Autonomous AI agents settling payments on the XRP Ledger are leaning hard into Ripple USD (RLUSD) rather than native XRP for day-to-day machine spend, according to an analysis of XRPL AI Hub data summarized by U.Today (Sept. 26) and relayed by PAPER / Web3Paper.

Over the past 30 days of direct payment-settlement trends cited in that coverage, RLUSD maintained an overwhelming lead while XRP payment volume stayed comparatively flat — a preference framed around predictable unit costs for software that runs 24/7 budgets, not a judgment that XRP lacks other roles (such as interbank liquidity).

Why agents want a dollar rail

Coinbase CEO Brian Armstrong has argued machines “absolutely need predictable costs”; percent-level hourly moves in a floating asset can break agent cost models. RLUSD’s 1:1 dollar peg is the point. The same coverage cites BlackRock’s “Machine-Native Economy” research framing a global stablecoin market above $300 billion with annual transaction volume near $11.6 trillion as the calculation layer for high-frequency micro-payments banks’ human schedules struggle to match.

Friday’s desk covered Ripple’s XRPL AI Starter Kit for x402 agent payments in XRP or RLUSD. Sunday’s angle is usage, not kit launch: agents appear to choose the stable rail when settling spend. That does not equal confirmed XRP buying. Infrastructure story — not a price call. Not investment advice.

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