Ripple Makes New Demands From SEC, What Are They Asking For?

bitcoinistPublicado em 2026-05-29Última atualização em 2026-05-29

Resumo

Ripple has sent a letter to the U.S. SEC's Crypto Task Force requesting regulatory clarity on payment stablecoins and tokenized securities. This follows up on a meeting held in March. Key demands include clarification on how stablecoins should be treated as collateral on balance sheets under amended Rule 15c3-1, and defining "Qualified Payment Stablecoins" for custody under Rule 15c3-3. Ripple also asked for confirmation that other major crypto non-securities, beyond Bitcoin and Ethereum, receive equivalent regulatory treatment, suggesting a revision to related SEC FAQs. Furthermore, the firm proposed a 0% haircut for stablecoins under certain conditions and requested that on-chain registries be designated as the single authoritative legal record for ownership, eliminating ambiguity in digital twin structures. In a separate reaction, Ripple CEO Brad Garlinghouse declared the "anti-crypto army" defeated, citing support from courts, voters, and former U.S. President Donald Trump, who criticized former SEC Chair Gary Gensler and vowed to codify pro-crypto legislation.

Crypto firm Ripple has sent a letter to the U.S. Securities and Exchange Commission (SEC) demanding clarity on the treatment of payment stablecoins and tokenized securities. This follows a meeting that the firm held with the Commission’s Crypto Task Force a couple of months ago.

Ripple Requests SEC To Provide Clarity On Stablecoins and Tokenized Securities

In a letter addressed to the SEC’s Crypto Task Force, Ripple requested clarity on stablecoins and tokenized deposits and offered suggestions on how the Commission could proceed. Firstly, the crypto firm cited the need for clarity on the treatment of stablecoins as collateral and suggested that the Commission amend Rule 15c3-1 to clarify how stablecoins can be properly applied on balance sheets.

Furthermore, Ripple demanded clarity on the requirements for custodying clients’ stablecoins and suggested that the SEC amend Rule 15c3-3 to define the category of “Qualified Payment Stablecoins.” The firm also asked the Crypto Task Force to clarify that crypto asset non-securities, aside from Bitcoin and Ethereum, can receive equivalent treatment. Ripple alluded to the SEC’s recent guidance, which classified other major cryptos as commodities alongside BTC and ETH.

To achieve this, Ripple suggested that the SEC revise Question 4 in the FAQ relating to crypto asset activities to account for any non-securities that meet the readily marketable definition. The firm further asked the Commission to provide an analysis that illustrates how a 2% haircut for stablecoins remains punitive. They suggested that stablecoins should have 0% haircut, provided there is a mint-burn relationship between the broker-dealer and issuer.

Lastly, Ripple asked the SEC Crypto Task Force to clarify which registry of ownership, whether off-chain or on-chain, takes precedence to determine ownership and legally enforceable rights. The firm urged the Task Force to designate the on-chain registry as the single authoritative legal register, thereby eliminating the dual-registry ambiguity that arises in digital twin structures.

Ripple mentioned in the letter that the response was a follow-up to their March 20 meeting with the SEC Crypto Task Force. The firm further revealed that they had discussed the treatment of payment stablecoins and tokenized securities under the net capital and consumer protection rules, as well as potential next steps toward broader guidance.

Ripple CEO Says Anti-Crypto Army Has Been Defeated

In an X post, Ripple CEO Brad Garlinghouse said that the anti-crypto army was defeated by the courts, the voters, and U.S. President Donald Trump. He noted how the crypto witch hunt never made “policy, legal, or political sense.” He added that combating financial innovation only helped protect those who wanted to keep the old, often broken, system in place.

Garlinghouse was reacting to a post by President Trump in which he called out former SEC Chair Gary Gensler and the anti-crypto army for nearly destroying the American crypto industry. The president also vowed that his administration will codify the CLARITY Act, which cannot be undone by the “crypto haters.”

XRP trading at $1.31 on the 1D chart | Source: XRPUSDT on Tradingview.com

Perguntas relacionadas

QWhat specific clarity did Ripple request from the SEC's Crypto Task Force regarding stablecoins?

ARipple requested clarity on the treatment of stablecoins as collateral, asking the SEC to amend Rule 15c3-1 to clarify how stablecoins can be properly applied on balance sheets. The company also demanded clarity on the requirements for custodying clients' stablecoins and suggested the SEC amend Rule 15c3-3 to define the category of 'Qualified Payment Stablecoins'.

QWhat suggestion did Ripple make regarding the 'haircut' for stablecoins on broker-dealer balance sheets?

ARipple suggested that stablecoins should have a 0% haircut, provided there is a mint-burn relationship between the broker-dealer and the issuer. The company asked the SEC to provide an analysis showing how the current 2% haircut remains punitive.

QWhat did Ripple ask the SEC to clarify about the registry of ownership for digital assets?

ARipple asked the SEC Crypto Task Force to clarify which registry of ownership, whether off-chain or on-chain, takes precedence to determine ownership and legally enforceable rights. The firm urged the Task Force to designate the on-chain registry as the single authoritative legal register to eliminate dual-registry ambiguity.

QAccording to Ripple's CEO Brad Garlinghouse, who or what has defeated the 'anti-crypto army'?

ARipple CEO Brad Garlinghouse stated that the anti-crypto army was defeated by the courts, the voters, and U.S. President Donald Trump.

QWhat legislative action did President Trump vow to take regarding the crypto industry?

APresident Trump vowed that his administration will codify the CLARITY Act, which he stated cannot be undone by 'crypto haters'.

Leituras Relacionadas

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.

marsbitHá 42m

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

marsbitHá 42m

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.

marsbitHá 46m

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

marsbitHá 46m

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.

marsbitHá 46m

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

marsbitHá 46m

Trading

Spot
活动图片