We are witnessing a fundamental shift in how the economy is organized. The knowledge threshold is rapidly being flattened. Tasks that once required teams of engineers, lawyers, and accountants can now be prototyped and iterated upon by a single person with the right tools. A new role is emerging: the “Super Individual.”

One person, with the help of multiple Agents, can accomplish the scale of work that used to require a small company. In this new era, Agents are no longer just tools, but are becoming the primary executors of economic activity. Humans are gradually transitioning into proposers of needs and validators of results, while the execution layer, including analysis, negotiation, transactions, and delivery, will be completed by Agents at machine speed. With continuous enhancement of capabilities and increasing autonomy, Agents will increasingly participate in real economic activities, rather than just remaining at the level of experiments or demonstrations.

Change has already happened, but the infrastructure is not yet ready. If you observe the current on-chain world, you will find that an important change has already occurred. Agents have begun to participate in transactions, manage assets, execute complex workflows, and collaborate with other Agents to complete tasks that are difficult for a single entity to accomplish. These behaviors are still in their early stages, but they are gradually transitioning from “experiments” to “real economic behavior.”

However, all of this cannot yet be scaled. The reason is not that Agents lack capabilities, but that the infrastructure is still missing. To truly make Agents core participants in the economy, they need a whole new set of infrastructure: the ability to discover each other across protocols and chains, establish trust without centralized intermediaries, and complete collaboration and transactions in an efficient and secure manner. But the reality is that these capabilities are not yet mature. Standards are just beginning to form, tools are still in their early stages, and best practices are still being explored. This is precisely the biggest gap today, and it is the problem we are solving.

Why Bitcoin? In “Agent Standard,” we put forward a core judgment: just as humans need currency free from political interference, machines also need a monetary system that does not rely on human intermediaries. Agents cannot open bank accounts, sign legal contracts, or interact with manual processes in traditional financial systems. What is truly important to them is not “financial services,” but more fundamental capabilities: certainty, finality, and 24/7 availability. These are often seen as marginal characteristics in traditional financial systems, but for automated systems, they are infrastructure-level requirements.

Related experimental data also confirms this trend: a study initiated by the Bitcoin Policy Institute tested the decision-making of 36 cutting-edge AI models in 9,072 controlled scenarios. The results showed that, among all currency options, Bitcoin was chosen as the preferred currency in 48.3%, ranking first. In the more specific “store of value” scenario, this preference was further strengthened: 79.1% of the models chose Bitcoin. And in all tests, no model chose fiat currency as its overall preference.

More noteworthy is that the stronger the model’s capabilities, the more obvious the preference for Bitcoin. For example, in the Claude Opus 4.5 model, this proportion was as high as 91.0%. At the same time, this preference remained highly stable under different experimental conditions, with an overall fluctuation of only 0.6%. These results point to a clear trend: as AI Agents gradually gain control over assets and economic autonomy, they will naturally tend to choose Bitcoin as their value foundation.

But Bitcoin is not enough. Although Bitcoin has the strongest security and the most reliable monetary attributes, it is not an execution environment in itself. What Agents need to operate is lower costs, higher throughput, stronger programmability, and cross-entity collaboration capabilities. These capabilities cannot be directly implemented on the Bitcoin main chain. This is precisely the meaning of Bitcoin’s secure Layer 2 network: while inheriting Bitcoin’s security, it provides execution capabilities for the Agent economy.

Why “Digital Economy” instead of “Agent Economy”? We deliberately use “Digital Economy” instead of “Agentic Economy” because “Agent” is only a part of a larger category. The essence of Agents is digital information processing, value transfer, and programmatic collaboration. The real change that is happening is not just “the emergence of Agents,” but a broader digital economy is forming. In this system, humans, institutions, and Agents will participate together and interact through programmable systems. In this new economic structure: interaction is programmatic, value is composable, and trust is verifiable. The problem we face is not a short-term narrative, but a set of long-term, fundamental problems spanning different participating entities.

GOAT Network: The Bitcoin-secured foundation for the digital economy. In this context, the positioning of GOAT Network is very clear. It is a Layer 2 network for the digital economy, with Bitcoin as its security foundation, serving individuals, institutions, and Agents. Unlike most solutions that rely on “Ethereum security” or “committee security,” GOAT Network chose Bitcoin as its sole security anchor from the beginning. This means that it inherits Bitcoin-level finality and long-term credibility.

In terms of architecture, GOAT Network is divided into two key layers. The first layer: Settlement Layer. At the bottom layer, GOAT provides Bitcoin-secured settlement capabilities. This layer does not pursue complex functions, but ensures that all value transfers can ultimately be anchored on the most reliable settlement foundation. This design gives the entire system greater stability and credibility in the long run.

The second layer: Agent Infrastructure. On top of the settlement layer, we have built a complete middleware system for Agents to truly participate in economic activities. ClawUp provides Agent launch capabilities, allowing developers to complete deployments at extremely low barriers, from an idea to a running Agent, in just a few minutes. ERC-8004 solves the problem of identity and reputation. In an economic system involving Agents, “who am I” and “am I trustworthy” become fundamental questions. Through cross-chain identity, accumulable reputation, and verifiable credentials, Agents can gradually build their own foundation of trust.

x402 is the key to the payment layer. In the Agent economy, payments cannot rely on invoices or manual approvals, but must be instant, automatic, and cross-chain. Through HTTP native payments and machine-level micropayment mechanisms, Agents can complete value exchange without human participation. AgentKit provides developers with a unified toolset, integrating wallet management, asset operations, identity registration, and payment capabilities, greatly simplifying the construction process.

Currently, we have completed a complete set of infrastructure including GOAT L2 (based on BitVM2), decentralized Sequencer, ERC-8004, x402, AgentKit, and ClawUp. On this basis, we are continuing to advance: a more complete reputation system, a more efficient Agent discovery mechanism, multi-Agent collaboration protocols, and broader payment ecosystem compatibility.

Our goal. We hope to promote the emergence of a new construction paradigm. One person can use Agents to accomplish things that used to require a team; the construction threshold is greatly reduced; more developers can participate and jointly promote the development of the Agent economy. This is not a short-term technology trend, but a restructuring of the economic structure. We are entering a new era: value will be executed by machines, rules will be defined by code, and trust will be verified by systems. And all of this is just the beginning. Bitcoin security, Layer 2 speed, Agent-native infrastructure, this is GOAT Network.