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Sep 13
Stripe Unveils AI-Powered Payment Model and Stablecoin Accounts
Stripe launches an AI model for better fraud detection and stablecoin accounts to boost global payments and crypto usage for businesses.

Originally reported bypymnts
On May 7, Stripe announced two major product innovations aimed at enhancing business operations through artificial intelligence (AI) and stablecoin technology. The company introduced a new AI foundation model, known as the Payments Foundation Model, designed to improve fraud detection and boost authorization rates. This AI model, trained on tens of billions of transactions, offers enhanced performance by analyzing subtle signals that traditional models fail to capture. Early results show promise, particularly in reducing card testing attacks, surpassing a previously achieved 80% reduction in detection rates.
In addition, Stripe expanded its money management services by launching Stablecoin Financial Accounts. These accounts allow businesses to store balances in stablecoins, receive payments via both cryptocurrency and traditional fiat payment systems, and send stablecoins to global markets. Initially supporting USDC and Bridge's USDB stablecoins, the accounts are available to businesses in 101 countries. Stripe’s recently acquired platform, Bridge, also partnered with Visa to offer a global card-issuing solution. This partnership enables businesses to issue Visa cards linked to stablecoin wallets, allowing transactions at over 150 million Visa-accepting merchants worldwide. When a purchase is made, Bridge converts stablecoins into fiat currency for the merchant.
Patrick Collison, Stripe’s CEO, highlighted the transformative potential of AI and stablecoins, calling them critical forces shaping the economy. Stripe’s use of AI has already contributed to significant growth, including a 38% increase in payment volumes for 2024. Meanwhile, Visa is also joining the Global Dollar Network, a stablecoin consortium, furthering the adoption of digital currencies in the global payments system.
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