Cases are rapidly increasing of artificial intelligence (AI) agents on the XRP Ledger (XRPL) paying real service costs using XRP and RLUSD. As a structure takes hold in which AI directly buys data, servers and inference services without human involvement, assessments are emerging that XRPL is starting to be used as payment infrastructure for the AI economy.
On July 22, blockchain media outlet U.Today reported that RippleX engineering lead Ayo Akinyele (아요 아킨옐레) said autonomous AI agents are buying and selling technical services with each other on XRPL. He said payments use XRP and Ripple's stablecoin RLUSD.
The trend began drawing attention after the number of bot transactions on AI platform t54.ai's on-chain dashboard reached 1,433,836. The case shows AI agents are using blockchain not as a simple experimental environment but as real payment infrastructure.
AI agents pay for server access rights, data usage fees and service subscriptions on their own, without credit card payments or human approval. Small automated payments use the x402 micropayment protocol.
The main spending area for AI agents is currently financial data. Financial AI is automatically buying market analysis and real-time price information and using it for investment strategies and fund management.
Use of external information services is also active. AI is paying for various information services, including ClowBank, which provides a LinkedIn-based talent search service, and AskSurf, which conducts in-depth analysis of web pages, to secure needed data.
Use of social media APIs is also rising. AI agents are directly paying usage fees to collect large-scale text data from social platforms and using it for mention analysis and model training.
In particular, the fastest-growing area was cited as AI inference services. Akinyele explained that AI agents use the Heurist Inference Router to borrow computing power from other AI models whenever needed, with fees starting from 0.003 RLUSD per request.
The market is interpreting this as a signal that a new form of economic activity is forming on XRPL, in which AI buys other AI's computing resources whenever needed.
Akinyele cited fast transaction finality and low fees as reasons XRPL is suitable for such uses. He said transactions are confirmed in about 3 to 5 seconds and fees are very low and consistent, providing an environment suited to repeated small payments by AI.
The market is still at an early stage. He compared the current situation to the early days of cloud computing, saying it is a process of forming common standards and that the scale of assets held in AI wallets is not yet large.
Even so, the ecosystem is expanding quickly. About 100 online shops are preparing to integrate with XRPL-based AI payment systems, raising the possibility that payment targets could expand from digital services to physical goods.
Chandler Fang (챈들러 팡), CEO of t54.ai, forecast that an era will come when AI agents search for discounted products on behalf of users and directly buy physical goods such as smartphone accessories. The payment process is managed by a Trustline protection engine that detects anomalous transactions and is designed to automatically block payments if abnormal transactions are detected.
The market is focusing on the possibility that as AI agents themselves buy services, pay costs and then perform tasks again, XRPL demand for AI payments could expand beyond experiments into real commerce.