On-chain voting has made DAO decisions easier to audit, not automatically more democratic. In 2026, the evidence points to a mixed result: token concentration, delegation, turnout, interface design, off-chain steps and the way proposals are executed can matter as much as the blockchain record itself. There is no representative U.S. dataset that supports declaring one governance model the overall winner.
What “on-chain” means in DAO governance
A decentralized autonomous organization (DAO) uses software rules and community processes to make decisions about a shared treasury, protocol, membership, grants or other activities. “On-chain” describes where a proposal, vote or execution step is recorded: on a blockchain ledger that others can inspect and verify. “Off-chain” describes actions handled outside that ledger, such as a gas-free ballot on a voting platform, a forum discussion or a multisignature group carrying out a decision.
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Many DAOs are hybrids. A discussion may happen in a forum, an off-chain poll may measure sentiment, and a later on-chain transaction may execute the approved change. An on-chain ballot can therefore be transparent without being self-executing, while an off-chain vote can be influential without producing a blockchain transaction itself.
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What the 2026 evidence can—and cannot—prove
The strongest empirical study in the available literature is Han, Lee and Li’s 2026 article in Management Science. Its sample contained 705 DAOs that had at least 10 proposals by the end of the study period. The proposals were active from July 20, 2020, through September 1, 2024. The authors screened out many small or inactive spaces, including projects without an underlying business. That makes the findings useful for studying active governance systems, but it does not make the sample a census of U.S. DAOs in 2026.
An American Economic Association conference paper combined Snapshot voting records and delegation information with Tally data on on-chain delegation and Ethereum transaction data. Its method demonstrates why governance measurement often requires several datasets. It should not be read as a complete account of every DAO or as a national performance average.
A 2026 preprint examined associations involving option ordering, author signals and whether votes were visible. The authors use “bias” descriptively: they report statistical associations, not proof that an interface feature caused a particular vote. The result supports scrutiny of presentation and social context, not a claim that all DAO outcomes are manipulated.
Another 2026 study by Lloyd, Ó Broin and Harrigan mapped 61 DAOs and 72 DAO-to-DAO metagovernance relationships and discussed three case studies. Those counts describe that study’s network. They are not the number of connected DAOs worldwide, in the United States or on every blockchain.
Across these sources, no representative U.S.-wide 2026 statistic was established for turnout, proposal success, concentration or overall governance quality. Any article or dashboard presenting a single number as the American DAO average is making a broader claim than this evidence supports.
How the main governance models work
Token-weighted voting
In token-weighted systems, voting power is tied to the amount of governance tokens held or otherwise recognized by the rules. The model is legible: a participant can inspect a stated balance-to-vote relationship. It is also vulnerable to concentration. A small number of wallets, an investment entity or a treasury can control a large share of the votes, even when thousands of addresses are eligible.
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Token count is not the same as human participation. One person may control several wallets, and one wallet may represent a fund, a custodian or delegated interests. A fair assessment reports the denominator and the measurement date: eligible voting power, ballots cast, participating addresses and the share controlled by the largest holders.
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Delegation lets a token holder assign voting power to another address or representative. It lowers the burden on people who cannot follow every proposal and can create a layer of expertise between routine holders and complex decisions.
The trade-off is concentrated effective power. A proposal may show many eligible holders while only a few delegates actually make the decisions. Delegation can also be hard to measure. Snapshot panels may display delegations made there, while smart-contract delegation captured in on-chain systems may require separate Tally or transaction data. A count from one interface can therefore understate the total delegated power.
Off-chain voting
Snapshot is described in the Management Science study as a gas-free, off-chain voting platform. Removing a transaction fee can make voting accessible to smaller holders and avoid network congestion. The ballot still depends on the platform’s rules, the token-balance snapshot and the process for implementing the result.
Gas-free does not mean cost-free in every sense. Participants still need a wallet, a way to understand the proposal and confidence that an authorized actor will honor the outcome. An off-chain result is not automatically an on-chain transaction or a binding legal instruction.
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Hybrid governance
Hybrid systems combine forum discussion, off-chain signaling, delegated representation and on-chain execution. For example, a community might use an off-chain temperature check, then submit a formal transaction that changes a protocol parameter after a threshold is met.
Hybrid design can match the tool to the task, but it creates handoff points where authority may be unclear. Readers should ask which vote is decisive, who can submit the execution transaction, what happens if the executor disagrees and whether an emergency administrator can override the result.
DAO-to-DAO metagovernance
In metagovernance, one DAO holds another DAO’s tokens or receives delegated rights and votes on the second organization’s proposals. The displayed voter list may look broad while masking a relationship between the entities. Lloyd, Ó Broin and Harrigan argue that these links can obscure voter context and allow self-interested entities to influence decisions.
The study’s 61-DAO, 72-relationship network is evidence of that mechanism in a defined dataset, not proof that every DAO vote has hidden coordination. To evaluate a proposal, trace major voting addresses, their delegation links and any organizational relationship that could create a shared interest.
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Influence is usually distributed across several layers rather than captured by the wallet with the largest balance alone.
- Token holders: They supply the formal voting power, but may be inactive or split across multiple addresses.
- Delegates: They turn passive holdings into active votes and can become agenda-setters when many holders assign them power.
- Treasuries and insiders: A DAO treasury, founding team or affiliated entity may hold enough tokens to affect a threshold.
- Proposal authors: Their reputation, technical authority and framing can shape choices before a ballot opens.
- Interface operators: Ordering, labels, visibility and default displays can affect what voters notice. The 2026 preprint found associations with these features, but did not establish causation.
- Executors: A multisignature group, administrator or service may be responsible for turning a passed vote into an actual transaction.
“Who controls DAOs?” is therefore a question about the whole decision path: eligibility, delegation, information, thresholds and execution. A transparent ledger can show what happened without proving that influence was broadly distributed.
How to compare governance systems without misleading yourself
Use the following axes for any two DAOs or voting designs. The available studies do not provide a common 2026 U.S. scorecard, so comparisons should preserve each project’s chain, dates and sample rules.
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| Axis | Questions to answer |
|---|---|
| Participation | How much voting power was eligible? How many ballots and addresses participated? What denominator is used for turnout, and are wallets being treated as people? |
| Concentration | What share did the largest holders or delegates control on the measurement date? Are treasury, team and affiliated wallets identified? |
| Delegation | Does delegation exist? Is it visible on the voting platform, in smart contracts, or both? |
| Cost and access | Does voting require a transaction and gas? Are there technical, custody or minimum-balance barriers? |
| Binding force and execution | Is the vote advisory or binding? Does passing trigger an on-chain transaction, or must an off-chain actor implement it? |
| Transparency and design | Are proposal ordering, author signals, vote visibility, quorum and tally rules disclosed consistently? |
| Scope | Which chain, DAO sample and dates are included? Are inactive or small projects excluded? |
Report the exact measurement date and method for concentration and turnout. A percentage based on token weight answers a different question from a percentage based on addresses, and neither measures the number of people represented.
What “performance” looked like in practice
Participation and turnout
Delegation can raise the amount of voting power represented without increasing the number of people who cast a ballot themselves. Conversely, a high wallet count can coexist with low concentration if each address holds little power, or with high concentration if a few wallets dominate the tally. Performance claims should identify both participation breadth and voting-power coverage.
Representation and concentration
Token-weighting makes influence auditable in one sense: the rule can be read and balances can be checked. It does not guarantee proportional representation of users, customers or residents. Concentration analysis should distinguish ordinary holders from delegates, treasuries, custodians and connected entities.
Execution and accountability
A proposal that passes but is never executed has a different practical result from one that changes code automatically. Hybrid systems require an audit trail from discussion to ballot to transaction. If a multisignature group can delay or reject execution, that authority belongs in the governance description.
Interface effects
The preprint on voting biases links outcomes statistically with option order, author signals and vote visibility. Those findings justify documenting interface conditions when comparing votes. They do not establish that a particular ordering caused a decision or that a platform is universally biased.
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Cross-DAO influence
Metagovernance can make a proposal appear to have independent support when several voting entities are economically or organizationally connected. Mapping those ties is part of performance analysis, not an optional add-on.
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A practical audit workflow for a DAO vote
- Define the decision point. Identify the proposal, chain, voting platform, opening and closing dates, quorum and approval threshold.
- Separate stages. Record forum discussion, off-chain signaling, formal ballot and execution transaction as distinct events.
- Measure participation two ways. Capture participating addresses and the amount and percentage of eligible voting power. State whether the denominator excludes abstentions, non-voters or delegated power.
- Map delegation. Check the platform’s delegation panel and on-chain delegation contracts. Do not assume one source contains the other.
- Check concentration and relationships. Identify large holders, treasury addresses, delegates and possible DAO-to-DAO links at the vote date.
- Inspect presentation. Preserve the proposal text, option order, author identity or labels and whether interim results were visible.
- Verify execution. Find the transaction or authorized action that implemented the result. If none exists, label the vote advisory or pending rather than completed.
- Qualify the conclusion. State the sample and date limits. Do not turn one proposal, one network or one study into a national 2026 average.
U.S. legal and organizational context in 2026
Governance mechanics and legal status are separate questions. The SEC’s interpretive release issued March 17, 2026, effective March 23, 2026, addresses federal securities-law application to specified categories of crypto assets and transactions, with related CFTC guidance. The Federal Register version recounts the SEC’s 2017 DAO Report, which concluded that the tokens in that matter were investment contracts and therefore securities under the laws applied at the time. Neither document determines the status of every DAO token or every governance vote.
Organizational form also varies. An American CryptoFed SEC filing states that the organization converted from its predecessor DAO to a Wyoming unincorporated nonprofit association on June 9, 2026. The filing says it will automatically operate under Wyoming’s DUNA Act when it reaches 100 or more members. That is an issuer-specific filing, not a rule that all DAOs are Wyoming entities or receive identical treatment.
In a dissent concerning enforcement actions involving bZeroX and Ooki DAO, CFTC Commissioner Summer K. Mersinger wrote: “What is more, it affirmatively disincentivizes voting participation in DAO governance generally—and particularly those who may want to vote in a manner that effectuates change to comply with the law.” This is her dissenting characterization, not an adopted Commission finding. It illustrates why legal exposure can affect willingness to participate, but it does not settle the legal status of every voter or DAO.
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What to expect from DAO governance in America after 2026
The most credible direction is not a single winning model but better disclosure around mixed systems. Readers, researchers and members should expect serious evaluations to show where a vote occurred, how delegation was counted, who could execute the result and which relationships connected the voters.
On-chain records remain valuable because they are inspectable and difficult to alter retroactively. Their value is greatest when paired with complete context: off-chain discussions, platform settings, delegation sources, treasury and affiliate holdings, and the final execution transaction. Without that context, an immutable tally can still provide an incomplete picture of control.
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