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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.

JPMorgan: Stablecoins are the "cash infrastructure" of cryptocurrency, and the market share of tokenized money market funds is unlikely to exceed 10%-15%

JPMorgan's latest report points out that although tokenized money market funds have revenue potential, they still only account for about 5% of the broader "stablecoin system," and the core position of stablecoins in the crypto ecosystem is unlikely to be replaced in the short term.The report states that stablecoins have become the default "cash tool" for trading, collateral, settlement, cross-border payments, and liquidity management, widely used in centralized exchanges and DeFi protocols, while tokenized money market funds are constrained by their securities characteristics, subject to registration, disclosure, and transfer restrictions, resulting in structural regulatory disadvantages.Analysts at JPMorgan, led by Nikolaos Panigirtzoglou, expect that without significant changes in the regulatory environment, the market size of tokenized money market funds is unlikely to exceed 10% to 15% of the overall stablecoin market. Current demand is mainly concentrated among crypto-native investors seeking yield and institutional funds looking to balance on-chain settlement with traditional asset protection.The report also notes that although tokenized funds have advantages such as near real-time settlement, 24/7 transfers, and automated clearing, their growth is still constrained by liquidity, counterparty risk, and regulatory uncertainty. JPMorgan believes that in the absence of regulatory easing, these products will struggle to challenge the infrastructure-level position of stablecoins in the crypto market.

The security incidents at GitHub and Grafana are likely related to a large-scale "mini sandworm" supply chain attack

According to the threat intelligence released by Slow Fog, several high-frequency npm packages including AntV and Echarts-for-react, as well as the Python SDK durabletask, have recently been targeted by the Mini Shai-Hulud "mini sandworm" supply chain attack. The npm account atool was compromised, and the attacker automatically published 637 malicious versions within 22 minutes, affecting 317 packages. The attacker continuously uploaded durabletask versions 1.4.1, 1.4.2, and 1.4.3 within 35 minutes, bypassing normal release controls and impersonating an official Microsoft release.The large-scale leak of GitHub tokens and the ransomware attack on Grafana Labs are likely related to this supply chain attack. Affected components include high-frequency components such as AntV and Echarts-for-react in the npm ecosystem, as well as Python packages durabletask 1.4.1, 1.4.2, and 1.4.3. Attackers can steal cloud and local credentials, gain unauthorized access to internal repositories and sensitive cloud infrastructure, move laterally to developer machines and CI/CD pipelines, sell and exploit leaked GitHub tokens, and implement ransom and data leak threats.Slow Fog recommends immediately rotating all exposed credentials, replacing affected packages, isolating potentially infected systems, and implementing strict dependency review policies. Previously, it was reported that the "mini sandworm" worm had recently completed widespread infection in open-source code repositories, and developers should be vigilant in checking for issues.
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