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Who Keeps the Value Blockchain Creates?

Blockchain could become one of the most consequential financial technologies of the decade without producing a corresponding generation of dominant, highly profitable blockchain companies. That is not a contradiction. A technology can lower costs, shorten settlement, and make a market more accessible while much of the resulting value flows to customers, established financial institutions, or competitors, not to the company or token that made the technology possible.

Three separate propositions must not be conflated. First, particular blockchain functions may become less differentiated as competing networks and vendors offer similar capabilities. Second, firms operating within blockchain markets may still build durable moats through distribution, liquidity, compliance, switching costs or integration. Third, even a firm with a genuine moat may be an unattractive investment at an excessive price. Evidence for the first proposition does not establish the second or third. The analysis that follows asks where advantages form, how reliably their owners retain the benefits, and how investors can assess the claims without treating every network or token as an operating company.

The tension is increasingly visible. Stablecoins can transfer dollars outside normal banking hours. Financial institutions process substantial volumes of securities financing on shared ledgers. Banks are placing deposit claims on digital networks, and large payment companies are adding blockchain functions to products used by millions of customers. Yet it remains surprisingly difficult to identify the owner of a defensible economic tollbooth. Blockchain transaction costs can fall, competing networks can reproduce popular functions, and the institutions that already control the customers often retain much of the money.

The central investment question is not whether blockchain works. It is whether its success creates pricing power, and who gets to keep that power.

The most credible potential moats are not always embedded in the code. They often sit in customer distribution, legal permissions, liquidity, integrated financial workflows, trusted custody, or underwriting and risk data. Some public networks may also accumulate powerful network effects. But no competitive advantage should be inferred merely from a fast chain, a large token supply, a major partnership, or a claim that trillions of dollars have moved through a ledger.

The distinction matters to security selection. A business can win more customers while its equity becomes less attractive because margins deteriorate or the valuation was excessive. A digital token can rise while generating little recurring cash flow. An incumbent can profit from blockchain adoption without requiring its customers to hold any cryptocurrency. The industry’s future can be promising while a particular investment is not.

One compelling interpretation is that blockchain functions are becoming progressively more accessible and, in selected markets, less differentiated. As a result, companies that already control distribution, regulatory relationships, liquidity, security, settlement and customers’ daily workflows may be better positioned to retain profits than firms supplying the underlying technology. Some of the more durable commercial opportunities could lie at the interfaces between blockchain and established finance, not exclusively among standalone chains and token issuers.

There is an important counterargument. Bitcoin has a distinctive monetary network; Ethereum and other public chains have developer and liquidity ecosystems; and certain decentralized exchanges may develop powerful marketplace effects. Such networks can establish competitive advantages that are difficult to replicate, particularly when they retain users and liquidity without subsidies. The question is whether those advantages become lasting fees or other benefits for investors. Established financial firms are not guaranteed to win, just as technically successful blockchains are not guaranteed to capture profits.

The question recurs across stablecoin payments, bank deposits, tokenized investments, public networks, exchanges and financial technology: who captures the economics once competitors enter? The evidence points in different directions across these markets, making both the case for established financial firms and the potential for blockchain-native winners worth examining.

More Activity Does Not Necessarily Mean More Profit

One of the strongest pieces of evidence for genuine utility is that blockchain usage and cryptocurrency prices have stopped moving in lockstep. Chainalysis^[3] estimated that aggregate cryptocurrency market value fell about 50% during the twelve months ended June 2026, while its measure of on-chain economic activity declined only 1.6%, to approximately $9.4 trillion. The activity estimate combines several kinds of flows and has methodological limits; it is not a measure of corporate revenue or profit. Still, it suggests that some people continue using the infrastructure even when speculative asset prices fall.

Stablecoins offer a sharper example. These are digital tokens intended to maintain a reference value, usually one U.S. dollar, and backed, in some designs, by cash and short-term securities. Their usefulness is straightforward: a dollar-denominated claim can move between eligible parties at night, on weekends, and across networks without waiting for every conventional banking system to open. But the movement of a token does not tell us whether anyone bought something, how much a payment provider charged, or which firm kept the fee.

Allium's October 2026 report^[1] estimates $97.9 trillion in raw stablecoin transfers from January through September 2026. After removing identified exchange, decentralized-finance, infrastructure, automated and issuance-related movements, its adjusted measure of end-user transfers was $2.4 trillion. Of that, $482 billion was classified as payments across approximately 1.04 billion transactions, averaging about $462 each. The screening and classification rules differ from those in Allium's earlier eight-month report, so the old and new adjusted volumes should not be spliced together as though they form one consistent series.

The stronger contrast is between use and the amount of stablecoins outstanding. Allium reported identified payment value growing 45% in its comparison while supply ended September at $305 billion, just 0.4% above the start of 2026.^[1] At the same time, the market value of outstanding stablecoins was roughly $300 billion in late October. Growth in actual payment use need not produce rising token supply, and neither number is the revenue of the companies handling those payments.

FIGURE 2

Stablecoin Transfers Compared With Identified Payments

Allium Q3 2026, January through September

Raw transfers

$97.9T

All recorded stablecoin movements, including internal flows

↓

Adjusted volume

$2.4T

End-user transfers remaining after Allium's updated screens

↓

Identified payments

$482B

About 1.04 billion transactions classified as payments

Approximately 0.49% of raw transfer value was classified as payments.

A company could move the same $1 million between its own wallets ten times and then pay a supplier $100,000. The blockchain would record more than $10 million of transfers, while the identifiable commercial payment would be $100,000. The issuer might earn interest on reserves; an intermediary might earn a small processing or currency-conversion fee. Neither earns the total transfer volume. This is why market sizing based on raw transactions can produce an extraordinary headline without an investable revenue estimate.

The more economically useful comparison is with conventional payment systems. FXC Intelligence and Allium^[2] estimated that stablecoins represented about $135 billion of $44.3 trillion in non-wholesale cross-border payments during 2025, just 0.31% of the market under their methodology, albeit growing 64% year over year against 9% for conventional rails. That is simultaneously evidence of a real product and of how little share it has yet captured. There may be a large addressable problem, but the market can grow while fees compress or profits move elsewhere.

Sources: Allium^[1], FXC Intelligence and Allium^[2], Circle^[4]. Supply, transfers, payments and corporate income measure different populations and periods. They are not additive.

The practical lesson is to model a transaction at the level of actual customer spending. How many distinct customers pay repeatedly? What service would they otherwise use? What is the all-in price after currency conversion, bank access, compliance and fraud costs? Can the provider defend that price when a bank, payment network or open-source rival offers a similar experience? A huge token-transfer number cannot answer any of these questions.

Where Durable Competitive Advantage Can Form

A competitive moat is an advantage that allows a company to retain customers and attractive economic returns even after competitors recognize the opportunity. It is not simply being first, having superior engineers, receiving regulatory permission, or showing a large technical benchmark. Those attributes may be valuable, but they become a moat only when imitation or customer switching is difficult enough to preserve profitability.

A missing protocol moat is not a missing business moat. Standardized settlement functionality can coexist with highly differentiated customer businesses, just as widely available computing technology coexists with profitable cloud platforms. The relevant empirical comparison is not blockchain versus no blockchain; it is the economics of issuers, distributors, exchanges, custodians, platforms and public networks serving similar customer needs. A reduction in a technical fee is evidence of competitive pressure at that layer, not proof that the entire value chain has lost pricing power.

Blockchain creates an unusual problem for investors. A great deal of its technology is open, designed to interoperate, and intended to make financial transactions cheaper. Those are features from the customer’s perspective. From the supplier’s perspective, they can also make it harder to maintain high prices. If several technically capable networks can execute the same payment for pennies, the durable economics may sit with whoever brings in the merchant, handles fraud, converts the tokens into local bank money, or carries legal responsibility for repayment.

FIGURE 3

The Potential Sources of Competitive Advantage

Distribution. A payment company or banking platform with deep merchant integration can introduce a new settlement rail without asking customers to change their habits. Customers may never know which ledger is being used. A chain without distribution may be technologically excellent but forced to subsidize adoption.

Regulatory trust. Banking, custody and securities infrastructure require operational controls, licensing, supervision and enforceable rights. These can slow entry and create advantages for trusted providers. But regulation also creates rules under which additional competitors can receive approval. A licence is permission to compete, not a guarantee of market power.

Liquidity. Investors trade where other buyers and sellers are already active. A market with tight spreads, deep order books and reliable collateral can be difficult to displace even if a competing exchange has better software. Liquidity, however, can move rapidly when incentives or leverage conditions change.

Workflow integration. The hardest systems to replace are often the ones that already reconcile many parties’ financial books, connect to risk controls, and satisfy customers’ audit requirements. The cost of migrating a bank’s settlement workflow is usually greater than changing an app interface. That advantage only translates into attractive returns if the operator can charge for it.

Proprietary execution. Credit underwriting data, risk management, security practices, uptime history and specialized regulatory expertise may compound over time. The underlying ledger can be replicated, but trustworthy decisions about who receives credit or which transfers to reject cannot always be reproduced cheaply.

A useful stress test is to imagine that a competitor offers the underlying blockchain transaction at zero cost. Does the business still provide something the customer cannot easily obtain elsewhere? If the answer is a trusted redemption promise, superior liquidity, a bank relationship, secure custody, a specialized lending decision, or a deeply integrated workflow, there may be a defensible commercial position. If the answer is merely faster blocks or a familiar token ticker, the investment case is less certain.

There are also two kinds of advantage worth separating. A provider may be essential to an ecosystem yet earn little because its service is an open standard. Conversely, a firm may briefly charge high spreads without having a durable moat. Profitability today and defensibility tomorrow are different dimensions.

FIGURE 4

Technological Importance and Ability to Capture Profit

Why Customer Access Can Matter More Than Issuance

A reserve-backed stablecoin looks like a straightforward business. Customers give an issuer money; the issuer issues tokens and holds the backing assets, often including short-term government debt. The issuer can earn interest on eligible reserves while the tokenholders receive a convenient payment instrument. But stablecoin supply is only one side of the economic model. Issuers must pay for distribution, redemption access, liquidity, technology, compliance and the confidence that their tokens will reliably be worth one dollar.

Circle’s second-quarter 2026 disclosures^[4] make those trade-offs visible. The company reported approximately $701.3 million in combined revenue and reserve income: $667.7 million from reserves and $33.6 million from other sources. Against that, it reported $412.5 million of distribution, transaction and other costs, $254.5 million of operating expenses, and $34.4 million in operating income. Net income was approximately $48.2 million after other income and tax effects. The income statement should not be confused with the value of USDC transfers, which was many orders of magnitude larger.

Even more revealing, Circle's June 2026 Form 10-Q explicitly discloses $324.6 million in distribution costs related to its Coinbase agreements during the quarter.^[5] This is a component of the reported distribution and transaction costs, not a further expense on top of the total. The payment is evidence of substantial value capture by a distribution partner, not evidence that blockchain markets lack moats. Coinbase provides an important customer and platform channel for USDC, while Circle handles issuance and reserves. Whether Coinbase's bargaining position is durable requires separate evidence about switching costs, alternatives, partner terms and its ability to retain comparable economics over time. The case illustrates how the protocol, issuer and distributor can have very different competitive positions.

FIGURE 5

Circle: Reserve Income and Distribution Costs

Circle illustrates the tension between building an essential product and retaining the benefits of its success. It controls important issuance, compliance and redemption capabilities, and those may become more valuable as institutional demand grows. But its partners also control user access and therefore bargain for a meaningful portion of the economics. A stablecoin can become more widely used while the issuer’s retained margin falls. Whether Circle can offset that pressure with new software, settlement or network revenue remains a critical investment question.

The sensitivity to interest rates is another limitation. Reserve income depends on the average eligible assets held and their yield, not simply how often a user transfers the token. Lower rates can reduce gross income even if payments increase. The response may be higher supply, lower partner payouts, new revenue lines or improved efficiency; none should be assumed without evidence.

Tether represents a different form of moat. Its USDT has deep exchange liquidity and a long history of international usage. In many markets, the token is useful precisely because many other people already accept it. That is a network effect, potentially a durable competitive advantage. Its strength nevertheless differs by country, exchange and customer segment; institutional users may value different reserve transparency or legal protections. Tether's private ownership affects how outside investors can obtain exposure, not whether its network effect exists. The subsequent investment question is distinct: how much of the network's economic benefit does the issuer retain, and what terms, if any, are available to an investor?

Distributor-backed alternatives complicate the picture. Open USD and similar network designs offer to share part of the income from reserve assets with the firms that attract customers and circulating balances. Coinbase is also listed among the participating firms in Open USD's network, alongside companies including Stripe, Visa and Mastercard.^[21] This does not establish that all of these companies own the issuer or receive identical terms. It does show that a distributor central to one stablecoin can simultaneously support a rival model, increasing its potential bargaining leverage. The question for investors is who retains the customer relationship and the margin after every intermediary receives its share.

An investor examining a stablecoin issuer should therefore distinguish six measures: outstanding balance; reserve yield; partner payouts; redemption and operating costs; recurring fee-based revenue; and the value assigned by the market to future growth. That framework reveals much more than comparing raw transaction counts or the number of announced partnerships.

How Existing Financial Networks Can Benefit

The most important competitors to blockchain-native payment companies may not be other blockchain companies. They may be banks, card networks, payroll providers and software firms that already serve the people who need to move money. A merchant generally wants payment confirmation, fraud protection and access to spendable local currency, not a technical decision about which blockchain produced the transaction record.

Visa reported^[6] in its October 27, 2026 earnings call that it had more than 225 stablecoin-linked card programs, up more than 70% from a year earlier, with card-program payment volume growth above 150% across approximately five million cards in more than 50 countries. Visa also reported stablecoin settlement above a $25 billion annualized run rate, around ten times the level a year earlier. These figures cover different products and definitions. An annualized rate is not a full year of actual settlement, and none of the quoted payment volumes is the same as Visa's revenue. The important point is that Visa can integrate blockchain settlement into familiar cards, merchant acceptance and risk controls, retaining much of the customer-facing relationship.

A payment also has multiple components. A customer starts with a bank account or digital wallet; a merchant needs to receive funds it can actually spend; institutions must check identities, monitor fraud, and comply with local restrictions. Blockchain settlement may make one step cheaper while leaving other costs intact. The operator that removes the most customer friction may capture the fee, even if another provider operates the settlement network.

FIGURE 6

The Many Participants in a Digital-Dollar Payment

Banks are building an adjacent kind of money: tokenized deposits. Unlike a payment stablecoin issued by a separate company, a tokenized deposit is a representation of a commercial bank’s existing liability to its customer. That can matter for accounting, institutional credit relationships, deposit retention and the rules governing redemption. It does not mean that a token from one bank is automatically usable or safe at every other bank.

J.P. Morgan announced^[8] in October 2026 that its JPM Coin deposit token was available on Ethereum for eligible institutional clients. This is notable because the bank brought a regulated claim on bank money onto a public network without surrendering its banking relationship to the network operator. Other institutions, including Citi, have developed restricted institutional token services. These are meaningful operational efforts, not evidence that all ordinary bank customers have tokenized accounts.

Swift announced in July 2026 that its shared blockchain ledger was ready for initial use and that 17 banks were preparing live tokenized-deposit pilots.^[7] In a later update around Sibos, Swift described those 17 banks as piloting live cross-border transactions.^[20] The progression from readiness to pilot activity is real, but it is not yet proof of large, recurring commercial payment volumes. Swift's existing bank relationships, operational standards and customer access are potential advantages irrespective of which ledger technology is used.

The Clearing House and bank consortia are developing other approaches to shared financial records. Google Cloud Universal Ledger, tested with Swiss financial institutions and linked to core-banking integration work, illustrates another competitive model: the provider of the software may be an existing cloud platform. Financial institutions can adopt a common ledger to improve their own services and capture cost savings without creating demand for a separate publicly traded network token.

The counterargument is real. Public chains can offer liquidity, developer access, and interoperability that bank-specific systems cannot easily reproduce. A bank using Ethereum may increase the usefulness of that network. But an increase in usefulness is not yet proof of a particular dollar value accruing to holders of its native token. The analysis must trace the fees paid, fees burned or distributed, the economic security required, and substitutes available to customers.

Faster Settlement Does Not Rewrite Ownership Rights

Tokenization means recording a representation of an asset on a blockchain-linked system. The represented asset might be a Treasury bill, an investment fund share, a loan, or a company share. This can help approved participants transfer, reconcile or pledge ownership, but it does not create the underlying financial claim. An investor still needs to know which institution owes money, what legal documents confer ownership, what happens in insolvency, and whether a willing buyer exists.

That distinction is essential when using market-size estimates. RWA.xyz^[9] separately reports distributed assets, tokens held or transferable outside an issuer’s internal records, and represented assets, often recorded in more restricted systems. In late October 2026, the respective values were approximately about $40 billion and $374.5 billion, excluding payment stablecoins in the quoted distributed measure. These are not two interchangeable pools of freely tradable investments. Nor should they be added into a single number without explaining what the combined figure means.

FIGURE 7

The Legal and Operational Structure Behind Tokenized Assets

The largest opportunities first emerged where legal claims are well established and participants already have reasons to move collateral: government-related funds, short-term financing and particular loan records. Tokenized Treasury and cash-management funds are useful because an eligible firm can hold a dollar-denominated investment that earns yield and may be transferred or pledged at additional hours. But the investment still bears rate risk, fees, investor eligibility and redemption rules. A tokenized fund share is not the same product as a payment stablecoin that promises to maintain a fixed dollar value.

The quiet success of institutional collateral

One of the clearest operating examples is securities financing. A repurchase agreement, or repo, functions much like a short-term loan secured by securities. A dealer borrows cash, temporarily transfers eligible bonds to a lender, and agrees to repurchase them. Large institutions repeat these transactions frequently because they need to finance their trading inventories and manage liquidity. A shared ledger can reduce duplicated recordkeeping and disputes about pledged collateral, but only if it fits the existing legal and operational framework.

Broadridge^[10] reported an average $359 billion in daily transactions on its Distributed Ledger Repo system during September 2026. That is genuine institutional activity. It is not Broadridge’s software revenue, and it is not a pool of $359 billion of distinct new investments: financing can be renewed repeatedly. The reported daily volume also provides a useful check on momentum. Broadridge reported approximately $365 billion in January, $354 billion in March, $357 billion in June, $365 billion in July, and $359 billion in September. It reached scale, but those specific monthly observations show little acceleration during 2026 even while year-over-year comparisons reflect earlier expansion.

FIGURE 8

Broadridge: Institutional Financing Activity in 2026

Broadridge’s prospective moat is not ownership of an impossible-to-copy blockchain. It is its role inside a regulated institutional workflow: integrations, participants, operating experience, data, controls and switching costs. To determine whether this becomes an exceptional investment, however, an analyst must examine the incremental revenue, pricing, costs and incremental returns on capital associated with the service. The value financed is not a substitute for that information.

DTCC launched^[11] a tokenization service in October 2026 with 20 participating client firms signed up. Its position is distinctive because it connects token representations to securities already held within an established U.S. custody and settlement structure. That can matter more than headline transaction speed: investors require legal certainty and a workable mechanism to reverse errors, satisfy restrictions and pledge collateral. But signed agreements should not be confused with a published volume of repeat commercial transactions. DTCC’s announcement does not establish that a meaningful fraction of its vast custody assets have already been tokenized and transferred.

The harder cases: private credit and equities

Private credit may become a useful blockchain application, but technology cannot eliminate borrower losses. Figure, for example, reported approximately $4.26 billion of consumer-loan marketplace volume and $225.6 million of net revenue in the second quarter of 2026. Its lending and distribution network could be strengthened by reliable loan records and integrated marketplace services. Yet its durable edge, if any, must be tested in its ability to acquire loans, evaluate borrowers, attract financing, manage defaults and serve partners, not in the existence of a blockchain entry alone. Figure’s Q2 disclosure^[12] illustrates both measurable commercial activity and exposure to conventional lending risks.

Tokenized shares require equal care. A token that conveys legally recognized ownership, voting and dividend rights is different from a contract that merely tracks a share price. Faster transfers do not automatically mean faster final legal settlement or a liquid secondary market. The commercial winners might be custodians, exchanges, asset managers and regulated post-trade utilities, depending on which rights customers receive and which firms set the fees.

The investment implication: tokenization may expand faster than standalone tokenization-platform profits. The fund manager can retain management fees, the custodian can retain safekeeping fees, the bank can keep the funding relationship, and the record provider may earn a modest software or processing charge. A fast-moving asset does not identify the winning security; only the economic contracts and competition do.

When Network Effects May Become Defensible

Yet established financial institutions are not the only potential beneficiaries. Open networks can accumulate genuine advantages even when their software is public. A financial network becomes more useful when many people already accept the asset, build applications upon it, supply liquidity and provide reliable tools. The resulting network effects can be difficult to reproduce. Some of the strongest arguments for blockchain-native winners come from these effects, not from raw transactions per second.

What would change the conclusion? If one or more blockchain-native venues sustain material share of a clearly defined competitive market, preserve liquidity and repeat customers after incentive reductions, and retain meaningful net economics for identifiable beneficiaries, the case for incumbent distributors dominating blockchain value capture would weaken. Conversely, if apparent share collapses when incentives end or fees are competed away, the evidence for a native moat weakens. Any market-share comparison must specify whether the denominator is all perpetual-futures trading, decentralized perpetual-futures trading, or some narrower product; those percentages are not interchangeable.

Bitcoin’s distinctive proposition is a widely recognized, scarce digital asset secured by a broad network of independent participants. Its investment case is principally monetary and network-based, not the discounted cash flows of a company. It can have a powerful network effect without being analyzable like a payments processor. Whether its market price offers an attractive prospective return remains a separate question about demand, supply, risk and valuation.

Ethereum’s proposition combines an open development environment, applications, asset issuance, liquidity and multiple scaling networks. Its public architecture allows independent participants to build on a shared settlement and execution framework. Those advantages may attract new financial applications, including institutional deposit tokens. But transaction growth on Ethereum-connected networks can migrate across layers and reduce the fees captured by the base network. Analysts must understand fees, monetary policy, validator economics and which rights the investor’s asset actually conveys; an active ecosystem is not identical to a corporate profit stream.

Solana and other high-throughput networks compete on transaction cost, perceived speed, user experience, reliability and available applications. Faster settlement may attract certain consumer or trading workloads. But if most networks eventually become fast and inexpensive enough, differentiation may shift toward liquidity, reliable operations, developer tools and distribution. A design target or benchmark is not customer retention. Nor should it be used as a forecast for the market value of the native token.

Decentralized trading networks provide perhaps the strongest case for blockchain-native commercial moats. Traders often concentrate where spreads are tight, execution is dependable, collateral is useful, and sophisticated market makers already participate. Hyperliquid is therefore not just another growth example; it is a direct test of whether a native venue can establish defensible market liquidity without relying indefinitely on subsidies. The decisive evidence would be repeat activity, depth and spreads through volatile periods, market-maker and trader retention after incentive reductions, competitive fee retention, and the actual mechanism connecting protocol economics to tokenholder value. Leverage can inflate trading volume, wash activity can distort reported share, and a protocol's fees are not necessarily enforceable cash flows to tokenholders. These concerns require measurement, not dismissal of the potential moat.

The adoption trend is not purely anecdotal. CoinGecko estimated that decentralized perpetual-futures venues increased their share of measured perpetual trading volume from approximately 2.0% in January 2024 to 10.2% in January 2026, while identifying Hyperliquid as a major participant.^[29] These are share-of-trading estimates, not profit margins or returns earned by tokenholders. The findings strengthen the case that liquidity networks can attract durable customers, but the test remains net fees and customer retention after subsidies and market cycles.

The relevant questions are economic. Can customers change networks easily? Does liquidity persist without temporary rewards? Does the ecosystem attract independent developers who earn real income? Are fees paid in a way that benefits the security being purchased? Does reliable security require continuing demand for the native asset? Can the network survive a prolonged speculative downturn? A yes to all of those is much more persuasive than a claim that a chain handles more transactions than a competitor.

An open network can also be an enormous social or financial success while its native asset delivers an unattractive return from a particular purchase price. The moat may be real and already fully capitalized, or more than fully capitalized, in market value. That distinction is central to any hedge fund analysis.

Who Controls the Scarce Asset?

Not every blockchain-related company belongs in one peer group. A stablecoin issuer’s economics can resemble a reserve-income business; a payments processor earns on transactions and services; a lender earns on origination and credit performance; a custodian charges for protecting assets; an exchange charges for trading; and a data-center operator earns by delivering computing or electrical capacity. Their appropriate valuation measures, competitive risks and sensitivities to interest rates are different.

The framework below identifies plausible moats and the evidence required to establish them. It is not a stock ranking or a recommendation to buy the named securities. A strong business can still be overpriced.

A few examples illustrate how differently the investment problem should be framed. Circle needs a model that stresses circulating supply, reserve yield, partner economics and non-interest revenue. Figure needs a credit and funding model, including how its loans perform in a weaker housing market. Coinbase combines exchange, custody, distribution and other financial activities and should not be treated as a pure bet on any single blockchain. Visa may benefit from stablecoin-enabled services without those services becoming a large part of its consolidated revenue immediately. Broadridge can operate massive financing flows while reporting only the fees it earns for providing infrastructure.

The publicly available data also leave gaps. A firm’s press release may disclose transactions but not related margins; it may announce partnerships rather than live clients; or it may report a multi-year contract value before anything has been built. Where revenue or return on capital is missing, it is better to state the missing variable than invent a market share or profit estimate.

AI Payments May Be Real Before They Are Profitable

Software agents making small payments have attracted substantial interest. Protocols such as x402 and the Machine Payments Protocol offer ways for software to request and authorize access to paid information, computing or other online services. A research agent might purchase a single data table for a few cents instead of requiring a person to establish a subscription. This is a plausible new kind of demand, particularly for digital-native services that can be metered precisely.

But the investable market is not yet established. Allium^[1] estimated 29 million x402 transfers in August 2026 at roughly six cents each. That is approximately $1.7 million in transaction value for that particular measured flow, not revenue for a blockchain company. Some observed traffic in related datasets represents test activity or moving assets among technical systems. An autonomous payment also requires spending limits, approved counterparties, fraud safeguards and methods to resolve bad purchases. Much of that work can be handled by established payment providers using cards or bank money, not necessarily a new token.

A meaningful moat would require more than standards adoption. It could emerge from being the trusted wallet or authorization layer used by enterprises, owning the marketplace in which customers repeatedly buy services, or providing reliable identity and risk controls. The winning mechanism is still uncertain. Fully autonomous corporate treasury management, decentralized AI data licensing and general-purpose GPU marketplaces should be distinguished from narrower operating products with audited customer spending.

Other frequently proposed uses, shipping records, consumer identity, pharmaceuticals, carbon data, property ownership, energy trading and collectibles, have real niches but face a simple question: what valuable capability would disappear if a conventional shared database replaced the blockchain? Where laws require product provenance or digital identity, they usually specify reliable records and checks rather than a particular blockchain. Compliance can be a real industry without conferring a monopoly on a blockchain vendor.

The implication for long-run forecasts is direct. Blockchain could be embedded in innumerable applications and still be economically invisible to the end user. The outcome would be technological success, potentially strong profits for certain suppliers, and an uncertain value proposition for many publicly traded tokens.

Trust and Compliance Create Costs and Barriers

As more financial value moves through digital systems, the costs of failure increase. A public blockchain can execute its rules correctly while the institution holding customer assets is compromised. Attackers may steal credentials, manipulate transaction approval systems, deceive employees, or exploit software that passes outside-world information into a blockchain program. A technically valid transfer can still result from fraudulent inputs.

A particularly severe example occurred on October 29, 2026, when Binance disclosed the theft of approximately $6.3 billion in cryptoassets. The FBI publicly attributed the attack to North Korea's TraderTraitor operation on October 31.^[13] Binance reported roughly $3 billion frozen with industry partners, while a separate response involved purchasing replacement assets using company resources. By October 31, it said it had replenished 90% of the stolen amount for customers.^[22] Independent tracing by Elliptic identified approximately $2.85 billion in frozen or seized assets at its reporting cutoff.^[23] Frozen assets are not necessarily recovered, and replacing customers' assets is not equivalent to recovering the coins that were stolen. Binance temporarily suspended withdrawals; reporting indicated deposits continued. The breach illustrates operational and custody risk, not a failure of Bitcoin or Ethereum's underlying cryptographic rules.

FIGURE 9

Security Depends on More Than Smart Contract Code

Security may create a competitive advantage for providers that are independently trusted and consistently reliable. But trust is asymmetric: it can take years to establish and minutes to lose. Large asset balances in custody are not profits; they are exposure to liabilities and operational responsibilities. Investors should look for recurring fees, segregation of assets, approval controls, incident response and the legal treatment of customer claims.

Regulation also changes who can compete. The United States enacted the GENIUS Act in July 2025 and the Office of the Comptroller of the Currency^[14] announced its final implementing rule in October 2026, with an effective date of January 18, 2027 for the covered framework. The rules address reserve assets, redemption, governance and supervision, while some anti-money-laundering matters are handled separately. The exact scope varies by issuer and jurisdiction. Compliance may increase institutional willingness to adopt regulated digital dollars, but it also gives more established financial companies a clearer route into the market.

Regulation of tokenized securities is changing independently of stablecoin rules. In August 2026, the SEC proposed Regulation Crypto Assets, a framework for certain crypto-related securities offerings; as of this article's cutoff, that proposal was not a final rule.^[24] In September, the SEC adopted a temporary, conditional Innovation Exemption for certain tokenized U.S. stocks. Qualifying tokens must preserve economic and shareholder rights, including dividends and voting, and participating venues must satisfy conditions.^[25] The CFTC separately clarified aspects of tokenized collateral and blockchain recordkeeping in September and requested public input on additional rules in October. Neither staff guidance nor a proposal should be described as unrestricted permission to offer every tokenized security.^[26][27] These distinctions matter because who may issue, distribute, trade and custody a tokenized claim will help determine where the commercial advantages accumulate.

Banks face their own constraints, including capital requirements for particular digital-asset exposures, liquidity rules and supervision of third parties. An institution does not choose a new rail solely because it offers sub-second confirmation. It also considers settlement finality, the treatment of collateral, counterparty credit, sanctions compliance, privacy and how failures will be resolved. These requirements can slow adoption, but they also explain why trusted market infrastructure can be difficult to displace.

The investment trap is assuming that tighter rules guarantee attractive profits for every licensed firm. Regulation can be a gate; it becomes a moat only if the firm also retains customers, limits competition and earns more than it spends complying. In some cases, standardized regulation may reduce the scarcity of an early licence by making it easier for many established firms to enter.

Five Questions That Separate Adoption From Returns

The investment test can be reduced to five questions, which also appear in Figure 1. The order matters because each later hurdle is different from demonstrating that a product functions.

1. Does the product work reliably outside demonstrations and controlled tests?
2. Do real customers use it repeatedly without depending on temporary subsidies?
3. Does the company retain meaningful revenue after distribution, incentives and operating costs?
4. Can the company defend that economics as competitors copy or improve the service?
5. Does the current investment price leave room for an attractive return after uncertainty and risk?

An early success does not substitute for evidence at later stages. A working system can lack paying customers; a growing product can lack pricing power; and a profitable business can still be an unattractive investment at a sufficiently high valuation.

The final question is often the most neglected. Suppose a provider’s revenue doubles but the market cuts the price it will pay for a dollar of that revenue by two-thirds. Its share price can fall despite improving adoption. Alternatively, a company may retain nearly every customer and still be a poor purchase if investors have already paid for many years of extraordinary growth. An exceptional product and an exceptional return are not synonymous.

There are four common ways to obtain exposure, and they are not substitutes for one another. Owning a coin provides exposure to the asset’s market value and network economics, if any. Owning an exchange-traded fund provides a professionally administered wrapper and fees around some underlying assets but does not turn them into productive businesses. Owning a crypto-treasury company adds management decisions, debt and shareholder dilution to exposure to the held coins. Owning an operating company provides a claim on its residual cash flows, costs, assets and liabilities. Confidence in blockchain adoption alone does not establish which of these four produces the best risk-adjusted return.

FIGURE 10

Investment Exposure Does Not Mean the Same Economic Rights

1Direct crypto

Token or key exposure

Return mostly from price

Custody and price volatility

2Exchange-traded product

Shares of a fund or trust

Tracks asset after costs

Tracking, fees and asset price

3Operating company

Equity in a business

Profit and future growth

Execution, costs and valuation

4Crypto treasury company

Equity in a crypto holder

Coin value less obligations

Debt, dilution and premium

These structures have different assets, cash flows and legal claims.

The treasury-company example reveals how financial engineering can be mistaken for a moat. A company that owns cryptocurrency may issue shares when its stock trades above the net value of its holdings, then use the proceeds to buy more coins. That can increase coins per share under favorable conditions. If the premium disappears, the same issuance may dilute shareholders. Debt, preferred-share claims, custody risk and operating costs further complicate the comparison with simply holding the underlying coin or a regulated fund. The apparent advantage is often dependent on market conditions rather than a durable competitive edge.

There is evidence that the structure itself does not command a reliable premium. A September 2026 DWF Labs analysis found that just four of its 20 largest digital-asset treasury companies traded above the reported value of their cryptocurrency holdings under the study's method.^[28] The sample is a dated observation, not a universal valuation rule. Discounts can reflect debt, preferred claims, future dilution, operating costs or other risks. They are not necessarily arbitrage opportunities available to ordinary shareholders.

For an investor, the useful sequence connects the real customer problem, incremental payment or savings, provider’s retained take rate, operating costs and reinvestment, competitive response, and valuation. If any link is missing, the resulting investment case rests on an assumption rather than demonstrated economics.

What evidence would change the picture?

The picture will become clearer as financial statements and transaction data accumulate. Announcing partnerships is less informative than observing repeat customer use, contract renewals, net revenue, changes in customer acquisition cost and fee retention.

Three credible 2030 outcomes

Selective adoption. Blockchains improve particular wholesale systems, crypto-market payments and cross-border corridors. Banks and card networks continue improving their own rails. Many chains compete on price; a small set of specialized platforms earns recurring fees. The technology succeeds in narrower niches than headline forecasts imply.

Integrated finance. Tokenized cash funds, selected collateral, bank deposits and some commercial payments become ordinary features of institutional financial software. The customer rarely interacts with a token directly. Distribution and regulatory trust become even more important, but public-network liquidity and shared standards also have value. Profits spread across issuers, market utilities, software vendors and selected network operators rather than being concentrated in one technology winner.

Open-network breakout. A small number of public networks gain durable liquidity, developers and paying customers while making proprietary intermediaries less necessary. Open markets become the default settlement or trading layer for substantial activity. In that outcome, open networks could capture far more value than established financial intermediaries, especially if measurable fees or other enforceable economics accrue to investors through clearly defined rights.

None of these outcomes is a probability forecast or a target price. Their importance is that they require different investment exposures. A portfolio built solely on rising token prices is not a neutral way to invest in institutional tokenization. Conversely, owning only payment incumbents risks missing an open-network model that genuinely displaces them.

The Rail Is Not Necessarily the Tollbooth

Blockchain’s commercial significance is becoming easier to see. It helps move dollar-denominated claims across time zones, supports institutional securities financing, and creates additional ways to hold or transfer ownership records. Banks and payment networks have begun incorporating these capabilities into regulated products. Public networks and digital-asset markets retain genuine advantages in selected activities. These developments should not be dismissed simply because speculative prices are volatile.

But technological relevance is not an investment moat. The best infrastructure does not necessarily collect the largest fee; the most popular token does not necessarily convey the most favorable economic rights; and the fastest-growing market does not guarantee attractive returns for securities purchased at high expectations.

The most defensible opportunities may lie where blockchain intersects with something scarce: customers that are difficult to acquire, trust that is difficult to earn, liquidity that is difficult to coordinate, regulated workflows that are expensive to replace, or underwriting capabilities that improve through repeated decisions. Whether these advantages endure will be revealed by financial disclosures, customer behavior, competitor responses and the price investors pay, not by the terminology used to describe the technology.

The analytical task is therefore not to pronounce blockchain moats absent or inevitable. It is to locate defensible advantages, test whether the resulting economics are retained by issuers, distributors, incumbents or native networks, and assess what price investors are asked to pay. The outcomes may differ across payments, stablecoins, tokenization, trading venues and monetary assets. Evidence of a successful open-network venue would strengthen the case for native value capture; durable distributor or workflow economics would support a different pattern. Adoption alone decides neither question.

Research Scope and Measurement Rules

This research compares competing mechanisms for economic value capture rather than offering a directional recommendation on blockchain equities or tokens. Its suggested tests describe the evidence that would support or weaken each possibility; they are not forecast probabilities.

This article reflects information publicly available through November 2, 2026. Stablecoin and tokenized-asset market balances are rounded observations from late October 2026. Corporate operating results refer to their stated reporting periods; the Allium activity figures refer to January–September 2026; the FXC/Allium cross-border comparison covers 2025; and the Broadridge chart refers to selected months of 2026. Market estimates from different providers may use different measurement rules. Figures describing transaction value, assets represented, balances outstanding and company income must not be added or compared as if they were the same statistic. Allium adjusted-flow measurements in this article use its October 2026 classification consistently; they must not be combined mechanically with the earlier eight-month report.

Company announcements and unaudited company-provided metrics indicate what those firms reported, not independent verification of all underlying activity. Framework illustrations express analytical judgments, not empirical scores. Business scenarios are possible outcomes rather than probabilities, investment recommendations or price targets.

This article is general institutional research and is not an offer, solicitation, or personalized investment recommendation. Digital assets, funds, equity securities, lending products and emerging payment systems carry risks including material or total loss.

References

The references below identify the sources for reported figures, company disclosures, regulatory developments and market observations. Publication dates and reporting periods are retained because they affect comparability.

1. Allium. State of Stablecoins and Payments, Q3 2026. October 15, 2026. Primary source for $97.9T raw transfers, $2.4T adjusted end-user volume, $482B identified payments and $305B September supply. The definitions differ from the September 2026 edition. allium.so
2. FXC Intelligence and Allium. Stablecoins in Cross-Border Payments. 2026. Methodological comparison of identified stablecoin payments with conventional cross-border money flows. www.allium.so
3. Chainalysis. 2026 Global Crypto Adoption Index. September 2026. Evidence on on-chain economic activity and the difference between usage and asset-market value. www.chainalysis.com
4. Circle. Second-Quarter 2026 Financial Results. 2026. Revenue and reserve income, distribution costs, and reported profit in the quarter. www.circle.com
5. Circle, filing with the US SEC. Form 10-Q for the quarter ended June 30, 2026. 2026. Company disclosures about USDC reserve income and distribution arrangements. www.sec.gov
6. Visa. Fiscal Fourth Quarter 2026 Earnings Call. October 27, 2026. Management disclosures of over 225 stablecoin-linked card programs, over 150% volume growth and an annualized settlement run rate above $25B. stockanalysis.com
7. Swift. Shared Blockchain Ledger Ready for Initial Use. July 9, 2026. July launch-readiness statement: 17 banks were preparing live tokenized-deposit pilots. swift.com
8. J.P. Morgan. JPM Coin on Ethereum. October 2026. Development in tokenized bank deposit transfers. www.jpmorgan.com
9. RWA.xyz. Global Market Overview and Asset Definitions. Late October 2026 snapshot. Market data distinguishes distributed tokenized assets from represented records and excludes stablecoins from the former figure; classification and history can be revised. app.rwa.xyz
10. Broadridge. Distributed Ledger Repo Processes $7.5 Trillion in September. September 2026. Average daily value of institutional repurchase-agreement activity, not company revenue. www.broadridge.com
11. DTCC. Tokenization Service Goes Live. October 2026. Service status and number of participating clients that signed up. www.dtcc.com
12. Figure Technology Solutions. Second-Quarter 2026 Results. 2026. Lending marketplace volume, revenue and operating results. investors.figure.com
13. Federal Bureau of Investigation. North Korea Responsible for $6 Billion+ Binance Attack. October 31, 2026. Official October 31 attribution to TraderTraitor of the theft on or about October 29. fbi.gov
14. Office of the Comptroller of the Currency. GENIUS Act Final Rule. October 2026. US stablecoin supervisory framework and effective-date provisions. www.occ.gov
15. Broadridge. January 2026 Distributed Ledger Repo Update. January 2026. One observation used in the repo activity trend. www.broadridge.com
16. Broadridge. March 2026 Distributed Ledger Repo Update. March 2026. One observation used in the repo activity trend. www.broadridge.com
17. Broadridge. June 2026 Distributed Ledger Repo Update. June 2026. One observation used in the repo activity trend. www.broadridge.com
18. Broadridge. July 2026 Distributed Ledger Repo Update. July 2026. One observation used in the repo activity trend. www.broadridge.com
19. DefiLlama. Stablecoin Market Overview. Late October 2026 snapshot. Approximate circulating supply of tracked stablecoins. Snapshot values can change. defillama.com
20. Swift. Four Reflections From Swift at Sibos 2026. October 2026. Late-October progress update describing 17 banks piloting live tokenized-deposit cross-border transactions, not evidence of broad global deployment. swift.com
21. Open Standard. Open USD Network and Partners. 2026. Lists Coinbase among a wider network of participating firms; does not establish identical ownership or economics across partners. openusd.inc
22. Reuters. Binance Says It Has Covered 90% of Losses From $6.3 Billion Hack. October 31, 2026. Reporting on company-funded replenishment; replacing customer balances is distinct from recovering stolen assets. fidelity.com
23. Elliptic. The Largest Theft in History: Binance Hack Analysis. October 2026. Independent analysis of frozen or seized funds, around $2.85B at the reported cutoff. elliptic.co
24. U.S. Securities and Exchange Commission. Proposed Regulation Crypto Assets. August 18, 2026. August proposal for tailored crypto-asset investment-contract offerings, not final adopted rule. sec.gov
25. U.S. Securities and Exchange Commission. Innovation Exemption: Temporary and Conditional Relief. September 17, 2026. September 17 temporary conditional framework for limited tokenized U.S. stock trading with preserved shareholder rights. sec.gov
26. U.S. Commodity Futures Trading Commission. Updated Crypto and Blockchain Technology FAQs. September 24, 2026. September guidance clarifying tokenized eligible investments, collateral and blockchain records. cftc.gov
27. U.S. Commodity Futures Trading Commission. Advanced Notice of Proposed Rulemaking for Crypto Asset Transactions. October 5, 2026. October solicitation of comments on future rules for specified retail crypto commodity transactions, not final rules. cftc.gov
28. DWF Labs Research. Are Digital Asset Treasuries Worth Holding?. September 24, 2026. September sample of 20 largest digital-asset treasury firms, with only four above the study's market-value-to-asset-value measure. dwf-labs.com
29. CoinGecko. CEX and DEX Trading Activity Report 2026. May 2026. Perpetual-DEX share of measured perpetual trading volume rose from about 2.0% in January 2024 to 10.2% in January 2026. coingecko.com