AI Agents Will Need Money: Why Stablecoins Could Become The Native Payment Layer For AI

Ken Nizam is the co-founder of AsiaTokenFund Group, ATF Capital and 1M Technology, a Web3 and Fintech venture studio and accelerator.

For decades, software has been remarkably good at processing information but remarkably bad at moving money. An application can search the internet, analyze millions of documents, generate software and make recommendations in seconds. But when it needs to pay for an API call, purchase computing resources or compensate another software service, it usually has to stop and wait for a human, a credit card or a traditional billing system.

AI agents are changing that equation. As AI moves from answering questions to independently taking actions, agents will increasingly need to become economic actors. They will book services, purchase data, consume computing power, negotiate with vendors and potentially transact with other agents.

That raises a fundamental question technology leaders should start addressing now: If AI agents can act independently, how will they pay?

The answer may be stablecoins.​

From AI Assistants To Economic Actors​

The first generation of AI assistants primarily generated information. The next generation will increasingly execute tasks.

Imagine telling an AI agent, “Find the best flight to Tokyo, book it within my budget, arrange transportation and update my calendar.” The agent may need to interact with several services, each involving a transaction.

Now take this further. Imagine a software development agent that needs additional computing power for 15 minutes. Instead of relying solely on a monthly cloud subscription, it could purchase computing resources dynamically. Or a research agent could pay a data provider a few cents for access to a proprietary dataset.

These transactions are fundamentally different from traditional e-commerce. They may be extremely frequent, low value and machine-to-machine.​​