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- AI agents have been responsible for encouraging more than 80% of organizations to increase their investment in artificial intelligence. (<\/span>Source<\/span><\/a>)\u00a0<\/span><\/li>\n
- Almost 77% of workers in the Asia-Pacific zone have reported that their companies are trying out AI agents in different capacities. (<\/span>Source<\/span><\/a>)<\/span><\/li>\n<\/ul>\n
Artificial intelligence agents are powerful software solutions that can perceive the environment around them and use reasoning to make decisions or execute multi-step tasks with minimal human intervention. Blockchain<\/a> can offer a strong foundation for the growth of AI agents and together, they can support a wide range of use cases.<\/span><\/p>\n
Unraveling the Feasibility of Using AI Agents in Blockchain<\/b><\/h2>\n
The best way to learn about the use cases of agentic AI in blockchain and crypto requires identifying why they complement each other. It is important to understand the inherent limitations of centralized architectures that you will find in AI implementations. The utility of AI agents in crypto depends significantly on the challenges one can expect with standard AI systems, such as,<\/p>\n
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- Operating within walled gardens<\/span><\/li>\n
- Dependence on centralized cloud providers<\/span><\/li>\n
- Lack of transparency in databases and traditional financial systems<\/span><\/li>\n<\/ul>\n
The impact of these challenges leads to many critical bottlenecks, thereby calling for blending capabilities of AI agents with the power of blockchain. Where can you see AI agents and blockchain meeting each other?<\/span><\/p>\n
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Economic Autonomy<\/b><\/h3>\n<\/li>\n<\/ul>\n
You can think that AI agents can do almost any task autonomously without human intervention. However, it is important to know that AI agents cannot open a bank account or hold fiat currencies like a human customer. If you bring crypto wallets<\/a> into the picture, AI agents can gain native, permissionless financial agency.<\/span><\/p>\n
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Interoperability\u00a0<\/b><\/h3>\n<\/li>\n<\/ul>\n
Smart contracts<\/a> work as standard, immutable APIs that agents can leverage to interact with the decentralized app ecosystem. It provides an open avenue for AI agents to interact with various blockchains by using uniform cryptographic protocols.<\/span><\/p>\n
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Trust and Verifiability<\/b><\/h3>\n<\/li>\n<\/ul>\n
The list of AI agents in blockchain examples also draws attention towards the implications of AI agents making high-stakes autonomous decisions. On-chain audit trails and execution logs combined with zero-knowledge proofs<\/a> can offer more room for verifying the inferences drawn by AI agents. As a result, the agent inputs and computations can remain immune to unwanted tampering.<\/p>\n
You can notice that blockchain offers economic infrastructure and cryptographic identity to AI agents while AI agents bring cognitive reasoning, automation and responsiveness to blockchain.<\/span><\/p>\n
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<\/a>\u00a0Certified \u2014 Gain in-demand skills to manage agentic AI workflows across the full AI agent lifecycle and lead the future of intelligent automation<\/p>\n<\/blockquote>\nIdentifying the Top Use Cases of AI Agents in Blockchain<\/b><\/h2>\n
The ideal approach to figure out how AI agents can become valuable additions to the blockchain space requires an overview of their use cases. You can see AI agents bringing some revolutionary changes in the domain of blockchain and crypto with diverse applications.<\/span><\/p>\n
1. Autonomous DeFi and Intelligent Liquidity Management<\/b><\/h3>\n
Decentralized finance or DeFi<\/a> is one of the most prominent and valuable applications of blockchain technology that brings deep liquidity to the space. However, the fragmented liquidity pools and round-the-clock operations in DeFi create difficulties for manual asset management. The search for answers to \u201cWhat are AI agents in crypto?\u201d will lead you to understand how agents can make the big push towards next generation of DeFi.<\/p>\n
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Flash Loans and Arbitrage<\/b><\/h4>\n<\/li>\n<\/ul>\n
AI agents are capable of continuously monitoring cross-chain liquidity pools, order books and decentralized exchanges<\/a> to detect smallest price movements. The agents can deploy off-chain simulations of transaction execution and design complex multi-step arbitrage routes. You will also witness growing use of AI agents for execution of flash loan transactions in milliseconds.\u00a0<\/span><\/p>\n
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Yield Optimization\u00a0<\/b><\/h4>\n<\/li>\n<\/ul>\n
DeFi users can move beyond static yield farming and rely on AI agents for dynamic reallocation of capital across different lending protocols. AI agents can use different factors, including gas fee estimates, smart contract audit<\/a> scores and real-time risk modeling, to determine the ideal protocols that deliver more yields to users.<\/span><\/p>\n
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Dynamic Risk Management\u00a0<\/b><\/h4>\n<\/li>\n<\/ul>\n
AI agents have the capability to analyze micro-market structures and unprecedented liquidity flows, which makes them the ideal tools to automatically adjust collateral ratios. DeFi users can also choose hedging positions in future contracts to protect their assets during flash crashes.<\/span><\/p>\n
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Enroll now in the\u00a0DeFi Development Course<\/a>\u00a0to understand the best ways to use DeFi development tools like Solidity, React, and Hardhat.<\/p>\n<\/blockquote>\n
2. Decentralized Governance with AI-Powered DAOs<\/b><\/h3>\n
The next big area in blockchain where AI agents can make a mark is decentralized governance. You can pick any Decentralized Autonomous Organization or DAO<\/a> and find that they frequently suffer from issues like voter apathy, slower execution and complex governance proposals. The benefits of AI agents use cases in blockchain can help in addressing these challenges of existing DAOs.<\/p>\n
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Summarizing Proposals and Delegating Votes<\/b><\/h4>\n<\/li>\n<\/ul>\n
AI agents can make DAO management a lot easier by analyzing lengthy governance proposals and running risk simulations. As a result, AI agents can provide concisely relevant impact summaries to DAO participants. On top of it, DAO members can also delegate voting power to AI agents that are configured with specific strategic goals and risk parameters.<\/span><\/p>\n
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Treasury Management<\/b><\/h4>\n<\/li>\n<\/ul>\n
The treasuries of DAOs are one of the toughest aspects to manage, especially with billions of assets at stake. AI agents can work as automated treasury managers that can execute token buybacks, grant disbursements and diversify portfolios according to community-approved parameters.<\/span><\/p>\n
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Governance Attack Mitigation<\/b><\/h4>\n<\/li>\n<\/ul>\n
AI agents have the power to monitor who participates in DAO governance in real time. They can also detect governance attack vectors and malicious exploits before any harmful proposal gains approval.<\/span><\/p>\n
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Enroll now in the\u00a0DAO Fundamentals Course<\/a>\u00a0to develop fluent knowledge of the DAO ecosystem and best practices for participants.<\/p>\n<\/blockquote>\n
3. Decentralized Compute and Data Marketplaces<\/b><\/h3>\n
The effect of centralization in the AI landscape is clearly visible in the lack of hardware availability and proprietary data silos. Blockchain networks can rely on AI agents to develop permissionless compute and data markets. Some blockchain protocols<\/a> allow AI agents to purchase, sell and verify compute power. The agents can dynamically bid for computing resources and use them for training or running inference models.\u00a0<\/span><\/p>\n
AI agents working on blockchain networks can also develop and sell clean datasets curated for specific use cases. Agents can also leverage zero-knowledge proofs and federated learning mechanisms to use private user data for training models without affecting confidentiality.\u00a0<\/span><\/p>\n
What Will AI Agents in Blockchain Look Like in Future?<\/b><\/h3>\n
The extended scope for innovation with agentic AI in the blockchain and crypto space definitely offers strong reasons to think about their future together. You can witness applications of AI agents in blockchain inducing massive paradigm shifts. The biggest outcome of the combination of AI agents and blockchain will be seen in the form of an agent-centric economy.<\/p>\n
In this new ecosystem, AI agents can interact seamlessly with the decentralized application<\/a> ecosystem and conduct transactions without manual intervention. You can expect new developments like standardized protocols for communication between agents and zero-knowledge proof algorithms driving specialized hardware. On top of it, AI agents can also launch their custom software-as-a-service products on blockchains with independent monetization mechanisms.<\/span><\/p>\n
Final Thoughts\u00a0<\/b><\/h3>\n
The combination of AI agents and blockchain technology is not just another trend that will fade away with time. On the contrary, it represents a major shift in the design of foundations for the next generation of the internet. Blockchain can provide the decentralized economic rails, verifiable trust and governance required for AI agents to work independently and safely. AI agents bring intelligence, autonomous decision-making and efficiency to complex decentralized networks, thereby making the blockchain<\/a> space more sophisticated. Discover more about blockchain technology and AI agents to understand how they work together.<\/span><\/p>\n
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*Disclaimer: The article should not be taken as, and is not intended to provide any investment advice. Claims made in this article do not constitute investment advice and should not be taken as such. 101 Blockchains shall not be responsible for any loss sustained by any person who relies on this article. Do your own research!<\/em><\/p>\n<\/blockquote>\n
The post AI Agents in Blockchain: Use Cases and Future Outlook<\/a> appeared first on 101 Blockchains<\/a>.<\/p>\n
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- Dependence on centralized cloud providers<\/span><\/li>\n
- Almost 77% of workers in the Asia-Pacific zone have reported that their companies are trying out AI agents in different capacities. (<\/span>Source<\/span><\/a>)<\/span><\/li>\n<\/ul>\n