UK tests stablecoins in regulatory sandbox while proposing limits on user holdings

ambcryptoPublicado em 2026-02-25Última atualização em 2026-02-25

Resumo

UK regulators are advancing a dual approach to stablecoin regulation, combining live testing within the Financial Conduct Authority’s sandbox with proposed limits on user holdings. The sandbox includes firms like Revolut and Monee Financial Technologies, trialing applications in payments, settlement, and crypto trading under strict supervision. Concurrently, the Bank of England has proposed temporary caps—£20,000 per stablecoin for individuals and £10 million for businesses—to mitigate systemic risks such as bank deposit flight. This cautious "test and contain" strategy aims to foster innovation in pound-denominated stablecoins while preventing rapid scaling until the market matures. The UK’s approach reflects the minor global role of non-dollar stablecoins and focuses on ensuring safe integration into the existing financial system.

UK regulators have begun live testing of stablecoin use cases under a controlled sandbox programme. This comes even as policymakers move to impose limits on the amount of stablecoin users can hold domestically.

The parallel initiatives underscore a cautious regulatory approach: encouraging experimentation with pound-denominated stablecoins while putting guardrails in place to prevent them from becoming systemically significant too quickly.

FCA sandbox moves stablecoin testing into live trials

The testing is taking place under a sandbox run by the Financial Conduct Authority, which allows firms to trial new financial products under regulatory supervision.

The sandbox includes a small group of participants assessing potential applications such as payments, wholesale settlement, and crypto trading. Revolut, Monee Financial Technologies, ReStabilise, and VVTX would be part of the testing.

Work is expected to begin this quarter, with testing conducted in tightly controlled conditions rather than through public rollouts.

Notably, the trials do not include major high-street banks, reflecting the continued caution among large UK lenders toward issuing or distributing stablecoins.

Proposed holding caps signal prudence

Running alongside the sandbox is a separate proposal from the Bank of England to cap the amount of stablecoins that UK users can hold, at least during the early phase of adoption.

Under the proposal, individuals would face limits on holdings of a given systemic stablecoin. At the same time, businesses would be subject to higher thresholds.

Individuals will be allowed up to about £20,000 per coin, while companies will be allowed up to about £10 million per coin.

The measures are intended as temporary safeguards to mitigate risks such as deposit flight from traditional banks and rapid outflows during periods of stress.

The caps would apply only to stablecoins deemed systemic and are designed to be revisited as the market matures.

UK takes a “test and contain” approach

Taken together, the sandbox and holding-limit proposals reflect a regulatory strategy that prioritises learning and containment over rapid scale.

While regulators acknowledge that stablecoins could improve efficiency in areas like payments and settlement, they remain wary of their potential to blur the line between bank deposits and crypto-based instruments.

The Bank of England has previously encouraged banks to focus on tokenised deposits rather than issuing stablecoins directly.

Pound stablecoins remain marginal globally

The UK’s measured stance also reflects the limited global footprint of non-dollar stablecoins.

Industry data shows that pound- and euro-denominated stablecoins account for a fraction of global circulation, with dollar-pegged tokens continuing to dominate volumes.

Against that backdrop, the sandbox is less about accelerating mass adoption and more about determining whether sterling stablecoins can operate safely within the existing financial system.


Final Summary

  • The UK is allowing stablecoin testing to proceed, but only within tightly controlled regulatory boundaries.
  • Proposed holding limits suggest policymakers want to manage systemic risk before stablecoins reach meaningful scale.

Perguntas relacionadas

QWhat is the purpose of the UK's regulatory sandbox for stablecoins?

AThe purpose is to allow firms to trial new financial products, including stablecoin use cases for payments, wholesale settlement, and crypto trading, under the supervision of the Financial Conduct Authority (FCA) in a controlled environment.

QWhich companies are mentioned as participants in the FCA's stablecoin sandbox testing?

AThe participants mentioned are Revolut, Monee Financial Technologies, ReStabilise, and VVTX.

QWhat are the proposed holding limits for stablecoins in the UK according to the Bank of England?

AIndividuals would be allowed to hold up to about £20,000 per systemic stablecoin, while companies would be allowed up to about £10 million per coin.

QWhy are UK regulators proposing limits on stablecoin holdings?

AThe limits are proposed as temporary safeguards to mitigate risks such as deposit flight from traditional banks and rapid outflows during periods of stress, managing systemic risk before stablecoins reach a significant scale.

QWhat does the UK's regulatory approach to stablecoins prioritize, according to the article?

AThe regulatory strategy prioritizes learning and containment over rapid scale, encouraging experimentation with pound-denominated stablecoins while implementing guardrails to prevent them from becoming systemically significant too quickly.

Leituras Relacionadas

Morning Post | Bitmine Plans to Raise $300 Million Through Preferred Stock Issuance; Polymarket Accuses Kalshi of Commercial Espionage

ChainCatcher's Daily Crypto Brief: Key developments from the past 24 hours include significant funding moves, regulatory actions, and market predictions. Bitmine announced a $300 million preferred stock fundraising. Polymarket accused rival prediction platform Kalshi of corporate espionage, citing numerous suspicious coincidences in product launches, a claim Kalshi strongly denied. The U.S. Department of Justice, in a joint "Disruption Week" anti-fraud operation with companies like Coinbase and Meta, froze over $3.8 million in cryptocurrency linked to scams. In infrastructure news, Macau completed its integration with the multi-central bank digital currency bridge, mBridge, aiming to build efficient cross-border payment channels. Cosmos Labs acquired the block explorer Mintscan. Market-wise, Geoffrey Kendrick, Standard Chartered's Head of Digital Assets Research, stated Bitcoin is nearing a bottom around $63,000, maintaining a year-end target of $100,000. He noted stability in U.S. spot Bitcoin ETF holdings. Ahead of SpaceX's anticipated IPO, internal insiders at Rocket Lab (RKLB) sold over $18.41 million in stock. In tokenization, Goldman Sachs partnered with Apex and Archax to launch a tokenized real estate fund. The meme token tracker GMGN reported the top trending tokens: on Ethereum, HEX, SHIB, LINK, PEPE, mUSD; on Solana, TROLL, swarms, WORLDCUP, neet, Buttcoin; and on Base, PEPE, toby, ODDS, ELSA, SKI.

链捕手Há 12m

Morning Post | Bitmine Plans to Raise $300 Million Through Preferred Stock Issuance; Polymarket Accuses Kalshi of Commercial Espionage

链捕手Há 12m

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbitHá 29m

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbitHá 29m

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

marsbitHá 36m

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

marsbitHá 36m

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

U.S. Stocks Split: Dow Hits Record High as Nasdaq Slips; Broadcom's Plunge Sparks Rotation On June 4, the U.S. stock market saw a sharp divergence. The Dow Jones surged 875 points (+1.73%) to a record high of 51,561.93, while the Nasdaq Composite edged down 0.09%. The S&P 500 rose 0.41%. The primary catalyst was a sharp sell-off in AI-related chip stocks, led by Broadcom (AVGO). Despite reporting a 143% year-over-year jump in AI semiconductor revenue to $10.8 billion, the company's shares plunged about 14%. This was triggered by its maintained long-term AI revenue target, which failed to meet heightened expectations for a stock that had gained 55% this quarter and traded at a high P/E ratio. The slide dragged down the broader semiconductor sector and the technology板块. Conversely, money rotated into sectors like Healthcare (+3.14%), Financials (+2.67%), and Real Estate (+1.87%). UnitedHealth and Goldman Sachs were major contributors to the Dow's gains. The rotation was attributed to a search for value outside overheated tech names and a slight dip in Treasury yields. In other major news, SpaceX confirmed its IPO for June 12, targeting a record $75 billion raise at a ~$1.75 trillion valuation. Additionally, initial jobless claims rose to a four-month high, adding nuance to the labor market narrative ahead of the key May non-farm payrolls report. The day's action signaled that while the AI growth story remains intact, excessive valuations are prompting a market reassessment. Funds are moving, at least temporarily, from high-flying tech to more defensive and value-oriented sectors. The sustainability of this rotation hinges on upcoming economic data, particularly the jobs report, and the market's absorption of the massive SpaceX IPO.

marsbitHá 39m

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

marsbitHá 39m

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbitHá 48m

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbitHá 48m

Trading

Spot
Futuros
活动图片