Ripple, Circle, Paxos Secure Path To National Banking Charters In The US

bitcoinistОпубліковано о 2025-12-12Востаннє оновлено о 2025-12-12

Анотація

The Office of the Comptroller of the Currency (OCC) has granted conditional approval for national trust bank charters to several major crypto firms, including Ripple, Circle, BitGo, Fidelity Digital Assets, and Paxos. Once fully approved, these charters will allow the companies to manage and hold digital assets on behalf of customers, enabling faster payment settlements. Currently, Anchorage Digital is the only other crypto firm with such a charter. Ripple’s CEO Brad Garlinghouse hailed the move as a significant step for the company’s stablecoin, RLUSD, and criticized banking lobbyists for "anti-competitive tactics." The OCC emphasized that each application underwent rigorous review and that these approvals modernize the financial system and expand access to innovative products.

On Friday, the Office of the Comptroller of the Currency (OCC) approved national trust charter applications from several key firms in the industry including Circle’s First National Digital Currency Bank, Ripple National Trust Bank, BitGo Bank & Trust, Fidelity Digital Assets, and Paxos Trust Company.

OCC’s Approval Of Digital Asset Trust Banks

Once finalized and full approval is reached, these national trust bank charters would empower the crypto companies to manage and hold assets on behalf of their customers, enabling faster payment settlements.

Currently, Anchorage Digital is the only digital asset company that holds a national trust bank charter from the OCC, which oversees a total of 60 such institutions.

Comptroller Jonathan Gould emphasized that each application underwent a thorough and rigorous review process, underscoring the necessity for each entity to meet additional conditions before gaining full operational status.

He explained that welcoming new entrants into the banking landscape aids in modernizing the system, diversifying offerings, and enhancing access to innovative financial products.

Ripple CEO Challenges Banking Lobbyists

Brad Garlinghouse, CEO of Ripple, commented on the approval via social media, highlighting it as a significant advancement for Ripple’s stablecoin, RLUSD. He stated that it sets a high standard for compliance under both federal and state regulation.

Garlinghouse also took a moment to address banking lobbyists who may have opposed this move, asserting that their “anti-competitive tactics” are evident.

The executive pointed out that while these lobbyists have argued that the crypto industry does not abide by the same regulations, the recent approvals demonstrate that the crypto sector is operating transparently under the supervision of the OCC.

Stuart Alderoty, Ripple’s Chief Legal Officer, noted that the firm is among the first entities to receive conditional approval following the enactment of the GENIUS legislation, ensuring the sustainability of Ripple’s stablecoin business for the long term.

The daily chart shows XRP’s price trading just below the key $2 resistance wall. Source: XRPUSDT on TradingView.com

Featured image from DALL-E, chart from TradingView.com

Пов'язані матеріали

GitHub, Transfixed by AI

On the night of February 9th, GitHub suffered a major outage caused by a simple configuration change—reducing a cache refresh interval from 12 to 2 hours—that triggered a cascade of failures. This was not an isolated event, but part of a broader pattern. In early 2026, GitHub experienced at least 8 major incidents, failing to meet its promised 99.9% availability. These outages stemmed from structural issues: explosive growth in load, tight service coupling, and insufficient protection against abnormal traffic. This unprecedented load is driven by AI Agents. In 2025, GitHub handled ~1 billion commits. By 2026, weekly commits reached 275 million, projecting to ~14 billion for the year—a 14x increase. AI tools like Claude Code now contribute 4.5% of all public repository commits, with weekly submissions surging 25x in just three months. AI-generated pull requests jumped from 4 million to 17 million per month in half a year. Unlike human developers, AI Agents work continuously, generating commits at a scale that overwhelms infrastructure designed for human rhythms. The surge also shattered GitHub's business model. Copilot's flat-rate pricing, based on assisting human developers, became unsustainable as Agentic AI sessions consumed resources worth hundreds of dollars for a few dollars in fees. In response, GitHub imposed usage limits and, by June 1st, shifted to a pay-per-use "AI Credits" system. Facing this new reality, GitHub realized a 10x scaling plan was insufficient. It announced a need to *redesign* its architecture for 30x current scale—decoupling services, adding fault isolation, and improving change management to prevent cascading failures. Other platforms like Stripe and AWS are facing similar challenges with AI Agents. Fundamentally, GitHub is transitioning from a human collaboration platform to an "exhaust pipe" for automated AI workflows. Its detailed post-mortem reports aim to maintain trust during this turbulent rebuild. The February outage was not just a technical glitch, but a signal of the software industry's entry into a new, AI-driven era.

marsbit10 хв тому

marsbit10 хв тому

Visualizing Musk's Wealth: $3.6 Million Per Hour, Average Person Needs 11 Million Years of Work

Elon Musk is on the verge of becoming the world's first trillionaire, with a current estimated net worth of $970 billion. This wealth, largely tied to equity in SpaceX and Tesla, translates to him accumulating roughly $992 per second or $3.6 million per hour on average over his 31-year career. His fortune surpasses the annual GDP of over 125 countries and represents about 3% of U.S. GDP, double the relative wealth of historical figures like John D. Rockefeller. For perspective, an average U.S. household earning the median income would need to work over 11 million years to amass a comparable sum. Musk's wealth could buy approximately 2.4 million average American homes, all 32 NFL teams plus every NBA team, or over 10,000 private jets with operating costs. The analysis highlights the staggering scale and concentration of modern wealth, driven by successes in electric vehicles, space exploration, and artificial intelligence.

marsbit13 хв тому

Visualizing Musk's Wealth: $3.6 Million Per Hour, Average Person Needs 11 Million Years of Work

marsbit13 хв тому

Both Suffer Massive Losses Exceeding $90 Billion, Which Is in Greater Peril: Strategy or Bitmine?

Facing massive paper losses exceeding $90 billion each amidst a sharp market downturn, "Digital Asset Treasury" (DAT) giants Strategy and Bitmine find themselves in a precarious position, but with different underlying risks. Strategy, heavily invested in Bitcoin (BTC), faces significant financial strain. Its strategy relies heavily on debt, including convertible notes and preferred stock (STRC) requiring substantial dividend payments. With its cash reserves dwindling and BTC offering no staking yield for cash flow, Strategy's high leverage makes it vulnerable. A continued price decline could force asset sales to meet obligations, potentially creating a negative feedback loop. Its market value has already fallen sharply. In contrast, Bitmine, an Ethereum (ETH) holder, appears on firmer financial ground. It primarily funds its purchases through equity offerings (like ATM programs), avoiding debt pressure. It also generates income by staking a large portion of its ETH holdings. While not immune to market drops and shareholder dilution concerns, Bitmine maintains more flexibility, recently announcing a new preferred share offering to raise further capital. The core divergence lies in their financing: Bitmine uses equity (investor money), while Strategy uses debt (borrowed money). Consequently, Bitmine currently faces less immediate liquidity pressure than Strategy, which must navigate the dual challenge of servicing debt/dividends and a declining core asset (BTC) price.

marsbit17 хв тому

Both Suffer Massive Losses Exceeding $90 Billion, Which Is in Greater Peril: Strategy or Bitmine?

marsbit17 хв тому

Both Suffer Losses Exceeding $9 Billion, Which Is More at Risk: Strategy or Bitmine?

As Bitcoin and Ethereum prices drop significantly, two major corporate treasury holders, Strategy and Bitmine, are facing massive unrealized losses—approximately $100 billion and $90 billion, respectively. The article compares their financial health and underlying risks. Bitmine, holding over 5.4 million ETH, relies primarily on equity financing (like ATM offerings) and has substantial cash reserves, alongside staking income from its ETH holdings. It plans a $300 million perpetual preferred stock offering. In contrast, Strategy, holding Bitcoin, is burdened by significant convertible debt and preferred stock dividends, with cash reserves covering only about six months of its annual dividend obligations. Strategy's leverage is higher, and it faces potential liquidity pressure if BTC prices fall further, possibly forcing asset sales. While both companies are under pressure, Bitmine’s financial structure appears more resilient, whereas Strategy’s high leverage makes it more vulnerable to continued market declines.

Odaily星球日报22 хв тому

Both Suffer Losses Exceeding $9 Billion, Which Is More at Risk: Strategy or Bitmine?

Odaily星球日报22 хв тому

Where the AI Bubble Really Is: Which Layer of Players Are Naked

AI Bubble: Where It Really Is and Who's Swimming Naked This analysis dissects the AI industry not as a single entity but as a five-layer pyramid, arguing that bubbles are concentrated in specific tiers, not uniformly distributed. **Key Distinction from the 2000 Dot-com Bubble:** Unlike 2000, where companies had stock prices before revenue, today's leading AI players have massive, contract-backed revenue driving their valuations. Core infrastructure demand is real, with every GPU running at full capacity for paying customers. **The Five-Layer Pyramid & Bubble Assessment:** * **L0 (Fab/Manufacturing) & Top L4 (Leading AI Apps): NO BUBBLE.** Companies like TSMC, NVIDIA, major cloud providers (Microsoft, Google, Meta, Amazon), and top AI labs have real revenues and orders. Supply is tightly constrained by TSMC's disciplined capacity control and physical limits like power/land for data centers, preventing a supply glut. * **L1 (Memory): BATTLEGROUND.** Sky-high HBM margins could signal a new structural cycle or a classic "boom before bust." The oligopoly of three major players may enforce supply discipline, making this a high-stakes bet. * **L2 (Interconnect/Optical Modules): BUBBLE TERRITORY.** Companies like Lumentum and AAOI have seen stock surges (4-10x) far outpacing revenue growth. This hardware segment has lower physical barriers to expansion than fabs, allowing speculation. It mirrors the 2000 bubble's epicenter—optics. * **L3 (Infrastructure/"GPU Landlords"): VULNERABLE.** GPU leasing companies profit from the current compute shortage but own no long-term moat. Their business model relies on a temporary bottleneck that will ease as big tech expands and new tech (e.g., potential space-based data centers) emerges. * **L4 Long Tail (VC-backed Startups): STRONG BUBBLE SIGNALS.** VC funding concentration in AI is twice that of the 1999 peak. Many startups with little revenue use the valuation logic of successful giants to justify their own, creating high risk of a "valuation crunch" when funding dries up. **Critical Risks to Monitor:** 1. **GPU Depreciation & Accounting:** Companies extending the assumed useful life of GPUs artificially boost profits. The true economic life depends on future generational leaps from NVIDIA. 2. **"GPU Credit" & Off-Balance-Sheet Leverage:** Emerging structures where shell companies borrow to buy GPUs and lease them out (with chipmakers sometimes investing) move debt off major balance sheets. This echoes the "vendor financing" of 2000 and the securitization risks of 2008, though currently small-scale. 3. **TSMC Abandoning Caution:** If the primary supply bottleneck (TSMC's conservative capacity planning) breaks, runaway supply could trigger a bust. 4. **Algorithmic Efficiency Breakthrough:** A major leap in software efficiency could drastically reduce the need for raw compute hardware, undermining the investment thesis. **Conclusion:** The AI boom is expensive and has frothy areas, but its core is underpinned by real demand and physical supply constraints. The bubble risk is layered: most present in optical components, GPU leasing, and the long-tail startup ecosystem, while the foundational chip manufacturing and leading application layers remain relatively solid—for now.

marsbit30 хв тому

Where the AI Bubble Really Is: Which Layer of Players Are Naked

marsbit30 хв тому

Торгівля

Спот

Ф'ючерси

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни US (US).