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The conversation around the future of AI-driven finance is gaining traction, and according to industry leaders, $XRPand the $XRPLedger may be at its center.

In a recent podcast discussion, Evernorth CEO Asheesh Birla and T54.ai CEO Chandler Fang outlined why blockchain, and specifically XRPL, is uniquely suited to power the emerging AI agent economy.

Key Points

Why AI Agents Need Crypto Infrastructure

Fang explained that traditional financial systems don’t work well for AI agents. Unlike humans, AI runs nonstop and interacts through APIs, not apps or interfaces. So it needs a system that works 24/7, like an “internet of money.”

Banks and older systems have limited hours and rely on manual processes, so they can’t keep up. Blockchain, on the other hand, is always on, automated, and easy to program, making it a better fit for AI-driven transactions.

$XRPLedger’s Edge: Cost and Efficiency

Fang emphasized that cost is one of the most critical factors for AI-driven transactions. Based on T54.ai’s experience processing over 20 million agent-native transactions, most of these payments are microtransactions.

This is where XRPL stands out.

Transactions on the network cost fractions of a cent, often with multiple zeros after the decimal, making it economically viable for agents to transact at scale.

High fees or slow throughput on other chains would make such use cases impractical, but XRPL’s design enables fast, low-cost settlement that aligns with the needs of automated systems.

Ripple’s Network and Global Reach

Beyond cost, Fang pointed to the more expansive ecosystem built by Ripple as a major advantage.

Ripple’s established network of financial institutions and cross-border payment corridors provides AI agents with access to a global financial infrastructure. This includes connections to hundreds of destinations worldwide, enabling seamless international transactions.

He also highlighted the growing ecosystem around XRPL, including stablecoin integrations and treasury management capabilities, which expand the range of use cases for both supply and demand sides of the economy.

Building the Agentic Economy on XRPL

Combining ultra-low fees, high speed, and deep financial integrations, Fang argued that XRPL is uniquely positioned to support “trusted agentic economy.”

As AI agents increasingly handle tasks like payments, trading, and resource allocation, the need for efficient, scalable financial rails will only grow. In this context, $XRPand XRPL are emerging not just as payment tools, but as foundational infrastructure for a new class of digital economic activity.

Overall, the idea is that the next big wave in crypto may be driven not just by people, but by AI systems that need quick, cheap, and global ways to move money.

This detailed match analysis covers key moments, player performances, and tactical insights. Download the full report in PDF format.