France’s gambling regulator, the Autorité Nationale des Jeux (ANJ), ordered internet service providers to block Polymarket on July 16, treating the prediction market as an illegal gambling site rather than a financial trading venue.

The ANJ said earlier restrictions had failed to keep French users off the platform. Polymarket drew 578,751 visits from 205,057 unique visitors in France in June, according to Similarweb data cited by the regulator, despite a ban on financial transactions in place since November 2024. A VPN was enough to bypass it.

The homepage remained accessible, allowing users to view live markets and odds. The ANJ said the real-time odds display promoted an unauthorized gambling service.

“The site’s homepage, which dynamically displays real-time odds for various events open to betting, thus serves as a major channel for disseminating and promoting Polymarket’s offerings, even though the site’s operations are not authorized in France,” the regulator wrote. Fines can reach 100,000 euros ($114,380).

Polymarket didn’t immediately respond to a comment from CoinDesk.

The ANJ also cited a complaint from France’s weather service, Météo-France, over a tampered temperature sensor tied to weather-based bets, prompting the Paris prosecutor’s cybercrime unit to open an investigation on May 4.

Ethereum’s best marketing line was that using it destroyed it, that every transaction burned ETH and shrank the supply. Then the network solved its scaling problem, activity fled to layer 2s, and the burn collapsed. The scaling worked. The scarcity did not survive it.

For about eighteen months, Ethereum had the best story in crypto, and the story was a paradox: the more people used the network, the rarer its token became. Every transaction burned a little ETH, and when the network was busy enough, it burned more than it created. Supply went down. The community called it ultrasound money, a deliberate jab at Bitcoin’s “sound money,” complete with a bat emoji and a movement.

For a while, the data backed it up. Then Ethereum did the thing it had promised to do for years, which was to scale, and scaling broke the story. Activity moved to layer-2 networks that pay almost nothing to the base chain, the burn collapsed, and ETH quietly went inflationary again. This is the story of how Ethereum’s greatest technical success dismantled its best economic narrative, and whether a December upgrade can put the pieces back.

What ultrasound money actually meant

The mechanism is worth getting exactly right, because the whole debate turns on it.

In August 2021, Ethereum activated EIP-1559, which changed how transaction fees work. Instead of paying miners directly, every transaction now pays a base fee that is burned, permanently removed from circulation. The busier the network, the higher the base fee, and the more ETH destroyed. On its own, that is just a fee-burning mechanism. It became a monetary thesis when Ethereum switched from proof-of-work to proof-of-stake in the September 2022 Merge, which cut new ETH issuance by roughly 90%, because the network no longer had to pay energy-intensive miners.

Put the two together, and you get the ultrasound thesis. Issuance dropped to a trickle after the Merge. Burning continued with every transaction. If burning exceeded issuance, total ETH supply would shrink over time, making the asset deflationary. And a deflationary asset with growing demand should, in theory, appreciate. Ethereum would become harder money than Bitcoin, whose supply still grows, hence “ultrasound.” The tracking site ultrasound.money existed to display exactly this: supply ticking down, day by day.

For a stretch after the Merge, it happened. Supply fell back toward and below the level it sat at during the Merge itself. Burns outpaced issuance. The narrative was not hype; it was, for that window, an accurate description of the data. That is what made it powerful, and what made its reversal so awkward.

How scaling broke it

The break came from Ethereum solving its most famous problem, and the irony is total.

Ethereum’s scaling strategy is to push transactions off the expensive base layer and onto layer-2 rollups, networks like Arbitrum, Optimism, and Base that process transactions cheaply and then post compressed data back to Ethereum for security. The base layer becomes a settlement and data-availability layer; the rollups handle the actual activity. This is the roadmap Ethereum has pursued for years, and it works.

The March 2024 Dencun upgrade was the pivotal moment. It introduced EIP-4844, “blob” transactions, a separate and far cheaper data channel for rollups to post their data. Costs for layer 2s dropped by a factor of 10 to 100. Activity that used to happen on mainnet, paying mainnet fees and burning mainnet ETH, moved to rollups paying blob fees that were, in practice, close to zero because blob space was massively oversupplied relative to demand.

The effect on the burn was immediate and severe. Before Dencun, Ethereum burned thousands of ETH per day during busy periods. After Dencun, daily burn dropped to as low as 50 to 70 ETH. The base layer had lost its primary fee source. With issuance running around 1,700 ETH per day and burn collapsing well below that, the equation flipped: Ethereum began creating more ETH than it destroyed. By various measures across 2025 and into 2026, net annual inflation ran somewhere between roughly 0.2% and 0.8%, depending on the window. ETH supply crossed back above its Merge-era level. The deflation was over.

The mechanism that made ultrasound money true, EIP-1559 burning at scale, had not been removed. It had been bypassed. The activity simply moved to a layer where the burn does not happen in any meaningful amount. Ethereum scaled successfully and, in doing so, severed the link between usage and scarcity that the entire thesis depended on.

The bull case: it still works, just differently

The response from Ethereum’s defenders is not denial. It is reframing, and parts of it are genuinely strong.

The first point is that elastic scarcity is the actual feature, not permanent deflation. Ethereum was never designed to deflate forever at a fixed rate. It was designed to burn in proportion to demand, which means it becomes deflationary when the network is busy and mildly inflationary when it is quiet. During periods of high mainnet activity, above roughly 16 gwei average gas, burn still exceeds issuance, and ETH still goes net deflationary, temporarily. The mechanism works exactly as designed; it is just that a scaled network spends more time in the quiet regime. In this reading, ultrasound money was always conditional, and the condition is demand, not a promise.

The second point is that issuance is still radically lower than before. Even mildly inflationary, Ethereum issues roughly 90% less ETH than it did under proof-of-work. Compared to Bitcoin, which currently inflates at around 0.8% annually on a fixed schedule, Ethereum’s roughly 0.2% net inflation in calmer periods is actually lower. Both assets inflate in 2026; Ethereum, by some measures, inflates less. The “harder than Bitcoin” claim survives in a narrow, technical form even without net deflation.

The third point is that the supply figure overstates the sell pressure. Roughly 28% to 30% of all ETH is locked in staking, earning yield and not circulating. The tradeable float, ETH actually available on exchanges, is meaningfully smaller than the headline supply number, and it shrinks as more ETH is staked. A modestly inflating total supply with a large and growing staked portion is a very different pressure than the raw inflation number suggests. Demand from ETFs, treasury companies, and staking can absorb 0.2% inflation without difficulty.

And the fourth point is simply that the store-of-value case never rested on deflation alone. As long as demand for Ethereum’s blockspace, its role as settlement for stablecoins, tokenization, and DeFi, grows faster than supply, price can rise regardless of whether supply ticks up 0.2% a year. Scarcity was a nice story. Utility is the real thesis.

The bear case: the narrative was load-bearing

The skeptical reading is that the ultrasound story was not just marketing, that it was doing real work in the investment case, and that losing it matters more than the reframing admits.

The blunt version comes from the on-chain data and the people watching it leave. Daily network fee revenue on Ethereum fell from near $40 million in early 2025 to a local low around $10 million in 2026. That is not just a burn problem; it is a value-accrual problem. If the base layer captures little fee revenue because activity happens on rollups that pay it almost nothing, then holding ETH is a bet on an asset whose own network is monetizing its users poorly. Some analyses have tied this directly to developer attrition and reduced whale support, framing the end of ultrasound money as the end of a period when ETH had a clean, quantifiable reason to appreciate.

The deeper problem is structural and hard to argue away: a scaled, efficient Ethereum is less deflationary than a congested, expensive one. This is the tension at the center of the whole debate. The very thing that makes Ethereum better as infrastructure, cheap transactions, more capacity, activity on fast rollups, is the thing that reduces the burn. Ethereum cannot simultaneously be the cheap, high-throughput settlement layer it wants to be and the fee-burning deflationary asset the ultrasound thesis needed. Those are in direct conflict, and the roadmap chose scaling. The asset thesis was, in a real sense, sacrificed to the technology roadmap.

Then there is the value-capture question that rollups sharpen. Layer 2s use Ethereum for security and pay it a pittance for the privilege. Robinhood’s own chain is an example: analyses of corporate L2s show the base layer capturing a rounding error of the economics while providing the security that makes the whole arrangement credible. If Ethereum’s future is thousands of rollups settling to it cheaply, then Ethereum is providing enormous value and capturing little of it, and no amount of narrative reframing fixes a value-capture problem that lives in the fee structure.

The fix nobody is talking about

Which brings us to December 2025, and the upgrade that was designed, in part, to address exactly this, and that most of the market ignored.

The Fusaka upgrade activated on December 3, 2025. Its headline features were about scaling further, PeerDAS and expanded blob capacity. But buried in it was EIP-7918, the “blob base fee bound,” which is the most direct attempt yet to repair the burn. The problem Dencun created was that blob fees could collapse to near-zero, one wei, when execution costs dominated and blob demand was soft, which meant rollups consumed Ethereum’s capacity almost for free and burned almost nothing. EIP-7918 sets a floor: it ties the minimum blob fee to the execution base fee, roughly the execution base fee divided by 16, so that even in quiet periods rollups pay a meaningful minimum, and a minimum stream of ETH gets burned.

The modeling is striking. Fidelity Digital Assets analyzed what would have happened if EIP-7918 had been active since blobs launched, and found that on 93% of days since the 2024 Dencun upgrade, the adjusted fee would have exceeded the actual fee, generating an estimated additional $78.6 million, roughly 24,641 ETH, in cumulative blob-fee revenue. Blockworks noted that had the mechanism been introduced in June 2025, burnt blob fees would have been nearly 8x higher. The intent is explicit: restore a floor under the burn so that as stablecoins, DeFi, and tokenization migrate to rollups, ETH still captures value from that activity instead of subsidizing it.

The honest caveat is that this is a floor, not a restoration. EIP-7918 prevents the burn from collapsing to zero; it does not recreate the thousands-of-ETH-per-day burn of the congested mainnet era. Whether it produces measurable, sustained deflation depends on how much activity flows through blobs and how high execution base fees run, and the market is still watching. It is a serious, well-designed attempt to reconnect usage and scarcity. It is not a return to 2022.

Sound money versus ultrasound money, honestly compared

Because the entire thesis was built as a shot at Bitcoin, it is worth putting the two monetary models side by side without the tribalism, since the comparison is more interesting than either camp admits.

Bitcoin offers fixed scarcity. The supply schedule is written into the protocol, capped at 21 million coins, and halves on a predictable timetable roughly every four years. A holder knows today, with certainty, what Bitcoin’s issuance will be in 2030 and 2040. That certainty is the entire product. Bitcoin does not react to demand, does not burn, does not adjust; it simply issues on schedule toward a hard cap, and its current inflation runs around 0.8% annually, trending toward zero over decades. The trade-off Bitcoin holders accept is that the base layer offers little native utility and no yield. You hold it for the certainty, and you give up productivity in exchange.

Ethereum offered, and to a degree still offers, elastic scarcity. Supply responds to network demand: high usage burns more and can push ETH net deflationary; low usage burns less and lets mild inflation through. The appeal was a token that becomes scarcer precisely when it is most used, tying the asset’s scarcity to the network’s success. The trade-off, which the L2 era exposed, is that elasticity cuts both ways.

A demand-responsive supply is only deflationary when demand is high on the layer that burns, and Ethereum deliberately moved demand to layers that do not burn. Bitcoin’s rigidity, often criticized as inflexible, turned out to be the thing that made its monetary promise keepable. Ethereum’s flexibility, often praised as sophisticated, turned out to be the thing that made its monetary promise conditional.

Robinhood Chain launched, filled with memecoins, briefly ranked third among DEXs, and the “Solana killer” talk started immediately. Then you look at the actual numbers. Solana has 27 times the value locked and 2 million more users. This is not a flippening. It is a fair fight over the wrong metric.

Within days of Robinhood Chain going live, the comparison wrote itself. A memecoin frenzy sent the chain’s DEX volume past $3 billion in a week; it briefly cracked the top three networks by daily DEX volume, and crypto Twitter did what crypto Twitter does: it declared a Solana killer.

The parallel was tidy. Solana also grew through a memecoin boom, so surely Robinhood was running the same playbook toward the same destination. Then you pull the actual data, and the tidy story falls apart. Solana has roughly 27 times Robinhood Chain’s value locked and millions more users.

The one metric where Robinhood looked competitive, raw volume, is the flimsiest number on the board. This piece is about whether Robinhood Chain can flip Solana, and the short answer is no, not close, and the more interesting answer is that flipping Solana was never the right frame.

The scoreboard

Start with the numbers, because the numbers settle most of the argument before it starts.

Solana, as of mid-July 2026, carries around $4.93 billion in total value locked, does roughly $1.91 billion in daily DEX volume, has more than 2 million active addresses, and generates about $3 million in daily application revenue. These are the metrics of a mature, heavily used layer-1 with a deep DeFi ecosystem, years of accumulated liquidity, and a large, sticky user base.

Robinhood Chain, roughly 2 weeks after launch, sits at around $185 million in value locked, having posted more than $3 billion in DEX volume across its first week. Depending on the day and the source, its TVL has been quoted between $185 million and $312 million, with the higher figure heavy on stablecoin deposits. Active addresses are counted in the hundreds of thousands cumulatively, not the millions active.

There is $1.6 trillion in Bitcoin sitting idle, earning nothing, doing nothing. Charles Hoskinson has a plan to put it to work on Cardano, and the plan quietly requires every transaction to burn a little ADA. Whether that saves Cardano or exposes its central problem is the whole question.

Cardano has a problem it has had for years, and it is not a technology problem. ADA trades around 94% below its 2021 high, the network’s DeFi activity has long lagged its ambitions, and its founder spends a meaningful share of his time denying rumors that he is quitting. What Cardano has never lacked is engineering and ideas.

What it has lacked is a reason for capital to show up. Charles Hoskinson’s answer, laid out across 2026, is audacious: stop trying to attract crypto capital to Cardano and go get Bitcoin’s instead. There is roughly $1.6 trillion in Bitcoin sitting idle in wallets, earning nothing, and Hoskinson wants to route a slice of it through Cardano’s infrastructure, with every transaction quietly paying fees in ADA. It is the most concrete demand thesis Cardano has produced in years. It also contains a contradiction its own community has already spotted.

The idle-Bitcoin thesis

The premise starts with a real and large number. Something on the order of $1.6 trillion in Bitcoin sits in wallets doing nothing productive. Bitcoin is superb as a store of value and poor as a financial instrument: it does not natively lend, earn yield, or plug into decentralized finance without wrapping, bridging, or handing custody to an intermediary. That gap, enormous dormant capital with no native way to work, is what every “Bitcoin DeFi” project is chasing, and Hoskinson has decided Cardano should chase it hard.

His framing, delivered publicly in May 2026 and reiterated through the year, is that Bitcoin holders would be able to access lending, yield, and privacy tools through Cardano without surrendering control of their assets. A dedicated team, described at various points as around 19 people, is building it. The pitch to Bitcoin holders is straightforward: keep your Bitcoin, but make it productive, through infrastructure that does not require you to trust a centralized custodian.

The pitch to Cardano holders is different and more important to the ADA investment case. Hoskinson has been explicit that the entire system runs on ADA underneath. In his own words, every single transaction requires ADA to happen; the Bitcoin user pays a fee in ADA but does not see it. The idea is to make ADA the invisible fuel of a Bitcoin-DeFi economy, generating persistent, usage-based demand for the token regardless of whether anyone is speculating on ADA itself. For a token whose central weakness has been the absence of a demand driver, that is the whole game.

What Pogun actually is

Pogun is the platform that operationalizes the thesis, and its structure is more concrete than Cardano’s roadmaps usually are.

It rolls out in three phases across 2026. The first, targeted for the second quarter, is a non-margin credit market: lending against Bitcoin without the liquidation-cascade risk that leveraged lending carries. The second, targeted for the third quarter, is a yield-focused application that lets Bitcoin holders earn returns.

The third, targeted for the fourth quarter, is a BitVM-powered bridge, a trust-minimized way to move Bitcoin onto Cardano infrastructure without the custodial risk that has plagued wrapped-Bitcoin products. Input Output Group sought treasury funding for the effort, with figures around 12.3 million ADA cited, as part of a larger proposal slate that also funded the Leios scaling upgrade.

The architecture leans on two Cardano-specific pieces. The first is Midnight, Cardano’s privacy-focused partner chain, which launched its mainnet in early 2026 and serves as the confidential coordination layer, letting Bitcoin holders use DeFi tools without exposing their positions publicly. Hoskinson has framed Midnight as proof of Cardano’s partner-chain model, specialized chains operating alongside the main network while drawing on its security.

The second is Cardano’s EUTXO accounting model, which shares design lineage with Bitcoin’s own UTxO model. That shared lineage is not incidental; it is part of the technical argument that Cardano is a more natural home for Bitcoin DeFi than account-based chains like Ethereum, because the two systems think about transactions in a similar way.

The sequencing is deliberate. The team has described building the credit market and liquidity first, so that by the time the consumer-facing products launch, there is already a functioning market underneath them instead of an empty shell waiting for users.

The bull case

The strongest version of this argument is that Cardano has finally identified the right target and built a credible, differentiated way to reach it.

The demand mechanism is genuinely elegant. Cardano’s problem was never capability; it was that ADA had no structural reason to be in demand beyond speculation and staking. Embedding ADA as the mandatory fee layer of a Bitcoin-DeFi economy creates exactly the kind of usage-based demand that speculation cannot provide, and that does not evaporate when sentiment turns. If Bitcoin DeFi on Cardano generates real volume, ADA demand rises mechanically with it, transaction by transaction, whether or not anyone is bullish on ADA as a trade. That is a far healthier demand base than the memecoin-and-narrative cycles driving other chains.

The target is also the right one. Every serious chain is chasing Bitcoin DeFi because the prize, a fraction of $1.6 trillion in dormant capital, is the largest untapped pool in crypto. Cardano bringing brokerage-grade patience, a privacy layer, and UTxO compatibility to that chase is a real differentiator against the wrapped-Bitcoin approaches that have dominated and repeatedly failed on custody and trust. A BitVM bridge that reduces custodial risk addresses the exact failure mode, hacked or insolvent custodians, that has burned wrapped-Bitcoin users before.

And it fits Cardano’s identity rather than betraying it. Cardano’s whole brand is methodical, research-driven, security-first engineering, often criticized as too slow. Bitcoin holders are, as a group, the most conservative and security-conscious in crypto. A careful, peer-reviewed, custody-minimizing approach to Bitcoin DeFi is arguably better matched to Bitcoin holders than the move-fast culture of other DeFi ecosystems. For once, Cardano’s slowness could be a feature aimed at exactly the audience that values it.

The bear case

The skeptical case starts with a question a Cardano community member asked Hoskinson directly, and it is devastating in its simplicity: what would be the point of holding ADA over Bitcoin? Are we building against our own core token?

The concern is real and structural. If the system is designed so that Bitcoin users pay fees in ADA without seeing it, then the design goal is explicitly to make ADA invisible. A Bitcoin holder using Pogun holds Bitcoin, earns yield in Bitcoin, and never needs to acquire, hold, or think about ADA. The fees are abstracted away. If ADA is successfully hidden from the user, then ADA is a backend utility token that the end user has no reason to hold as an investment, which means the demand is limited to whatever float the protocols need to operate, not the broad holder demand that supports a token’s price.

Making ADA the invisible plumbing is good for usage and potentially bad for ADA as an asset people want to own. Hoskinson’s answer, that transactions require ADA regardless, addresses mechanical demand but not the deeper question of why anyone holds ADA rather than the Bitcoin it is helping to mobilize.

The second problem is execution and timeline. Cardano has a long history of ambitious roadmaps that arrive late or underdeliver relative to the promise. Pogun’s phases are targeted across 2026, and Cardano’s governance has been visibly deadlocked, with treasury votes for exactly this kind of initiative facing friction and Hoskinson warning that rejecting research funding could drive engineers away. A plan that depends on multiple new components, Midnight, the BitVM bridge, the credit and yield layers, all shipping and integrating on schedule, is a plan with substantial execution risk in an ecosystem that has struggled to convert roadmap into adoption before.

The third problem is competition. Cardano is not alone in chasing Bitcoin DeFi; it is late to a crowded race. Bitcoin layer-2s, wrapped-Bitcoin protocols on Ethereum, and Bitcoin-native DeFi efforts are all pursuing the same idle capital, several with more liquidity, more developers, and more existing integrations than Cardano has managed to attract. Cardano’s DeFi TVL has sat around $1.1 billion at times, a fraction of Ethereum’s or Solana’s, which raises the question of why Bitcoin holders would route their capital through the ecosystem that has struggled most to attract capital in the first place. Being a natural technical home for Bitcoin DeFi does not help if the liquidity and developers are elsewhere.

The token question at the center

Everything about this plan comes back to one unresolved tension, and it is worth stating plainly because it is the crux of whether Pogun helps ADA or merely helps Bitcoin.

Cardano is trying to solve its demand problem by making ADA essential but invisible. Those two properties are in tension. Essential means every transaction needs ADA, which creates mechanical demand proportional to usage. Invisible means users never consciously hold or value ADA, which suppresses the discretionary demand that actually drives a token’s price above its pure utility floor. A token that is essential-but-invisible tends to trade at its utility value, the minimum float the system needs to function, rather than at the premium that comes from people wanting to own it. Ethereum resolved this tension by making ETH visible and desirable as an asset in its own right, through staking, through the ultrasound narrative, through being the reserve asset of its own economy. Cardano’s Pogun design points the other way, toward ADA as backend infrastructure.

The optimistic resolution is that sufficient usage makes even utility-value demand large. If Bitcoin DeFi on Cardano processes enormous volume, the mechanical ADA demand could be substantial even if no one holds ADA for love of it. The pessimistic resolution is that Cardano will have built a successful piece of Bitcoin infrastructure whose value accrues to Bitcoin holders and Pogun’s operators, while ADA captures only the thin utility margin, which is not the outcome ADA holders are hoping for when they cheer a Bitcoin-DeFi announcement.

Which resolution wins depends on numbers that do not exist yet, because the products are still launching. The second-quarter credit market and third-quarter yield app are the first real tests. If they generate meaningful Bitcoin volume and ADA demand rises visibly with it, the thesis has legs. If they launch quietly into the same low-liquidity environment that has characterized Cardano DeFi, then Pogun becomes another well-engineered Cardano initiative that did not move the token, and the community member’s question, why hold ADA over Bitcoin, will have answered itself.

Why Cardano needs this to work

To understand why Hoskinson is betting so heavily on Bitcoin DeFi, you have to understand how much pressure Cardano is under, because Pogun is not an opportunistic add-on. It is a response to an existential question the market keeps asking.

The pressure is visible in the numbers and the noise around them. ADA trades roughly 94% below its 2021 high, deep in the ranks of large-cap tokens that led the previous cycle and never recovered. Cardano’s DeFi total value locked, around $1.1 billion at times, is a fraction of Ethereum’s or Solana’s despite Cardano having been live since 2017 and commanding one of the most committed communities in crypto. Hoskinson has spent 2026 denying rumors that he is leaving the project and calling them fiction, which is not a thing founders of thriving networks typically have to do. And the governance apparatus, the CIP-1694 on-chain system Cardano is genuinely proud of, has been deadlocked over treasury proposals, with Hoskinson warning that rejecting research funding could push engineers out.

Underneath all of it is a criticism Hoskinson himself has accepted in his own framing: Cardano’s problem is not technology. He has said explicitly that it is not a node problem, not a problem of imagination, not a problem of execution capability, but a problem of governance, coordination, and ultimately getting capital and users to show up. That is a striking admission from a founder, and it reframes Pogun. Bitcoin DeFi is not just a product; it is Hoskinson’s answer to the accusation that Cardano builds impressive technology that nobody uses. If he can route Bitcoin’s enormous, idle capital base through Cardano, he solves the adoption problem and the demand problem at once, and he does it without needing to win the crypto-native DeFi users who have consistently chosen other chains.

That is why the stakes are higher than a normal roadmap item. Cardano has tried narratives before: smart contracts, then DeFi, then real-world assets, and none produced the adoption inflection the community keeps waiting for. Bitcoin DeFi is the biggest swing yet, aimed at the biggest target, and it arrives at a moment when patience with the slow-and-steady thesis is visibly thinning. If Pogun works, it vindicates the entire methodical approach. If it lands quietly like its predecessors, it will be much harder to argue that the next initiative will be different. Hoskinson has effectively staked the credibility of Cardano’s whole strategy on reaching an audience that has never been Cardano’s, which is either the boldest possible move or a sign of how few options remain.

What to watch

Three concrete markers will tell you which way this breaks.

The first is whether the Pogun phases actually ship on their 2026 timeline. The credit market was targeted for the second quarter and the yield app for the third; slippage on those dates, in an ecosystem already criticized for slow delivery, would be an early negative signal. Shipping on time, with working products, would be a genuine and somewhat unexpected positive given Cardano’s track record.

The second is Bitcoin volume through the system, not ADA price. The entire thesis rests on attracting idle Bitcoin, so the metric that matters is how much Bitcoin actually flows into Pogun’s credit and yield products once they are live. ADA price will be noisy and driven by the broader market; Bitcoin TVL on Cardano is the clean read on whether the idle-Bitcoin thesis is working.

The third is whether ADA demand becomes visible in the data as usage grows. This is the crux question made measurable. If Bitcoin volume rises and on-chain ADA demand rises with it in a legible way, the essential-and-invisible design is working as a demand driver. If Bitcoin volume rises and ADA does nothing, then the community’s fear was correct, and Cardano will have built valuable infrastructure for someone else’s asset. Hoskinson has made the boldest, most concrete bet of Cardano’s recent history. The next two quarters start to settle whether it was aimed at the right target or against his own token.

Frequently Asked Questions

Disclaimer: This article is for information and educational purposes only and does not constitute financial or investment advice. It describes a development roadmap whose components are still launching and whose outcomes are uncertain. Nothing here is a recommendation to buy or sell any asset. Always do your own research. Information is accurate as of July 17, 2026.

The network that moves the world’s money spent 9 months building a blockchain, and the most important decision it made was what not to put on it. No stablecoins. No public tokens. Just bank deposits, wearing a new coat.

For 53 years, SWIFT has done exactly one thing: move messages. When a bank in Singapore pays a bank in Sao Paulo, SWIFT carries the instruction, not the money. It is the postal service of global finance, and it never once opened the envelope.

On July 9, 2026, that changed. SWIFT switched on a blockchain-based shared ledger with 17 of the world’s largest banks, and for the first time in its history it is coordinating the movement of value rather than just the messages about it. The financial press covered the launch as a technology story, which it is.

The more important story is a choice buried inside it: SWIFT built this thing to carry tokenized deposits and pointedly not stablecoins, and that single decision is a statement about who the banking system intends to let issue digital money. This piece is about that choice, why it matters, and who it leaves out.

What SWIFT actually launched

The facts first, because they are concrete and verified across SWIFT’s own release and independent reporting.

On July 9, SWIFT announced its blockchain-based shared ledger was ready for initial use, with 17 banks across 6 continents preparing to pilot live transactions. The roster reads like a directory of global banking: ANZ, BNP Paribas, BNY, Citi, DBS, First Abu Dhabi Bank, FirstRand, HSBC, Itau Unibanco, Lloyds, Mashreq, MUFG, OCBC, Standard Chartered, UBS, UOB, and Wells Fargo. The system was built in 9 months from announcement to production readiness, developed with input from financial institutions globally and, per multiple reports, with Consensys involved in the build.

Technically, the ledger uses an EVM-compatible architecture based on Hyperledger Besu, functioning as a shared orchestration layer that validates inter-bank payment commitments while preserving existing compliance, credit, risk, and control standards. Its purpose is specific and narrow: enable 24/7 cross-border payments, including overnight and on weekends, that current infrastructure cannot support because it depends on overlapping business hours between sender and receiver. Final settlement still occurs through existing payment rails. The ledger does not replace correspondent banking; it coordinates on top of it.

SWIFT’s chief business officer framed the move as extending the trust and stability of incumbent finance into the frontiers of digital money. That sentence is corporate, but it is also precise. The whole design is about carrying something old, bank money, on something new, a shared ledger, without letting go of the controls that make bank money what it is.

The choice that defines it

Here is the decision that matters more than the technology, and that most launch coverage mentioned only in passing: SWIFT built this for tokenized deposits, not stablecoins.

A tokenized deposit is a digital representation of money held in a regulated commercial bank, issued by that bank on a blockchain, maintaining a one-to-one relationship with the deposit on the bank’s balance sheet. It is commercial bank money with a new wrapper. A stablecoin is a token pegged to a currency and issued by a non-bank entity, backed by reserves such as Treasury bills that sit outside the banking system, and it operates on public blockchains accessible to anyone with a wallet.

They look almost identical. A dollar-denominated stablecoin and a tokenized dollar deposit both claim to be worth $1, both move on a blockchain, both settle in seconds. The New York Fed, in a February 2026 staff report, drew the structural line that the surface similarity hides: stablecoins intermediate safe assets into a medium of exchange, while tokenized deposits allow banks to keep funding loans and supporting credit creation, just on digital rails. That is not a technical distinction. It is a distinction about who gets to create money and what happens to the banking system if the answer changes.

SWIFT chose the instrument that keeps banks in the center. Its stated position is that bank-issued tokenized deposits offer a compliance-ready alternative within existing regulatory frameworks, without the risks some institutions associate with non-bank stablecoins. In plainer terms: SWIFT built a blockchain that does what stablecoins do, on rails the banks already control, so that the banks do not have to adopt an instrument that cuts them out.

Why banks care so much about the difference

The reason this choice carries such weight is that stablecoins and tokenized deposits do opposite things to a bank’s balance sheet, and therefore to the banking system’s capacity to lend.

When a customer buys a stablecoin, they move fiat out of their bank account and into the issuer’s reserves. That money leaves the bank. It now sits in Treasury bills or a custodial account backing the token, where it does nothing for credit creation. Multiply that across a $315 billion sector, and you get a measurable drain: deposits leaving banks reduce the money multiplier, the mechanism by which $1 of deposits supports several dollars of lending. Stablecoins, in the language of one industry analysis, remove liquidity from the banking system.

Tokenized deposits do the reverse. The money stays on the bank’s balance sheet, still counted as a deposit, still available to fund loans and investment. The token is just a more mobile representation of it. So a bank that issues tokenized deposits keeps the funding it would lose to a stablecoin, while offering customers the same 24/7 programmable settlement. From the bank’s perspective, that is the entire game: match the stablecoin’s user experience without surrendering the deposit base that the lending business depends on.

There is a safety dimension too, and it is not merely marketing. Tokenized deposits are backed by a bank’s capital and the supervisory framework that governs commercial banks; they carry deposit insurance up to the statutory limit, and the issuing bank can borrow from the Federal Reserve’s lender-of-last-resort window, which reduces run risk. Stablecoins have none of that. Under the GENIUS Act, they must hold full reserves and disclose them, which is real protection, but a stablecoin holder is not an insured depositor, and there is no central bank standing behind the token. The 2008 money-market-fund parallel is apt: instruments that look like deposits and are treated like deposits right up until one breaks the buck and reveals it was never a deposit at all.

The bull case for SWIFT’s approach

The optimistic reading is that SWIFT has done the sober, correct thing, and that its distribution makes it the most credible entrant in the entire tokenized-money contest.

The reach argument is genuinely hard to counter. SWIFT connects more than 11,000 financial institutions across over 200 countries. No stablecoin issuer, no crypto-native payment network, and no single bank consortium can match that footprint. If the pilot works across 17 banks and multiple currency corridors, the marginal cost for the next institution to join is low, because it is already on SWIFT. That is a distribution advantage measured in decades of accumulated network membership, and distribution is what actually decides payment standards.

Jan said many Binance employees, including himself, already keep most of their assets on the exchange. “I could make payments, I could use my debit card to spend whatever I need wherever I want,” he said.

Lines are blurring

Eneko Knorr, co-founder and CEO of Dubai-based stablecoin company Stabolut, said the line between banks and crypto companies is becoming harder to see.

“Today, you see regular banks offering crypto, and crypto platforms offering real bank accounts and normal banking services,” Knorr told CoinDesk. “Of course, the world still runs on regular money, so we all have to make a standard bank transfer to pay rent or the utility bills.”

Knorr said younger customers may choose an app that combines stablecoins with daily banking services.

Rohan Misra, head of the Gulf Cooperation Council region and CEO of AMINA Bank ADGM, said stablecoins are increasingly used for payments and settlement but still need regulated banking infrastructure.

“The wallet alone isn’t the bank account,” Misra said. “The regulated infrastructure around it is.”

Misra also questioned whether self-custody, where users control their private keys, would become the default.

“Self-custody means if someone accesses your private key, your assets are gone with no recourse, no recovery and no insurance,” he said. “That’s cash under a mattress.”

Supporters of BIP-110 view Bitcoin as a public utility whose scarce block space should be reserved primarily for monetary settlement. Inscriptions and other data-heavy applications represent consumption of a limited resource that should be protected for financial transactions, even if doing so requires introducing new consensus rules.

DOG Mode starts from the opposite premise.

Leonidas argued Bitcoin should remain a neutral marketplace for block space, where any valid transaction is equally legitimate provided the sender pays the prevailing fee. From that perspective, there is no objective distinction between a bitcoin payment and an Ordinals inscription.

Rather than seeking permission through a protocol upgrade, the intention for DOG Mode is to remove policy restrictions that its supporters argue Bitcoin itself never required.

The proposal also raises a more subtle question about Bitcoin’s infrastructure.

If enough nodes begin running different policy software, the network’s mempool — the collection of unconfirmed transactions waiting to be mined — could become increasingly fragmented. Consensus would remain intact, but different parts of the network could relay different transactions, affecting fee estimation and how quickly some transactions reach miners.

That fragmentation already exists to a degree, but DOG Mode could widen those differences by encouraging broader acceptance of transactions that many default nodes currently refuse to relay.