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Author: Admin | 2025-04-28
To adjust access fees to their API as usage increases and decreases, rather than setting a single cost-prohibitive standard.In a future where on-chain activity is dominated by agents interacting with agents, something like this will be necessary to ensure the agents can interact with each other in a way that is not cost-prohibitive. This is an early example of how using agents on permissionless and cost-efficient payment rails opens the possibilities for new marketplaces and economic interactions. Outlook The Agents space is still nascent. Projects are just beginning to roll out functioning agents that can handle simple tasks using their infrastructure – which is often only accessible to sophisticated developers and users. Over time, however, one of the biggest impacts AI agents will have on crypto is UX improvements across all verticals. Transacting will begin to move from point and click to text based, with users having the ability to interact with on-chain agents through LLMs. Already teams like Dawn Wallet are introducing chat-bot wallets for users to interact on chain. Additionally, it is unclear how agents could operate in web 2 where financial rails are dependent on regulated banking institutions that do not operate 24/7 and cannot conduct seamless cross-border transactions. As Lyn Alden has highlighted, crypto rails are especially attractive compared to credit cards due to a lack of chargebacks and the ability to process microtransactions. If agents become a more common means of transacting, however, it is likely that existing payment providers and applications move quickly to implement the infrastructure required for them to operate on existing financial rails, mitigating some of the benefits of using crypto. For now, agents are likely to be confined to deterministic crypto-to-crypto transactions where a given output is guaranteed for a given input. Both models, which dictate the capacity of these agents to figure out how to execute complex tasks, and tooling, which expands scope of what they can accomplish, require further development. For crypto agents to become useful outside of novel on-chain crypto use cases will require broader integration and acceptance of crypto as a form of payment as well as regulatory clarity. As these components develop, however, agents are primed to become one of the largest consumers of decentralized compute and zkML solutions discussed above, acting in an autonomous non-deterministic manner to receive and solve any task. ConclusionAI introduces to crypto the very same innovations we already see playing out in web2, enhancing everything from infrastructure development to user experience and accessibility. However, projects are still early in their evolution and near-term crypto and AI integration will be primarily dominated by offchain integrations. Products like Copilot will “10x” developer efficiency, with layer 1s and DeFi applications already rolling AI-assisted
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