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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.

Coinbase: Has reduced AI spending by nearly 50% and is trying to default to adopting open weight models

Coinbase CEO Brian Armstrong published an article introducing the company's latest progress in AI cost optimization.Armstrong stated that as the usage of AI and Token consumption continues to grow, the key to controlling costs is not to restrict employee usage or frequently send budget reminders, but to optimize default model selection, task routing mechanisms, and caching strategies.He revealed that Coinbase is trying to use open-weight models such as GLM 5.2 and Kimi 2.7 as default options through an internal LLM gateway, while still allowing engineers to choose other models based on specific task requirements. Data shows that 91% of the company's employees have never reached the AI usage quota limit, so Coinbase has not chosen to tighten quotas but instead improved overall efficiency through lower-cost model solutions.In terms of model routing, Coinbase preprocesses prompts and, combined with cache hit rates and the pricing of different models, automatically assigns tasks to the most suitable model. Armstrong believes that complex tasks such as planning and reasoning may require support from cutting-edge models, but execution tasks do not necessarily need to invoke higher-cost models. In the future, the model selection process should be more automated by AI rather than relying on manual decisions.Additionally, he pointed out that cache hit rate is one of the important factors affecting AI costs. Coinbase has incorporated a cache-aware mechanism into the request process to improve the reuse rate of historical results. For example, in the case of LibreChat, after optimizing the caching solution, its cache hit rate has increased from 5% to 60%.Armstrong also stated that the company requires engineers to keep context as concise as possible, including starting new sessions when switching tasks, narrowing the context scope of files, and closing unused tools, to reduce unnecessary Token consumption.According to him, through these measures, Coinbase has successfully reduced AI spending by nearly 50%, while Token usage continues to grow.

MetaPlanet's BTC reserves face a dual-edged sword challenge in exchange rates after the Bank of Japan raised interest rates. OSL Group, in collaboration with the Hong Kong Polytechnic University, released a report stating that corporate cross-border trade payments will drive the large-scale adoption of stablecoins

According to BBX data, yesterday's interest rate hike in Japan coincided with the Federal Reserve's decision window, creating the most intense macroeconomic shock point of the week. The latest results of institutional stablecoin research were released on the same day, with the core dynamics as follows:Metaplanet Inc. (TSE: 3350), as the largest corporate BTC reserve holder in Asia and the third largest publicly traded company holding Bitcoin globally (holding 40,177 BTC at an average price of about $104,000, with a target of 100,000 BTC by the end of 2026), faced a dual-edged sword pressure from the exchange rate yesterday: after the Bank of Japan announced a 25 basis point increase in the policy interest rate to 1.0%, the yen strengthened, superficially lowering the book value of BTC denominated in yen, but Bitcoin subsequently rose against the trend (CoinDesk's headline on the same day: "Bitcoin rallies after Japan rate increase"), with actual improvements in USD-denominated holdings. The company's current holdings are approximately $2.64 billion (estimated at $65,750/BTC), with the latest capital move being the issuance of 8 billion yen (about $55 million) for the 20th bond (EVO FUND) on April 24 for additional BTC purchases. Analysts warn that if the BOJ's interest rate hike triggers large-scale unwinding of "Yen Carry Trade," global risk assets including BTC may suffer systemic deleveraging shocks—however, Metaplanet holds physical BTC rather than leveraged positions, with its main risk being the exchange rate conversion effect rather than forced liquidation.OSL Group (Hong Kong Stock Exchange: 0863.HK) and the School of Business at the Hong Kong Polytechnic University jointly released a white paper on June 16 (The Block included it on the same day at 9:01 am EDT), titled "Cross-Border Trade Payments Will Drive the Adoption of Regulated Corporate Stablecoins." The core conclusion is that the demand for corporate-level cross-border trade payments is the main path to drive the large-scale adoption of regulated stablecoins, with importance surpassing retail consumption scenarios. OSL Group holds the Hong Kong Securities and Futures Commission licenses 7 (automated trading services) and 1 (securities trading), making it one of the few compliant exchanges globally with both institutional custody and practical experience in stablecoin settlement. Previously, it provided institutional clients with approximately $130 million in USDGO stablecoin settlement services in April 2026. This white paper provides an industrial basis for the stablecoin policy framework of Hong Kong's financial regulatory authorities, and, together with Visa's stablecoin settlement of $7 billion annualized scale, SoFi SoFiUSD's launch, and Western Union's USDPT layout, constitutes multiple points of evidence accelerating the global adoption of corporate stablecoins.

first_img Forbes: The technology of stablecoins has matured, but compliance and localized infrastructure are the real bottlenecks for large-scale adoption

According to Forbes, although the trading volume of stablecoins has exceeded $1 trillion in the past year, most activities are still concentrated in the crypto-native space (trading, arbitrage, and inter-protocol settlement), with limited applications in everyday commercial payments. WasabiCard CEO Ray Yang pointed out that the transfer of funds is no longer the core issue; licensing, compliance, risk management, and banking capabilities are the key foundations for achieving widespread adoption.Forbes noted that while stablecoin settlement can significantly enhance cross-border payment efficiency, each market has different compliance standards, licensing requirements, and banking relationships, making the construction of localized compliance in each market both slow and expensive, which contradicts the instant global settlement that stablecoins advocate. Currently, the stablecoin market has surpassed $320 billion, and industry discussions are shifting from whether stablecoins can replace existing networks to how they can be integrated into existing networks.Forbes believes that the challenge of the last decade was to get funds flowing, while the challenge of this decade is to ensure that global payments operate in compliance and at scale within a fragmented regulatory environment.
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