FATF Warns of Growing Role of Stablecoins in 'Digital Hawala'

cryptonews.ruPublicado em 2026-09-04Última atualização em 2026-09-04

Resumo

In a new report, the Financial Action Task Force (FATF) warns that traditional informal financial networks, such as hawala, are increasingly using cryptocurrencies, including stablecoins, for money laundering. This evolving method is termed "digital hawala." A survey across 46 jurisdictions revealed nearly 70% of respondents noted these networks adopting new technologies, such as encrypted messengers, social media promotion, and reduced cash use. Clients of illegal banking are increasingly using bank transfers, fintech apps, instant payment systems, crypto platforms, and stablecoins like USDT, USDC, and DAI to mitigate volatility. Over 80% of respondents identified hawala-type systems as a primary channel for professional money laundering. The report states that digital tools can enhance the efficiency of these activities, aid in concealing funds, and expand the networks' geographic reach. FATF has previously called for tighter controls on stablecoins, noting in a March report that they accounted for up to 84% of illegal crypto transactions in 2025. It highlighted that peer-to-peer transfers between non-custodial wallets bypass anti-money laundering systems. The Bank of Russia has emphasized that its developing regulations for the crypto market are aligned with FATF recommendations.

Traditional informal financial networks operating on the hawala principle are increasingly being used to launder money through cryptocurrencies, including stablecoins, according to a new report by the Financial Action Task Force (FATF). The authors note that illicit banking is transforming into "digital hawala."

A survey was conducted in 46 jurisdictions, and nearly 70% of respondents noted the adoption of new technologies by informal networks. The growing trend towards using "digital hawala" includes the use of encrypted messengers, promotion on social media, and a reduced reliance on cash.

Clients of illicit banking are increasingly making bank transfers, using fintech apps or instant payment systems, crypto platforms, as well as stablecoins. The latter are used to reduce volatility, FATF noted.

"In more advanced models, operators use virtual assets, including stablecoins such as USDT, USDC, and DAI, to replace or complement traditional methods for settlements. These mechanisms can include fast transfers, conversion to cash, or hybrid combinations," the report states.

Over 80% of survey respondents classified systems like hawala as key channels or methods for professional money laundering. The adoption of digital tools could increase the efficiency of this activity, facilitate the concealment of funds, and expand the geographic reach of networks, the authors believe.

FATF has already called for better oversight of stablecoins, releasing a 40-page report in March on the risks of such tokens and their peer-to-peer transfers without regulated intermediaries. The document noted that stablecoins accounted for up to 84% of illicit crypto transactions in 2025. It was separately emphasized that transfers between private non-custodial wallets create a vulnerability, bypassing anti-money laundering systems.

During the preparation of the Russian law "On Digital Currencies and Digital Rights," which came into force, the Bank of Russia repeatedly emphasized that the regulation of the crypto market is being developed precisely taking into account FATF recommendations.

end-content

Perguntas relacionadas

QWhat is the main concern raised by FATF regarding stablecoins in its new report?

AThe main concern is that stablecoins are increasingly being used by traditional informal financial networks, like hawala, for money laundering, facilitating a shift towards 'digital hawala.'

QWhat percentage of survey respondents identified hawala-type systems as major channels for professional money laundering?

AOver 80% of the survey respondents identified hawala-type systems as major channels or methods for professional money laundering.

QAccording to the FATF report, what technologies are informal networks increasingly adopting?

AInformal networks are increasingly adopting new technologies such as encrypted messengers, social media promotion, fintech apps, instant payment systems, crypto platforms, and stablecoins, while reducing their use of cash.

QWhat specific vulnerability is created by peer-to-peer transfers between private non-custodial wallets, as highlighted by FATF?

APeer-to-peer transfers between private non-custodial wallets create a vulnerability because they operate outside the anti-money laundering control system.

QHow does the Bank of Russia's approach to regulating the crypto market relate to the FATF's work?

AThe Bank of Russia has emphasized that its regulatory framework for the crypto market, as seen in the law 'On Digital Currencies and Digital Rights,' is being developed specifically in consideration of FATF recommendations.

Leituras Relacionadas

ICP Cloud Engine Heats Up: "20% of Revenue Used for Burn", How Far is it From Token Revaluation?

The ICP community is discussing Cloud Engines, a product enabling enterprises to run private subnets on the Internet Computer. It is linked to the "Mission 70" deflationary plan, where node providers allocate 20% of Cloud Engines revenue to buy and burn ICP tokens, aiming to reduce ICP's inflation rate from 9.72% to 2.92%. This narrative connects enterprise adoption to token scarcity and potential price appreciation for ICP, which is down 99.6% from its peak. Cloud Engines functions as a "custom data center," offering businesses dedicated, sovereign infrastructure without vendor lock-in, using the same underlying protocol as the public ICP network. Key selling points include data sovereignty and hardware choice. However, critical features like SEV-encrypted nodes (for enhanced security) and operator-controlled upgrades are still on the roadmap, not yet live. Early adopters include Pakistan's national cloud engine and a UNDP pilot. The "Mission 70" goal relies on two pillars: supply-side reductions (like cutting node rewards) and demand-side increases in token burns from Cloud Engines revenue. While supply-side changes can be enacted via governance, the demand-side depends entirely on market adoption. Current daily burn rates are far below the levels needed to achieve the 26% deflation target attributed to increased burns. Analysts remain cautious, viewing the 20% burn mechanism as a forward-looking narrative. The product is in early access, and significant, scalable enterprise adoption is unproven. Near-term price catalysts are more likely to come from implementable supply-side governance proposals. The Cloud Engines story represents a longer-term bet on ICP capturing a segment of the enterprise cloud market, with token revaluation contingent on the product generating substantial, quantifiable burn data.

marsbitHá 13m

ICP Cloud Engine Heats Up: "20% of Revenue Used for Burn", How Far is it From Token Revaluation?

marsbitHá 13m

Bank of America's Hartnett: Interest Rate Hikes Become the Biggest Positive, Bond-Ending Bubble Logic Is Spreading

In a recent note, Bank of America strategist Michael Hartnett argues that aggressive central bank tightening, including a potential Fed hike in October, could paradoxically be the most bullish near-term catalyst for risk assets. His core thesis is "the bond bubble is bursting." While stocks remain resilient due to strong US data, solid earnings expectations, and robust AI-related capital expenditure plans, bonds are already showing severe stress, with government bonds down 4.4% year-to-date. The logic is that a proactive Fed hike could help anchor runaway long-end yields (the 10-year recently touched 5.36%), preventing a disorderly surge toward 6%. Without such action, the pressure from rising term premiums could continue unabated. The damage from higher rates is already visible in the most rate-sensitive areas: South Korean retail brokers, French government bonds (with the France-Germany spread hitting 140 bps, reminiscent of the 2012 crisis), and CCC-rated credit. Hartnett highlights that the $8 trillion in money market funds is unlikely to flow into equities without a clear shift to monetary easing. Furthermore, the upcoming US midterm elections pose a key risk; a Democratic sweep (currently a 64% probability) could trigger a >10% equity sell-off due to fears of higher taxes and regulation. Near-term strategy involves positioning for a peak in yields (e.g., long 30-year Treasuries) and risk contraction ahead of the elections, while maintaining exposure to commodities and EM assets. Key levels to watch include 10-year yields at 6%, the France-Germany spread at 150 bps, and a Bull & Bear Indicator below 8 for a potential risk rebound.

marsbitHá 17m

Bank of America's Hartnett: Interest Rate Hikes Become the Biggest Positive, Bond-Ending Bubble Logic Is Spreading

marsbitHá 17m

Silicon Valley AI Status: Whoever Has the Compute is the Boss

The Silicon Valley AI Power Crunch: Compute is King Silicon Valley's race for AI dominance has devolved into a desperate scramble for computing power. The situation has become so extreme that even top executives are resorting to unusual measures. Anthropic's CEO Dario Amodei was reportedly turned down by Meta's Mark Zuckerberg when seeking additional GPU resources, leading to a deal where SpaceX acts as a broker, reselling Nvidia GPUs to Anthropic. This venture reportedly generated $2.561 billion in quarterly AI revenue for SpaceX. The shortage is reshaping the industry's dynamics, creating a new "compute economy" where GPU access is the ultimate currency. This scarcity is causing internal strife at major firms and altering competitive landscapes. A high-profile example is Noam Shazeer, a key AI scientist whom Google re-hired for $2.7 billion, only for him to leave for OpenAI reportedly due to insufficient compute resources for his team. Similar frustrations over resource allocation have been cited within Google and DeepMind. For AI startups, the challenge is existential. Cloud providers are now demanding multi-year contracts with large upfront payments, making flexible, on-demand access nearly impossible. This has spurred innovative workarounds, including a new market for "global compute prospecting"—companies scavenging for underutilized server capacity worldwide—and venture capital firms like Y Combinator and Radical Ventures directly acquiring and allocating GPU clusters for their portfolio companies. The root causes are complex: explosive growth in AI model complexity and the shift from simple chatbots to persistent "Agent" systems dramatically increase compute demands. While tech giants are building new data centers, supply cannot keep pace with immediate needs. Rental prices for critical chips like the Nvidia H100 have surged nearly 40% in months. The consequence is a consolidation of power. Compute access is becoming the definitive barrier to entry, significantly strengthening large companies with their own infrastructure and creating a lucrative "picks and shovels" market for those who control the hardware supply. In today's Silicon Valley, compute isn't just a resource—it's the foundation of survival and competitive advantage.

marsbitHá 43m

Silicon Valley AI Status: Whoever Has the Compute is the Boss

marsbitHá 43m

Even Losing Money Requires Waiting in Line, How Far Can PaperTrade's 1000x Leverage Experiment Go?

PaperTrade, a synthetic perpetual contract platform built on HyperEVM, launched on October 10th. Its defining feature is offering up to 1000x leverage and rewarding users with its native token, PAPER, for trading losses or liquidations—a mechanism dubbed "losing money to mine." This sparked initial frenzy, with users queuing to execute trades and generate losses for PAPER rewards. Within 24 hours, nominal trading volume exceeded $678 billion. The platform operates without traditional order books; users trade directly against a shared USDC liquidity pool. Profits are paid from this pool, but if insufficient funds exist, payments queue on a first-in, first-out basis. PAPER has zero initial supply, minted solely from qualifying user losses, and can be staked for a share of protocol revenue. However, controversies emerged quickly. Smaller orders faced longer execution queues compared to larger ones. More critically, PaperTrade's reliance on Hyperliquid's mid-price for asset pricing made it vulnerable to market manipulation. Reports indicated that actors potentially moved prices on Hyperliquid to profit from large, highly leveraged positions on PaperTrade. The team acknowledged this as a known risk, exacerbated by high initial position limits, and has since tightened limits to reduce the attack surface. After the initial surge, open interest and margin deposited have significantly declined. The platform's long-term viability hinges on whether the value and revenue share from PAPER can justify the initial "loss-mining" strategy for users, moving beyond speculative hype to sustainable returns.

marsbitHá 1h

Even Losing Money Requires Waiting in Line, How Far Can PaperTrade's 1000x Leverage Experiment Go?

marsbitHá 1h

Trading

Spot
活动图片