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The cumulative recharge amount of encrypted payment cards has surpassed 10 billion USD for the first time, driven by the growth of stablecoin applications

Paymentscan data shows that the total recharge amount of cryptocurrency payment cards has surpassed $10 billion for the first time, reaching approximately $10.33 billion, an increase of 82% since the beginning of the year and about 250% year-on-year. This data reflects the cumulative recharge scale of cryptocurrency payment cards and related payment projects, rather than the trading volume of cryptocurrency exchanges.Reports indicate that stablecoins are becoming the main driving force behind the popularity of cryptocurrency payment cards. Compared to volatile assets like Bitcoin, stablecoins can complete payment settlements through traditional card networks, lowering the access threshold for merchants and making them more suitable for cross-border payments, remittances, and daily consumption scenarios in high-inflation areas.As payment companies, cryptocurrency exchanges, and asset management institutions continue to improve stablecoin infrastructure, cryptocurrency payment cards are gradually becoming an important gateway connecting digital assets to real-world consumption. However, as the scale of application expands, regulatory agencies will also pay more attention to issues such as consumer protection, sanctions screening, tax reporting, reserve asset transparency, and transaction monitoring.

first_img The Ramp AI report shows that the adoption rate of Anthropic has surpassed that of OpenAI, with top companies' employees averaging an AI monthly expenditure of $7,449

The economic laboratory of the fintech company Ramp has released a new version of the Ramp AI Adoption Index report. Based on spending data analysis from over 70,000 U.S. enterprise customers, the adoption rate of enterprise-level AI for Anthropic increased by 2.5 percentage points to 41%, officially surpassing OpenAI, which slightly decreased to 39.5%, establishing a leading position in the field of commercial applications.The report focuses on analyzing the spending trends of top enterprises that "deeply adopt AI." Data shows that the top 1% of enterprises spend as much as $7,449 per employee per month on AI, with this figure still achieving a 14.1% increase last month; in contrast, the top 10% of enterprises have an average monthly spending of $611 per employee, while the median enterprise spends only $11.38 (approximately equal to the cost of a single basic subscription).Additionally, the research points out that enterprises that deeply apply AI do not experience "vendor lock-in" and generally adopt multiple cutting-edge large models, open-source platforms, and vertical AI solutions simultaneously. Although enterprises are beginning to experiment with more cost-effective models (such as DeepSeek) in the face of cost pressures, overall AI spending remains on an upward trend.

Robinhood's second-quarter revenue is expected to reach $123 million, potentially surpassing cryptocurrency trading income

According to Dr. Crossroads' analysis, Robinhood's event prediction market revenue is expected to surpass its traditional cryptocurrency trading revenue as early as the second quarter of this year. Data shows that as of June 25, Robinhood has recorded approximately 12.3 billion event contract trades in the second quarter. Based on the usual 1 cent per contract revenue share, this is expected to contribute at least $123 million in single-quarter revenue, pushing the annualized revenue rate (ARR) of this business to $500 million. In comparison, due to the decline in institutional trading volume, its cryptocurrency business revenue in the second quarter is expected to fall below the first quarter's $134 million.At the same time, Robinhood's newly launched prediction market platform Rothera has surpassed 900 million contracts traded in its first week, bringing nearly 60% of potential contract trading increment to the company. Through Rothera's full-stack self-research and vertical integration, Robinhood plans to change the current fixed model where users pay 2 cents per contract (with the company and partner exchanges each receiving 1 cent), reducing the new fee rate to a minimum of 0.6 cents. This move aims to sprint into the top three in the industry through core price advantages while retaining the economic benefits of trade execution entirely within its ecosystem while passing savings on to users.
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