Ripple is expanding the role of digital assets in artificial intelligence by enabling AI agent payments in XRP and its RLUSD stablecoin. The new capability relies on a payment protocol developed by Stripe and Tempo, creating a pathway for autonomous AI agents to make blockchain-based payments within Ripple's digital asset ecosystem.

AI agents are software systems capable of completing tasks with varying levels of autonomy. Giving these systems access to payment infrastructure could allow them to pay for services, digital resources, or other transactions as part of automated workflows. Blockchain rails are being considered for this kind of automation partly because crypto wallets are software that can be created and operated programmatically, whereas traditional card payments are built around a human cardholder.

NEW: Ripple enables AI agent payments in XRP and RLUSD via Stripe and Tempo's protocol. pic.twitter.com/5bfEjOip0b
— Cointelegraph (@Cointelegraph) September 17, 2026

XRP and RLUSD Join AI Payment Infrastructure

The integration brings both XRP and RLUSD into the emerging market for autonomous machine-to-machine transactions. XRP, the native asset of the XRP Ledger, provides access to Ripple's established digital asset ecosystem, while RLUSD, Ripple's US dollar-backed stablecoin, offers a stablecoin option for transactions where a more stable unit of value may be preferred. Stablecoins are designed to track the value of a reference asset, typically the US dollar.

Using blockchain assets could also allow AI-driven payments to operate beyond traditional payment hours, depending on the infrastructure supporting the transaction. The involvement of Stripe, one of the largest processors of online payments, and Tempo's protocol further connects conventional payment technology with blockchain-based settlement.

AI and Crypto Payments Move Closer Together

The development highlights growing interest in combining artificial intelligence with cryptocurrency payments. As AI agents become capable of carrying out more tasks independently, payment systems could become an important part of their infrastructure. Agents may eventually need ways to purchase computing resources, access data, pay for APIs, or settle other digital transactions automatically.

How an agent holds funds and authorizes payments sits at the center of the emerging agentic-payments field, and that is where protocol-level work such as Stripe and Tempo's fits in. Ripple's support for XRP and RLUSD gives developers additional digital asset options for these emerging payment models.

The next key development will be how widely AI developers and businesses adopt agent-based payment systems — and whether more payment providers add comparable support — as the technology moves beyond early integrations.

Source: Cointelegraph on X