In Web3’s age of AI-powered “super individuals,” will this be good for DAOs?

For more than a decade, Web3 has embraced the idea that collective intelligence can create fairer organizational structures. DAOs are the clearest expression of that belief: strangers from around the world collaborating openly in decision-making and governance.

But the rise of AI is quietly reshaping that premise.

When one person can deploy multiple AI Agents to conduct research, execute trades, manage assets, and even engage in governance, work that once required a DAO or an entire team starts to converge into a new unit: “individual + AI.”

That raises a new question: will this be good for DAOs and the broader crypto world?

1. AI Is Exponentially Amplifying Individual Capability

Over the past year, AI has advanced at an almost exponential pace.

From early chat assistants to today’s AI Agents that can write code, conduct research, and execute tasks autonomously, a clear trend is emerging: AI is exponentially expanding what individuals can do.

Today, with AI, an average individual can handle many tasks that once required a team, from analyzing on-chain data and organizing research to automatically running arbitrage or DeFi strategies.

In other words, AI is shrinking many team-based functions into a new operating unit: “individual + AI.” That also helps explain why more Web3 projects are starting to talk about “AI-native organizations,” where humans set goals and make judgments, while AI handles execution and coordination.

And in many ways, DAOs were one of the earliest testing grounds for this model.

From the beginning, DAOs have tried to solve one core problem: how to enable strangers around the world to collaborate. But in practice, DAO governance and operations have long faced familiar challenges, including inefficient information processing, complex decision-making, and high participation costs in time and attention.

AI offers a new path for addressing these issues. It can organize proposals and governance discussions, generate voting analysis reports, execute parts of on-chain operations, and manage community information flows automatically. In the end, once AI is brought into governance workflows, a DAO’s core team may become much smaller while overall efficiency rises sharply.

This is also a key point of convergence between AI and Web3: DAOs decentralize organizations, while AI automates execution.

2. The New Trend: AI Agents + Wallets

But for AI to truly participate in the on-chain economy, it still needs three core capabilities: asset custody, transaction execution, and trusted settlement.

And those are exactly the things blockchains do best.

As mentioned earlier, on September 15, 2025, the Ethereum Foundation launched its AI team, dAI. Its core mission is to invest resources in defining standards, incentives, and governance structures for on-chain AI models, including model trustworthiness—that is, how to make AI behavior verifiable, traceable, and collaborative in a decentralized environment.

It is in this context that ERC-8004 has been pushed forward as one of the core standards. Unlike payment-focused protocols such as x402, ERC-8004 does not directly answer the question of “how money moves.” Instead, it tackles a more fundamental one: without platform backing, how can AI Agents be identified, trusted, and brought into economic collaboration?

This is why the group behind ERC-8004 matters. Led by the Ethereum Foundation’s dAI team, with participation from Google, Coinbase, and MetaMask, it brings together three critical entry points at once: AI, trading, and wallets. The scale of that support sends a clear signal: this is not an application-layer experiment, but a long-term bet on infrastructure.（Further reading: “A Passport to the AI Agent Era: Why Ethereum is Betting Big on ERC-8004”）

A simple analogy may help: if ERC-8004 is AI’s “ID,” then the wallet is its “account and execution layer.” After all, if AI is to truly participate in economic activity, it must be able to manage assets, pay fees, and sign approvals.

Traditional wallet interfaces are built for humans: we interact with UIs and click to confirm. But in the AI world, interactions happen in milliseconds, at high frequency and at scale. That is giving rise to a new form—the “Agent Wallet”—with wallets gradually becoming AI’s asset interface and execution layer:

• Non-custodial authorization: You can create a separate, restricted sub-wallet for your AI Agent. It can trade autonomously within limits you define—for example, no single transaction above 500 USDC—without requiring manual approval every time. Your master key always remains in your hands; the AI acts only as an authorized delegate.
• Cross-chain asset management: AI can monitor your assets across more than 100 chains in real time and rebalance, stake, or arbitrage based on the strategies you set. That frees you from tedious day-to-day monitoring, so you can focus on higher-level decisions.
• Human-machine collaboration: This is not about giving up control entirely. Instead, it supports flexible approval mechanisms—for example, auto-execution for smaller transactions and alerts for larger ones. AI identifies opportunities and prepares transactions; you make the final call. This model combines human judgment with AI’s execution efficiency.

From this perspective, compute is not AI’s endgame. Wallets are the real gateway to the AI economy.

Stablecoins such as USDT and USDC are, in many ways, well suited to AI-native finance: they are borderless, programmable, and capable of near-instant settlement. That makes them a natural fit for AI’s pursuit of speed, low cost, and minimal friction.

Seen from this angle, once AI-driven economic activity begins operating on a millisecond timescale, the only infrastructure that can truly support that pace is crypto’s on-chain money and wallet stack.

3. Ethereum: AI Financial Infrastructure Taking Shape

That is why more and more developers are starting to view Ethereum as financial infrastructure for AI.

One recent data point worth noting is that Ethereum’s staking queue has surpassed 3.8 million ETH, suggesting that more capital is flowing into the network to help secure it while earning yield.

Put simply, from DAO coordination to on-chain agents to wallets as AI’s asset interface, Ethereum is gradually evolving into the foundational infrastructure of the AI economy.

In the AI era, this kind of stable infrastructure matters greatly, because AI Agents may eventually need to manage assets automatically, participate in DeFi autonomously, and execute trades on their own. All of that depends on a trusted, decentralized settlement layer.

For now, Ethereum still appears to be the most mature option.

As noted before, what Ethereum is really competing for here is a subtler role: the underlying settlement layer for AI coordination. In this vision, AI Agents across different platforms, chains, and organizations may operate in their own environments, but when they need to establish trust, hold value, or settle outcomes, they ultimately return to a commonly recognized neutral layer.

This new role aligns closely with Ethereum’s emerging position in the global financial system. It is not trying to become the fastest execution layer, nor is it trying to absorb every application scenario. Instead, it is settling into a more foundational long-term role: a trusted layer for settlement and coordination.

Overall, in this structure, blockchain may become more than just a financial system. It may also become trusted infrastructure for the AI economy—with Ethereum at the center of that shift.

The convergence of AI and crypto is far more than a simple layering of technologies. From DAO organizational structures to Ethereum’s infrastructure to the combination of AI Agents and wallets, a new path is coming into view: individual capability is being amplified, organizational structures are being reshaped, AI handles execution, and blockchain handles settlement.

In the coming years, we will likely see more AI-driven on-chain economic activity, while Ethereum and wallets may become the key gateways connecting humans, AI, and the on-chain world.

Let’s wait and see.