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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.

Enterprise-level AI payment platform Ramp completes $750 million financing at a valuation of $44 billion, led by ICONIQ and others

According to PR Newswire, the enterprise-level AI payment and financial management platform Ramp announced the completion of a new round of financing totaling $750 million, with a post-money valuation of $44 billion.This round of financing was led by ICONIQ, GIC, and the Ontario Teachers' Pension Plan, with participation from institutions such as Goldman Sachs Alternatives, D.E. Shaw, Morgan Stanley Investment Management, Generation Investment Management, and Insight Partners.Ramp stated that the company is expanding its business into the AI cost management field, launching the AI Token spending management tool to help businesses monitor and control expenses related to large models and AI services. In recent months, Ramp has completed acquisitions of the UK and European payment platform Billhop and the business travel platform Juno, and has also deepened its long-term collaboration with Visa to promote AI agents to autonomously execute corporate payments within a real-time risk control framework.Ramp revealed that its internal AI tools have achieved a 99.5% employee adoption rate, with the internally developed platform Inspect currently generating over two-thirds of the company's code. The company plans to use this round of financing to further expand its product layout and accelerate its expansion into the UK and European markets.

Supreme People's Procuratorate: Currently, telecom and internet fraud crimes are rampant, and virtual currency "money laundering" has become a mainstream method

ChainCatcher news, according to Jinshi reports, Du Xueyi, director of the Economic Crime Prosecution Office of the Supreme People's Procuratorate, stated during a guest appearance on the Supreme Procuratorate's director interview event on February 13 that the current situation of telecom network fraud crimes is still severe and complex, with a high incidence.First, the cross-border and monopolistic nature of fraud groups has emerged, with criminals setting up "industrial parks" and "technology parks" abroad, managing and controlling through means such as providing guarantees and armed protection, taking a cut or charging fees to obtain illicit funds, forming large criminal organizations.Second, the methods of fraud are increasingly diverse and complex, with combinations such as "pig butchering + false investment," "gambling fraud," and "fraud and extortion," which are more deceptive and have led to serious violent crimes such as intentional injury.Third, the modules of black industry crimes are becoming more stable, with criminal tools and software being simple and easy to use, resulting in a broader population being drawn into criminal activities. Fourth, the channels for funds are intertwined and concealed, with virtual currency "money laundering" becoming a mainstream method, helping criminals to transfer fraudulent funds in "small amounts and multiple transactions," making it difficult to trace back.
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