Techub, citing U.Today, reported that RLUSD settlement volume handled by AI agents on the XRP Ledger rose 103% over the past seven days to 135.99 tokens. Over the same period, XRP transaction volume fell 6%, pointing to a shift by algorithm-driven programs away from the more volatile native token and toward a dollar-pegged stablecoin. The reported change suggests that autonomous systems are adjusting payment behavior to manage budget risk during periods of market volatility. Data in the report also said that, since XRP began rising on Aug. 19, autonomous systems have increased the share of stablecoin payments as part of a broader currency diversification approach. At the same time, the total number of transactions in the AI segment increased 51%. U.Today said the trend offers a technical precedent for keeping autonomous systems running during sharp swings in crypto asset prices.
Techub, citing U.Today, reported that RLUSD settlement volume generated by AI agents on the XRP Ledger climbed 103% over the past seven days to 135.99 tokens.
Over the same period, XRP transaction volume fell 6%. The report said this points to algorithmic programs shifting away from the more volatile native token and into a dollar stablecoin to hedge budget risk.
Stablecoin usage rose after XRP's price increase
Data in the report showed that, since XRP started rising on Aug. 19, autonomous systems have diversified currency exposure by increasing the share of stablecoin payments.
At the same time, the total number of transactions in the AI segment rose 51%. According to U.Today, that provides a technical precedent for operating autonomous systems during periods of sharp volatility in crypto assets.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
