Within minutes of US-Israeli strikes hitting Iran on February 28, crypto outflows from Iran's largest exchange surged 700%. Not Bitcoin. Not Ethereum. USDT. Tether. The same dollar-pegged stablecoin that Lebanese families use to buy groceries. The same one Myanmar's shadow government adopted as official currency. The same one that now fuels Venezuela's $44.6 billion crypto market, the fifth-largest in Latin America.

At its core, this is a story about trust — and the data shows it’s been unfolding for years.
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The Pattern No One Can Deny

Every major financial crisis since 2019 has produced the same result: stablecoin adoption surges. Not as speculation. As survival.

Turkey: the lira lost 82% of its value in 2021. Stablecoin purchases now equal 4.3% of Turkish GDP, the highest ratio of any country on Earth. The USDT-Turkish lira pair is the single largest trading pair on Binance globally, with over $22 billion in volume in 2024 alone.

Argentina: with inflation at 211%, Argentines transferred $91.1 billion in crypto between July 2023 and June 2024, surpassing Brazil. 61.8% of that was stablecoins. Over 100 businesses in Buenos Aires accept USDT and USDC for rent, supplier payments, and salaries.

Nigeria: $59 billion in crypto volume in the year ending June 2024. The Nigerian government launched its own digital currency, the eNaira. 98.5% of eNaira wallets went unused (IMF). Citizens chose USDT instead.

Lebanon: $93 billion in deposits remain frozen since 2019. Withdrawal limits of $400 per month. Residents now transact in USDT, buying groceries, coffee, and electronics through QR codes and Telegram groups.

Myanmar: after the 2021 military coup, the kyat lost 60% of its value and banks stopped functioning. The National Unity Government formally declared USDT as official currency in their territories.

The pattern extends further. Sri Lanka: P2P trading up 730% during its 2022 sovereign default. Pakistan: rose from #9 to #3 globally in crypto adoption during its rupee crisis. Egypt: 3 million crypto holders despite a total ban, driven by a 70% pound devaluation. Gaza: aid now enters as USDT when banking channels are blocked. Yemen: exchange activity surged after Houthi re-designation.

Twelve countries. Zero exceptions. And the institutional world has noticed.
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The Trust Fracture

Goldman Sachs estimates that roughly $190 billion in stablecoins (66% of the global supply) is held by individuals in emerging markets. Standard Chartered warned in October 2025 that $1 trillion could exit emerging market banks within three years because of stablecoin adoption. Their reasoning: "return of capital matters more than return on capital."

This shift comes from experience, not tech choice: when $93 billion of neighbors' savings get frozen overnight. When the government converts dollar deposits to devalued pesos. When ATMs limit withdrawals to 60 euros per day for four years. When the central bank seizes 48% of deposits to bail out a bank depositors didn't choose to fund.

These are not hypotheticals. These are Lebanon, Argentina, Greece, and Cyprus. And the academic evidence is unambiguous: research published by the Centre for Economic Policy Research shows that living through a banking crisis reduces trust in banks — and the effect endures. "No matter how long ago the crisis occurred," the negative impact persists.

Add a generational layer: Harvard's Youth Poll found only 9% of Americans aged 18-29 trust Wall Street, a 43% decline since 2015, ranking it among the least trusted institutions in the survey.

The question is not why people are moving to stablecoins. The question is why anyone expected them not to.
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From Bank Runs to Digital Exits

The behavioral pattern has fundamentally changed, and most institutions have not caught up.

The old pattern: crisis hits, people queue at ATMs, ATMs run dry, banks impose withdrawal limits, deposits get frozen or confiscated, savings evaporate.

The new pattern: crisis hits, people open their phones, buy USDT, move it to a self-custody wallet (a digital wallet only they control, with no bank or institution involved), and continue paying for groceries and sending remittances.

The second pattern is quieter. There are no TV-ready ATM queues. No protestors storming bank lobbies. The money simply leaves.

The Federal Reserve published two papers in December 2025 analyzing exactly this dynamic. "Banks in the Age of Stablecoins" models scenarios where stablecoin adoption drains deposits from the banking system. A separate paper on the Silicon Valley Bank collapse documented how over $40 billion was withdrawn in a single day. The speed of modern bank runs has outpaced every regulatory framework designed to prevent them.

The IMF has been more direct. Multiple papers published in late 2025 analyze what amounts to digital dollarization, specifically naming Lebanon, Nigeria, Turkey, and Argentina as countries where USD stablecoins are functionally replacing local currencies. Tether and USDC now hold more US Treasuries than Saudi Arabia (IMF, Finance and Development, September 2025).

And in February 2026, Oliver Wyman published "Monetary Sovereignty Faces New Challenges From Stablecoins." When Oliver Wyman writes that headline, the conversation has moved from crypto commentary to board rooms.
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What the Gulf Sees That Others Don't

The most important distinction missed in most coverage of the GCC is this: GCC central banks are not anti-stablecoin. They are anti-uncontrolled-stablecoin.

The CBUAE's Payment Token Services Regulation is the clearest signal: the central bank wants stablecoins to exist, but licensed, regulated, and issued by UAE-incorporated entities under direct supervision. The opportunity for banks in the UAE is not to compete with Tether. It is to be the regulated alternative that the central bank actively wants to build.

And they are building fast. AE Coin, the UAE's first CBUAE-licensed AED-pegged stablecoin, will be accepted at ADNOC's nearly 980 fuel stations across three countries, e& UAE, Air Arabia, and for federal government payments. The DDSC, a dirham-backed stablecoin launched in February 2026, entered its institutional pilot phase — backed by IHC (the UAE's largest conglomerate), First Abu Dhabi Bank (the UAE's largest bank), and ADQ, a sovereign wealth fund with over $260 billion in assets. GlobalSWF called it "a geopolitical move, a monetary gambit, and a market-access play rolled into one." Zand Bank has CBUAE approval for its own AED stablecoin, RAKBank has in-principle approval, and the first USD stablecoin (USDU) was approved in January 2026.

In February 2026, the CBUAE announced the world's first sovereign financial cloud. The language was not about innovation or fintech. It was about building "a centralised, highly secure, dedicated and isolated infrastructure that ensures data sovereignty." That is sovereignty language.

And then there is mBridge. The cross-border CBDC platform involving the UAE, Saudi Arabia, China, Hong Kong, and Thailand has now settled $55.5 billion, a 2,500x increase since its pilot phase. The Bank for International Settlements withdrew from the project in October 2024, handing full governance to member central banks. A peer-reviewed paper published in 2025 documented that mBridge was driven by "geoeconomic concerns with securing trade ties and enhancing monetary sovereignty." The International Institute for Strategic Studies linked Gulf de-dollarization moves in part to watching Russia's dollar reserves frozen and the weaponization of the financial system in 2022.

Across the GCC implementations our team has advised, the practical reality is a layered model: wholesale CBDC for interbank settlement, regulated stablecoins for commercial and retail use. They are not competitors. They are different layers of the same stack. Central bankers in the region understand this. The false binary between CBDC and stablecoin is maintained primarily by those who have not had a direct conversation with an actual central banker about their infrastructure roadmap.
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The Honest Risks

This thesis has vulnerabilities, and ignoring them would be dishonest.

In the US, stablecoins carry no deposit insurance. The US GENIUS Act explicitly excludes them from FDIC coverage. When Circle had $3.3 billion stuck at Silicon Valley Bank in March 2023, USDC dropped to $0.87 within hours. The people most dependent on stablecoins are often the least equipped to absorb that kind of shock.

Scale still matters. The entire stablecoin market is roughly $300 billion. Global bank deposits exceed $200 trillion. Stablecoins represent 0.15% of that. The banking system is not under existential threat in aggregate.

And the dual-use problem is real. $154 billion in illicit crypto flows were recorded in 2025, with stablecoins accounting for 84% (Chainalysis). Russia's A7A5 ruble-backed stablecoin processed over $100 billion in its first year, and Iran's central bank acquired at least $507 million in USDT, using it both to intervene in currency markets and to build sanctions-resistant channels (Elliptic).

The counterpoint: $59 billion in Nigeria is not small for Nigeria. $91.1 billion in Argentina is not small for Argentina. And the absence of deposit insurance is a genuine weakness only if the alternative is functioning. For the Lebanese family whose $93 billion banking system is frozen, the lack of FDIC coverage on a USDT wallet is a theoretical concern. The inability to access bank deposits is a daily reality.
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What This Means

On February 28, 2026, missiles hit Dubai, Doha, and Manama. The Strait of Hormuz faced restrictions. Gold surged past $5,300. Oil spiked 13%. And within minutes, Iranians moved to stablecoins at seven times their normal rate.

Dubai's safe-haven brand, the foundation of its economic model, took a direct hit. Bloomberg wrote that "the safe-haven veneer is cracking badly." Fortune quoted an analyst saying "there is no going back."

Something else is also true. Despite the largest missile and drone barrage ever launched at a Gulf state, the UAE intercepted 95% of incoming threats: over 700 ballistic missiles, cruise missiles, and drones in the first two days, using a layered defense of THAAD, Patriot, Barak-8, and homegrown SkyKnight systems. Three lives were lost. Semafor called the performance "impressive, rivaling the 90% success rate of the Israeli Iron Dome." The physical safe haven did not shatter. It held.

But the attacks exposed a different kind of fragility. Drone strikes damaged two AWS data centers in the UAE, knocking ADCB's mobile banking app offline, disrupting Emirates NBD's phone banking, and taking down consumer platforms like Careem. For hours, customers of major banks could not access their accounts — not because the banks had failed, but because the cloud infrastructure they depended on had been physically hit.

Stablecoin wallets kept working. Self-custody wallets have no data center to strike. No single server to take offline. The contrast played out in real time.

The digital infrastructure the UAE has been building is designed for exactly these moments. A CBUAE-licensed AED stablecoin with partnerships spanning fuel stations, airlines, and government payments. A sovereign-backed digital dirham in institutional pilot. The world's first sovereign financial cloud. A SWIFT alternative that has settled $55.5 billion. It works when AWS goes down. It works at 3 AM on a Saturday. It works when ATMs are empty and banks are closed.

The countries that build this infrastructure now will not just recover from this crisis. They will define what a safe haven means in the next decade.

The rest will watch their deposits leave, quietly, on phones, while they argue about whether stablecoins are real.

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Frequently Asked Questions

Why do people turn to stablecoins during financial crises?

Stablecoins offer dollar-denominated value storage outside the banking system. When banks freeze deposits, impose withdrawal limits, or fail to protect savings from currency devaluation, stablecoins provide an accessible alternative that does not require trust in a domestic financial institution. Research by the Centre for Economic Policy Research confirms that living through a banking crisis durably reduces trust in banks. Turkey, Argentina, Nigeria, Lebanon, and eight other countries have shown this pattern consistently since 2019.

Which countries have seen the highest stablecoin adoption during banking crises?

Turkey leads by ratio, with stablecoin purchases equivalent to 4.3% of GDP (Kaiko, 2024). Argentina recorded $91.1 billion in crypto transfers in the twelve months to June 2024, 61.8% stablecoins (Chainalysis). Nigeria transacted $59 billion in crypto while its government-issued eNaira saw 98.5% of wallets go unused (IMF). Lebanon, Myanmar, Sri Lanka, Pakistan, Egypt, Gaza, Yemen, and Iran complete a consistent twelve-country pattern.

Are stablecoins safe if there is no deposit insurance?

This is a genuine risk. The US GENIUS Act explicitly excludes stablecoins from FDIC coverage, and when Circle had $3.3 billion at Silicon Valley Bank in March 2023, USDC dropped to $0.87. For populations in stable economies with functioning banks, this is a meaningful consideration. For populations facing deposit freezes, withdrawal limits, or currency devaluation, the comparison shifts: the theoretical risk of a stablecoin is weighed against the realized risk of a banking system that has already failed them.

What is the UAE building with stablecoins?

The UAE has four parallel infrastructure tracks: (1) the CBUAE Payment Token Services Regulation, licensing AED and USD stablecoins under direct central bank supervision; (2) AE Coin, accepted at 980 ADNOC fuel stations across three countries and for government payments; (3) DDSC, a dirham-backed stablecoin in institutional pilot backed by IHC, First Abu Dhabi Bank, and ADQ; (4) the world's first sovereign financial cloud, announced February 2026. The UAE also participates in mBridge, which has settled $55.5 billion.

What is the difference between a CBDC and a stablecoin?

A CBDC is issued directly by a central bank and used primarily for wholesale interbank settlement and monetary policy transmission. A stablecoin is privately issued, pegged to a currency or asset, and used for commercial and retail transactions. Across the GCC implementations our team has advised, these are not competing solutions. They are different layers of the same financial stack: CBDC for wholesale settlement, regulated stablecoins for commercial and retail use.

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How OpenAI reinvented itself into the most valuable AI company

On Friday, November 17, 2023, Sam Altman joined what he assumed would be a routine internal call. Thirty minutes later, he was fired by the board of OpenAI.

By the end of the weekend, Microsoft was preparing to hire him. By Monday, more than 730 OpenAI employees had signed a letter stating they would leave the company unless he was reinstated. Within five days, he was back.

The organization that came within hours of unraveling over a single weekend would reach an estimated valuation of roughly $500 billion less than two years later, becoming the most valuable private technology company in the world.

The leadership crisis did not create OpenAI’s structural problems but revealed them. Because by 2023, OpenAI was no longer the company it had been founded to be.

A nonprofit trying to outflank Big Tech

When OpenAI launched in December 2015, it positioned itself as something close to an ideological counterweight to Big Tech. Its founders, including Sam Altman, Elon Musk, Ilya Sutskever, and Greg Brockman, framed the organization as a research lab that would pursue artificial general intelligence for the benefit of humanity, not shareholder value.

At the time, roughly $1 billion in funding was pledged. In practice, by 2019, the organization had secured closer to $130 million in committed capital.

This gap reflected structural limitations rather than execution failure. The nonprofit format allowed it to signal independence from commercial incentives but also limited access to the scale of financing required to train frontier machine learning models, which were already becoming exponentially more expensive.

When Elon Musk stepped down from the board in 2018 following disagreements over the organization’s direction, OpenAI lost not only a prominent supporter but also one of its largest potential funding sources. Internally, this marked a turning point. Competing with corporate AI labs while refusing commercial capital was becoming increasingly unrealistic.

The mission had not changed. But the operating environment had.

The first pivot: Hybridization

In 2019, OpenAI introduced a capped-profit subsidiary, OpenAI LP, in an attempt to reconcile these constraints. Investors would be allowed to earn returns, but only up to a fixed multiple, while the nonprofit board would retain ultimate control.

On paper, this preserved mission alignment. In practice, it created a dual mandate.

Inside the same organization now existed:

• researchers optimizing for long-term safety and alignment
• product teams facing real market competition
• infrastructure teams negotiating enterprise partnerships
• leadership responsible for securing billions in capital
  
  

The hybrid model allowed OpenAI to accept Microsoft’s first major investment later that year. It also embedded a tension that would become difficult to manage as the company moved from research into deployment.

That shift happened faster than anyone expected.

ChatGPT changed the risk profile

When ChatGPT launched on November 30, 2022, OpenAI did not market it as a defining moment for the AI industry. The announcement itself was minimal. Adoption was not.

Within months, ChatGPT had become a global consumer interface for generative AI. OpenAI was valued at approximately $29 billion in early 2023, and Microsoft expanded its partnership significantly.

More importantly, OpenAI had crossed a threshold. It was no longer operating solely as a research institution exploring the long-term implications of artificial intelligence. It was now shipping a product into a competitive market, one in which speed, iteration cycles, and enterprise adoption carried immediate strategic consequences.

Governance mechanisms originally designed for cautious research oversight were suddenly being applied to a commercial platform experiencing hypergrowth.

That mismatch would surface less than a year later.

The weekend that forced a decision

The board’s decision to remove Altman in November 2023 triggered an immediate crisis, not because of his individual role, but because of what the company had become under his leadership.

Investors viewed him as essential to OpenAI’s commercial trajectory. Employees viewed him as the architect of its productization strategy. Partners viewed him as the primary interface between OpenAI and the enterprise market.

His removal effectively raised a broader question: was OpenAI a research lab governed by a nonprofit board or a platform company embedded in global software infrastructure?

Altman’s reinstatement did not resolve that question. But what followed in 2024 began to answer it.

Growth introduced trade-offs

Over the next twelve months, several senior figures associated with OpenAI’s long-term safety initiatives departed, including co-founder and chief scientist Ilya Sutskever and Superalignment co-lead Jan Leike.

Public reporting suggested that internal disagreements had focused on compute allocation and prioritization. Resources committed to long-term alignment research were now competing directly with commercial deployment timelines for enterprise products.

In earlier phases of the organization’s development, these priorities could coexist. At scale, they required trade-offs. OpenAI increasingly chose product velocity.

The second pivot: Toward commercial alignment

Between 2024 and 2025, OpenAI began exploring a transition toward a Public Benefit Corporation model, a structure more explicitly designed to balance mission commitments with commercial obligations.

The shift reflected a strategic conclusion that had been forming for years: delivering on OpenAI’s original mission would require operating within capital markets, not outside them.

By 2025, annualized revenue reportedly exceeded $20 billion, weekly usage had grown into the hundreds of millions, and enterprise deployments were expanding across Fortune 500 organizations. Infrastructure capacity scaled accordingly, with compute margins improving as business adoption accelerated.

OpenAI had not abandoned its mission. But it had fundamentally restructured the organization tasked with executing it.

Execution required transformation

For founders navigating structural transitions — from open protocols to managed platforms, from research-driven development to enterprise deployment — OpenAI’s trajectory highlights a recurring dynamic.

Organizational forms that support early-stage experimentation often become constraints under conditions of industrial-scale deployment. Governance systems built to protect long-term alignment may struggle to accommodate real-time competitive pressure. Capital access, initially framed as a risk to mission integrity, can become a prerequisite for operational impact.

Scaling, in other words, is not only a technological problem. It is an institutional one. And sometimes, executing on a mission requires redefining the structure originally designed to protect it.

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For most of the past decade, the stablecoin market was defined by one overriding goal: distribution.

Issuers raced to grow supply, wallets focused on onboarding, and infrastructure providers competed to become default rails for crypto-native activity.

That phase is now ending.

Stablecoin transactions reached a record ~$33T in 2025, according to aggregated industry data cited by Bloomberg, reflecting continued growth across both trading and emerging payment use cases. By early 2026, total stablecoin market capitalization had climbed to approximately ~$308B, based on CoinDesk Data’s Stablecoins & Tokenized Assets Report.

The market has now moved beyond experimentation into financial relevance. These assets underpin a large share of crypto trading and increasingly appear in real-world payment flows. But adoption alone is no longer the defining challenge. The next phase will be shaped by competition, retention, and sustainable economics.

To understand where the stablecoin market is heading next, it helps to look backward.
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The early phase of the stablecoin market: Growth through distribution

In its early years, the stablecoin market was defined less by standardization and more by expansion.

Between 2017 and 2022, multiple models emerged and scaled in parallel rather than converging around a single dominant framework.

USDT, launched in 2014, became the primary trading stablecoin during the 2017–2021 cycle by prioritizing exchange integrations and deep liquidity across centralized venues. It established itself as the default quote asset on major trading platforms, reinforcing its dominance through liquidity-driven network effects.

USDC, introduced in 2018 by Circle and Coinbase, followed a different strategy. From the outset, it emphasized regulatory transparency, reserve disclosures, and institutional partnerships, positioning itself closer to traditional financial infrastructure and compliance-oriented users.

DAI, launched in 2017 by MakerDAO, introduced yet another model: overcollateralized, fully on-chain issuance backed by crypto-native collateral rather than fiat reserves.

Rather than converging early around a shared standard, the market expanded through competing collateral structures, integration strategies, and regulatory postures.

A similar pattern unfolded decades earlier in the payment card industry. In the 1950s and 1960s, bank-issued card schemes operated largely as independent networks. BankAmericard (later Visa) and the Interbank Card Association (later Mastercard) began as fragmented systems with limited interoperability and regionally concentrated acceptance. Each network focused first on expanding issuance and merchant coverage within its own ecosystem.

Only later did standardization, shared authorization systems, and interoperable clearing frameworks emerge, enabling the global networks we now take for granted.

Stablecoin adoption followed a similar path. Issuers prioritized liquidity, exchange integrations, and geographic spread. Users cared less about differentiation and more about basic utility: price stability, availability, and settlement speed.
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At that stage, fragmentation was not a weakness — it was a feature of a market still discovering its use cases.

From fragmentation to consolidation: Lessons from payment networks

Payment history suggests that fragmentation does not last.

In traditional card networks, consolidation followed a clear operational logic:

• shared acceptance reduced transaction failure rates
• centralized clearing reduced settlement time
• interoperability lowered switching costs between issuing banks
  
  

Over time, global payment infrastructure consolidated around interoperable networks and shared standards. Stablecoins are now approaching a similar inflection point.

As usage expands beyond trading into payments, treasury management, and cross-border settlement, fragmentation introduces operational cost:

• fragmented custody integrations increase treasury reconciliation complexity
• jurisdictional differences complicate accounting treatment
• liquidity fragmentation increases FX and settlement risk
  
  

This does not imply that the stablecoin market will collapse into a simple duopoly. But it does suggest that not all issuers will retain relevance as operational demands increase.

Why stablecoin adoption alone is no longer enough

During the expansion phase, adoption metrics dominated the conversation: circulating supply, number of integrations, number of supported chains.

Today, those metrics are necessary — but insufficient.

As more issuers compete for the same users, retention becomes the real differentiator.
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Despite rising demand in emerging markets, the majority of stablecoin transaction volume remains concentrated in crypto-native activity. Nearly nine-tenths of transactions relate to crypto trading, while only around 6% are used for payments for goods and services.

In practice, adoption does not equal acceptance.

Many businesses can technically receive a stablecoin but struggle to use it operationally. Legal acceptance, accounting treatment, off-ramps, and internal treasury workflows often become hidden bottlenecks. Without solving these layers, stablecoin usage remains superficial, even when adoption metrics look strong.
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«The core difficulty in overcoming the “acceptance barrier” among most issuers whose models I have analyzed stems from a systemic mistake: functionality was treated as an end in itself, without a clearly articulated value proposition. Infrastructure is typically built faster than a compelling economic rationale for the user.

Stablecoin technology is currently undergoing institutional maturation. An instrument that originated in a distributed digital environment is being integrated into a vertical system of formal regulation. As a result, projects face what can be described as an “identity crisis” — they must clearly define their role under inherently contradictory premises: a regulator-controlled cryptocurrency or a payment instrument rooted in a distributed economy. Without clear positioning, it is impossible to build trust or explain to users why they should adopt the instrument.

Practical use cases therefore become decisive. Adoption will not occur if the instrument does not fulfill a clear function — either as an investment vehicle or as a payment instrument. Moreover, user value must be service-driven, not merely technical. If the product does not surpass existing traditional and Web3 alternatives in terms of convenience, freedom, and cost efficiency, there will be no incentive to switch.

Sustainable adoption is possible only when the instrument is universally accepted without excessive barriers and demonstrably solves a specific problem better than available alternatives. This can be achieved through different approaches: either through strict regulation with mandatory usage, or through a market-driven business model based on monetizing trust supported by technological superiority. Both strategies are viable, but they require fundamentally different architectural choices. Ultimately, the decision between them is a matter of regulatory policy and the broader model of financial system development.»

— Mikhail Alexandrov, Senior Consultant in Web3 & Deep Tech Solutions, Mezen.io

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Stablecoins are, by design, substitutable. Switching between them carries little friction unless issuers deepen integration through infrastructure and embedded workflows.

During the expansion phase, this substitutability did not constrain growth. Liquidity was sufficient to attract users, and issuance scale drove adoption.

But in a more mature market, substitutability begins to reshape economics. Distribution becomes commoditized, margins compress, and competitive advantage shifts away from issuance speed toward integration depth and network positioning.

Issuing more tokens is no longer enough to build a lasting advantage. Liquidity still benefits dominant players like USDT, but scale alone does not guarantee long-term relevance — especially beyond trading environments.

In mature markets, scale without structural integration becomes fragile.
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Stablecoin business models: How issuers actually make money

Understanding the next phase of the stablecoin market requires a clear view of stablecoin economics.

At a high level, most business models rely on some combination of:

Reserve yield

Interest earned on fiat or treasury-backed reserves remains the dominant revenue source for large issuers.

Public disclosures indicate that Circle generated approximately ~$1.7B in revenue in 2024, with the majority derived from interest income on USDC reserves. However, a significant portion of that revenue was shared with distribution partners, including exchanges. This illustrates a structural feature of yield-based models: revenue depends not only on interest rates, but also on how effectively tokens are distributed and integrated into trading and payment infrastructure.
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As a result, profitability is sensitive to:

• interest rate cycles
• partner economics
• regulatory capital and reserve treatment
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When rates decline or distribution costs rise, margins compress quickly.

Distribution partnerships

Beyond reserve income, scale often depends on deep integrations with exchanges, wallets, payment processors, and fintech platforms. Stablecoins that are embedded directly into user flows benefit from higher retention and recurring usage.

Distribution is not just about circulation, it is about where and how the token is used.

Ecosystem positioning

Stablecoins that sit at the center of settlement, collateral, or treasury workflows gain structural advantages. When a token becomes embedded in financial operations rather than used only for trading, switching costs increase and usage becomes repeatable.

The critical shift is this: stablecoins are moving from products to platforms. Issuers are no longer just minting tokens — they are designing economic systems around usage, liquidity, and trust.

The shift from distribution to retention

Retention in the stablecoin market is largely operational.

Users do not stay because of branding. They stay because a stablecoin works everywhere it needs to — across custody providers, exchanges, payment flows, and off-ramps.

Friction compounds quickly at scale. What works for early crypto-native users often fails under institutional volume.
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«Any product is chosen when it performs the required task more effectively under the given conditions.

It is important to clearly understand that, at this stage, stablecoins represent the global economy’s response to the accumulated inefficiencies of traditional financial systems. Their primary and most mature use case is enabling sovereignty in cross-border payments amid preventive restrictions in a context of heightened political tension.

Provided that such an instrument is recognized within the bilateral framework between two countries, and that international financial monitoring standards as well as best practices in AML and counter-terrorist financing are strictly observed, stablecoins do not weaken oversight. On the contrary, they allow control mechanisms to be embedded directly into the settlement technology itself. This creates the conditions for supporting real business activity without imposing excessive administrative burdens on market participants.

Conceptually, this model enables the practical implementation of principles articulated in the sanctions policy of developed jurisdictions:

“EU sanctions are aimed at those responsible for the policies or actions the EU wants to influence, while reducing as much as possible any unintended consequences.”

— European Union restrictive measures explanation, European External Action Service (EEAS)

Accordingly, sovereign economies do not operate on the basis of technological experimentation — they operate on the basis of managed risk. A stablecoin aspiring to function as an infrastructure instrument must operate within national financial and macroeconomic constraints. Its scaling is possible only with institutional support, transparency, and strict adherence to compliance standards. Implementation must be gradual, while preserving the supervisory role of the state, so that innovation does not increase systemic risk or undermine trust in regulators and central banks.»

— Vasili Kulesh, Chairman of the Supervisory Board of the Association of Digital Technologies and Innovation “Cyber Innovations,” Republic of Belarus.

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At scale, networks stop competing on novelty and start competing on reliability and economics. Stablecoin competition increasingly becomes about who owns the default pathway — not who launches fastest.
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Stablecoins in payments: Implications for banks and fintechs

For banks and fintechs, the implications are structural rather than tactical.

In the European Union, the Markets in Crypto-Assets Regulation (MiCA) formally classifies fiat-backed stablecoins as electronic money tokens (EMTs), subject to reserve, disclosure, and capital requirements aligned with e-money frameworks.

In the United States, policy discussions around payment stablecoins have increasingly focused on prudential supervision and reserve composition. Legislative initiatives such as the proposed GENIUS Act aim to establish federal standards for payment stablecoin issuers, distinct from broader market structure legislation such as the CLARITY Act.

Institutional experimentation is already underway.

JPMorgan’s JPM Coin, launched in 2019 as a tokenized deposit instrument, supports corporate treasury settlement via the Onyx network, which has processed over ~$1B in daily transactions across internal and client payment flows.

The central question is economic: why issue or integrate a stablecoin at all?

The answer depends on where operational cost can be reduced, where revenue can be generated, and how stablecoins reshape treasury operations in cross-border or high-volume environments.
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Infrastructure matters: Why not all stablecoins will survive

As the market matures, infrastructure becomes the primary filter.

Issuers that fail to invest in compliance, liquidity management, custody design, and operational resilience will struggle to retain users. The stablecoins that endure will be those that function reliably under stress — not just in growth phases.

Custody and compliance are not checkboxes.

Integrating with institutional custody providers requires far more than technical connectivity. As transaction volumes grow, compliance complexity grows with them. Fully tracing transaction flows across high-volume, cross-border networks introduces significant operational costs. Counterparty screening, sanctions checks, and transaction monitoring systems must scale alongside throughput.

One common response is the use of segregated wallet structures, where each client operates through isolated accounts. This reduces downstream risk exposure, but it also increases operational overhead — another example of how scale reshapes stablecoin economics.

Across mature issuers and platforms, a clear pattern is emerging. Infrastructure is converging around standardized issuance frameworks, integrated custody and settlement layers, compliance-by-design architectures, and deep secondary liquidity.

Stablecoins increasingly resemble financial infrastructure rather than consumer products. Their success depends less on branding and more on reliability, the kind that becomes visible only when systems are under pressure.
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What the future of the stablecoin market looks like

The next phase of stablecoin market evolution is unlikely to be linear.
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Several trajectories may unfold in parallel:

• Gradual consolidation around a smaller set of dominant stablecoins
• Deeper integration with payment systems and treasury operations
• Increased institutional participation driven by regulatory clarity
• Continued experimentation at the edges, with many projects failing quietly
  
  

What is clear is that the easy phase is over. Growth now demands strategy, not just issuance.

Bottom line

Stablecoins have already proven that digital representations of fiat value can scale globally. The question now centers on how their economics are designed and controlled.

As competition intensifies and margins compress, long-term relevance will be determined by infrastructure choices, compliance architecture, and operational maturity.

For organizations navigating this transition, the challenge is turning a stablecoin into durable financial infrastructure.

Thinking about launching or scaling a stablecoin?

At Mezen, we work with banks, fintechs, and infrastructure providers on stablecoin strategy, economics, and operational design — from early feasibility to scalable infrastructure.

If you want to understand whether a stablecoin makes sense for your business — and how to build one that holds up under real-world conditions — get in touch for a consultation with the Mezen team.

A crash, a write-down, and a timing mismatch

In August 2022, Nvidia reported a $1.34B charge, largely tied to inventory and revised demand expectations in Data Center and Gaming. The company was writing down excess supply. Demand had slowed. Growth stocks were being repriced. Its market value was collapsing.

At almost the same time, ChatGPT was preparing for its public launch.

The paradox is striking in hindsight: just as Nvidia was absorbing one of the sharpest drawdowns in modern corporate history: $375B in market value erased between late 2021 and the end of 2022. The infrastructure it had been building for years was about to become indispensable.

Once that indispensability became clear, the market re-rated the company with unusual speed. Less than a year after losing more than half its market value, Nvidia crossed the $1T mark. By mid-2025, it had climbed past $4T.

How does a company go from “finished success story” to historic collapse — and then to becoming the backbone of a technological revolution?

A story that seemed complete

By early 2022, Nvidia seemed to have already won. It dominated gaming GPUs and had steadily expanded into data centers. It had positioned itself as a leader in accelerated computing for machine learning. The arc looked complete.

Then macro conditions flipped. Rising rates compressed growth valuations. Gaming demand slowed sharply. Crypto-mining demand, which had indirectly supported GPU sales, collapsed. Inventory accumulated across channels.

By the end of 2022, Nvidia’s market capitalization had fallen from roughly $736B to about $361B. More than half its value had vanished.

In the second quarter of fiscal 2023, revenue declined 19% sequentially. Gaming revenue dropped 44%. Gross margin was hit by a $1.34B inventory charge. This was not a minor correction, it was a demand shock.

And yet, even inside that turbulence, a different signal was visible: data center revenue remained strong, reaching $3.81B and growing 61% year-over-year.

The foundation was intact. The narrative was not.

The demand shock

ChatGPT’s public release in November 2022 did not invent artificial intelligence. It changed urgency.

Generative AI moved from “research progress” to “competitive priority” almost overnight. Boards demanded AI strategies. Startups raised capital around AI-native products. Hyperscalers accelerated infrastructure buildouts.

Nvidia did not need to pivot. It was already positioned for that shift.

For more than a decade, the company invested in accelerated computing, meaning GPUs optimized for parallel workloads, as well as in the software stack that made those GPUs usable at scale. CUDA, under development for over 15 years, was long perceived as a niche tool for researchers. When generative AI demand surged, it became critical infrastructure.

Training large language models required more than powerful chips. It required optimized libraries, developer tooling, integration paths — an ecosystem. Nvidia had built that ecosystem early and at scale. Today, more than 5.9 million developers use CUDA and related tools.

As AI projects moved from experimentation to deployment, infrastructure budgets followed. Large-scale GPU clusters became a priority, and Nvidia’s data center platforms were already the default choice.

Revenue composition shows how quickly that shift materialized:

• Q Jan 2023: Data center revenue — $3.62B
  
  
• Q Jan 2024: Data center revenue — $18.4B
  
  
• Q Jan 2025: Data center revenue — $35.6B
  
  

This was not a rebound in gaming demand. It was a structural acceleration in AI infrastructure spending.

The system that was built too early

Nvidia’s resurgence was not accidental. It reflected strategic choices made long before generative AI became mainstream.

Long-term thinking that looked irrational

Investments in CUDA and full-stack development began long before clear commercial applications existed. For years, these efforts looked like overinvestment. Why build deep software layers around hardware products?

Because once a platform scales, switching becomes exponentially more expensive.

By the time generative AI demand exploded, millions of developers were already using Nvidia’s tools. Switching away was not just a procurement decision — it was an ecosystem migration problem.

This is the core insight: the moat was never just silicon performance. It was accumulated developer capital.

Speed built on preparedness

When AI demand surged, Nvidia did not need to redesign its entire strategy. It needed to scale.

Its product roadmap, including successive GPU generations, systems integration, networking enhancements, moved on predictable cycles. Competitors could build chips. Replicating years of integrated R&D cadence was harder.

Speed, in this case, was not improvisation. It was execution on a long-prepared pipeline.

Vertical integration across the stack

Nvidia’s approach has consistently extended beyond chips. Its filings describe a full-stack model spanning architecture, processors, systems, interconnect, algorithms, and software.

The acquisition of Mellanox in 2020 strengthened its networking capabilities — a detail that became decisive as AI training clusters scaled. In large-scale model training, networking throughput determines efficiency as much as compute performance.

Owning more of the stack meant controlling more of the bottlenecks.

A culture of calculated risk

Periods of downturn reveal whether strategy is structural or opportunistic. In 2022, Nvidia absorbed inventory pain and acknowledged limited visibility, but it did not abandon its platform investments.

The company moved quickly operationally while preserving its long-term architecture. That combination of preparation and adaptability reflects a culture of fast execution built on deep technical conviction.

From cyclical supplier to structural platform

By 2023, Nvidia was back in the trillion-dollar club. By 2025, it had crossed $4T, and it even briefly surpassed $5T on peak AI enthusiasm in late 2025.

What changed was the center of gravity of Nvidia’s business. In just two years, quarterly data center revenue grew from $3.62B to $35.6B, and by early 2025, that segment had become the company’s dominant source of earnings.

Market-share estimates tell the same story from another angle. Reuters reported Nvidia controls about 80% of the high-end AI chip market. An IDC slide deck shows Nvidia at 85.2% in an “AI Accelerator Vendor Share” view.

This dominance isn’t just about faster chips. It reflects switching costs embedded in software, developer workflows, and production ecosystems built over years. 

Nvidia didn’t merely benefit from the AI wave. It became the platform the wave runs on.

Compounding beats timing

The most important insight is counterintuitive: success rarely comes from a single brilliant decision. It comes from decades of investment in capabilities that look unnecessary in the moment.

When Nvidia invested heavily in CUDA, few predicted trillion-dollar AI infrastructure markets. When it integrated across hardware and networking, the demand for AI “factories” was not obvious.

But when the environment shifted, those “excess” investments turned into inevitability.

Three strategic lessons stand out:

1. Invest in the future before it is obvious. The most valuable capabilities often look excessive during stable periods.
   
   
2. Run simulations before going all-in. Full-stack thinking reduces the risk that one bottleneck caps upside when demand spikes.
   
   
3. Build ecosystems, not products. Products compete on features. Ecosystems compete on lock-in, developer capital, and integration depth.
   
   

Nvidia did not predict the exact timing of generative AI’s explosion. It built the conditions to benefit from it. And when the world changed, readiness compounded into dominance.

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