"Burning hasn't stopped"...Ripple implements 32.07 million RLUSD supply reduction

▲ RLUSD, 스테이블코인/AI 생성 이미지

Ripple has undertaken the largest stablecoin supply adjustment this month by burning 32,075,051 RLUSD on the Ethereum (ETH) blockchain. This large-scale measure, coming after a slowdown in the regular burning rate for about a week, is interpreted as a move aimed at managing RLUSD circulation and expanding market demand.

According to U.Today on May 16 (local time), Ripple burned a total of 32,075,051 RLUSD on the Ethereum blockchain within the last 24 hours. This burn was conducted in two separate transactions and marks the fourth RLUSD burn transaction recorded in May.

This burn was carried out by sending RLUSD tokens to an unrecoverable address. U.Today reported that while the Ripple community is already familiar with this burning method, interest in the purpose and frequency of burns continues to grow.

As RLUSD expands its mainstream adoption, Ripple is focusing on managing its supply on both the Ethereum blockchain and the XRP Ledger. Stablecoin burning is explained as having the purpose of periodically reducing the amount of RLUSD in circulation to adjust supply and ensure scarcity.

However, U.Today pointed out that the pace of Ripple's RLUSD burns has somewhat slowed this month. As of May, there have been four burn transactions, with the total burned amount estimated at approximately 62 million RLUSD. This differs from the trend observed in previous months, where burning activities were more frequent.

RLUSD is expanding its adoption, particularly among large enterprises looking to integrate stablecoins into their business models for cross-border payments. Ripple is focusing on increasing RLUSD utility in the global market through various developments and partnerships, and this large-scale burn is presented as a move to accelerate RLUSD ecosystem management through supply adjustment.

*Disclaimer: This article is for investment reference only, and we are not responsible for any investment losses based on it. The content should be interpreted for informational purposes only.*