THIS is the stablecoin power angle that nobody is talking about

ambcrypto2026-02-02 tarihinde yayınlandı2026-02-02 tarihinde güncellendi

Özet

Dollar-backed stablecoins are increasingly serving as a tool for the U.S. to extend its monetary influence abroad without physically moving dollars overseas, according to a Rabobank report. When foreign entities demand dollar stablecoins, U.S. issuers convert this demand into Treasury bill purchases, helping fund U.S. deficits at lower rates while digital tokens circulate internationally. This mechanism allows dollars to remain within the U.S. financial system while still facilitating global trade. Non-USD stablecoins are also gaining traction, with their supply surging 260% over the past year to a combined market cap of $1.55 billion, though they remain small compared to dollar-pegged alternatives. A key application driving adoption is crypto-backed payment cards, which have grown into an $18 billion market. Monthly transaction volumes have increased from $100 million in early 2023 to over $1.5 billion, growing at an annual rate exceeding 100%. These cards operate on top of traditional networks like Visa and Mastercard, using stablecoins to settle transactions in the background while maintaining a familiar user experience. In summary, dollar-backed stablecoins are expanding U.S. monetary power digitally without exporting physical dollars, while crypto payment infrastructure accelerates their real-world use.

Dollar-backed stablecoins are now more than just a crypto payment tool. Recent reports say that they may also be helping the U.S. extend dollar influence abroad, in a way that keeps real capital at home.

Here’s what you need to know.

Stablecoins – A secret weapon?

A report by Rabobank has stated that dollar-backed stablecoins are spreading dollar influence, without letting real dollars leave the country.

Source: X

The idea is that when a foreign firm wants a dollar stablecoin, a U.S. issuer converts that demand into Treasury bill purchases. Dollars flow back to the U.S. government, helping fund deficits at lower rates, while the firm gets digital dollars instead of cash.

In trade, it goes a step further. U.S. importers can pay exporters in stablecoins, while the underlying dollars stay parked in Treasuries. Only tokens move across borders.

With comparisons to the Soviet-era trade ruble, dollars are exported digitally… all while keeping the power at home.

Non-dollar stablecoins step up

That growing influence hasn’t gone unnoticed, with non-USD-pegged alternatives gaining ground.

For long, more than 99% of stablecoins were pegged to the U.S. dollar. That number is now decreasing at the margins.

Over the past year, non-USD stablecoins have surged 260% in supply, pushing their combined market cap to about $1.55 billion.

Source: X

It’s still small next to dollar-backed giants, but it certainly matters.

All of this theory matters because…

…it’s already showing up in day-to-day payments. One of the fastest-growing payment modes for stablecoins right now is crypto cards.

Source: X

Once a niche product, crypto cards are now an $18 billion market.

Monthly volumes went from about $100 million in early 2023 to over $1.5 billion today, growing at a 100%+ annual rate.

Source: X

Importantly, these cards don’t replace Visa or Mastercard.

Rather, they sit on top of them. Stablecoins fund the transaction in the background, while card networks handle acceptance. For users and merchants, what looks like normal payments are actually digital dollars doing the work.

Final Thoughts

Dollar-backed stablecoins are exporting U.S. monetary power, without exporting actual dollars.
As crypto cards grow, digital dollars are moving fast.

İlgili Sorular

QHow are dollar-backed stablecoins helping the U.S. extend dollar influence abroad without exporting real dollars?

ADollar-backed stablecoins allow foreign firms to obtain digital dollars while U.S. issuers convert that demand into Treasury bill purchases. This keeps actual dollars within the U.S., helping fund deficits at lower rates, while only tokens move across borders.

QWhat is the current market trend for non-USD-pegged stablecoins?

ANon-USD stablecoins have surged 260% in supply over the past year, reaching a combined market cap of approximately $1.55 billion, though they remain small compared to dollar-backed stablecoins.

QHow are crypto cards contributing to the growth of stablecoin payments?

ACrypto cards, now an $18 billion market, use stablecoins to fund transactions in the background while leveraging traditional card networks like Visa or Mastercard for acceptance. Monthly volumes grew from $100 million in early 2023 to over $1.5 billion, with a 100%+ annual growth rate.

QWhat role do U.S. Treasury bills play in the stablecoin ecosystem?

AWhen foreign demand for dollar stablecoins arises, U.S. issuers purchase Treasury bills with the incoming dollars, effectively recycling foreign demand into U.S. government debt and keeping capital domestically parked.

QWhy are non-USD stablecoins gaining traction despite the dominance of dollar-backed options?

ANon-USD stablecoins are growing as alternatives to reduce reliance on U.S. dollar influence, with a 260% supply increase reflecting heightened interest in diversified digital currency pegs.

İlgili Okumalar

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.

marsbit10 dk önce

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

marsbit10 dk önce

The Bitcoin Roadmap To $500,000: Analyst Shows How Price Will Get There

An analyst projects Bitcoin could reach $500,000 based on technical chart analysis, mapping out a multi-phase roadmap within a long-term ascending channel. The analyst, Crypto Tice, states Bitcoin has completed the first phase ("First touch") of the pattern and is entering a second phase that could trigger its strongest rally yet, potentially driving a more than 693% increase from current levels above $63,000. This would be followed by a final pullback. This outlook comes as Bitcoin faces significant selling pressure, having fallen 17% over three days to around $61,300, erasing roughly $250 billion in market cap. The downturn has also impacted other major cryptocurrencies like Ethereum. Despite the crypto market decline, U.S. equities remain near highs, creating a notable divergence that some suggest could indicate market manipulation or crypto front-running a potential stock market correction.

bitcoinist22 dk önce

The Bitcoin Roadmap To $500,000: Analyst Shows How Price Will Get There

bitcoinist22 dk önce

Expected $1 Billion Crypto Windfall Shrinks To Fraction In Israel Disclosure Program

Israel's voluntary crypto disclosure program has seen a much weaker response than expected, with only 58 individuals coming forward. Tax authorities had projected up to $1 billion in revenue from the initiative, but early reports indicate declared crypto capital totals only about $50 million. The program offered immunity from criminal charges for correcting past reporting errors, but its lack of an anonymous option reportedly deterred many holders who feared putting their names on record. With an estimated $1 billion in digital assets held by Israeli residents, the disclosures so far represent only a small fraction of the market. The filing window, which has specific conditions and runs until August 2026, remains open.

bitcoinist34 dk önce

Expected $1 Billion Crypto Windfall Shrinks To Fraction In Israel Disclosure Program

bitcoinist34 dk önce

Breaking News! Anthropic Calls for a Universal Pause in AI Research

Anthropic warns of AI self-evolution, reporting that over 80% of its internal code is now written by its AI, Claude. Productivity has surged, with engineers merging 8x more code than in 2024. Claude's performance on complex, open-ended tasks jumped from 26% to 76% success in six months, nearing human parity. The company introduces a new metric: "AI task duration." In 2024, AI handled 4-minute tasks; by 2026, it manages 16-hour tasks, with capability doubling every 4 months. Claude also reviews code, catching bugs that previously caused outages, and significantly outperforms humans in research tasks like optimizing code (52x speedup) and conducting AI safety experiments. Anthropic outlines three potential futures: 1) Progress plateaus, 2) AI accelerates but humans remain in control, or 3) AI achieves full recursive self-improvement (RSI), designing its own successors. This final path could revolutionize fields like medicine but also risks catastrophic alignment failure if control is lost. The call echoes similar concerns from OpenAI. Anthropic proposes a coordinated pause on AI development—if a verifiable mechanism to ensure all labs comply can be established.

marsbit39 dk önce

Breaking News! Anthropic Calls for a Universal Pause in AI Research

marsbit39 dk önce

Probability in the Price: How World Cup Odds Are Calculated

**The Probability in the Price: How World Cup Odds Are Calculated** Two major systems released their "championship probabilities" before the 2026 World Cup, and they disagreed on the favorite. Prediction market aggregators listed France at around **17%**, while the Opta supercomputer gave European champion Spain **16.1%**. These numbers look similar, but their production methods are fundamentally different. The market's **17%** is the **price** that clears after hundreds of millions of dollars in trading across platforms like Polymarket and Kalshi, where contracts trade between 0 and 100 cents, directly representing implied probability. This liquidity is provided by crypto-native market makers like Wintermute, though the market still has "the liquidity profile of an early-stage" asset class. In contrast, Opta's **16.1%** is a **simulated frequency**. Its model uses team data (including betting market odds as an input) to estimate match probabilities, then runs **10,000 full tournament simulations**, counting how often each team wins. Which is more accurate? There is **no rigorous, cross-tournament academic study** directly comparing their track records. However, a persistent **longshot bias**—where low-probability outcomes are systematically overvalued—observed in traditional betting for nearly a century, has also been found in modern crypto prediction markets. Research shows low-price contracts on Kalshi/Polymer less likely to pay out than their implied odds suggest. Unlike traditional bookmakers, prediction markets operate on **public blockchain ledgers**, making every transaction auditable and enabling such research. However, price formation is also influenced by **regulatory uncertainty**, as seen in recent US state-level bans and legal battles over jurisdiction. In summary, the "probability" you see is either a **market-clearing price** subject to behavioral biases and liquidity constraints, or a **model-simulated frequency** that partially incorporates market data. The question of which method is more reliable remains open, highlighting the importance of asking: **How was this number produced?**

marsbit39 dk önce

İşlemler

Spot

Futures