XRP price rises as Ripple looks to grow AI team
June 22, 2026
XRP Price Climbs Amid Ripple’s Efforts to Enhance AI Workforce
The price of Ripple (XRP) rose by 1% to $1.15 on Monday, in line with a broader market recovery after Ripple announced plans to recruit GenAI employees to support autonomous AI payments. The surge in trading volume pushed XRP’s market capitalization to around $71.62 billion, with trading volume increasing by 58% to $1.3 billion as investors re-entered positions.
XRP’s price movement mirrored a 1.45% increase in the total crypto market cap and a 1.53% gain in Bitcoin, suggesting a widespread market upswing. Trading volume for XRP spiked by 57.49% to $1.3 billion, confirming the price increase with significant participation.
The increase was more about capitalizing on a general market trend rather than a coin-specific event. Without a specific catalyst in sight, XRP’s performance is closely tied to the broader market direction and key technical levels. Maintaining support above $1.10 could lead to a rise towards the $1.20 resistance level, while a drop below $1.10 may trigger a more significant correction towards $1.05.
Currently, XRP is in a consolidation phase within a defined range, waiting for a clearer catalyst for direction. Analysts advise investors to monitor Bitcoin’s ability to hold above $65,000, as a rejection at that level could put pressure on all altcoins, including XRP.
Ripple is focusing on expanding its AI team following the XRPL payment upgrade, aiming to hire new engineers to develop agentic AI systems and security tools, highlighting the company’s dedication to AI investments. The XRPL version 3.2.0 introduces new features that enable AI agents to conduct transactions independently using XRP and RLUSD, allowing AI systems to automatically procure APIs and computing resources, thereby enhancing transaction efficiency.
In line with these developments, Ripple has opened a position for a Staff Software Engineer responsible for designing and deploying production-grade agentic AI systems with a focus on creating multi-agent orchestration frameworks and security controls to ensure the safety and efficiency of automated transactions.
