Ripple expands European footprint with AMINA stablecoin payment partnership

cointelegraphОпубліковано о 2025-12-12Востаннє оновлено о 2025-12-12

Анотація

Ripple Payments has partnered with Swiss bank AMINA to provide its payment infrastructure, enabling more efficient, faster, and lower-cost transactions using the Ripple USD (RLUSD) stablecoin. This collaboration strengthens Ripple’s presence in Europe, leveraging AMINA’s regulatory standing under Swiss and EU frameworks. The partnership addresses friction faced by crypto-native businesses in traditional banking, particularly in cross-border stablecoin transactions. Ripple aims to bridge fiat and blockchain systems, supporting seamless payments. This move is part of Ripple’s broader strategy to integrate blockchain into traditional finance, following recent expansions in Asia-Pacific and regulatory approvals in Singapore and Abu Dhabi for RLUSD.

The payments subsidiary of blockchain services company Ripple has partnered with Swiss bank Amina to provide it with access to its payment infrastructure.

According to a Friday Ripple Payments announcement, the company will allow Amina to “settle transactions more efficiently without relying on traditional payment infrastructure, making transactions faster, lower cost, and with increased reliability and transparency.” This builds on a previous relationship between the companies, with the bank’s integration of the Ripple USD (RLUSD) stablecoin happening back in July.

The move also reinforces Ripple’s presence in Europe, with Amina being a Swiss Financial Market Supervisory Authority-regulated financial institution. The bank’s Austrian subsidiary also holds a license under the European Union’s Markets in Crypto-Assets Regulation (MiCA) granted by Austria’s Financial Market Authority in October.

Amina chief product officer Myles Harrison said “native web3 businesses often run into friction when working with legacy banking systems,” adding that stablecoins can help solve those issues. “This is particularly the case for cross-border stablecoin transactions which traditional banks are yet to widely adopt.”

Related: Community expects first US spot XRP ETF to launch on Thursday

Banks need crypto services for crypto companies

Harrison explained that the bank’s clients “need payment infrastructure that can handle both fiat and stablecoin rails simultaneously,” which traditional banking networks cannot provide for. Ripple Payments, on the other hand, allowed Amina to offer such services, which led to “reducing cross-border friction and helping our crypto-native clients maintain their competitive edge.”

Source: Ripple

Ripple’s managing director for the United Kingdom and Europe Cassie Craddock said that the collaboration lets Amina “serve as the on-ramp for digital asset innovators into traditional financial infrastructure.” He added that Ripple Payments provides a “bridge between fiat and blockchain” that enables seamless stablecoin payments.

Related: Canary Capital filing signals spot XRP ETF set for launch this week

Ripple onboards traditional finance onchain

This is just the latest partnership in which Ripple injected blockchain capabilities into an institution engaged in traditional finance. According to mid-November reports, the company is spending about $4 billion to combine prime trading, treasury tools, payments, and custody to take on traditional finance.

Ripple’s ambitions are also global. Earlier this month, Ripple Labs received approval from Singapore’s central bank to expand its payment activities. This enables the company to offer regulated token services, end-to-end payments and growth across Asia-Pacific.

At the end of November, RLUSD was also cleared for use by institutions in Abu Dhabi after winning recognition as an Accepted Fiat-Referenced Token by the local watchdog.

Пов'язані матеріали

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit43 хв тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit43 хв тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit1 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit1 год тому

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit1 год тому

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit1 год тому

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

cointelegraph1 год тому

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

cointelegraph1 год тому

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

Bitcoin miners are capitulating as evidenced by a sustained drop in network hash rate and a record-steep 19.9% decline in mining difficulty, signaling the shuttering of unprofitable machines. However, in a significant divergence from historical patterns, the stocks of publicly traded mining companies have soared, with one major player gaining over 430% in the past year, even as BTC's price fell roughly 46%. This surge is largely attributed to these companies pivoting toward the more lucrative AI narrative. Simultaneously, miners face a structural squeeze. Daily block reward revenue in BTC terms has hit a new all-time low following the latest halving, with current dollar-denominated daily revenue around $30 million compared to a longer-term average of ~$40 million. Fee revenue remains negligible, covering less than one block's subsidy over a 28-day average and accounting for only about ten minutes of the network's daily security budget. This capitulation cycle is unique: miner stress and crypto price weakness have decoupled due to alternative revenue streams (AI), while the long-term reliance on increasing bitcoin prices to offset shrinking subsidies continues, with fee income still far from filling the impending gap.

marsbit1 год тому

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

marsbit1 год тому

Торгівля

Спот
活动图片