Solving payment issues for AI in Web3

Autonomous AI agents are already helping us automate complex tasks, that the trading crypt and execution deficit calculates, thinking and behaving independently, reacting to high-level instructions without a constant man. Imagine saying AI agent “Order the cheapest large pizza pepperone in the area and did it deliver me.” And then he would leave, looked for the best price, bringing a purchase and arrange for delivery.

But how do you pay for pizza?

Instead of relying on traditional banking systems, your AI agent may have its own wallet, it is only available on it. You could then place a wallet with multiple signatures, where you and AI must approve any transaction before it was sent. This approach greatly improves security because AI can spend funds only in the wallet you approved.

Alternatively, you can allow AI full access to your crypto funds or you can send specific tokens like the USD carrier (USDC) directly to her transaction wallet. Each option offers different levels of security, but one thing is clear: Payment systems based on blockCaine provide greater flexibility and control from traditional FIAT solutions and can be easily adapted to individual user preferences.

The problem is, the current definitive infrastructure, primarily designed for human users and speculative property, falls when it comes to supporting economies with AI. To unlock the full potential AI in Web3, we must deal with the payment issue based on intelligent stablecoins and dedicated financial infrastructure.

Mismatch between AI and Definity

The deficols are built for human actors who communicate manually with liquidity pools and trade platforms. However, and the systems work autonomously, often requiring microtranskers and instant access to the calculation of resources, data feeds and other services. Inability to manage machines for machine-machines in an untrust and effective way for AI innovation is created and effective.

The solution lies in Intelligent stablecoinsDigital funds related to the value in a real world that can only autonomously manage payments and access pools of liquidity. Unlike volatile cryptocurries, stablecoins provide stability needed for AI systems to work without risk fluctuating prices.

With intelligent stablecoins, and agents can buy resource calculation, accessed for data and APIs, execute settlement settlements and services based on subscriptions. This stable, programual financial layer allows economies to AI to function without human intervention, unlocking new levels of efficiency and scalability.

Drive by adopting stablecoins for AI transactions

For AI’s transactions on the scale on a scale, the industry must encourage the wider adoption of stablecoins via payment networks, marketplates and deflation. Seamless integration with existing crypto infrastructure will ensure that agents can be free to deal with, without limited flaws of liquidity or network inefficient networks.

Partnerships with major payments processors, cloud providers and decentralized calculations will be crucial for creating ecosystems where stablecoins become the default payment method for AI services. By aligning stimulus between programmer AI, publishers of stablecoin and financial platforms can accelerate adoption and establish a new financial standard for machine and settlement transactions.

The road ahead

To really solve the payment problem for AI in Web3, the industry must be developed by microtranschopies and cross-settlements, implement decentralized frameworks, construction machinery and are intended to support AI’s support for AI support.

Addressing these key areas, we can create a financial backbone that authorizes and protocols to succeed in a decentralized digital economy.

Ian Estrada

Ian Estrada is a product builder trade, memecoin and enjoying stablecoin with passion. The development of defai infrastructure is currently being progressed as the Director General Maitrik, creating a definitive layer for AI tokens. Former VP on GCASH (over 100 million users), over 10 years of product experience in payment, lending and credit risk. Cripto of 2020. years.