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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.

Ethlabs: Existing funds can support 2–3 years of development, adhering to non-profit and neutral governance

Ethlabs published a response on platform X regarding its nonprofit positioning and funding situation, stating that the choice to operate under a nonprofit structure is to focus on the long-term development needs of Ethereum as a "public good" and to maintain the organization's independence and neutrality in research and development.In terms of governance structure, Ethlabs pointed out that its funding comes from large ETH holders and Ethereum ecosystem builders, whose interests are highly aligned with the long-term success of Ethereum, but they will not gain any governance control or participate in roadmap formulation or project prioritization decisions. Ethlabs emphasized that this arrangement is intentionally designed to avoid external funding influencing core directions.At the same time, Ethlabs stated that the future continuous financing mechanism itself is also a form of "accountability mechanism," meaning that only by continuously creating real value for the Ethereum ecosystem can they obtain subsequent funding support, thus forming a long-term feedback loop.Regarding funding, Ethlabs revealed that it is currently in the final stages of financing and has not disclosed specific amounts, but the committed funds already obtained are expected to support an operational cycle of 2 to 3 years and cover the recruitment needs for top talent. Ethlabs emphasized its positioning as a long-term project, not a one-time funding plan.

Gate 5 Monthly Transparency Report: Wealth Management Scale Continues to Grow, AI and On-chain Ecosystem Upgrade Simultaneously

Gate released the latest transparency report for May 2026, showing steady growth in wealth management, AI products, and on-chain ecosystem. The wealth management sector continues to attract user capital inflows: the cumulative subscription scale of Yubibao in May increased by 11.5% compared to last month; the ETF business has maintained a trading volume close to 20 billion USD for several consecutive months; the TVL of on-chain earning coins remains stable at around 1.2 billion USD. Meanwhile, products such as options and trading robots continue to expand their user base, further enriching the platform's trading ecosystem. Positive progress has also been made in the construction of on-chain infrastructure and AI products.In May, the on-chain transaction volume of Gate Layer exceeded 40 million transactions, growing over 10% compared to last month. As an important part of ecological empowerment, Gate AI completed a functional upgrade, adding capabilities such as image analysis, document interpretation, photo questioning, and in-depth research, while continuously enhancing intelligent model scheduling and research capabilities, further improving user market analysis and investment decision-making efficiency.In terms of brand building, Gate continues to deepen its global influence. In May, Gate conducted a series of brand activities around the F1 Red Bull Racing Miami event and the Inter Milan championship celebration, further strengthening global user connections and brand recognition through the cross-border integration of "Web3 + top sports." As wealth management, on-chain infrastructure, AI applications, and global brand ecosystems continue to improve, Gate is constantly enhancing its product innovation and ecological synergy capabilities, improving the global user service experience and the platform's overall competitiveness.
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