The Scarcity Flywheel
When a local currency weakens, citizens buy dollars. When citizens buy dollars, the currency weakens further. Stablecoins compressed this flywheel from days to minutes.
By Anton Titov, Founder · Plexo Institute
The scarcity flywheel explains why stablecoin adoption spikes exactly when regulators most want to block it.
When a local currency weakens, citizens buy dollars. When citizens buy dollars, the currency weakens further. Stablecoins compressed this flywheel from days to minutes.
Reading Guide
Four moves that frame why stablecoin demand spikes exactly when regulators most want to block it.
The framework follows the same loop from currency pressure to USDT demand, from USDT demand to deposit leakage, and from deposit leakage back into economic tightening. The policy conclusion is not that stablecoins caused the loop. It is that they made an old loop faster and more visible.
Stage 1: a shock weakens local currency, whether through a fiscal event, political crisis, central bank policy error, or commodity move.
Stage 2: citizens seek dollar exposure; USDT demand rises above local supply; stablecoin prices can trade above the official FX rate in local markets.
Stage 3: bank deposits leak to USDT or foreign-currency accounts; the bank funding base weakens; lending tightens.
Stage 4: tighter lending slows economic activity, fiscal space shrinks, and the currency weakens further.
Stablecoins did not create the flywheel. Currency pressure cycles existed long before USDT. They compressed cycle time from days to minutes and made the spread visible in real time. The dynamic is older than the instrument; the speed is new.
Official FX rates in emerging markets often lag reality. Central banks maintain rates that no longer reflect market conditions through intervention, capital controls, or policy inertia.
The USDT premium is real-time price discovery of the true exchange rate. When the official rate says 400 naira per USD but USDT costs 450 naira per USDT, the market has priced the naira 12% weaker than official.
Businesses and citizens watching this signal respond rationally. They accelerate conversion before the official rate catches up. Blocking visibility does not slow the flywheel. The underlying demand stays, the signal moves to OTC channels, and central banks lose the data they need to respond.
Nigeria's banking restrictions pushed crypto activity toward P2P channels, and the Central Bank of Nigeria later issued VASP bank-account guidelines that restored a supervised banking path for licensed operators.
Turkey's 2021 payment ban restricted cryptoasset use for payments, but it did not remove demand for dollar exposure during currency stress.
India's 2018 RBI banking restriction was struck down by the Supreme Court in 2020 as disproportionate.
The pattern: bans remove visibility but do not address demand. The flywheel continues in less visible channels, and the central bank loses both data and policy tools. This is the worst possible outcome for monetary sovereignty.
Interventions that work address the cause, loss of confidence, rather than the symptom, stablecoin demand. Stablecoin policy cannot substitute for monetary policy.
The scarcity flywheel runs on accumulated USDT positions creating deposit substitution. Two policy designs neutralize this without prohibition.
Transit-only regimes, Stage 1, permit USDT as payment infrastructure but prohibit it as a held position. That eliminates the flywheel by design: no accumulated balances, no substitution channel.
Contained-holding regimes, Stage 2, use balance caps, no-yield rules, and custodial-only requirements. They slow the flywheel without eliminating utility.
Both approaches preserve regulatory visibility through licensed operators, Travel Rule data, and supervisor reporting while neutralizing the deposit-substitution channel. GENIUS prohibits permitted payment stablecoin issuers from paying yield, MiCA restricts interest on e-money tokens, and the Bank of England proposal addresses limits, backing, and systemic supervision for sterling stablecoins. The no-yield rule is not theatrical. It is targeted at Stage 3 of the flywheel.
The Loop
The scarcity flywheel is a self-reinforcing cycle in currencies under pressure.
The scarcity flywheel is a self-reinforcing cycle in emerging-market currencies under pressure. Each turn of the loop accelerates the next. Stablecoins did not create the flywheel. They amplified its speed. The physical-cash version took days to complete a cycle; the on-chain version completes one in minutes.
Stablecoin Demand Can Tighten The Original Scarcity
Currency pressure raises dollar-token demand, drains deposits, tightens credit, and feeds the next pressure wave.
- 01
Currency pressure
Households and firms seek dollar exposure as confidence weakens.
- 02
Token premium
USDT demand reveals scarce digital dollars and wider access spreads.
- 03
Deposit leakage
Local deposits move into dollar-token balances and offshore liquidity.
- 04
Credit tightens
Banks have less domestic funding, so credit conditions worsen.
The stablecoin rail compresses cycle time.
It does not create scarcity from nothing; it makes an existing pressure loop move faster and become more visible.
| Step | Mechanism |
|---|---|
| A fiscal event, political crisis, policy error, or commodity move weakens confidence. |
| Households and businesses look for the most accessible dollar instrument. |
| Local USDT demand rises above available supply. |
| USDT trades at a premium, making the hidden FX pressure visible. |
| The visible premium accelerates conversion before official rates catch up. |
| Local-currency deposits leak into stablecoin or foreign-currency positions. |
| Banks replace cheaper deposits with more expensive funding or shrink lending. |
| Lower credit availability feeds back into currency pressure. |
On-chain settlement makes currency-pressure signals visible far faster than cash-based dollarization cycles.
Argentina, Turkey, Nigeria, and Venezuela appear in current market and policy examples [1][2][7][8].
Stage 1: Initial Pressure
The flywheel starts with a shock that weakens confidence in the local currency.
The flywheel starts with any shock that weakens confidence in the local currency. It can be a fiscal event, a political crisis, a central bank policy error, or a commodity price move. The specific trigger varies by country. The behavioral response is consistent: citizens and businesses seek dollar exposure as a hedge.
Examples of initial pressure events:
- Argentina 2018 IMF program and later inflation pressure: Chainalysis reports high Latin American stablecoin usage and Argentina as a major regional market.
- Turkey 2021 monetary stress and payment restriction: Turkey banned cryptoasset use for payments while demand for alternative dollar exposure persisted during lira pressure.
- Nigeria 2023-2024 naira pressure: Chainalysis reported large Nigerian crypto activity, and the Central Bank of Nigeria later created supervised VASP bank-account rules.
- Ghana 2022 IMF/debt stress: IMF country surveillance records the macro stress that created local-currency pressure.
Different countries, different specific causes, but the behavioral pattern is identical: shock to currency, immediate demand for dollar exposure, and stablecoin as an accessible instrument.
Stage 2: Demand Spikes
Demand for USDT rises above supply in local informal markets, and the spread becomes the signal.
Once citizens start seeking dollar exposure, demand for USDT or other stablecoins rises above supply in the local informal market. Spreads widen. The USDT/local-currency rate diverges from the official FX rate. This creates a signal that amplifies the flywheel.
Stage 3: Bank Deposits Leak
As conversion accelerates, local-currency deposits shrink and the bank funding base weakens.
As conversion to USDT accelerates, bank deposits in the local currency shrink. Deposits either move directly to USDT balances held in exchange accounts or wallets, or move to foreign-currency accounts where permitted. The bank funding base weakens.
When deposits leak out of the banking system, banks face a choice:
- Raise deposit interest rates to retain savers.
- Replace deposits with wholesale funding through interbank markets or central bank facilities.
- Reduce lending to match the smaller balance sheet.
All three options have economic costs. Higher deposit rates squeeze bank margins. Wholesale funding is typically more expensive than retail deposits. Reduced lending tightens credit for businesses and households.
This is why GENIUS prohibits payment stablecoin issuers from paying yield, MiCA restricts interest on e-money tokens, and the Bank of England proposal gives supervisors tools to manage systemic stablecoin risks: not because payment stablecoins are inherently dangerous, but because yield-bearing stablecoin balances can accelerate deposit substitution.
Central banks can measure total deposits by currency and by bank. They cannot directly measure how much of a deposit decline reflects stablecoin conversion versus physical cash withdrawal or other behaviors.
On-chain data provides an imperfect proxy. Chainalysis tracks on-chain volume per country, but this includes both transit, pass-through activity, and holding, store-of-value activity. Separating the two requires additional analysis.
The uncertainty is itself a policy problem: central banks cannot calibrate response to a channel they cannot measure precisely. This is one reason why some jurisdictions default to restrictive stablecoin policies rather than evidence-based ones.
Stage 4: Economic Tightening
Deposit leakage tightens lending, weakens activity, and can feed back into currency pressure.
As banks lose deposits and adjust their balance sheets, lending tightens. Businesses face higher borrowing costs or reduced credit availability. Economic activity slows. This weakens tax revenue and fiscal space, often weakening the currency further. The loop closes.
The lending tightening caused by deposit substitution has cascading effects:
- Working capital for businesses becomes more expensive, reducing trade capacity.
- Investment in productive capacity slows.
- Employment growth decelerates.
- FX earnings from exports may decline if productive capacity shrinks.
Less FX earnings means more pressure on the currency, more reason for citizens to seek USD exposure, and more deposit substitution. The flywheel completes its cycle.
What Breaks the Flywheel
The flywheel is driven by loss of confidence, not by the instrument that makes that loss visible.
The flywheel is driven by loss of confidence, not by stablecoins. Breaking it requires addressing the underlying confidence issue, not the instrument that makes the loss of confidence visible and fast.
Flywheels slow when confidence returns. Country examples should be treated as macro-policy evidence, not proof that a specific stablecoin flow reversed on a specific date.
- Turkey after 2023: the policy mix moved toward tighter orthodox monetary policy after a period of lira stress.
- Argentina after 2024: fiscal and monetary adjustment changed the confidence backdrop, even though dollarization pressure remained politically central.
- Israel, multiple episodes: credible central bank response to currency pressure has repeatedly been part of the policy toolkit.
These interventions matter because they address the cause, loss of confidence, rather than the symptom, stablecoin demand.
Nigeria's banking restrictions did not remove crypto demand; Chainalysis continued to report large Nigerian activity, and the Central Bank of Nigeria later issued VASP bank-account guidelines.
Turkey's 2021 crypto payment ban restricted payment use but did not remove the underlying demand for dollar exposure during currency stress.
India's 2018 RBI banking restriction was struck down by the Supreme Court in 2020 as disproportionate.
The pattern: banning stablecoins removes visibility but does not address demand. The flywheel continues in less visible channels, giving regulators less data and less ability to respond. This is the worst outcome.
The Stage 1 / Stage 2 framework addresses the flywheel more effectively than either permissive or prohibitionist regimes. Transit-only regimes eliminate the flywheel by design because no held positions can accumulate. Contained-holding regimes apply caps, no-yield rules, and custodial-only requirements that slow the flywheel without eliminating the underlying utility.
Both approaches preserve regulatory visibility through licensed operators and Travel Rule data while neutralizing the deposit-substitution channel.
The Two-Stage Framework details this approach.
Why This Matters for Policy
Stablecoins are not the cause of dollarization pressure. They are the accelerant on an existing fire.
The flywheel framework reframes the stablecoin policy question. Stablecoins are not the cause of dollarization pressure; they are the accelerant on an existing fire. Policy that treats stablecoins as the cause will fail. Policy that treats them as an accelerant can be effective.
Stablecoin policy cannot substitute for monetary policy. No stablecoin regime will prevent dollarization pressure if the underlying currency is losing credibility. The monetary response must come first.
Visibility beats prohibition. A supervised stablecoin ecosystem gives the central bank more timely data on capital flight. Prohibition pushes activity underground where the central bank cannot see it.
Speed matters both ways. Stablecoins accelerate the flywheel, but they can also make confidence restoration visible faster when the underlying policy mix improves. The same rail that reveals outflows can reveal returning demand.
Counter-Arguments & Limitations
Where this analysis can be challenged, and the counter-counter.
Two objections matter before the flywheel becomes a policy lens. The first argues that the framework over-attributes currency weakness to stablecoin deposit substitution. The second argues that speed compression is so destabilizing that only prohibition can preserve monetary sovereignty.
The argument: Argentina, Turkey, and Nigeria had currency crises long before USDT. Calvo's 1990s dollarization literature describes the same dynamic running through physical USD cash. Treating stablecoins as a meaningful accelerant overstates their role; the underlying drivers, fiscal indiscipline, monetary credibility loss, and FX mismanagement, are the actual causes. Stablecoin policy is downstream noise.
Counter-counter: The framework explicitly says stablecoins are accelerant, not cause. Stage 1 starts with monetary policy failure, not with USDT. The contribution is speed compression. Calvo-era dollarization cycles took weeks to months to complete; stablecoin-era cycles complete in minutes to days. Speed compression matters for policy because it eliminates the response window central banks previously had.
A central bank facing physical-cash dollarization could implement capital controls, policy rate adjustments, and intervention before the population converted balances at scale. The same central bank facing on-chain dollarization sees deposit leakage in real time and has no mechanical brake. Speed compression converts a slow-burn problem into a flash crash. Treating that as noise misses the policy implication.
The argument: If the flywheel completes in minutes, no policy response is fast enough. By the time a central bank reads the data, deposits are already gone. Stage 1 / Stage 2 frameworks may slow accumulation but cannot prevent the speed-compression problem; the only effective intervention is to remove the rail entirely. A restrictive archetype is not the worst outcome; it is the only honest response to instant capital flight.
Counter-counter: Speed compression cuts both ways. The same rail that compresses outflows can also make returning confidence visible quickly when the underlying policy mix improves. This is not a claim that a specific 2023 or 2024 episode mechanically reversed USDT flows on a precise timeline. It is a policy-architecture point: supervised rails preserve measurement, while prohibition removes it.
For a central bank with credible policy, on-chain rails are an asset: confidence-restoration can show up in days rather than years. For a central bank without credible policy, no instrument prevents capital flight. Physical cash, hawala, NDF markets, and real estate hedges all eventually move. Removing the rail does not buy time; it removes the mechanism that also lets confidence-restoration land quickly. The honest response is recognizing that monetary credibility was always the binding constraint and stablecoins made the binding visible.
About the Author
About This Framework
Scope, disclosure, and method.
Plexo operates corridors in flywheel-active markets, including Argentina, Turkey, and Nigeria, and observes the speed-compression dynamic in production volumes. The four-stage model is descriptive of what Plexo sees across corridor operations as well as public market evidence. The Stage 1 / Stage 2 policy framing reflects the architecture Plexo designs corridors around: visibility-preserving infrastructure that neutralizes the deposit-substitution channel by design.
Flywheel framework synthesized from IMF literature on dollarization dynamics, Chainalysis on-chain analytics, regulator disclosures, and IMF country surveillance. Country examples were refreshed on 2026-05-11 against current official or primary sources where available: Reuters for the Turkey payment ban, the Supreme Court of India for IAMAI v. RBI, the Central Bank of Nigeria for VASP banking rules, Congress for GENIUS, EUR-Lex for MiCA, the Bank of England proposal for systemic sterling stablecoins, and IMF Article IV materials for macro-policy context. The flywheel model does not claim to explain every currency episode but captures a recurring pattern visible in multiple markets over the 2018-2026 period.
Continue Reading
The Dollarization Myth - the transit/holding distinction that reframes the flywheel.
The Two-Stage Framework - the policy response that addresses it.
Africa's Stablecoin Spread Tax - the spread tax that signals the flywheel.
Monetary Sovereignty in the Age of Stablecoins - the broader sovereignty framework.
References
Chainalysis, 2024 Geography of Cryptocurrency Report; LATAM Crypto Adoption
Reuters, Turkey bans crypto payments (2021)
U.S. Congress, GENIUS Act, Public Law 119-27 (2025)
European Union, Markets in Crypto-Assets Regulation (2023)
Bank of England, Proposed Regulatory Regime for Sterling-Denominated Systemic Stablecoins (2025)
Supreme Court of India, IAMAI v. RBI (Mar. 2020)
Central Bank of Nigeria, Guidelines on Operations of Bank Accounts for Virtual Asset Service Providers (2024)
References
8 references- 2024 Geography of Cryptocurrency Report; LATAM Crypto Adoption — Chainalysis
- Turkey bans crypto payments — Reuters
- GENIUS Act, Public Law 119-27 — U.S. Congress
- Markets in Crypto-Assets Regulation — European Union
- Proposed regulatory regime for sterling-denominated systemic stablecoins — Bank of England
- IAMAI v. RBI — Supreme Court of India
- Guidelines on Operations of Bank Accounts for Virtual Asset Service Providers — Central Bank of Nigeria
- Article IV consultations — International Monetary Fund