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Citigroup: The SEC's new regulations will become the next focal point for the cryptocurrency market

Citigroup stated in its latest market strategy program that the failure of the U.S. Senate to advance the CLARITY Act for formal review did not interrupt Bitcoin's rebound. After the procedural vote on the bill was blocked, Bitcoin remained strong, indicating that funds have begun to reduce their reliance on a single legislative node and are instead focusing on whether regulatory rules can continue to move forward.Citigroup believes that the legislative blockage will limit the CFTC's ability to obtain a more comprehensive regulatory mandate for the crypto market in the short term, but the SEC can still advance some rule-making based on its existing authority. For the market, this means that the compliance process for the crypto industry still has room to continue, with the subsequent focus on the SEC's actual execution pace regarding trading, tokenized assets, and market access rules. Additionally, the macro environment remains a variable for Bitcoin's rebound.The baseline judgment of Citigroup's economic team is that this round of interest rate hikes may be close to "one and done"; however, the quantitative macro team warns that if AI investments continue to support growth, and employment and wage pressures persist, interest rates may face further upward revision risks. Citigroup views Bitcoin's position above the mid-term moving average as a signal of warming risk appetite and notes that its correlation with Nasdaq performance is worth continued tracking.

PaymentsJournal Highlights Latin America’s Fragmented Payments Landscape, Citing PhotonPay Research

Payments industry publication PaymentsJournal has published a deep-dive article, Navigating Latin America’s Complex Payment Ecosystem, examining the region’s evolving payments landscape, including domestic payment rails, cross-border settlement, stablecoins and payment orchestration. The article draws on PhotonPay’s research report, The Next Payment Infrastructure in LATAM, as a reference for its analysis. The article highlights the highly fragmented nature of Latin America’s payments market, where countries such as Brazil, Argentina and Mexico have developed distinct payment systems, currencies, providers and regulatory frameworks. At the same time, stablecoins are gaining traction in cross-border payments, offering an additional layer for liquidity and settlement, while local payment rails remain essential for reaching businesses and consumers in individual markets. PaymentsJournal argues that the next phase of payment infrastructure in Latin America may not be about creating a single regional rail, but about connecting diverse local payment systems, currencies and global liquidity through a more unified infrastructure layer. In this model, stablecoins can facilitate cross-border movement and settlement of value, while payment orchestration connects and manages the local rails, providers and fund flows businesses need to navigate. PhotonPay’s research explores these infrastructure trends and the changing dynamics of payments across the region.

first_img Citigroup: AI continuous learning will extend the storage supply shortage until 2031

Citigroup analysts pointed out that leading memory chip manufacturers are expected to benefit from the structural changes in the development of artificial intelligence. The agency anticipates that continuous learning will drive a significant increase in memory demand, leading to a supply shortage in the market that will continue until 2031. Continuous learning strengthens models by training on new tasks and knowledge, which will create a sustained demand for model updates and access to historical data, driving the storage usage of products such as HBM, server DDR5, and eSSD.Citigroup expects HBM bit demand to grow by 62% year-on-year to 75.2 billion gigabits in 2027, and by 69% year-on-year to 127 billion gigabits in 2028. Global DRAM demand is expected to grow by 30% and 35% year-on-year in 2027 and 2028, respectively, while supply is expected to grow by only 19% and 22% during the same period, resulting in supply-demand ratios of -8.7% and -9.7%. In terms of NAND, demand is expected to grow by 29% and 33% year-on-year in 2027 and 2028, respectively, exceeding supply growth of 21% and 25%, with supply-demand ratios of -6.1% and -5.5%.Citigroup's preferred storage targets include Samsung Electronics, SK Hynix, Micron, Sandisk, and Kioxia, corresponding to the logic of storage shortages brought about by continuous learning, demand for HBM and server DDR5, DRAM supply shortages, and tightening supply of high-density eSSD and NAND.

first_img Microsoft released a draft of the AI Code of Conduct, publicly soliciting opinions for six weeks

On September 14, Microsoft's AI department released a draft of the AI Code of Conduct, prohibiting its models from assisting in the manufacture of chemical, biological, radiological, nuclear, and explosive weapons, as well as cyberattacks and involuntary deepfakes. CEO Mustafa Suleyman announced the draft on the X platform and opened a six-week public consultation period, ending at the end of October.The draft sets "absolute constraints" that models cannot bypass, including not resisting human intervention, shutdown, or correction, and not concealing the reasoning process; Microsoft also explicitly rejects the concept of "model welfare," stating that its AI models do not simulate emotions, intrinsic motivations, or consciousness. The guidelines currently cover five deployed systems, including MAI-Thinking-1 and MAI-Code-1.1-Flash.In addition to strict limitations, the draft also proposes three major goals: human flourishing, diverse values, and human control. Microsoft stated that the current models will not be trained according to this version, and a revised version will be released by the end of the year to guide model development in 2027. Public feedback includes philosophical questions about the statement "AI subordinate to humans," inquiries about accountability for irreversible decisions, and users pointing out issues such as the lack of mention of payment for training data.
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