Stablecoins Aren’t Dollar Alternatives — IMF Data Shows They’re Treasury-Wrapped Dollars

ccn.comPubblicato 2026-02-15Pubblicato ultima volta 2026-02-15

Introduzione

The IMF's analysis reveals that stablecoins, particularly dollar-pegged ones like USDT and USDC, are not independent alternatives to traditional finance but are increasingly backed by short-term U.S. Treasury bills and repo agreements. This makes them a "private distribution layer for dollars" rather than a replacement. The market is highly concentrated, with USDT and USDC comprising 90% of issuance. As stablecoin reserves scale in Treasuries, they begin to influence key financial systems, including money markets and Treasury yields. A BIS study notes that stablecoin flows can cause small but measurable moves in three-month Treasury bill yields. Regulatory attention is growing, with U.S. policies focusing on payment frameworks, while China bans yuan-linked stablecoins, and Europe expresses concerns about dollar dominance in this space. Ultimately, stablecoins are becoming integral to dollar distribution, raising issues around banking competition and financial stability.

Key Takeaways
  • The IMF said stablecoin usage is still driven mainly by crypto trading, even as payment use cases grow.
  • Reserve disclosures show issuers leaning into Treasury bills and Treasury repo, making stablecoins look increasingly money-market-adjacent.
  • A BIS paper links stablecoin flows to small but measurable moves in three-month Treasury bill yields, tying crypto demand to core dollar-market pricing.

Stablecoins are still marketed as crypto’s escape from traditional finance: borderless money, always on, independent of banks.

In a recent paper, the International Monetary Fund offered a cooler read.

“The stablecoin market is increasingly built on short-term U.S. government debt, turning the “stablecoin era” into a private distribution layer for dollars, not a replacement for them,” it wrote.

The IMF’s data also shows how concentrated that layer has become. Dollar-pegged stablecoins represent 97% of issuance, and USDT and USDC account for about 90% of the market, according to the paper.

That matters because once the biggest tokens warehouse Treasury bills and Treasury-collateralized repo at scale, stablecoins start touching the same systems policymakers care about: deposit competition, money markets, cross-border flows, and financial stability.

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“Crypto Dollars” That Look Like Money-Market Plumbing

The IMF documents a steady migration toward safer, more liquid backing assets, especially short-term U.S. Treasuries and repo structures collateralized by Treasuries.

Circle frames USDC in similar terms on its transparency disclosures, describing reserves held in cash, short-dated U.S. Treasuries, and overnight U.S. Treasury repurchase agreements, with portfolio reporting available through BlackRock.

Visa’s economic research puts numbers on the same pattern: by mid-2025, it highlighted USDC reserves heavily allocated to reverse repos and Treasury bills, with a smaller share in bank deposits.

Tether has leaned into the scale story as well. In a January 2026 update, Tether said it ended 2025 with record $141 billion exposure to U.S. Treasuries (direct and indirect) and $6.3 billion in excess reserves.

Stablecoins Are Now Big Enough To Nudge Treasury Pricing

Once stablecoin reserves sit in Treasury bills and Treasury repo, the next question is whether stablecoin demand can move those markets.

A BIS working paper using daily data from 2021–2025 finds that a two-standard-deviation inflow into stablecoins is associated with a 2–2.5 basis point drop in three-month Treasury yields within about 10 days, with limited spillover to longer maturities.

It also finds asymmetric effects: outflows raise yields by more than inflows lower them.

That does not mean stablecoins “set rates.” It does suggest they are no longer just a crypto convenience. They are becoming a marginal buyer of the safest collateral in dollar finance.

If stablecoins keep scaling, heavy demand for T-bills could steepen the curve by pulling down front-end yields, while stress-driven redemptions could push yields up faster in a selloff.

That scenario depends on adoption and market structure, but it is exactly the kind of plumbing effect regulators monitor.

Policy Is Converging on a “Payments Money” Frame

U.S. policy is converging on payments framing.

The GENIUS Act establishes a federal framework for “payment stablecoins,” defining issuer categories and oversight processes.

The core promise, stable value and liquidity, depends on rules around backing assets, disclosures, and supervision.

But the fight has shifted to incentives.

A White House meeting between banking and crypto groups ended without agreement, with banks pushing to restrict interest-like rewards tied to stablecoins, because “yield” is where stablecoins start competing directly with deposits.

Standard Chartered has put a headline number on the threat: it warned U.S. banks could lose up to five hundred billion dollars in deposits by 2028 if stablecoins accelerate as a mainstream cash alternative.

China Draws a Red Line on Yuan Stablecoins

China is drawing a hard sovereignty line.

In a Feb. 6 joint notice, the People’s Bank of China and other agencies reiterated that crypto-related business is illegal in China and barred unauthorized issuance of offshore stablecoins pegged to the renminbi (yuan).

The move frames stablecoins as a monetary-control issue, not just a payments product.

Europe Is Watching The Dollar Rails Harden

Europe’s central bank has been unusually direct : dollar stablecoins are “reshaping global finance,” and without a response, European monetary sovereignty and financial stability could erode. The ECB also notes that the market is overwhelmingly dollar-based (it cites about 99%), while euro stablecoins remain marginal.

In other words: if stablecoins are becoming default “internet cash,” Europe worries it will be internet cash in dollars.

Bottom Line

The IMF’s message is less about hype than taxonomy: stablecoins are increasingly Treasury-wrapped dollars on new rails, with benefits for speed and access, but with real consequences for banking competition, capital flows, and market plumbing.

The question now is not whether stablecoins “beat” the dollar. It’s who gets to operate, and regulate, the dollar’s next distribution network.

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DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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