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The core thesis for crypto in an AI world is that agents need a financial system that doesn't rely on human biometrics for authentication. By equipping agents with their own crypto wallets, platforms like MoonPay are building the infrastructure for them to transact autonomously, making crypto the native currency for a new machine economy.

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Stablecoins are better suited for AI agent payments than credit cards. They mitigate the security risk of sharing card details and enable the programmatic creation of countless wallets for agent swarms. This allows for a future where every API call could be a micro-transaction paid with stablecoins.

CZ predicts millions of AI agents will soon transact on our behalf, booking hotels and making micropayments. Traditional banking systems cannot handle this volume, speed, or the KYC requirements for non-human entities, making crypto the only viable payment rail for the agent economy.

The internet was designed for human interaction, actively discouraging bots. The next evolution will reverse this, with AI agents becoming the primary users. This requires re-architecting everything from user interfaces to business models, with crypto likely serving as the native payment rail for these autonomous agents.

The initial hype around using crypto for decentralized AI compute has faded due to high costs. Instead, VCs like Dragonfly Capital are focused on agentic payments, where swarms of AI agents will need a global, programmable payment rail for micropayments—a problem blockchain is well-suited to solve.

A key sci-fi milestone has been reached: an autonomous AI agent successfully used the Bitcoin Lightning Network to provision a server and purchase API access for its own 'child' bot. This creates a fully automated, economic closed-loop for AI self-replication, demonstrating a future where AI ecosystems can grow independently of human financial systems.

As AI agents become sophisticated, they'll need to pay for services. Traditional banking is too slow and fragmented for them. Crypto, as the internet's native money, provides the instant, global, low-fee rails for AI agents to transact with each other and with web services, creating a major new use case.

An emerging narrative suggests that as AI agents increasingly perform autonomous work and transactions 24/7, they will require 'frictionless money' to operate. U.S. dollar-pegged stablecoins are positioned to fill this role, creating a nascent but potentially massive new channel of non-human demand for the currency as these agents transact.

Dragonfly's managing partner argues that attempts to apply crypto to non-financial domains have largely failed. Crypto's core, enduring value is as programmable money. Its next major growth vector will be serving as the native financial rails for AI agents to transact autonomously with each other.

AI agents are turning to crypto not just for efficiency, but out of necessity. The traditional financial system is a dead end for non-human entities, as an AI cannot get a credit card or open a bank account. Crypto provides the permissionless financial rails required for AI agents to operate and self-replicate economically.

For AI agents to be truly autonomous and valuable, they must participate in the economy. Traditional finance is built for humans. Crypto provides the missing infrastructure: internet-native money, a way for AI to have a verifiable identity, and a trustless system for proving provenance, making it the essential economic network for AI.

MoonPay Positions Crypto as the Native Financial Rail for Autonomous AI Agents | RiffOn