THIS is the stablecoin power angle that nobody is talking about

ambcryptoPubblicato 2026-02-02Pubblicato ultima volta 2026-02-02

Introduzione

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.

Domande pertinenti

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.

Letture associate

Crypto Crime Hit Hard: $700 Million Frozen By DOJ Strike Force

A US law enforcement task force has frozen over $700 million in cryptocurrency linked to investment scams targeting Americans. The operation, which involved cooperation from crypto exchanges and legal processes, also took down more than 500 fraudulent websites and a Telegram channel used to recruit victims. Two Chinese nationals were named in arrest warrants for operating a scam compound in Burma. In a related move, the US State Department announced a $10 million reward for information disrupting scam centers in Burma. Singaporean authorities, alongside major crypto exchanges and analytics firms, also prevented nearly $3 million in losses through a parallel operation. The scale of cybercrime remains vast, with the FBI reporting over $20 billion in losses in 2025.

bitcoinist29 min fa

Crypto Crime Hit Hard: $700 Million Frozen By DOJ Strike Force

bitcoinist29 min fa

Toncoin Fees To Drop 6x As Network Moves Toward Feeless Transactions

Telegram founder Pavel Durov announced that the Toncoin (TON) network will reduce transaction fees by six times in one week, lowering the cost to just 0.00039 TON (approximately $0.0005). This fee reduction is part of the "Make TON Great Again" (MTONGA) roadmap and will remain fixed regardless of network congestion. The update follows a recent upgrade that made the network 10 times faster and transactions nearly instant. Durov also hinted that future steps aim to make most transactions fully feeless. Although Telegram discontinued formal involvement with TON due to regulatory issues, Durov remains a strong supporter. Currently, Toncoin is trading around $1.30, down over 8% in the past week.

bitcoinist59 min fa

Toncoin Fees To Drop 6x As Network Moves Toward Feeless Transactions

bitcoinist59 min fa

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit1 h fa

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit1 h fa

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit2 h fa

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit2 h fa

Analyst Reveals Accumulation Level For Dogecoin Before It Rallies To $2

A crypto analyst, Crypto Patel, predicts that Dogecoin (DOGE) could rally to $2, despite currently trading below $0.10. The analyst identifies a key accumulation zone between $0.07 and $0.09, where DOGE has repeatedly tested support without breaking down. Based on a bi-weekly chart using Elliott Wave theory, DOGE is in a Wave 4 consolidation phase within a descending channel. A bounce from this support is expected to trigger a Wave 5 rally, projecting a 2,767% surge toward $2. Price targets are set sequentially at $0.50, $1, and $2, with a stop-loss below $0.048. For a bullish trend reversal, DOGE must break above the $0.10 resistance level, which was recently rejected in April. Analysts emphasize that market conditions and a confirmed higher high are critical for the projected uptrend.

bitcoinist2 h fa

Analyst Reveals Accumulation Level For Dogecoin Before It Rallies To $2

bitcoinist2 h fa

Trading

Spot

Futures