analysis

AI Agents on XRPL Pick RLUSD Over XRP, BlackRock Says

Editorial · Sep 26, 2026 · 8 min read

BlackRock is now making a narrower and more uncomfortable claim than its general machine-money argument: autonomous AI agents operating on the XRP Ledger are settling their transactions in regulated stablecoins, principally Ripple USD, rather than in XRP itself. According to coverage from Bitget and Cryptonews.net, agents using XRPL infrastructure for continuous, around-the-clock settlement have shifted toward regulated stablecoins over native crypto assets. The observation is anecdotal rather than a dataset, but its source matters — the world’s largest asset manager is documenting, in public, that machine payments gravitate toward stable units of account.

What BlackRock Actually Said

The claim is an extension of the digital-assets paper we covered earlier this week, in which BlackRock argued that AI agents paying each other continuously for data, software and compute will drive new stablecoin demand because cards and wires cannot serve machine-to-machine commerce. The XRPL-specific detail is new: agents built on XRPL infrastructure — a chain whose native asset, XRP, was explicitly designed for fast, cheap settlement — are still choosing a dollar-denominated stablecoin when given the option. That undercuts the standard defense that a purpose-built settlement token should win machine payments on its own rails. Agents, like corporate treasurers, appear to want a fixed unit of account for pricing and reconciliation, not a token whose value moves several percent a day.

The Problem for Native-Asset Value Capture

The bull case for native settlement tokens has always rested partly on transactional demand: more payments, more demand for the token. If AI agents route those payments through a stablecoin issued on the same chain, transactional volume grows while native-token demand does not. On XRPL this is sharpened by Ripple’s own positioning: RLUSD is a regulated, dollar-backed stablecoin issued by the same company that promotes XRP, and Ripple’s recent XRPL AI Starter Kit — which we covered on September 25 — implements x402 machine payments in both XRP and RLUSD. Agents can choose, and per BlackRock’s observation, they increasingly choose the stablecoin. Issuers of native tokens elsewhere, from Ethereum gas-fee bulls to other L1 settlement narratives, face the same structural question.

Why Agents Prefer Regulated Stablecoins

The preference is not sentimental. An agent pricing a data feed or a compute job needs a stable denomination so its budgeting logic, spending caps and profit calculations remain coherent across thousands of microtransactions. Volatility in the settlement asset introduces accounting noise that no autonomous system wants to manage. Regulation adds a second layer: BlackRock’s framing emphasizes “regulated” stablecoins, suggesting compliance-conscious institutional deployment of agents will default to issuers with clear reserve and supervisory frameworks. This aligns with the GENIUS Act implementation now underway at the Federal Reserve, which we covered on September 24 — regulatory clarity on the stablecoin side makes regulated issuers the path of least resistance for enterprise agent payments.

What to Watch

Three things will test whether this is a trend or a talking point. First, whether RLUSD circulating supply and XRPL payment volume show a measurable divergence — stablecoin transfer growth outpacing XRP payment growth. Second, whether the pattern repeats on other chains: if agents on Base or Solana similarly favor USDC over native assets for settlement, the native-token transactional-demand thesis is broadly weakened. Third, whether BlackRock converts its own observation into product — the firm has moved from narrative to funds before. For now, the signal is directional but consistent: machine payments want stable money, and the chain that hosts the agent matters less than the stablecoin the agent holds.

Sources

E
Editorial
Related reading

Related reading