Stablecoins, the GENIUS Act, and the Evolving Structure of Dollar Finance

Executive Summary

If stablecoins scale under the GENIUS Act’s reserve constraints, they will create sustained demand for short-dated Treasuries, modestly compress front-end yields, and import global dollar demand directly into the U.S. banking system.

Galaxy Research’s comprehensive model suggests a majority of stablecoin growth will originate offshore, meaning foreign capital will flow into U.S. banking infrastructure at a rate that materially exceeds any domestic deposit migration. The net effect, perhaps counterintuitively, will strengthen rather than destabilize the dollar system.

We expect hundreds of billions in U.S. domestic deposits to flow into stablecoin reserves, but trillions of foreign capital will enter the U.S. banking system from abroad. We see a structural increase in Treasury demand that could compress T-bill yields by 3-5 basis points, saving U.S. taxpayers upwards of $3 billion per year. We forecast U.S. credit creation will expand by 31 cents for each dollar of stablecoins minted. Countries with weak institutions are likely to be hurt the most by capital flight to GENIUS Act stablecoins.

To be clear: banks will feel pressure. Some low-cost deposits will migrate, funding costs at the margin will rise, and net interest margins will compress in rate-sensitive business lines. Yet the likely outcome is not systemic credit contraction but redistribution of credit creation. Stablecoins do not destroy credit capacity; they reallocate the spread on safe assets to different actors. Meanwhile, the U.S. Treasury will gain a structurally larger buyer base in the most rate-sensitive segment of the yield curve. And the dollar, already dominant, will become easier to hold, transfer, and save in, globally.

When holding U.S. credit becomes as simple as downloading an application, domestic deposits in vulnerable jurisdictions will get antsy.

These dynamics are likely to extend beyond U.S. borders. Countries with weaker monetary credibility, fragile banking systems, or binding capital controls will face intensified pressure. When holding U.S. credit becomes as simple as downloading an application, domestic deposits in vulnerable jurisdictions will get antsy. GENIUS may strengthen the dollar system not merely by improving it, but by rendering alternatives less competitive.

This paper argues that the effect of the GENIUS Act goes well beyond onshoring and regulating stablecoins. It concerns the evolving funding structure of the dollar economy: margin compression for banks, incremental flexibility for Treasury issuance, imported capital for the U.S. financial system, and increased competitive pressure on weaker sovereign regimes.

The United States likely gains. Some banks sacrifice spread. Certain foreign banking systems lose deposits. Consumers, domestic and global, gain more portable claims on U.S. credit.

Background

The GENIUS Act has inspired measured analysis and more heated commentary since its enactment on July 18, 2025. The administration has framed it as strategic policy: formalizing and onshoring dollar-denominated stablecoins, expanding global demand for the U.S. dollar, and creating a structurally larger buyer base for short-dated Treasury bills. In this interpretation, the Act addresses financial infrastructure rather than speculative technology—it concerns who issues digital dollars, what collateral backs them, and who ultimately finances U.S. government operations.

Opposition has been fragmented. Much of the incumbent banking industry has focused on a narrower but consequential question: whether GENIUS-compliant stablecoins should be permitted to pass through interest (or rewards) to holders. Banks contend that allowing interest-bearing stablecoins risks fueling direct competition with demand deposits, a long-standing source of low-cost, sticky funding that underpins traditional lending. From this perspective, the concern centers on funding stability: if deposits migrate to fully reserved, Treasury-backed vehicles that share yield in some form, banks could face structurally higher funding costs or deposit base erosion. (GENIUS forbids stablecoin issuers to share interest with holders directly but it allows arrangements in which exchanges pay rewards for holding stables on their platforms. In ongoing negotiations over the pending Clarity Act, banks have been lobbying to ban such incentives.)

The digital asset industry argues that the deposit flight analogy is overstated. Interest-bearing stablecoins, they suggest, resemble government money market funds: cash-like instruments invested in short-dated public debt, offering market yield with limited intermediation. Money market funds have coexisted with banking for decades. They have occasionally broken the buck, precisely the risk GENIUS attempts to contain through reserve requirements and supervision, but they have not displaced community banking. In the view of the crypto constituency, prohibiting interest pass-through protects a funding subsidy rather than safeguarding systemic stability.

This paper does not exhaustively detail legislative minutiae; others, including Galaxy Research, have provided thorough institutional analysis. Instead, we outline the Act's key structural provisions as context, then focus on what matters to markets: balance sheets, flows, and incentives. The core question is not whether stablecoins are beneficial or harmful in abstract terms, but how they reallocate assets and liabilities in the broader financial system.

We concentrate on the likely financial and macroeconomic effects in the United States while considering global distributional consequences. The analysis addresses how stablecoin growth under GENIUS will affect short-dated Treasury demand and market pricing; where the funding for that growth will originate; whether it represents new capital or deposit substitution; and what second-order effects are likely to emerge for bank funding costs, credit creation, and financial intermediation structure. Understanding these dynamics requires integrating reserve requirements, stablecoin growth projections, deposit substitution modeling, and international capital flows, components we develop systematically below.

Treasury Market Impact: Scale and Mechanism

To assess how GENIUS reshapes Treasury markets, we begin with the mechanical relationship between stablecoin growth and government debt demand. The Act requires reserve assets to meet strict criteria: high credit quality, high liquidity, and short duration. In practice, it should channel reserves overwhelmingly toward short-dated U.S. Treasuries. Tether, the dominant offshore stablecoin issuer, already reports over $120 billion in Treasury bills, making it among the largest holders of front-end government debt, and a holder of more Treasuries than 90% of the nations on Earth. GENIUS formalizes and onshores this pattern, embedding Treasury demand into an asset class that has historically experimented with alternative portfolio compositions—including exposure to commercial paper, gold, and other non-government instruments.

The implication: stablecoin growth becomes Treasury demand growth more reliably than in the past. Every additional dollar of stablecoin issuance requires, in equilibrium, approximately one dollar of bills purchased and continuously rolled until that dollar is redeemed. Estimating the magnitude requires three inputs: a projection of future stablecoin supply over a two-to-five-year horizon; an understanding of how stablecoin flows have historically affected the Treasury markets; and a framework for translating gross issuance into net incremental demand given varying reserve compositions.

Stablecoin growth becomes Treasury demand growth more reliably than in the past.

Stablecoin Growth Projections

Current stablecoin market capitalization sits in the low hundreds of billions, but most institutional forecasts now assume that GENIUS creates the conditions for materially faster expansion. Analysts at Citi, Standard Chartered, Coinbase, and J.P. Morgan all point to substantial growth over the next several years, but they arrive there through meaningfully different analytical frameworks. Some emphasize transaction growth, some stress substitution across competing dollar instruments, and some rely more heavily on statistical extrapolation from recent adoption rates. That difference in methodology matters, because it shapes not only the headline market-size estimate, but also the implied consequences for banks, Treasury demand, and dollar intermediation.

Citi's framework in its “Stablecoins 2030” paper models stablecoin growth via substitution across specific balance categories: transaction deposits, savings products, money market funds, physical currency, and offshore dollar holdings. This approach transforms market-sizing into a funding-source map, asking not simply how large stablecoins may become but which forms of dollar exposure they are likely to replace. The first version of the paper, posted in April, modeled wide ranges of $422 billion to $2.3 trillion of stablecoin supply in 2028 and $500 billion to $3.7 trillion by 2030. Citi revised its model in September, increasing its estimate of stablecoin market growth even if the GENIUS Act had not passed, and reducing market substitution effects. The revised model forecasts a baseline stablecoin supply of $1.2 trillion in 2028 and $1.9 trillion in 2030.

Not all stablecoin growth is economically equivalent—a dollar migrating from physical currency carries different implications than one leaving a commercial bank

The importance in the Citi model lies in structure: by distinguishing between domestic deposit substitution, migration from money-market-like products, and incremental offshore adoption, Citi provides a bridge between growth forecasts and downstream analysis of bank funding and credit effects. This will become important later in the paper, because not all stablecoin growth is economically equivalent—a dollar migrating from physical currency carries different implications than one leaving a commercial bank demand deposit. Citi’s framework is the most useful tool for capturing that distinction.

Standard Chartered’s “Stablecoins, USD Hegemony and UST Bills” provides perhaps the most expansive forecast, including the oft-quoted $2 trillion figure used in U.S. Treasury commentary. The U.K. bank’s argument begins with observed momentum: stablecoin supply had already been growing at roughly 50% annually before GENIUS. After enactment, Standard Chartered expects annual growth to accelerate to roughly 100%, in lockstep with the continued expansion in crypto exchange-related transaction activity. In this scenario, aggregate monthly stablecoin transaction volume rises from around $700 billion to approximately $6 trillion by the end of 2028, lifting stablecoins' share of foreign exchange (FX) spot activity from about 1% to roughly 10%. The key assumption in Standard Chartered’s model is that transaction volume requires stablecoin supply to scale linearly with volume to support it, and that the velocity of stablecoins will remain broadly unchanged (an assumption the team has since softened on). Combined, those assumptions mean that the modeled transaction growth would require outstanding stablecoin supply to rise from roughly $230 billion to around $2 trillion to support it, implying approximately $1.6 trillion in marginal stablecoin issuance through 2030. The U.K. bank’s researchers do not outline any bear or bull scenarios outside of their core projection. Standard Chartered's model is therefore less about substitution across financial categories than about a transaction-led scale thesis.

Coinbase’s “New framework for stablecoin growth” uses a stochastic framework, extrapolating from past growth, while placing heavier weight on the post-2024 growth regime under a crypto-friendly president. It treats the present environment as a structural break where regulation, institutional legitimacy, and product integration have fundamentally changed the adoption dynamic. This leads to a base case stablecoin supply of roughly $1.2 trillion by 2028, with a bear-bull range of about $975 billion to $1.4 trillion. Coinbase has the most optimistic bear case adoption scenario, with stablecoins growing at a compounded annual rate of more than 100% through 2028. Coinbase does not model growth beyond 2028, but extrapolating from its projections, we estimate the crypto exchange’s model would put stablecoin supply at $1.4 trillion to $2.2 trillion by 2030.

J.P. Morgan’s model is the most restrained and simplistic of all the major bank forecasts, the conservative counterweight in the set. It assumes steady monthly expansion of the stablecoin market by roughly 2% to 3%, forecasting a stablecoin supply range of $500 billion to $750 billion by 2028, and if we extrapolate to 2030, a range of $630 billion to $1.05 trillion.

Lastly, BPI (the Bank Policy Institute, that is, not the Bitcoin Policy Institute) uses an exceptionally bullish (from crypto’s perspective, not the trade group’s) $4 trillion to $6 trillion “demand” figure to frame the possible impact of yield-bearing stablecoins under GENIUS. Based on an April 2025 Treasury report, BPI’s forecast adopts a sweeping view of the addressable market, effectively assuming that all non-interest-bearing demand deposits could be exposed to stablecoin substitution. That produces a headline figure of roughly $6.6 trillion in deposits at risk—more than 50% larger than even the most optimistic crypto industry total forecasts, and equivalent to ~1/3 of all U.S. bank deposits.

The more severe projections in BPI’s analysis are then derived using the Baumol-Tobin model, a simplified framework in which consumers optimize between transaction balances and interest-bearing savings. Applied mechanically, that setup can produce much larger outflow estimates — up to roughly $4 trillion if stablecoins are permitted to pass through interest to token holders. Those figures are directionally useful as a stress exercise, but they should be treated cautiously. The Baumol-Tobin framework is highly assumption-dependent, and its empirical support is mixed when used as a literal forecasting tool rather than as an illustrative model of money demand.

Using Baumol–Tobin as a quantitative forecasting tool for stablecoins is tenuous, because several core assumptions of the model are unlikely to hold. Stablecoins are not used solely as a transaction medium; they also serve as trading collateral, a cross-border store of value, and a savings vehicle. Transaction costs are neither fixed nor stable, but instead vary with network fees, congestion, and market structure. Likewise, the yield on a stablecoin is not a clean, risk-free rate on money in the traditional sense, but a return subject to interest-rate and liquidity risk.

BPI's paper describes a deliberately severe, maximum-pain scenario meant to underscore the upper bound of potential stress on the banking system.

Contemporary micro/structural evidence from top economics journals supports the logic behind the model, but indicates that effective interest elasticities can be materially below the Baumol–Tobin (0.5) benchmark once withdrawal/payment technology, extensive-margin adoption, and precautionary/stochastic motives are modeled. As BPI itself notes, stochastic cash-management models like Miller–Orr imply lower interest sensitivity than Baumol–Tobin. Properly understood, however, this is not a plausible base case; it is a deliberately severe, maximum-pain scenario meant to underscore the upper bound of potential stress on the banking system.

As such, the BPI’s premise is too expansive to bear much weight as a realistic forecast. It is not credible to assume that all stablecoin growth will come exclusively from U.S. bank deposits, or that every non-interest-bearing demand deposit will migrate into yield-bearing digital dollars. Such a view overlooks other domestic sources of funding and, even more importantly, the large pool of international demand that has historically driven stablecoin adoption. In fairness, Treasury does not present the full $6.6 trillion figure as its expected outcome. Its working market-size assumption is instead Standard Chartered’s $2 trillion projection for 2028, with the larger number serving only as an illustrative scenario.

Taken together, these frameworks offer a range of plausible outcomes rather than a single definitive answer. Even the lower-end forecasts imply continued expansion at an already extraordinary pace, with annual supply growth around 40%, while the most aggressive models contemplate acceleration to well above 100% per year. The resulting estimates for 2028 stablecoin supply span roughly $420 billion to $970 billion in a bear case, $625 billion to $1.2 trillion in a base case, and $750 billion to $2.5 trillion in a bull case.

By 2030, that dispersion becomes still more pronounced. Bear-case projections range from roughly $500 billion to $1.4 trillion, base-case estimates from $830 billion to $3.1 trillion, and bull-case outcomes from approximately $1 trillion to $4 trillion. For purposes of illustration in the remainder of this paper, we adopt a stablecoin supply assumption of $1 trillion in 2028 and $1.5 trillion in 2030. Those figures sit in the conservative end of the base-case range and therefore provide a reasonable foundation for the analysis that follows.

Regardless of your choice of model, the common denominator is that GENIUS is treated as a meaningful accelerant—whether by reducing regulatory uncertainty, widening institutional participation, improving payments utility, or making stablecoins more credible as a global dollar product. But methodology matters: a market that reaches $1 trillion through offshore adoption and transactional scaling has vastly different implications from one that reaches the same size by displacing domestic bank deposits. This is why the analytical structure behind the forecasts is at least as important as the headline numbers.

Reserve Composition Under GENIUS

How much incremental Treasury bill demand can we expect from those topline supply estimates? While some fraction of the answer is up to the discretion of the stablecoin issuers in choosing their reserves, the reserve composition requirements under GENIUS will structurally restrict it to a few asset classes.

Today, reserve composition varies considerably across stablecoin issuers. Circle’s USDC holds the large majority of its reserves, roughly 97%+, in Treasuries and cash equivalents, while Tether’s USDT has historically maintained a looser mix—with large exposures at various times to bitcoin, gold, secured loans, and commercial paper. Tether in its earlier years was highly skewed toward riskier investments, with only ~25% of its portfolio in T-bills in 2021, but has now matured, with T-bills and cash equivalents making up nearly 75% of the portfolio.

The GENIUS Act is designed to narrow that reserve dispersion sharply by replacing issuer discretion with a statutory reserve taxonomy. Section 4 of the Act requires permitted payment stablecoin issuers (PPSIs) to maintain identifiable reserves on at least a one-to-one basis, limited to a tightly defined set: U.S. currency; funds held at a Federal Reserve Bank; demand deposits at insured depository institutions; Treasury bills or notes with remaining maturity of 93 days or less; overnight Treasury-backed repo and reverse repo positions; government money market funds invested solely in those instruments; and approved tokenized equivalents.

In practical portfolio terms, this means new issuance under GENIUS will look more like Circle's reserve composition than Tether's historical mix. Even where reserves are not held as outright bills, the statute channels issuers into economically adjacent instruments: overnight Treasury repo, Treasury-collateralized reverse repo, or government money market funds that themselves hold the same narrow class of safe assets. Accounting for both direct Treasury holdings and Treasury exposure embedded in permitted repo structures and government money funds, a working assumption that 85% to 95% of incremental reserves end up in short-dated government paper is well aligned with the architecture of the law and the current standard for U.S.-based stablecoins (Circle’s USDC, World Liberty’s USD1).

Applied to the growth projections above, the implication is substantial Treasury demand across nearly every scenario in the forecast range. Even the weakest bear case would generate roughly $162 billion of incremental demand for short-dated government paper, while the most aggressive bull case would imply demand approaching $3.5 trillion. Our illustrative stablecoin supply of $1 trillion by 2028 and $1.5 trillion by 2030 implies roughly $600 billion of additional structural demand for Treasury bills through 2028, and $1.2 trillion through 2030.

The market is not dealing with episodic reallocations but with structurally embedded reserve demand. As long as stablecoins remain outstanding, the corresponding stock of safe assets must be held, rolled, and replenished. The next question, then, is one of scale: how large is this expected bid relative to the current size of the bill market, and how easily can Treasury supply expand to accommodate it?

The Eligible Market

Approximately $6.8 trillion in Treasury bills are currently outstanding, of which roughly $4.8 trillion matures within 93 days—the tenor bucket relevant for GENIUS collateral eligibility. This defines the practical investable universe. Regardless of your choice of supply model, stablecoin issuers will become among the largest concentrated holders of sub-93-day government paper, trailing money market funds (approximately $2.6 trillion in short-dated holdings) but likely surpassing every foreign official and private institutional allocation in this maturity range.

Beyond bills, a material stock of coupon Treasuries (notes and bonds) rolls into the ≤93-day maturity window monthly. The supply of those eligible securities can be computed directly from the Treasury's Monthly Statement of the Public Debt (MSPD). There is roughly $600b-$700b outstanding at any given time. The effective treasury supply available to stablecoin issuers includes both existing bill issuance and this near-maturity coupon inventory, but the documented liquidity premia between on-the-run and off-the-run Treasuries means that stablecoin issuers will likely eschew the short-dated coupon Treasuries. With or without the coupon Treasuries, stablecoins will absorb a measurable share of the shortest-duration government paper.

A natural question is whether the market can absorb demand of this magnitude without significant distortion. The answer is likely yes, but not passively. The front end of the Treasury curve has, at times, traded through extremely rich levels, and short-dated bill yields have occasionally dipped below zero when demand for the safest and most liquid collateral overwhelmed available supply. If GENIUS-compliant stablecoins generate a large, price-insensitive reserve bid, the same dynamic could emerge again at the margin: not because Treasury markets stop functioning, but because the marginal buyer at the front end becomes less sensitive to yield and more constrained by regulation and product design. Said plainly, stablecoin issuers might sometimes have to pay the Treasury, rather than vice versa, for the privilege of parking their money.

In practice, however, Treasury is unlikely to leave such demand unmet. If a structurally embedded bid develops in bills and other very short-dated government paper, the Treasury would have a strong incentive to issue more into that demand, particularly if doing so lowers funding costs and improves flexibility in refinancing maturing obligations. That matters because the government has clear reasons to prefer at least some additional financing at the short end of the curve rather than concentrating adjustment in longer-duration issuance. Bills are cheaper, easier to scale quickly, and better suited to periods in which demand is deepest at the front end. To the extent stablecoin reserve growth creates a persistent buyer base for those maturities, it could make bill-heavy financing more attractive than it otherwise would be. This reinforces Treasury's stated preference — as outlined in its quarterly refunding statements — to meet expanded financing needs through short-term bill issuance rather than locking in longer-term borrowing costs.

Importantly, this scenario aligns with the broader direction of Treasury financing strategy. Treasury has already indicated a willingness to increase funding through bill issuance in an effort to avoid driving up the cost of mortgages via increased bond issuance. This stance suggests that supply would expand to meet incremental demand rather than letting stablecoin collateral needs bid up Treasury prices and compress yields. That makes the most likely outcome not a chronic shortage of bills, but a larger front-end market supported by increased issuance and a structural buyer base. The key implication, then, is not that stablecoins will break the bill market. It is that they may help reshape it, making the short end of the curve a more central channel through which digital-dollar growth feeds directly into sovereign funding.

Yield Impact

The expected flow from GENIUS-compliant stablecoin issuers is material relative to the addressable market. How much of an impact can we expect this incremental demand to have on Treasury yields? The Bank for International Settlements and Coinbase have examined historical episodes of large stablecoin supply changes and their impact on the short end of the Treasury curve. Their methodologies are broadly similar: isolating high-standard-deviation changes in stablecoin supply, regressing those changes against contemporaneous movements in short-dated Treasury yields, and controlling for broader rate volatility, liquidity conditions, and crypto market specific shocks.

From these exercises, researchers at both organizations estimate short-horizon elasticities of T-bill yields—roughly 10-day and 30-day yield responses to stablecoin supply shocks. Magnitudes are modest in basis point terms but measurable. Historically, a 2 standard deviation weekly inflow of stablecoins (~$3.1 billion) results in a 2.5-3.5 basis point tightening in 3-month T-bill yields, and 5-8 basis point tightening in times of relative T-bill scarcity. A modeling distinction merits attention: the BIS framework implies more persistent effects from sustained flows, while Coinbase introduces an autoregressive component suggesting Treasury markets mean-revert as prices clear and technical factors adjust. Which assumption dominates depends on whether stablecoin demand is episodic or structural. Under GENIUS, structural demand appears more plausible, so we will be working with that assumption going forward.

An important modeling distinction is that future stablecoin growth under GENIUS should not be mapped to Treasury demand using historical reserve composition alone. The Act is likely to increase the share of reserves held in Treasuries and closely related government instruments relative to the composition observed in earlier stablecoin cycles. To account for that shift, we adjust the model to reflect the higher expected Treasury weighting of GENIUS-compliant reserves. Specifically, we apply an approximately 1.2x multiplier to the amount of Treasury purchases implied by new stablecoin issuance, representing the marginal increase in Treasury collateral backing relative to historical reserve mixes.

Using our conservative supply assumptions — $1 trillion by 2028 and $1.5 trillion by 2030 — the implied effect is modest but measurable: approximately 3.0 to 4.4 basis points of compression in 30-day bill yields through 2030, approaching 10 basis points in times of tight secondary supply. In more bullish scenarios, particularly under the BPI-style deposit substitution framework, the effect rises to roughly 14 to 20 basis points.

The front end of the curve remains anchored by Federal Reserve policy rates, but spreads — bills to the overnight index swap (OIS) rate, bills to general collateral (GC) repos — and relative richness across nearby maturities are shaped by flows, collateral scarcity, and dealer balance-sheet constraints. A structurally price-insensitive buyer that must hold bills, and cannot reach for yield in private credit or longer-duration assets, should place persistent downward pressure on term premia at the very short end and sustain stronger demand for the most pristine collateral in the system. Moreover, these historical sensitivity estimates may understate the effect going forward. To the extent stablecoins grow more rapidly than the stock of Treasury instruments eligible for reserve backing, a given shock to stablecoin supply would represent a larger proportional demand impulse relative to the investable market than it did in the past. We do not attempt to quantify that second-order effect here, but directionally it suggests that the measured elasticities in the literature may be conservative.

At the same time, there is an important countervailing force: Treasury is unlikely to passively allow persistent scarcity to develop if reserve demand becomes structurally embedded. If bill demand strengthens meaningfully, the government has the ability and the incentive to expand issuance at the front end, particularly if doing so lowers marginal funding costs and supports refinancing flexibility. For that reason, the most plausible outcome is not a permanently starved bill market, but a dynamic adjustment in which stronger stablecoin demand pushes front-end valuations richer while front-end Treasury issuance expands to absorb part of that pressure. The practical implication is that these yield effects should be viewed as directional and conditional. They likely capture the existence of a real compression force, but they may either understate its gross impact in a scarcity regime or overstate its lasting net impact if Treasury responds aggressively by increasing supply.

This represents a modest but non-trivial change. For context, five basis points on the Treasury’s $6 trillion T-bill portfolio equates to $3 billion annually in reduced borrowing costs. At scale, GENIUS creates a durable, low-elasticity bid in precisely the market segment where the U.S. government rolls over debt most frequently, helping Washington borrow funds a little more cheaply.

Funding Sources and Deposit Dynamics

Stablecoin growth tells only half the story: it shows how Treasury demand shifts as issuers reallocate reserves into bills under GENIUS constraints. More economically important, and contentious, is the supply side.

Every dollar that buys a bill through a GENIUS‑compliant issuer must come from somewhere else on the financial system’s balance sheet, displacing its prior use, whether in bank deposits, money funds, or loans to the real economy. The critical distinction is whether that dollar represents new capital entering the U.S. banking system—offshore savings, physical cash, foreign exchange—or substitution out of sources like bank deposits and money market funds.

If these flows bring new deposits into the U.S. banking system rather than merely reallocating existing ones, the impact of stablecoin issuance is largely additive. The banking system receives a dollar; the stablecoin issuer then reallocates it from a deposit into Treasury bills. Stablecoins function as a conduit channeling new or previously external dollars first into the U.S. financial system, then into government financing. The banking system's aggregate deposit base grows even as a portion migrates into stablecoin-linked reserves.

The dynamic differs materially if stablecoin growth is funded primarily by substitution from existing bank deposits. In that case, the U.S. banking system is not gaining dollars; it is effectively swapping a one-dollar demand deposit liability at Bank A (the stablecoin buyer’s account) for a one-dollar deposit liability at Bank B (the Treasury seller’s account, assuming it is domestic), while the corresponding asset shifts from private credit creation toward holdings of Treasury securities associated with stablecoin reserves.

Deposit flight will likely be heterogeneous across banks, and hard to precisely predict, but the secondary effects on those banks experiencing it are not. Banks losing low-cost deposits must either shrink assets, replace those deposits with more expensive wholesale funding, or compete more aggressively on deposit rates.

Each path carries consequences for credit creation. Shrinking assets implies reduced lending. Replacing deposits with wholesale funding narrows net interest margins and potentially creates more fragile liability structures. Competing on rates raises funding costs, which are passed through to borrowers and compress profitability.

Modelling this redistribution and its effect on credit creation will require delving deeper into some of the details of the substitution framework used by Citi, and the foreign/domestic sources estimates from Standard Chartered.

Substitution Modeling Framework

To answer the question of how much U.S. bank deposit flight we can expect, we must move beyond top-line supply forecasts and examine the sources of demand for stablecoins.

Citi's "Stablecoins 2030" framework is instructive. Rather than treating stablecoin growth as exogenous, it models substitution—investors' and households' tendency to reallocate among similar products based on relative returns, convenience, and regulatory treatment.

GENIUS-compliant stablecoins are economically proximate to several broad asset classes: transaction deposits such as checking accounts; savings accounts; government money market funds (particularly if interest pass-through is permitted); physical currency; and—at the margin—foreign currency held by investors who want dollar exposure. Not all substitution matters equally for bank funding. A shift from physical currency is largely irrelevant; banknotes do not fund bank lending. A shift from non-interest-bearing demand deposits is highly relevant. A shift from government money market funds represents reshuffling within the Treasury buyer base without affecting bank deposit funding. A shift from transaction accounts at commercial banks directly increases their funding costs.

Stablecoin creation could, in the best case, attract trillions of dollars of liquidity to the U.S. banking system, and in all but the worst cases would merely rearrange U.S. credit creation rather than extinguish it. While we are using the broad substitution and market capture estimates from Citi to inform our model, the sub-categories are largely irrelevant beyond two sources: U.S. bank deposits, and everything else. Under our baseline model, ~70% of new stablecoin reserves would have to come from U.S. domestic deposits for credit contraction to occur. Under more adverse assumptions with reduced bank recycling of stablecoin reserves and higher wholesale deposit funding costs, the inflection point of credit reduction occurs when >45% of all new stablecoins come from U.S. bank deposits. The economic question is whether more cash will leave low-cost deposit funding for stablecoins than new cash enters the system. That answer will determine the net effect on credit conditions in the U.S.

Geographic and Compositional Distribution

The geographic composition of stablecoin funding is the key determinant of whether GENIUS will ultimately be a boon for the U.S. economy as a whole, or merely a reshuffling of the nation’s lenders. Citi’s substitution framework is useful here because it estimates which asset pools are most likely to be converted into stablecoins. In Citi’s base formulation, roughly one-third of incremental stablecoin growth comes from U.S. bank deposits, while the remainder is drawn from other sources, including physical currency (12%), money market funds (10%), and — critically — foreign capital (33%).

That distinction matters because not all stablecoin growth has the same balance-sheet effect. If issuers are permitted to pass through most of the underlying yield, Citi’s framework allows for a more pronounced shift out of deposits and money market funds, drawing on historical analogies to the market capture achieved by prime and government money funds. In that scenario, stablecoins become more competitive not only as a payments instrument, but also as a savings vehicle that combines transactional utility with market-linked returns.

Standard Chartered extends the analysis by making the international component explicit. Its framework assumes that approximately 70% of stablecoin demand is offshore, an estimate that comports with Citi’s emphasis on foreign versus domestic sources of growth. On that reading, each dollar migrating out of a U.S. bank deposit may be offset — and potentially more than offset — by multiple dollars coming from abroad, whether through remittance demand, capital flight from less stable jurisdictions, cross-border treasury management, or dollar savings in economies with limited banking access.

The distinction is decisive for credit modeling. If stablecoin growth is predominantly domestic substitution, deposits will shift from traditional commercial banks to stablecoin issuers' reserve accounts without expanding aggregate bank liabilities. If growth is predominantly foreign inflow, new dollars are effectively imported into the U.S. banking system before being reallocated to Treasuries. The former scenario implies margin pressure and potential credit contraction; the latter implies margin redistribution from smaller U.S. banks to global, systemically important banks (GSIBs).

Regulatory Treatment and Credit Dynamics

Research by Federal Reserve economist Jessie Jiaxu Wang provides a useful framework for thinking about how stablecoin growth affects deposits, credit creation, and financial intermediation more broadly. Rather than treating stablecoins as a simple substitute for bank deposits, the framework decomposes the credit effect into several distinct inputs: the gross migration out of bank deposits; the lending capacity associated with those deposits; the share of stablecoin reserves recycled back into the banking system; changes in banks’ aggregate funding costs as deposit composition shifts; and any exogenous capital entering the system from abroad or other non-bank sources. That structure is especially useful here because it forces the analysis away from headline market size and toward the specific channels through which stablecoins alter bank balance sheets.

The first input is the gross migration out of bank deposits. This is the most visible channel, but not necessarily the most important on its own, because what matters is not only how many deposits leave, but which types of deposits leave. Not all deposits are economically equivalent. Retail deposits are typically cheaper and stickier than wholesale deposits (which include stablecoin reserves), enable greater balance sheet leverage under liquidity coverage ratio (LCR) requirements, and benefit from more favorable treatment under the Net Stable Funding Ratio (NSFR), which imposes higher stable funding requirements on wholesale versus retail deposits. Wang emphasizes that even when total deposits do not fall dramatically, changes in deposit composition can still reduce the system’s effective lending capacity.

The second input is the deposit multiplier, or more precisely, the degree to which a change in deposits translates into a change in credit provision. This is not a textbook money-multiplier exercise, but an empirical relationship based on how banks respond to funding shocks in practice. Wang cites Kundu, Park, and Vats (2025), who estimate that a $1 decline in deposits is associated with a $1.26 reduction in lending. That relationship allows the model to estimate the credit effect associated with a given outflow from bank deposits. We use the 1.26 figure from the research as our baseline deposit multiplier, with a minimum value of 1 (which assumes banks create credit with deposits), and a high of 1.5 for our respective stress range. The deposit multiplier is a key model input, because it determines not only the relative amount of credit reduction from U.S. bank deposit substitution, but also the amount of credit provision from dollars entering the banking system from elsewhere. The net effect of those changes is what will really determine the net credit effect of the GENIUS Act.

The third input is reserve recycling. Dollars that move into stablecoins do not necessarily disappear from the financial system; a substantial share remains in bank deposits, custody balances, brokered Treasury accounts, repo arrangements, or government money funds. For that reason, the relevant question is not gross deposit substitution, but net substitution after accounting for the share of reserves that continues to circulate through bank- and market-intermediated channels. Wang’s framework highlights the importance of this parameter, though it does not itself fix a single recycling estimate.

The fourth input is the change in aggregate funding costs. Even if stablecoin reserves remain somewhere within the banking system, they are not equivalent to traditional consumer deposits. Stablecoin-linked deposits are concentrated in fewer institutions, potentially more rate-sensitive, and more susceptible to rapid outflows under stress. Because of that, banks funding against them may need to hold more liquid assets and run shorter-duration balance sheets, reducing maturity transformation and compressing net interest margins. In other words, the issue is not only whether funding remains in the system, but whether it remains in a form that supports credit creation as efficiently as before.

Taken together, these channels imply a meaningful but highly assumption-sensitive credit effect. Wang’s framework suggests that for each $100 billion of net deposit drain not recycled back to banks, bank lending could contract by roughly $60 billion to $126 billion. That range is best understood as an upper-bound estimate under a domestic substitution scenario: it is useful for bounding credit-contraction risk, but it does not encapsulate the entirety of flows into and through the banking system.

A key modeling step, then, is to specify reserve recycling more explicitly. Wang’s note does not estimate that parameter directly, but GENIUS materially narrows the reserve asset menu to bank deposits, Treasury bills, short-dated government instruments, certain repo structures, and closely related safe assets, which strongly suggests that a large share of reserves should remain in the broader U.S. financial system. On that basis, along with our observations of Circle’s USDC reserves, we assume that approximately 75% to 85% of stablecoin reserves will be effectively recycled into bank- or market-intermediated channels.

Once reserve recycling is introduced, our model becomes much more sensitive to the source of funds. In a pure domestic-substitution scenario, the effect on credit remains negative, but much more muted than the upper-bound case: the outflow from traditional bank deposits is partly offset by the fact that much of the reserve base remains somewhere in the financial system and continues to support at least some intermediation. For every $100 billion shifted out of traditional bank deposits, our model implies a roughly $38 billion contraction in lending capacity, even after allowing for partial reserve recycling.

The result changes much more materially when foreign inflows are added. Under Standard Chartered’s framework, roughly two-thirds to 70% of incremental stablecoin demand comes from offshore sources, meaning that multiple dollars may enter the U.S. financial system from abroad for every dollar that leaves a domestic bank deposit. In that configuration, aggregate deposits can rise even as their composition becomes less favorable to bank profitability. Citi’s framework points in the same direction: even in higher-substitution scenarios, only about one-third of incremental growth comes from U.S. bank deposits, while the majority comes from foreign demand and other non-deposit sources.

Multiple dollars may enter the U.S. financial system from abroad for every dollar that leaves a domestic bank deposit.

That distinction is central to the conclusions of this paper. If one assumes, as the most aggressive bank-lobby scenarios do, that stablecoin growth is funded almost entirely by U.S. demand-deposit substitution, then the effect on credit is negative and can appear severe. But once GENIUS-style reserve recycling and the predominance of offshore demand are incorporated, the picture changes. Domestic deposits contract at the margin, and that does reduce credit provision, but new foreign inflows and reserve recycling more than offset the contractionary effect. The result is not outright shrinkage of the U.S. banking system, but growth and a reconfiguration of its funding base: less reliance on cheap retail deposits, more reliance on concentrated reserve balances, somewhat lower margins, and a larger role for imported dollar demand.

Using those estimates for foreign flows into the U.S. banking system, we come to a more comprehensive view of credit creation as the effect of the GENIUS Act. Domestic deposit composition change from retail to wholesale remains a drain on credit creation, reducing credit by $18 per $100 increase in stablecoins; the change in credit from physical banknotes entering the banking system, net of composition effects, increases credit by $14 per $100 increase in stablecoins; and, critically, dollars entering the U.S. banking system from abroad increase credit by $37 per $100 increase in stablecoins. Taken together, even in the most bearish scenarios including yield pass-through for stablecoin holders, the flows into GENIUS stablecoins will be net additive to the U.S. credit and banking complex, with our model forecasting each newly minted GENIUS stablecoin generating ~32 cents in credit in the U.S. Multiplying that by our modeled supply, we forecast that the GENIUS Act will expand U.S. credit provision by ~$400 billion dollars through 2030.

Balance Sheet, Leverage, and Integrated Model Results

Modern banking does not operate on a simple deposits-create-loans mechanism; loans create deposits, constrained by capital ratios and regulatory requirements. A dollar of stablecoin reserves held as a bank liability is not equivalent, from a leverage perspective, to a dollar of retail deposit funding for a loan portfolio. When deposit funding migrates from general retail accounts to concentrated stablecoin issuer reserves, banks’ asset compositions shift even if liability totals remain stable. Regional and community banks, whose revenue models depend heavily on net interest margin from deposit-funded lending, face greater sensitivity than diversified institutions earning fees from capital markets, advisory, and asset management activities.

Combining Standard Chartered's global distribution assumptions with Citi's granular U.S. substitution framework, we estimate that roughly 30% to 40% of incremental stablecoin funding under GENIUS will originate from U.S. bank deposits, with the remainder split between offshore inflows (40% to 30%) and non-deposit domestic sources such as physical currency and money market funds (20% to 30%). These ranges are inclusive of the interest-bearing stablecoin scenario. Under this distribution, imported deposits can exceed domestic deposit migration 2-to-1, implying that aggregate bank funding increases even as its composition and cost structure shift.

Once we account for the geographic distribution of funding sources, the regulatory treatment of concentrated versus retail deposits, and the transformation of deposit liabilities into reserve-backed assets, we can establish likely outcome ranges. Our integrated modeling suggests:

• In a bear scenario, GENIUS stablecoin supply reaches roughly $630 billion in 2028 and $860 billion by 2030, driven largely by moderate domestic uptake. About $400 billion migrates from U.S. commercial bank deposits, partially offset by $160 billion of offshore adoption and physical currency conversion. Treasury markets experience marginal downward pressure on three‑month bill yields of 1.5–2.2 basis points, widening to up to 5 basis points in periods of stress. Credit creation remains largely neutral as inflows replace rather than expand domestic liquidity. For every $100 billion of stablecoins issued, U.S. credit contracts by $3 billion, for a net contraction of $15 billion. A manageable redistribution of balance‑sheet composition rather than systemic tightening.

• In the base scenario, stablecoin supply expands to $1 trillion by 2028 and $1.5 trillion by 2030, with roughly $550 billion in domestic deposit migration, supported by $500 billion of offshore adoption and $200 billion of physical currency conversion. Persistent demand for Treasuries compresses three‑month bill yields by 3–5 basis points, and by up to 10 basis points in stress conditions, saving taxpayers as much as $3 billion annually. For every $100 billion of stablecoins issued, U.S. credit expands by $32 billion, for a net expansion of $400 billion, with foreign demand more than offsetting U.S. retail outflows.

• In the bull scenario, with yield distribution and aggressive international adoption, stablecoin supply rises to $2.1 trillion in 2028 and $3.3 trillion by 2030. Roughly $1.2 trillion migrates from domestic deposits, but the U.S. banking system still experiences $1.8 trillion in positive inflows, with $1.3 trillion in offshore capital entering U.S. markets. Treasury yields see serious compression, tightening by up 7–11 basis points and as much as 25 basis points in stress scenarios, materially lowering funding costs for the government and saving Uncle Sam over $5 billion annually. For every $100 billion of stablecoins issued, U.S. credit expands by $41 billion, for a net expansion of $1.2 trillion, reinforcing credit supply and deepening liquidity across the financial system.

Interest pass-through is not an existential threat to U.S. banking. Even under aggressive adoption assumptions, GENIUS primarily reallocates margin rather than eliminating capacity. Banks facing deposit competition retain pricing power, balance-sheet management tools, and diversified revenue streams. The system as a whole remains well-capitalized, liquid, and capable of supporting credit growth commensurate with economic demand.

Second-Order Effects and Distributional Consequences

The first-order effects—Treasury demand and deposit flows—cascade into broader structural implications for fiscal policy, financial stability, and competitive dynamics within and beyond the U.S. financial system.

Treasury Financing Flexibility

If stablecoin supply reaches $1 trillion to $2 trillion and GENIUS pushes reserves toward short-dated bills and adjacent high-quality liquid assets, a steady bid becomes embedded in the front end of the curve. This will not rewrite monetary policy, but it will matter at the margin—modestly compressing term premia, reducing Treasury issuance volatility in the most rate-sensitive segment, and expanding fiscal flexibility during periods of elevated refinancing needs.

Banking Margin Compression Without Systemic Disruption

The banking industry is where political rhetoric concentrates. Even with interest pass-through, the more probable outcome is not systemic disruption of U.S. finance, but margin compression. Some deposits will migrate, particularly those that are rate-sensitive and convenience-agnostic. Yet the most alarming forecasts tend to assume that all domestic demand deposits become vulnerable once stablecoins can pay interest. That assumption ignores switching costs; the value of integrated banking relationships; and the reality that many depositors prioritize ease of use, and dependable access to bundled bank services, over maximizing yield on transaction balances.

The deeper insight: stablecoins are not "killing banks" so much as banks are losing a quiet subsidy. Non-interest-bearing or low-rate deposits are inexpensive funding. They support free checking, payment infrastructure, and bundled services that feel costless because customers implicitly pay through foregone interest. When a substitute emerges, particularly one backed by government securities rather than bank credit risk, that edge erodes. Banks must compete, reprice services, or accept narrower margins.

Stablecoins are not "killing banks" so much as banks are losing a quiet subsidy.

Stability Enhancements Relative to Historical Near-Money Instruments

GENIUS also attempts to avoid replicating the stress dynamics of near-money instruments over the past three decades. Prime money market funds, which invest in corporate debt, grew into deposit substitutes, discovered during crises that "cash-like" exists on a spectrum, and repeatedly forced policymakers into support mechanisms to prevent runs from becoming systemic. The stablecoin law’s reserve requirements, regular attestation, and supervisory framework aim to prevent similar fragility. Full backing by short-dated Treasuries and cash equivalents means stablecoins are structurally closer to government money market funds than to prime funds or uninsured deposits at fractional reserve banks.

Do runs disappear? No. Stablecoins can still face redemption waves—particularly during broader market stress—and remain exposed to traditional T+ settlement frictions, repo market functioning, and the soundness of banks holding reserve deposits. But GENIUS reduces the most dangerous failure mode: a run driven by uncertainty about reserve adequacy or collateral quality. When holders know reserves are attestable and consist overwhelmingly of government securities, the instinct to panic diminishes materially.

When holders know reserves are attestable and consist overwhelmingly of government securities, the instinct to panic diminishes materially.

Domestic Winners and Losers

In the United States, distributional effects are less clear than aggregate ones. Even if net credit creation remains broadly flat, winners and losers will emerge. Banks most reliant on net interest margin—particularly regional and community institutions whose revenue concentrates in deposit-funded lending—face greater sensitivity to deposit migration. Global systemically important banks (GSIBs) and diversified financial institutions derive more revenue from capital markets, advisory, and asset management, insulating them from deposit competition. Standard Chartered has produced a follow-up piece of research, “Stablecoins – Assessing the risk to US bank deposits” identifying the publicly traded banks potentially the most under stress by isolating those banks whose NIM is the largest % of total revenue. While somewhat blunt, this methodology offers strong insight for those looking to position around GENIUS implementation.

History also complicates the intuition that large banks automatically prevail. Early on, most banks treated crypto industry customers as radioactive, so stablecoin relationships concentrated around regional institutions such as Silvergate and Silicon Valley Bank rather than money-center banks. GENIUS also preserves room for state-level issuance below certain thresholds, potentially enabling smaller institutions to participate, but the $10 billion dollar ceiling on state-level stablecoins will likely prevent a true take-off scenario there. The more likely structural effect is continued centralization: stablecoin issuance at scale benefits from network effects, expensive compliance infrastructure, and balance-sheet capacity. If foreign inflows dominate, those deposits will likely concentrate at the largest, most internationally connected institutions.

Policy Extensions

Can the law be improved at the margin? One plausible enhancement would be to add Federal Home Loan Bank debt to the acceptable collateral list for GENIUS Act stablecoins. Short duration FHLB debt funds advances to member banks. Those advances serve as liquidity backstops against high-quality collateral, most often mortgage-related assets, and they are most valuable precisely when liquidity is scarce. That makes them especially relevant for community and regional banks, which rely more heavily on deposit funding and are therefore more exposed to any deposit migration induced by stablecoin competition. Short duration FHLB debt is not currently eligible because they are not government-issued or guaranteed; they are merely issued by a government-sponsored enterprise (GSE).

FHLB borrowing also featured prominently — and not flatteringly — in the bank failures of 2023, particularly among crypto-adjacent institutions. In SVB’s case, part of the problem was that constrained capacity in the FHLB market limited the bank’s ability to obtain the funding it sought against otherwise eligible high-quality collateral. Permitting GENIUS stablecoin issuers limited access to FHLB markets could smooth the dynamics of deposit reshuffling without severely compromising reserve quality or creating moral hazard, provided such access is properly supervised. Properly designed, such a mechanism would not eliminate the competitive pressure stablecoins place on deposit-funded banks, but it could help support the institutions most exposed to deposit flight during the transition.

Another plausible refinement would be to explicitly permit Ginnie Mae securities, which are backed by federally insured mortgages, within the GENIUS Act collateral framework. Although Ginnie Maes are federally issued and carry the full faith and credit guarantee of the U.S. government, they are not explicitly named among the eligible reserve assets. Given their credit profile and policy relevance, their inclusion would align neatly with the Act’s core intent while allowing for modest yield diversification within a risk-contained structure. The open question is risk management: what proportion of reserves could reasonably be allocated to Ginnie Maes without compromising liquidity or daily redemption capacity? A small, capped share could strike a prudent balance between safety and portfolio breadth.

At the state level, smaller stablecoin regimes might reasonably experiment with the <$10 billion supply carve out for regulation, potentially allowing for higher concentrations of Ginnie Maes, or other less liquid securities – exposure under controlled conditions.

Global Implications

Beyond U.S. borders, the implications are consequential and decidedly negative.

Countries with weaker monetary credibility, fragile banking systems, or binding capital controls face heightened pressure. The International Monetary Fund (IMF) has warned for years that stablecoins can accelerate currency substitution, increase capital-flow volatility, and weaken monetary sovereignty, particularly in countries struggling with inflation, institutional weakness, or low confidence in the domestic policy framework. Standard Chartered's “Stablecoins – Implications for EM” analysis of emerging markets points in the same direction: in dollar-scarce jurisdictions, stablecoins can divert deposits from local banks into digital dollar holdings, weakening domestic credit creation and complicating monetary-policy transmission. What makes a country vulnerable is not any single variable, but the interaction of several weaknesses. The first is poor monetary credibility: when households and firms expect inflation, depreciation, or arbitrary policy shifts, they look for a store of value outside the domestic currency, and a dollar-backed stablecoin is often easier to access than a formal foreign-currency bank account. The second is banking-system fragility. Where local banks are undercapitalized, operationally inefficient, or perceived as risky custodians of savings, stablecoins offer not just an alternative currency but an alternative balance sheet. The third is the presence of capital controls or restrictions on foreign-currency access. In those systems, stablecoins become attractive precisely because they can circumvent the friction, delay, and discretion built into official channels, making capital more mobile than domestic authorities would prefer.

Additional vulnerabilities reinforce the same pattern. Countries with high remittance dependence, shallow domestic capital markets, limited access to global banking infrastructure, or large informal savings sectors are particularly exposed because stablecoins solve real frictions in payments and dollar access. So are economies with large current-account or fiscal imbalances, where deposit flight can feed directly into exchange-rate weakness and funding stress. Standard Chartered identifies emerging-market exposure in explicitly banking terms: if consumers and corporates can hold what is functionally a fully backed U.S. dollar claim outside local banks, then domestic institutions lose not only deposits, but also payments revenue, foreign exchange spreads, and part of their role in financial intermediation.

From a U.S. perspective, this dynamic reinforces dollar centrality. Easier access to dollar savings globally expands the effective constituency for U.S. monetary policy and deepens demand for dollar-denominated assets. From an emerging market perspective, it may complicate macroeconomic management, reduce seigniorage revenue, and accelerate deposit dollarization — a pattern that has often preceded broader financial stress when local banks lose stable funding and policymakers lose control over the marginal demand for domestic money.

The competitive pressure also extends beyond deposits. If access to U.S. credit and dollar savings becomes as simple as downloading an application, then financial systems in countries with weaker institutions, higher intermediation costs, or more severe information asymmetries face a persistent structural disadvantage. In that sense, GENIUS may strengthen the dollar system not only by improving its functionality, but by making rival monetary and banking systems less competitive at the margin. That broader logic aligns with the administration’s interest in preserving and extending the strategic benefits of dollar centrality and potentially getting to Fed Governor Stephen Miran’s stated goal of getting other countries to “pay their fair share” for the benefits provided by the U.S. dollar’s primacy as the global settlement asset.

Conclusion

GENIUS is less a cryptocurrency law than legislation addressing the evolving funding structure of the dollar economy. Its effects will cascade through Treasury markets, bank balance sheets, and international capital flows, ultimately reallocating who earns returns on dollar liquidity provision. The distributional consequences matter more than the aggregate ones: bank revenue shifts from deposit-funded lending toward fee-based services and capital markets activity; regional banks lose spread on low-cost deposits while GSIBs absorb incremental foreign flows; emerging economies face accelerated deposit dollarization while the U.S. Treasury gains structural demand in its most refinancing-intensive market segment.

For policymakers, GENIUS is an experiment in managed innovation. It attempts to formalize digital dollars under regulatory supervision, expand their utility, and capture the benefits of borderless, programmable money without replicating the fragility of unregulated near-money instruments. Whether it succeeds depends on execution: how effectively regulators supervise reserve adequacy, how smoothly stablecoin redemption mechanisms function under stress, and how foreign jurisdictions respond to intensified competitive pressure on their domestic financial systems.

For banks, the challenge is strategic adaptation. Deposit franchises remain valuable, but their profitability depends increasingly on integrated service offerings, credit access, and customer relationships rather than structural funding advantages. Institutions that compete on convenience alone face margin erosion. Those that leverage deposits to deepen customer relationships, extend credit, and provide holistic financial services retain defensible economics. The institutions that will struggle are not those facing competition, but those that fail to adapt in response to it.

For the dollar system, GENIUS represents incremental evolution rather than revolution. The dollar was already globally dominant; GENIUS makes it more accessible. Treasury bills were already the world's safest asset; GENIUS embeds structural demand for them. U.S. banks already intermediated international capital; GENIUS channels more of it through regulated digital rails, making the transfer of dollar value faster, cheaper, and more transparent than legacy correspondent banking infrastructure allows. Unlike the Federal Reserve’s FedNow payment system, which modernizes domestic dollar plumbing within existing institutional boundaries, GENIUS extends programmable dollar access globally with minimal restrictions, reaching users and markets that legacy banking has never efficiently served.

The net assessment: the U.S. financial system benefits despite costs. Domestic banks sacrifice margin but retain systemic centrality. Foreign banking systems face intensified competition and capital flight. Consumers—domestic and global—gain more efficient, portable claims on U.S. credit. Treasury financing becomes modestly cheaper and more stable. The dollar, backed by government credit and now programmable, becomes even more deeply embedded in global finance.

This is not a story about cryptocurrency displacing traditional finance. It is a story about the U.S. financial system evolving to absorb technological innovation while preserving its structural advantages. GENIUS does not disrupt the dollar economy; it modernizes its delivery mechanism, reallocates economic rents, and extends American financial infrastructure into territories previously unreachable by traditional banking.

The question is not whether stablecoins will reshape dollar finance, but who captures the value from that reshaping and who bears the adjustment costs.