OCC Seeks Public Feedback on GENIUS Act Implementation Proposal

TheNewsCryptoPublicado a 2026-02-26Actualizado a 2026-02-26

Resumen

The Office of the Comptroller of the Currency (OCC) has proposed new rules to implement the GENIUS Act, which was enacted in July 2025 to regulate payment stablecoin issuers. The proposal, spanning 376 pages, aims to create a clear regulatory framework for stablecoin issuance and custody activities under OCC supervision. It excludes anti-money laundering and sanctions rules, which will be addressed separately. The public is invited to provide feedback within 60 days. The rules are expected to be updated after the GENIUS Act takes effect, potentially by January 2027. OCC Comptroller Jonathan V. Gould emphasized the importance of public input to shape an effective and practical final rule.

The OCC has proposed rules to implement the GENIUS Act, and aksing the public feedback for the proposal within 60 days of publication, as the move is aimed to support innovation while ensuring safety in the growing stablecoin market.

Firstly, the Guiding and Establishing National Innovation for U.S. Stablecoins (GENIUS) Act was enacted on July 18, 2025, which establishes a regulatory framework for payment stablecoin issuer activities.​

According to the Office of the Comptroller of the Currency’s official statement on February 25, the proposal would create a clear framework for stablecoin issuers operating under its supervision, including rules related to issuance and certain custody activities.

Key Details of the Proposal

The proposal spans approximately 376 pages and notes, “The OCC will have regulatory or enforcement authority over certain permitted payment stablecoin issuers, including subsidiaries of national banks or Federal savings associations, Federal qualified payment stablecoin issuers, and State qualified payment stablecoin issuers subject to the OCC’s regulatory or enforcement authority.”

​However, rules related to anti-money laundering (AML), the Bank Secrecy Act, and sanctions (OFAC) are not included in this proposal. Those will be introduced separately in coordination with the U.S. Department of the Treasury.

​The proposal also noted that OCC anticipates that these implementing regulations will be updated in the years following the effective date of the GENIUS Act. Where the GENIUS Act’s effective date is the earlier of 18 months after the enactment date, which would be January 2027, after the primary Federal payment stablecoin regulators issue final regulations implementing the Act.

​Further, the Comptroller of the Currency, Jonathan V. Gould, said, “We welcome feedback on the proposal to inform a final rule that is effective, practical, and reflects a broad industry perspective. The OCC will continue its work to implement the GENIUS Act and provide OCC-regulated entities with more opportunities to meet the needs of their customers and communities,” noted in the OCC’s statement.

Highlighted Crypto News:

Nimiq Unveils SynapTrack AML Framework to Combat Cross-Chain Crypto Laundering

TagsCryptocurrencyGenius ACTocc

Preguntas relacionadas

QWhat is the main purpose of the OCC's proposed rules for the GENIUS Act?

AThe main purpose is to implement the GENIUS Act by creating a clear regulatory framework for stablecoin issuers, aimed at supporting innovation while ensuring safety in the stablecoin market.

QWhen was the GENIUS Act enacted and what does it establish?

AThe GENIUS Act was enacted on July 18, 2025, and it establishes a regulatory framework for payment stablecoin issuer activities.

QWhat types of entities will the OCC have regulatory authority over under this proposal?

AThe OCC will have regulatory or enforcement authority over certain permitted payment stablecoin issuers, including subsidiaries of national banks or Federal savings associations, Federal qualified payment stablecoin issuers, and State qualified payment stablecoin issuers subject to its authority.

QAre anti-money laundering (AML) and Bank Secrecy Act rules included in this proposal?

ANo, rules related to anti-money laundering (AML), the Bank Secrecy Act, and sanctions (OFAC) are not included in this proposal and will be introduced separately with the U.S. Department of the Treasury.

QWhat is the effective date for the GENIUS Act according to the proposal?

AThe effective date is the earlier of 18 months after the enactment date (which would be January 2027) or after the primary Federal payment stablecoin regulators issue final regulations implementing the Act.

Lecturas Relacionadas

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbitHace 45 min(s)

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbitHace 45 min(s)

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbitHace 3 hora(s)

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbitHace 3 hora(s)

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbitHace 6 hora(s)

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbitHace 6 hora(s)

Deconstructing Notion's Growth: From a Note-taking Tool to 100 Million Users—How Notion Built a Triple Growth Flywheel Through Product, Templates, and Community

Notion's growth from a niche note-taking tool to a platform with 100 million users is powered by three interconnected flywheels: Product-Led Growth (PLG), a Template Economy, and Community-Driven Growth. First, Notion's PLG strategy relies on a highly flexible, "plastic" product that users can adapt to countless personal and team workflows. Its freemium model lowers the barrier to entry, while features like page sharing and collaboration drive organic, usage-based viral growth as users naturally invite others. Second, the Template Economy solves the "blank page" problem. Templates, created by both Notion and its community, transform abstract product capabilities into concrete, copyable solutions for specific scenarios (e.g., project management, content calendars). This dramatically lowers activation costs for new users and fuels SEO-driven discovery. Third, a vibrant Community acts as a distributed growth engine. Users and official Ambassadors create tutorials, share use cases, and host local events. This community not only educates users but also fosters a sense of identity around pursuing "better ways of working," strengthening loyalty and enabling global, low-cost expansion. Together, these flywheels create a self-reinforcing ecosystem: a great product attracts users who create templates and community content, which in turn attracts more users and deepens engagement. This system allowed Notion to scale from individuals to teams and enterprises through a bottom-up adoption path. Looking ahead, AI integration promises to accelerate these flywheels further by making templates smarter and the platform a potential AI-native work operating system. Ultimately, Notion's defensible advantage is not just its features, but this deeply entrenched network of user assets, creators, and community trust.

marsbitHace 6 hora(s)

Deconstructing Notion's Growth: From a Note-taking Tool to 100 Million Users—How Notion Built a Triple Growth Flywheel Through Product, Templates, and Community

marsbitHace 6 hora(s)

Trading

Spot
Futuros
活动图片