The Soul of AI Agents: Crypto Contracts
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The Soul of AI Agents: Crypto Contracts
If computing power is the blood of AI, smart contracts will be the soul of AI.
Navigating Web3 tides with focused insightsAuthor: Anderson Sima, Executive Editor at Foresight News
If 2025 could have only one keyword, I would choose "AI Agent".
On January 6, OpenAI CEO Sam Altman stated he is now confident in having figured out how to build AGI (Artificial General Intelligence), predicting that by 2025 we may witness the first AI agents “joining the workforce” and significantly transforming business productivity.
I believe this is not alarmist rhetoric, but rather a new chapter in AI advancement.
The Emergence and Evolution of AI Agents
In the past six months, as artificial intelligence and blockchain technologies rapidly advance, AI Agents have gradually become a hot topic within the crypto space. These autonomous entities, built on AI technology, can simulate human cognition and decision-making processes, demonstrating high levels of intelligence and adaptability in perception, analysis, and action. While current AI Agents still fall far short of humans in overall intelligence, their emergence will redefine the relationship between humans and technology.
Today’s large models (such as ChatGPT) excel in language processing and content generation, yet their applications remain significantly limited. The core design of large models relies on generating probabilistically optimal outputs after training on massive datasets, meaning they function more like powerful "language engines" capable of answering questions or offering suggestions—but unable to truly initiate decisions or take actions independently. For instance, in complex enterprise management or emergency response scenarios, large models typically cannot move beyond the role of "advisors." In contrast, AI Agents can formulate and execute plans dynamically based on environmental changes and predefined objectives.
Take healthcare as an example: a large model might recommend potential treatments based on user-reported symptoms. However, in an emergency situation such as cardiac arrest, it cannot respond like an AI Agent, which could interpret sensor data to assess a patient's condition and immediately control medical devices to perform CPR.
In comparison, AI Agents surpass existing large models—not confined merely to "data processing," they complete a full loop from "perception" to "action." For example, in autonomous driving, AI Agents can analyze road conditions in real time, integrate traffic rules and vehicle status, determine the optimal route, and dynamically adjust driving strategies. In finance, AI Agents can track global market information in real time and dynamically rebalance investment portfolios to maximize returns.
The Code of Conduct for AI Agents: Smart Contracts
When AI Agents truly enter these application scenarios, they should be called "AI Beings"—a new species created by "Human Beings," with computing power serving as their energy source. Then comes the question: how should the behavior of such powerful intelligent agents be governed? My answer is: "smart contracts."
As the carrier of cryptocurrency, smart contracts are essentially agreements expressed in code. Through blockchain technology, they achieve the following characteristics:
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Decentralization: freeing themselves from reliance on traditional institutions.
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Immutability: ensuring the authenticity of transactions and records.
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Traceability: providing transparent information flows for all participants.
Unlike traditional contracts, smart contracts require no intermediaries—their execution depends solely on pre-coded rules. This not only improves efficiency but also greatly reduces the risk of human interference and potential loss of control.
If computing power is the blood of AI, then smart contracts are its soul.
AI Agents must follow established rules and ethical guidelines when performing tasks. Cryptocurrency-based smart contracts offer a natural solution. For example, in a decentralized logistics network, AI Agents can automatically schedule transportation and settle payments based on blockchain records, ensuring transparent resource allocation and transactions.
Imagine a decentralized education platform centered around cryptocurrency. An AI Agent could help students create personalized learning plans and distribute cryptocurrency rewards according to their academic achievements, encouraging continuous learning. Students’ grades, learning progress, and reward history would all be recorded on-chain, eliminating biases and human manipulation present in traditional education systems.
The combination of AI Agents and Crypto holds another major appeal: its seamless integration with game theory.
Game theory, fundamentally a science of decision-making, studies strategic choices and equilibria among competing parties. The cryptocurrency ecosystem provides an ideal stage for applying game theory. Interactions among miners, investors, and developers are essentially multi-party games, where blockchain protocols guide behaviors through mechanism design. For instance, in the Bitcoin network, miners compete for computational power to earn rewards, while protocol rules ensure network security and decentralization.
The integration of AI Agents and Crypto can further enhance decision-making capabilities and collaboration efficiency. In future smart cities, for example, AI Agents may be widely used in resource allocation and traffic management. With cryptocurrency incentive mechanisms and game-theoretic models, AI Agents can find optimal solutions across conflicting objectives:
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In energy management, AI Agents can negotiate priorities and cost allocations for energy usage, ensuring supply-demand balance.
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In international trade, AI Agents can use cryptocurrencies and smart contracts to enable instant settlements, avoiding delays and high fees associated with traditional banking systems.
Suppose a sophisticated AI Agent system named "J.A.R.V.I.S." emerges in the future. As a "digital assistant," it could coordinate multi-layered cooperation among individuals, enterprises, and governments. J.A.R.V.I.S. operates on a transparent and dynamically adjustable cryptocurrency system—users earn rewards by contributing data or services, while J.A.R.V.I.S. itself uses cryptocurrency to purchase necessary resources, thereby creating a closed-loop economy.
The rise of AI Agents and the widespread adoption of cryptocurrency will jointly usher in a new era of collaboration:
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Human-AI Collaboration: AI Agents serve as intelligent assistants to individuals and businesses, taking over repetitive tasks and allowing humans to focus on creative work.
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Human-Human Collaboration: Cryptocurrencies ensure fairness and transparency in cooperation, incentivizing broader participation.
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AI-to-AI Collaboration: AI Agents share resources and exchange knowledge via cryptocurrency, enabling more efficient coordination.
Potential Risks of AI Agent + Crypto Integration
On one hand, while combining cryptocurrency and AI Agents is theoretically feasible, technical implementation still faces numerous challenges. For example:
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Security Issues: Although blockchain touts decentralization and immutability as key advantages, vulnerabilities in smart contracts could be exploited maliciously, leading to financial losses or system failures.
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Scalability Issues: Current mainstream blockchains (e.g., Ethereum) have limited performance in handling large-scale transactions and executing smart contracts, potentially becoming a bottleneck for widespread AI Agent deployment.
On the other hand, once behavioral rules for AI Agents are codified via cryptocurrency-powered smart contracts, they may lack flexibility in addressing complex ethical dilemmas. For example:
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Accountability: If an AI Agent causes damage due to smart contract execution, who bears responsibility—the developer, the smart contract designer, or the end user?
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Privacy Concerns: AI Agents require real-time processing of vast amounts of data. How this data is stored, used, and shared could spark serious privacy debates.
Furthermore, introducing cryptocurrency may exacerbate economic inequality. After integrating AI Agents with cryptocurrency, those with technological advantages may further consolidate dominance in economic activities. Individuals and small-to-medium enterprises excluded from this wave of AI and cryptocurrency innovation may be marginalized due to inability to afford the technology costs, thus worsening social inequity.
The convergence of AI Agents and cryptocurrency represents the nascent form of a technological revolution. Its promise lies in enhancing efficiency and fairness through rule-based automation, driving transformative shifts in collaborative models. Yet this technological fusion is no panacea—its complexity and risks demand caution in both development and societal application. We must actively explore its value while remaining vigilant against the inequalities and uncertainties it may introduce.
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