National Trust Charters For Crypto Under Fire—Senator Warren Says It Goes Beyond The Law

bitcoinistPublicado em 2026-05-19Última atualização em 2026-05-19

Resumo

Senator Elizabeth Warren is challenging the Office of the Comptroller of the Currency's (OCC) approval of national trust bank charters for crypto companies. She argues that approvals for firms like Ripple, Circle, BitGo, Fidelity, Paxos, and Coinbase appear to go beyond the limited activities permitted by law, potentially violating the National Bank Act. Warren warns that allowing crypto firms to engage in bank-like activities—such as lending and payments—without equivalent regulations could threaten consumer protection and financial system stability. Traditional banks have also objected to the OCC's approach. In defense, OCC Comptroller Jonathan Gould stated that including new entrants promotes competition, modernization, and benefits consumers and the broader industry.

Senator Elizabeth Warren is taking a new aim at the crypto industry, now challenging how the Office of the Comptroller of the Currency (OCC) has handled national trust bank charters for digital asset firms.

Her latest concern centers on the OCC’s approvals—some granted on a conditional basis over recent months—at a time when the conventional banking sector has already been raising objections throughout the year.

Warren Challenges OCC On Crypto Charters

Bloomberg reports that Warren’s argument is that at least some of the companies appear to be “seemingly ineligible” for the type of charter they are receiving.

In her letter to Jonathan Gould, the head of the OCC, the Senator said the regulator has approved at least nine national trust charters for crypto companies that, in her view, “appear to go far beyond the narrow set of activities permitted by law.” Warren went further, describing what she sees as an “apparent violation of the National Bank Act.”

Among the approvals mentioned are those granted to crypto giants such as Ripple, Circle (CRCL), BitGo, Fidelity, and Paxos in December of last year.

Others, such as Coinbase (COIN), received conditional approval from the OCC to establish Coinbase National Trust Company. Around the same timeframe, Kraken’s parent company, Payward, also filed an application seeking approval for a National Trust Company charter.

Those approvals would allow these companies to manage and hold assets on behalf of customers—an arrangement that could speed up payment settlement compared with older processing timelines.

However, Warren’s critique is not only about what the trust charters allow today, but also about where she believes some firms may be headed next.

OCC’s Defense

Per the report, the Massachusetts Democrat argued that some companies are trying to move past traditional custody and into business areas that look more like banking operations. That includes activities such as lending, payments, and running trading platform-type services.

In her view, easing rules for trust companies this year could effectively enable crypto firms to broaden their financial activities too far, without the same level of constraints and oversight that typically apply to banks.

Warren framed the concern as follows: if crypto firms are permitted to engage in bank-like businesses without “the same regulations and safeguards,” it could create problems for consumer protection and for overall stability in the financial system.

Yet, the Senator is not the only critic of the OCC’s approach. Traditional banks have voiced their own apprehension throughout the year, arguing that the OCC’s approvals stretch the historical intent behind the national trust bank charter.

The OCC, through Comptroller of the Currency Jonathan Gould, has defended its actions. Last year, Gould emphasized that bringing new entrants into the federal banking system could improve competition and deliver additional products and services.

From his perspective, the OCC’s approach is beneficial for both consumers and the broader banking industry, and it supports modernization rather than regulatory dilution.

The daily chart shows the total crypto market cap dropping to $2.5 trillion on Tuesday. Source: TOTAL on Tradingview

Featured image created with OpenArt, chart from TradingView.com

Perguntas relacionadas

QWhat is Senator Elizabeth Warren's main criticism regarding the OCC's approval of national trust bank charters for crypto firms?

ASenator Elizabeth Warren's main criticism is that the OCC has approved at least nine national trust charters for crypto companies that, in her view, appear to go far beyond the narrow set of activities permitted by law, describing it as an 'apparent violation of the National Bank Act'. She is concerned these firms may be moving into bank-like operations without the same regulations and safeguards, posing risks to consumer protection and financial stability.

QWhich major crypto companies received national trust charter approvals from the OCC as mentioned in the article?

AThe article mentions that approvals were granted to crypto giants such as Ripple, Circle (CRCL), BitGo, Fidelity, and Paxos in December of last year. Additionally, Coinbase (COIN) received conditional approval, and Kraken's parent company, Payward, filed an application for a similar charter.

QWhat activities, according to Senator Warren, are some crypto companies with trust charters trying to expand into that resemble traditional banking?

AAccording to Senator Warren, some crypto companies are trying to move beyond traditional custody services and expand into business areas that look more like banking operations. These include activities such as lending, payments, and running trading platform-type services.

QHow has the OCC, specifically Comptroller Jonathan Gould, defended its decision to grant trust charters to crypto firms?

AThe OCC, through Comptroller Jonathan Gould, has defended its actions by emphasizing that bringing new entrants into the federal banking system could improve competition and deliver additional products and services. Gould believes the approach is beneficial for consumers and the broader banking industry, supporting modernization rather than regulatory dilution.

QWhat is a key concern shared by both Senator Warren and traditional banks regarding the OCC's crypto trust charters?

AA key concern shared by both Senator Warren and traditional banks is that the OCC's approvals for crypto firms stretch the historical intent behind the national trust bank charter. They argue it could allow these firms to engage in bank-like businesses without being subject to the same level of constraints, oversight, and safeguards that typically apply to banks, potentially creating systemic risks.

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 41m

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

marsbitHá 41m

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