DAOs as a Business Model: Insights and Examples

DAOs represent one of the most genuinely interesting governance experiments in Web3, but I think the industry has overcorrected in its enthusiasm for them as a universal business model.

The promise is real: decentralized decision-making, community ownership, and transparent on-chain governance. But the execution gap is significant. Most DAOs struggle with voter apathy, slow decision cycles, and the tension between decentralization and operational efficiency. For institutional partners, that unpredictability is a hard sell.

That said, one DAO I find genuinely compelling is MakerDAO (now Sky). What makes it interesting isn’t the hype—it’s the durability. Maker has managed billions in collateral through multiple market cycles while iterating on its governance structure in real time. It’s one of the few examples where decentralized governance has been stress-tested at scale, and the ongoing evolution toward SubDAOs shows a mature attempt to solve the efficiency problem without abandoning the decentralization ethos.

My honest take: DAOs work best as coordination layers, not as replacements for structured corporate governance. For companies operating at the institutional level where compliance, accountability, and speed matter, a hybrid model is more realistic. Use DAO mechanics where they add value (community alignment, protocol governance), but don’t mistake decentralization for a business strategy.

The most interesting Web3 companies in the next five years will be the ones that borrow selectively from the DAO playbook rather than adopting it wholesale.

I’m Runbo Li, Co-founder & CEO at Magic Hour.

DAOs are one of the most fascinating organizational experiments happening right now, but most people are thinking about them wrong. They treat DAOs like a replacement for traditional companies. They’re not. They’re a new coordination layer for groups of people who share economic incentives but don’t need a CEO telling them what to do every morning.

The DAO that genuinely caught my attention early was ConstitutionDAO. A group of strangers on the internet raised over $40 million in less than a week to try to buy a copy of the U.S. Constitution at a Sotheby’s auction. They lost the bid, but that’s not the point. The point is that thousands of unrelated people pooled capital, organized around a shared mission, and moved faster than most venture-backed startups could wire funds. That speed and alignment without hierarchy is the real unlock.

Where DAOs fall apart is governance. I’ve watched multiple DAOs grind to a halt because every decision becomes a vote, and voter fatigue kills momentum within months. The ones that work tend to operate more like small, opinionated teams with token-based accountability, not pure direct democracy. MakerDAO is a good example of evolving through that tension. They’ve restructured multiple times to balance decentralization with the ability to actually ship decisions.

As a business model, DAOs make the most sense when the value being created is communal and the contributors are distributed. Think open-source protocol development, collective investment vehicles, or creative collectives where IP ownership matters. They make less sense when you need a single throat to choke, fast pivots, and tight product loops. That’s why Magic Hour is a company, not a DAO. We need to move at the speed of AI, and governance tokens would slow us to a crawl.

The real lesson from DAOs isn’t about blockchain. It’s about what happens when you align incentives transparently and let people self-organize. Every founder should study that mechanism, even if they never touch a smart contract. The future of work isn’t “everyone votes on everything.” It’s “everyone knows exactly why they’re here and what they get if we win.”

DAOs have the potential to create effective business structures if they include the shared management component in the value that they provide to the protocol the DAO is managing (particularly for any type of community-managed infrastructure or product line as well as those managed by a centralised treasury). They can be very beneficial for projects where speed does not trump other important factors like accessibility and participation by stakeholders or where distributed control is a more important decision-making mechanism than a single centre of authority.

For example, the ENS DAO governs (not only symbolically but also practically) a real piece of the Internet Community (the ENS domain name system), rather than simply using decentralisation as part of a promotional scheme. The decisions that the ENS DAO is making regarding both the governance of the ENS protocol as well as how funds from the treasury are used are very much tied to the practical governance structure for how these decisions are made within the overall ENS ecosystem, thereby making it possible to view the implementation of this DAO model as something that is more functional than not. So, to summarise: DAOs work best when governance is an integral part of the product or service being developed/not forced onto a product/service that can be better served by a more traditional, single-leader/management structure.

I think DAOs are a fascinating governance experiment, but a pretty shaky excuse for a business model when people use them as a substitute for actual leadership. A lot of Web3 teams romanticized the idea that “the community” could run everything, and what they got instead was slow decisions, voter apathy, whale politics, and forums full of people roleplaying parliament. The DAOs I find most interesting are the ones that stop pretending they’re pure democracy and instead build real structure around delegation, guardrails, and clear operating mandates.

Arbitrum DAO is a good example because it does not just throw token holders into the deep end and call it governance. It has delegates, a Security Council, formal proposal processes, and constitutional rules, which makes it feel a lot closer to an operating system for governance than a chaotic group chat with a treasury. Arbitrum’s docs make clear that governance is shared between the DAO and an elected 12-member Security Council, and that the DAO can even change that structure through constitutional proposals.

That’s what makes it interesting to me: it acknowledges the uncomfortable truth that decentralization without structure usually turns into dysfunction. The most durable DAOs will not be the ones that sound the most ideological; they’ll be the ones that blend community input with enough institutional muscle to actually ship, respond to risk, and make decisions before the market moves on. In Web3, a DAO works best when it behaves less like a slogan and more like a serious governance machine.

My honest opinion on DAOs as a business model is that the concept is more interesting than most of the execution has been, and the gap between the two is the real story of Web3 governance over the last five years.

The pitch for DAOs, on paper, is compelling. A decentralized autonomous organization pools capital, coordinates contributors, and makes collective decisions through token-weighted voting, with the organization’s rules encoded transparently on-chain. No centralized leadership, no opaque boardroom decisions, no single point of capture. That model genuinely does solve certain coordination problems that traditional corporate structures handle badly, particularly around open-source software funding, protocol governance, and community-owned projects.

The problem is that most DAOs in practice have run into the same operational wall. Governance by token vote scales terribly. Most token holders do not participate in most votes. The ones who do are often large holders whose interests diverge from the broader community. Decisions that should take days take weeks.

Decisions that require genuine expertise get made by people who do not have that expertise because voting power and competence are not the same thing. The organizations end up either drifting into inactivity or quietly concentrating power in a small group that does most of the real work, which is exactly the structure the DAO was supposed to avoid.

That said, the criticism should not be that DAOs have failed. The criticism should be that most early DAOs tried to use the model for things it was never well suited to, and the ones that succeeded are the ones that narrowed the use case.

The example I find most interesting right now is Nouns DAO, and specifically how they have handled the tension between decentralization and execution.

Nouns auctions one NFT per day, with all proceeds going to the DAO treasury. Holders vote on how that treasury gets spent, typically funding projects that expand the Nouns brand and ecosystem. What makes it interesting is the constraint architecture. The DAO is not trying to govern a product, a protocol, or a workforce. It is governing a treasury with a narrow mandate around cultural and brand expansion. That scope is something token-weighted voting can actually handle well. Simple proposals, clear outcomes, no need for deep operational expertise.

I’ve spent over 20 years coordinating between general contractors, architects, and inspectors for complex medical facility builds and commercial tenant improvements. I see DAOs as a digital evolution of the strict building codes and permit submittals I draft daily, where the “contract” is automated to ensure every stakeholder meets the required spec.

In my experience running Retrofit Plumbing, the most significant business bottlenecks are often administrative delays in project management and scheduling. The DAO model is promising because it could theoretically trigger automatic payments and resource allocation the moment a plumbing installation passes a code inspection.

I find CityDAO particularly interesting because it applies decentralized governance to physical land and urban development. As someone who handles new construction and commercial remodels, I’m fascinated by any system that could potentially streamline the outdated zoning and permitting processes we navigate in cities like Covington or Renton.

Whether you are building a decentralized organization or installing a high-efficiency tankless water heater, the priority is always long-term performance and reliability. If you manage a small business, focusing on these types of operational efficiencies is the best way to prevent the kind of “clogged” workflows that eventually lead to emergency plumbing crises.

The DAO model fascinates me as a marketplace operator at GpuPerHour because it tries to solve a problem we live with every day: how do you align incentives between platform, supply side, and demand side without a single party owning all the upside? Traditional marketplaces are zero-sum on margin. DAOs propose a positive-sum alternative where contributors hold governance and economic rights proportional to their participation.

The most instructive DAO business model I’ve followed is Akash Network in our adjacent space (decentralized compute). Akash isn’t a competitor for us in the strict sense, since we operate a curated B2B marketplace, but the comparison is illuminating. Akash uses a token (AKT) that providers stake to list capacity, that users spend to consume compute, and that holders use to vote on protocol changes. The business model isn’t “platform extracts a cut” in the SaaS sense, it’s “the protocol mints and burns a token whose value reflects network throughput.”

What works about it:

It bootstraps supply quickly. Providers join because the token has speculative upside, not just fee revenue.

Governance isn’t theater. AKT holders have voted on real changes to provider economics, audit grants, and roadmap priorities.

It removes the rent-seeking middleman from the unit economics. Users pay close to provider cost.

What doesn’t work, in my honest read:

Token volatility is the user-facing pricing. Buyers hate this. Our customers at GpuPerHour want a stable hourly rate they can budget. AKT price swings introduce uncertainty into a workflow where uncertainty kills adoption.

Onboarding requires wallet setup, gas fees, and tolerance for failed transactions. We get customers from credit card to running job in under five minutes. Akash takes much longer for a non-crypto-native user.

Quality control under decentralized governance is genuinely hard. Bad providers in a curated marketplace get removed by the operator. In a DAO, removing them requires a vote.

The honest synthesis: DAOs are a beautiful solution to coordination problems where the participants are already crypto-native. They struggle when the buyer is a CFO who wants a Stripe receipt. The best version of the model is probably hybrid: centralized UX, decentralized supply and governance.

Faiz Syed, Founder of GpuPerHour

I believe DAOs can be a viable business model in Web3 when they are built around a clear purpose and a commitment to serving members. At my spa I have learned that lasting success comes from focusing on quality of service and positive impact, and that principle applies to DAO design. DAOs that prioritize community benefit over speculation are more likely to sustain engagement and trust. One DAO I find interesting is Gitcoin DAO because it centers public goods funding and gives stakeholders a direct voice in resource allocation. Its model of community-driven grants aligns with my belief that businesses should measure success by the positive outcomes they create. That said, running a DAO effectively requires clear governance, transparent communication, and consistent attention to member needs. If these elements are present, DAOs can amplify purpose-driven work and create new ways for customers and stakeholders to participate in value creation.

Although the use of Decentralized Autonomous Organizations (DAOs) as a model of business has gained a great deal of attention, they may not be the best framework for operating businesses under normal circumstances. While the model can be very effective in creating structures that design around the challenges faced by a community of users motivated by similar incentives (including the community of users forming a DAO), most business enterprises require well-defined ownership accountability and clarity in how decisions are made. Although DAOs do provide many advantages, including providing transparency, visibility of treasury funds and community participation, if critical decisions are made as governance decisions then DAOs will have limitations. Therefore, I believe that DAOs most effectively support stewardship as well as give grants to support their use.

An interesting DAO is Optimism’s “Collective,” which has a distinct two-part governance structure. The two houses, named the “Token House” and the “Citizens’ House,” create a framework for token holders to participate in the governance of the DAO while ensuring that decisions made by the “Citizens’ House” are based on the reputational ranking of the individual holders, as opposed to merely voting on a proposal from the Token House. The design of the Collective is a much different approach than most token-based voting systems because it provides a mechanism to mitigate the potential for the “holder of the most tokens” problem. Gitcoin is another interesting example for similar reasons; they have developed governance structures that encourage progressive decentralization and support greater and faster submission of proposals from community members, in contrast to using the term decentralization as a label. The most compelling reason to view a DAO as a valuable model is the structure in which it operates. A well-designed DAO will operate like an operating system with defined checks and balances, accountability roles and cadence systems, rather than simply a wallet and a voting mechanism.

I believe DAOs can be a viable Web3 business model when they demonstrate predictable funding patterns and disciplined governance. In my work I first review claims stability over time and want to see two to three years of data to understand whether costs are spread across the population or tied to a few large events. For that reason, an insurance-style DAO that pools contributions with transparent rules and clear, repeatable contribution patterns is the kind of structure I find most interesting. If expense drivers are visible and the group accepts controlled risk with operational discipline, it becomes much easier to assess appropriate funding strategy.

The most interesting thing about DAOs is that they challenge the idea that business legitimacy must come from a central authority. In Web3, credibility can be built through transparent records, collective decision-making, and a culture where people feel seen rather than managed. That said, DAOs are only effective when governance is intuitive enough for real participation. If the structure is too complex, the community becomes symbolic instead of active. We often see stronger results when the mission is clear and the incentives support long-term contribution.

Friends With Benefits is a DAO I find notable because it blends community, identity, and belonging in a way that feels culturally aware. Its appeal goes beyond mechanics and shows that people commit more deeply when a decentralized model creates relevance, not just access. That human layer is what gives a DAO staying power.