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    Home » Addressing the Payment Challenge for AI in Web3 Opinion
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    Addressing the Payment Challenge for AI in Web3 Opinion

    By adminApr. 4, 2025No Comments4 Mins Read
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    Addressing the Payment Challenge for AI in Web3  Opinion
    Addressing the Payment Challenge for AI in Web3 Opinion
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    Disclosure

    The views and opinions expressed here belong solely to the author and do not represent the views and opinions of ethdaily.net’ editorial.

    Autonomous AI agents are already helping us automate complex tasks, from trading crypto and executing DeFi trades to optimizing cloud compute, thinking and acting independently, responding to high-level instructions without constant human input. Imagine telling an AI agent, “Order the cheapest large pepperoni pizza in the area and have it delivered to me.” The AI would then go off, search for the best price, make the purchase, and arrange for delivery.

    But how does the AI pay for the pizza?

    Instead of relying on traditional banking systems, your AI agent could have its own wallet, accessible only by it. You could then set up a multi-signature wallet, where both you and the AI must approve any transaction before it’s sent. This approach greatly enhances security, as the AI can only spend funds in the wallet that you’ve approved.

    Alternatively, you could allow the AI full access to your crypto funds, or you could send specific tokens like USD Coin (USDC) directly to its wallet for transactions. Each option offers different security levels, but one thing is clear: blockchain-based payment systems provide greater flexibility and control than traditional fiat solutions, and they can easily be customized to suit individual user preferences.

    The problem is, current DeFi infrastructure, designed primarily for human users and speculative assets, falls short when it comes to supporting AI-driven economies. To unlock the full potential of AI in web3, we must address the payment problem head-on with intelligent stablecoins and dedicated financial infrastructure.

    The mismatch between AI and DeFi

    DeFi protocols are built for human actors who manually interact with liquidity pools and trading platforms. However, AI systems operate autonomously, often requiring microtransactions and instant access to compute resources, data feeds, and other services. The inability of current DeFi infrastructure to handle machine-to-machine payments in a trustless and efficient manner creates a bottleneck for AI innovation.

    The solution lies in intelligent stablecoins, digital assets pegged to real-world value that can autonomously manage payments and access liquidity pools. Unlike volatile cryptocurrencies, stablecoins provide the stability necessary for AI systems to operate without the risk of price fluctuations.

    With intelligent stablecoins, AI agents can purchase compute resources, access data feeds and APIs, execute cross-chain settlements, and manage subscription-based services. This stable, programmable financial layer allows AI-driven economies to function without human intervention, unlocking new levels of efficiency and scalability.

    Driving adoption of stablecoins for AI transactions

    For AI-driven transactions to scale, the industry must push for broader stablecoin adoption across payment networks, marketplaces, and DeFi protocols. Seamless integration with existing crypto infrastructure will ensure AI agents can transact freely, without being limited by liquidity shortages or network inefficiencies.

    Partnerships with major payment processors, cloud providers, and decentralized compute networks will be key to creating an ecosystem where stablecoins become the default payment method for AI-driven services. By aligning incentives between AI developers, stablecoin issuers, and financial platforms, we can accelerate adoption and establish a new financial standard for machine-native transactions.

    The road ahead

    To truly solve the payment problem for AI in web3, the industry must develop intelligent stablecoins that can handle microtransactions and cross-chain settlements, implement decentralized compliance frameworks to meet regulatory standards, build machine-native liquidity pools to support AI-driven economies, and aim to foster partnerships with OTC desks to enhance stablecoin liquidity.

    By addressing these key areas, we can create a financial backbone that empowers AI protocols to thrive in the decentralized digital economy.


    .author-card__photo

    Ian Estrada.author-card__name

    Ian Estrada is a product builder by trade, memecoin and stablecoin enjoyer by passion. Currently advancing the development of DefAI infrastructure as the CEO of Maitrix, creating the DeFi layer for AI tokens. Former VP at GCash (over 100M users), with over 10 years of product experience in payments, lending, and credit risk. Crypto since 2020..author-card__bio

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