic responses to exit volatile positions without requiring a full vote.
AI's ability to democratize proposals within DAOs through NLP and chatbot interfaces can improve the distribution of governance by opening up opportunities to all members. At the same time, AI's ability to balance this distribution to maximize fairness while not impacting its scalability can be achieved by optimizing proposal feasibility. MolochDAO is one such DAO utilizing AI for this purpose.
MolochDAO is a decentralized funding DAO for Ethereum infrastructure projects. It was launched in 2019 and has helped fund everything from community hackathons, conferences, and educational programs to helping provide research grants leading up to The Merge, when the Ethereum blockchain transitioned to a proof-of-stake consensus mechanism.
MolochDAO has embraced AI to refine its predictive analytics when assessing which proposals to consider. It does so by utilizing AI to analyze similar previous ideas and track their success rate, impact, and alignment with the broader Ethereum Roadmap. By integrating AI in this manner, MolochDAO can more efficiently establish which projects can have the highest impact while saving time and resources previously used to assess the same metrics manually.
The Aragon DAO is a DAO launch platform that facilitates the creation, management, and governance of DAOs. Initially launched in 2017 as a non-profit, it has since launched over seven thousand successful DAOs across DeFi protocols, investment funds, and community collectives.
Since integrating AI into the platform, Aragon has been able to identify underfunded projects with high potential and recommend community-funded adjustments. It can do so by leaning on AI's predictive analytics of on-chain data. This allows the platform to quickly identify launched DAOs’ spending patterns and outcomes to reprioritize those that align with the ecosystem.
AI-enhanced DAOs show the promise of enacting a critical upgrade to decentralized governance. The practical implementations at MolochDAO and Aragon demonstrate that these technologies are already addressing key challenges of voter apathy, technical barriers, and coordination inefficiencies.
By combining human empathy with AI's analytical capabilities, these hybrid organizations could finally deliver on the original promise of DAOs: truly democratic digital entities accessible to anyone, regardless of technical expertise.