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JPMorgan has raised its forecast for AI infrastructure investment to $5.5 trillion, as giants like NVIDIA are turning to debt financing

J.P. Morgan strategist Tarek Hamid and his team have raised their forecast for total investment in artificial intelligence infrastructure by 2030 to $5.5 trillion in a recent research report, an increase of $400 billion from their prediction last November. The bank noted that in this investment race for super-scale data centers, approximately $4.1 trillion will come from debt financing, with loans covering an average of 85% of total project costs, indicating that AI capital expenditures have shifted to a debt market-centric financing model.Since last November, global bond issuance related to AI and data centers has exceeded $300 billion. The latest typical case comes from chip giant NVIDIA, which completed the pricing of a $25 billion investment-grade bond issuance this Monday, marking its return to the bond market for the first time in five years. This issuance was conducted in seven tranches (with maturities ranging from 2 to 30 years) and attracted oversubscription of up to $85 billion, ultimately increasing the issuance size by 25% from the initial target.The research report emphasizes that although tech giants like NVIDIA, Alphabet, and Amazon are generating substantial cash flow from the AI boom (with NVIDIA estimating free cash flow exceeding $200 billion this fiscal year), these giants still choose to issue hundreds of billions of dollars in bonds. This indicates that such bond issuance is not due to a "lack of financing," but rather that the credit market is confirming the pricing of AI assets.

Shanghai Stock Exchange: Clarifies that enterprises with large artificial intelligence models are applicable to the fifth set of listing standards for the Sci-Tech Innovation Board

The Shanghai Stock Exchange officially released the "Guidelines for the Application of the Shanghai Stock Exchange Issuance and Listing Review Rules No. 10 - Applicable to AI Large Model Enterprises under the Fifth Set of Listing Standards for the Sci-Tech Innovation Board," aimed at leveraging the role of the capital market to support the development of AI large model enterprises in China that are in a critical period of large-scale commercialization.The "Guidelines" combine the actual situation of technological innovation in the field of AI large models and clarify the specific requirements for applying the Fifth Set of Listing Standards for the Sci-Tech Innovation Board:Definition of Main Business: The issuer's main business must be clearly defined as "independent research and development of AI large models, model services, or model applications," while simultaneously supporting both general large models and industry-specific models.Requirements for Stage Achievements: When applying, enterprises must meet the condition of "at least one large model product has been launched and achieved large-scale application" as a standard to verify the feasibility of their product business model and commercialization capability.The Shanghai Stock Exchange stated that the next step will be to actively and steadily promote the issuance and listing of AI large model enterprises that meet this standard on the Sci-Tech Innovation Board under the guidance of the China Securities Regulatory Commission, to provide greater support for the development of technology-based enterprises that break through key core technologies.

Sensor Tower 2026 AI Report: ChatGPT's market share falls below 50% for the first time, industry accelerates shift towards commercial monetization

According to the latest "2026 Artificial Intelligence Status Report" released by Sensor Tower, as users migrate between different AI assistants, ChatGPT's global market share fell below 50% for the first time at the end of May this year, dropping to 46.4%. Nevertheless, ChatGPT remains the global leader with over 1.1 billion monthly active users (MAU); Google Gemini and Claude under Anthropic follow closely, occupying 27.7% (662 million MAU) and 10.3% (245 million MAU) of the market share, respectively.The report points out that as the growth rates of downloads and spending slow down, the AI industry is shifting from pure user expansion to commercial monetization. It is expected that in the first half of 2026, global AI app downloads will approach 2.3 billion, and total user spending will exceed $4.2 billion. In terms of paid subscriptions, Claude stands out with a leading industry conversion rate of 13%.In addition, the commercialization paths of AI platforms are becoming increasingly diverse. Since February of this year, ChatGPT has been testing its advertising business, and as of May, about 17% of daily active users have been shown ads, primarily focused on software and shopping. At the same time, the role of AI assistants in e-commerce guidance is becoming more prominent, profoundly influencing consumer purchasing behavior and the traffic distribution of major retail platforms.
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