Federal Reserve Withdraws Crypto Rules, Banks Get More Freedom

bitcoinistPublicado em 2025-12-18Última atualização em 2025-12-18

The Federal Reserve announced on April 24, 2025, that it is pulling back previous rules for banks handling crypto and dollar tokens. From now on, banks will be supervised the usual way, instead of through separate crypto-focused requirements.

Banks Can Now Move Faster With Crypto

The rules being withdrawn included a 2022 letter that told state member banks to notify the Fed before dealing with crypto, and a 2023 letter that required approval before handling dollar tokens. These rules had kept some smaller banks, especially uninsured crypto-focused ones, from accessing Fed accounts or payment systems.

Other regulators moved at the same time. The FDIC and the OCC also withdrew two 2023 statements about crypto risks. Those statements had flagged issues like liquidity and governance risks in crypto banking. By pulling them back, banks now face fewer formal roadblocks when offering crypto services.

Fed’s New Guidance

On Dec. 17, 2025, the Fed introduced new guidance to give both insured and uninsured state member banks a clear path to explore activities like cryptocurrencies, as long as they meet the Fed’s risk-management standards, the central bank said.


Supervision Now Part Of Normal Oversight

The Fed said it will continue watching banks’ crypto work, but through regular supervisory processes. Banks don’t need to send extra notifications or get prior approval for crypto activities anymore. That includes things like custody, trading, or settlement of digital assets. There aren’t new rules being added — it’s just now part of normal oversight.

Total crypto market cap currently at $2.9 trillion. Chart: TradingView

Key Dates And Actions

The important date is April 24, 2025. On this day, the Fed withdrew letters from 2022 and 2023, along with the two joint interagency statements from 2023. These had previously told banks how to report and get approval for crypto work. The withdrawal simply moves crypto activities into regular bank supervision.

The US Federal Reserve. Image: TuftsNow

What This Means For Banks And Markets

Banks have more leeway to provide crypto services because they no longer have to follow the old regulations. They’ve gained the ability to quickly develop, test, and manage digital assets. However, the Fed continues to keep an eye on how banks manage their risks.

While this change does not eliminate all regulatory requirements, it eliminates much of the extra duplication of paperwork and approvals that acted as barriers and impeded progress in the past.

Featured image from Unsplash, chart from TradingView

Perguntas relacionadas

QWhat did the Federal Reserve announce on April 24, 2025, regarding banks and crypto?

AThe Federal Reserve announced that it is pulling back previous rules for banks handling crypto and dollar tokens, and that banks will now be supervised through the usual way instead of separate crypto-focused requirements.

QWhich specific regulatory documents were withdrawn by the Fed?

AThe Fed withdrew a 2022 letter that required state member banks to notify the Fed before dealing with crypto, a 2023 letter that required approval before handling dollar tokens, and two joint interagency statements from 2023 about crypto risks.

QHow does the new Fed guidance change the process for banks engaging in crypto activities?

ABanks no longer need to send extra notifications or get prior approval for crypto activities like custody, trading, or settlement of digital assets. These activities are now supervised through regular oversight processes instead of separate requirements.

QWhat was the significance of the 2023 policy statements that were withdrawn?

AThe 2023 statements had flagged issues like liquidity and governance risks in crypto banking and acted as formal roadblocks, which kept some smaller and uninsured crypto-focused banks from accessing Fed accounts or payment systems.

QWhat are the implications of this regulatory change for banks and the crypto market?

ABanks now have more freedom to quickly develop, test, and manage digital asset services without the extra duplication of paperwork and approvals. However, the Fed will continue to oversee risk management, and the change integrates crypto into normal bank supervision rather than eliminating all regulations.

Leituras Relacionadas

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbitHá 47m

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbitHá 47m

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbitHá 54m

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbitHá 54m

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbitHá 1h

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbitHá 1h

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbitHá 1h

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbitHá 1h

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbitHá 1h

a16z Crypto Partner: Cash Flow is the Moat

marsbitHá 1h

Trading

Spot
Futuros
活动图片