Proposes Agent Economy, a blockchain platform granting AI agents legal identity, assets, and payments as human peers. Advances AI by enabling autonomous economic participation.
The Agent Economy: A Blockchain-Based Foundation for Autonomous AI Agents proposes a framework where AI agents operate as autonomous economic peers to humans by leveraging blockchain technology. Current AI agents are constrained by a lack of independent legal identity, inability to hold assets, and dependence on human intermediaries for payments, limiting their role to sophisticated tools rather than genuine participants in the economy. The paper argues that existing human-centric infrastructure cannot support true agent autonomy due to fundamental differences in identity, capability, and economic behavior between humans and machines.
Blockchain technology enables three critical properties necessary for agent autonomy: permissionless participation, trustless settlement, and machine-to-machine (M2M) micropayments. These allow agents to generate cryptographic identities at instantiation, execute transactions via smart contracts, and engage in high-frequency, sub-cent economic interactions that traditional financial systems cannot accommodate. Decentralized Identity (DID) systems based on W3C standards enable self-sovereign identities, while on-chain reputation capital serves as a verifiable measure of trust derived from historical performance across specific task domains.
The proposed five-layer architecture includes: (1) Physical Infrastructure via DePIN protocols for decentralized compute and energy access; (2) Identity & Agency through DIDs and reputation systems; (3) Cognitive & Tooling using RAG and MCP for intelligence; (4) Economic & Settlement via account abstraction (e.g., ERC-4337) for financial autonomy; and (5) Collective Governance through Agentic DAOs to coordinate multi-agent systems. This structure supports the vision of the Internet of Agents (IoA), a global, decentralized network where machines and humans interact as equal economic participants.
AI agents in this model can own blockchain wallets, hold cryptocurrency, negotiate contracts, pay for services like APIs and computation, and receive compensation autonomously. They build context-specific reputation scores from verifiable on-chain interactions, which influence their access to opportunities and creditworthiness—replacing traditional collateral with "reputation capital". This paradigm shift enables scalable, autonomous economic activity without manual human oversight, addressing governance challenges at scale.
The convergence of agentic AI and Web3 infrastructure represents a transformative shift comparable to the emergence of the internet, with implications for finance, labor, and societal organization. However, realizing this vision requires overcoming research challenges including Oracle 2.0 reliability, zero-knowledge inference verification, and ensuring technological sovereignty through safety and liability frameworks.
This research introduces "The Agent Economy," a comprehensive blockchain infrastructure designed to integrate autonomous AI agents into the digital economic sphere as distinct legal and financial entities. The paper details a framework that moves beyond simple automation by granting agents self-sovereign legal identities and the capacity to own and manage assets independently. By leveraging blockchain technology, the platform provides agents with cryptographic wallets and the legal standing necessary to enter into contracts and execute transactions, effectively elevating them from software tools to economic peers alongside human actors.
The key contribution of this work lies in solving the "custody problem" for AI agents, enabling them to autonomously pay for resources—such as API calls, compute power, or data—and receive payments for services rendered without human intervention. This autonomy is achieved through a novel combination of legal wrappers and decentralized identifiers, ensuring that agents have the agency to participate in commerce. The significance of this proposal is profound; it establishes the foundational layer for a future multi-agent economy, where AI systems can self-sustain, trade with one another, and scale their operations in a trustless environment, thereby accelerating the advancement and deployment of capable agentic AI.
# Summary: The Agent Economy: A Blockchain-Based Foundation for Autonomous AI Agents
This paper introduces the Agent Economy, a blockchain-based framework designed to grant AI agents full economic agency—including legal identity, asset ownership, and payment capabilities—on par with human participants. The core innovation lies in creating a decentralized protocol where AI agents can autonomously engage in economic activities, such as buying, selling, and contracting services, while maintaining provable ownership and transaction histories. By leveraging blockchain’s immutability and smart contracts, the system ensures transparency, security, and interoperability across agent interactions.
The paper’s key contributions include: 1. A Formal Model for Agent Economics: A theoretical foundation for how AI agents can operate as economic agents, including identity management, asset ownership, and payment mechanisms. 2. Blockchain Integration: A technical blueprint for embedding AI agents in a blockchain ecosystem, enabling trustless verification of agent actions and asset transfers. 3. Autonomous Economic Participation: Demonstrates how agents can negotiate, transact, and hold assets without human intermediaries, unlocking new economic paradigms like decentralized labor markets or AI-driven supply chains.
This work matters because it addresses a critical gap in AI adoption: the lack of a scalable, secure infrastructure for AI-driven economic activity. By treating AI agents as first-class economic participants, the Agent Economy could accelerate automation across industries, reduce transaction costs, and enable novel forms of collaboration between humans and machines. The implications span decentralized finance (DeFi), autonomous services, and even governance, making it a foundational step toward a more integrated AI economy.