U.S. Treasury moves forward with GENIUS Act – New rules protect stablecoin issuers

ambcrypto2026-04-09 tarihinde yayınlandı2026-04-09 tarihinde güncellendi

Özet

The U.S. Treasury, through FinCEN and OFAC, has proposed a new rule under the GENIUS Act (signed into law in July 2025) that treats permitted payment stablecoin issuers similarly to banks under the Bank Secrecy Act. This aims to combat money laundering, terrorist financing, and sanctions evasion by imposing anti-money laundering obligations on issuers. The rule is designed to protect national security without hindering innovation in the payment system. This action follows multiple cases of illicit stablecoin use, including seizures of millions of dollars linked to scams and criminal activities. Treasury Secretary Scott Bessent stated the proposal strengthens U.S. leadership in digital finance while safeguarding the financial system.

As the crypto market braces for the passage of the CLARITY Act, a new rule under the GENIUS Act has come to the limelight.

In a joint proposal, the U.S. Department of the Treasury’s Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC) brought a rule that treats payment stablecoin issuers similarly to banks.

Source: www.fincen.gov

This was in the context of money laundering, terrorist financing, and sanction evasion.

For perspective, this proposed rule is part of the GENIUS Act, which was signed into law by U.S. President Donald Trump in July 2025.

What prompted the Treasury to come up with such a proposal?

Regulators believe payment stablecoin issuers can evolve the payment system in the U.S. However, given the scale and size of the financial system of the country, illicit actors find it easy to “jeopardize U.S. national security.”

Therefore, to combat such illicit financial risks, the rule ensures that permitted payment stablecoin issuers (PPSIs) are treated like financial institutions for purposes of the Bank Secrecy Act (BSA).

Needless to say, this would automatically impose the anti-money laundering (AML) obligations, which were earlier just for BSA.

Additionally, the proposal is also designed to be “fit for purpose, assist law enforcement, and minimize unnecessary burden.” That being said, all this is a part of the broader plan to “modernize BSA requirements” with consistent efforts from FinCEN.

Treasury Scott Bessent weighs in

Applauding such changes made under the U.S. President Donald Trump’s administration, Treasury Secretary Scott Bessent noted,

President Trump is strengthening American leadership in digital financial technology.

He further added,

This proposal will protect the U.S. financial system from national security threats without hindering American companies’ ability to forge ahead in the payment stablecoin ecosystem.

Illicit activities that targeted stablecoin in 2025 and before

This comes as the stablecoins had already been a center of target for many years. For instance, in June 2025, U.S. federal authorities seized $225.3 million worth of Tether’s USDT linked to the aforementioned scams.

Additionally, in July 2025, approximately $2 million worth of digital assets was unsealed by the DOJ, linked to a Palestine-based money exchange business. In November 2024, too, $5.5 million in stablecoins were seized from a drug trafficking operation.

Chainalysis’s recent report further confirmed these metrics, highlighting how in 2025 stablecoins accounted for “84% of all illicit transaction volume.”

Source: Chainalysis

Final Summary

  • The joint efforts to bring in a proposed rule to address illicit activities in the stablecoin market underline the importance of the GENIUS Act passed in July 2025.
  • With millions being seized and confiscated by the DOJ, this was an alarming rule that should be passed for better crypto innovation in the U.S.

İlgili Sorular

QWhat is the main purpose of the new rule proposed under the GENIUS Act?

AThe new rule treats payment stablecoin issuers similarly to banks for purposes of the Bank Secrecy Act, imposing anti-money laundering obligations to combat illicit financial risks like money laundering, terrorist financing, and sanction evasion.

QWhich U.S. government agencies jointly proposed the new rule for stablecoin issuers?

AThe Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC) jointly proposed the rule.

QAccording to Treasury Secretary Scott Bessent, how will this proposal benefit the U.S. financial system?

AScott Bessent stated that the proposal will protect the U.S. financial system from national security threats without hindering American companies' ability to innovate in the payment stablecoin ecosystem.

QWhat percentage of illicit transaction volume did stablecoins account for in 2025 according to Chainalysis?

AStablecoins accounted for 84% of all illicit transaction volume in 2025 according to Chainalysis's report.

QWhen was the GENIUS Act signed into law and by whom?

AThe GENIUS Act was signed into law by U.S. President Donald Trump in July 2025.

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit1 saat önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 saat önce

İşlemler

Spot
活动图片