Where Does the Value Go When Finance Moves On-Chain? Banks, Stablecoins, Bitcoin, and Tokenized Assets
The easiest story is that stablecoins will take deposits from banks.
Another easy story is that banks will copy the technology and take the business back.
A third is that public blockchains will capture the value because every new token eventually has to use a network.
All three stories can be partly true.
None of them is enough.
The latest evidence is already showing a more complicated market.
J.P. Morgan is putting commercial-bank money on public blockchain infrastructure. Franklin Templeton is distributing regulated fund shares on-chain. DTCC is connecting tokenized assets to the existing U.S. securities system. And on September 28, 2026, Citi and Coinbase expanded a partnership in which Coinbase provides stablecoin-payment infrastructure while Citi provides regulated banking, fiat conversion, and settlement.[1][2][3][4]
That does not look like one industry replacing another.
It looks like a value chain being rearranged.
The useful question is not “Who wins on-chain finance?” It is “Where does economic value get created, who controls that point, and how much of the value can they keep?”
This article closes the current on-chain-finance series by focusing on value capture.
By the end, you should be able to analyze banks, stablecoin issuers, asset managers, market infrastructure, blockchains, and Bitcoin without ranking them as if they were all competing for the same job.
Value Creation Is Not the Same as Value Capture
A new rail can create value by making payments faster, collateral easier to move, settlement more programmable, or assets easier to distribute.
But the institution that creates the improvement does not automatically keep all the economics.
A payment network can process more volume while fees fall.
A blockchain can host more assets while applications or custodians own the customer relationship.
A bank can lose part of its deposit franchise while gaining custody, settlement, and tokenized-deposit business.
More activity ≠ more pricing power ≠ more durable profit
To understand value capture, we need to find the control points.
Start With Five Control Points, Not Company Names
Figure 1. On-chain finance is better understood as a contest over control points than as a contest between “TradFi” and “crypto.”
1. Trusted assets
A new rail has little value if nobody wants the asset moving on it.
U.S. Treasuries, regulated money-market funds, bank deposits, and listed securities arrive with economic and legal properties that are expensive to reproduce.
Tokenization can improve how those claims move. It does not create their trust from nothing.
2. Money
Every financial transaction eventually needs a settlement asset.
That creates several possible forms of digital money: payment stablecoins, tokenized bank deposits, deposit tokens, and central-bank settlement money in wholesale systems.
These can look similar on a screen while having different balance-sheet, regulatory, and revenue economics.
3. Distribution and the customer relationship
The institution that controls access to customers can capture value even if it does not own every piece of infrastructure underneath.
Banks have depositors and corporate treasury clients. Asset managers have investment products. Crypto platforms and wallets have digital-native users and developers. Exchanges and brokerages have trading relationships.
Distribution is difficult to see on a blockchain explorer. It can still be one of the strongest moats.
4. Custody, compliance, and authoritative records
Institutional assets need more than a private key.
They need legally recognized ownership records, custody, sanctions screening, identity, reporting, asset servicing, redemptions, and operational resilience.
DTCC's July 2026 analysis makes this point directly: multilateral netting, settlement finality, legal novation, tax processing, corporate actions, identity, and compliance do not disappear when assets move on-chain.[5]
These functions can become programmable. They do not become optional.
5. Settlement and interoperability
An asset that cannot connect to useful money, counterparties, custodians, and markets can become another digital island.
DTCC, Citi, and Swift now describe interoperability as critical to the next phase of institutional tokenization because assets, cash, and data are spreading across traditional systems, private networks, and public blockchains.[6]
This creates a powerful economic question:
Does a company become more central as networks connect—or more replaceable?
Stablecoin Issuers: Where Does the Economics Come From?
A payment stablecoin issuer puts a dollar-linked claim directly onto digital networks.
Potential value can come from global digital-dollar distribution, payment and settlement services, reserve-asset economics, partnerships, and infrastructure around issuance and redemption.
The GENIUS Act requires permitted payment stablecoin issuers to maintain at least one-to-one backing with specified reserve assets. It also prohibits the issuer from paying holders interest or yield solely for holding, using, or retaining the stablecoin.[7]
That does not mean every dollar of Treasury interest automatically becomes issuer profit.
Reserve income can be shared with partners, offset operating and compliance costs, support incentives, or be affected by interest rates and the exact business arrangement.
So the useful question is:
Who keeps the spread between the economics of the reserve assets and the cost of distributing, operating, and redeeming the stablecoin?
BIS research shows that the reserve channel is already economically meaningful. Stablecoin issuers held more than $270 billion in combined assets by December 2025 and bought nearly $35 billion of U.S. Treasury bills during 2025.[8]
Does Stablecoin Growth Automatically Mean Banks Lose?
No.
But it can pressure a valuable bank business: the deposit franchise.
A deposit franchise is a bank's ability to attract and retain deposits that fund lending and other activities.
The Federal Reserve notes that stablecoins can compete with transaction accounts, payment processing, settlement, and short-term transaction balances.[9]
But the same research explains why the effect is not one-directional.
If stablecoin reserves remain as bank deposits, much of the money can stay inside the banking system. If reserves shift toward Treasuries, deposit composition and potentially aggregate deposits can change differently.
Banks also control credit creation, regulated deposits, corporate treasury relationships, custody, fiat clearing and settlement, compliance, and access to established payment systems.
The New York Fed's 2026 research on stablecoins versus tokenized deposits makes the trade-off explicit: which form of digital money performs better for the wider economy depends on bank regulation, lending, risk, and the interaction between the two systems—not simply on which technology is newer.[10]
Citi + Coinbase Shows Why “Bank vs. Crypto” Is the Wrong Map
The September 28 Citi–Coinbase announcement is a useful real-world example.
Coinbase is providing the stablecoin and digital-asset payment infrastructure.
Citi is providing regulated bank-account infrastructure, fiat conversion, merchant payments, and settlement as bank of record.[4]
One part of the collaboration allows Coinbase payment customers to use Citi-powered virtual accounts that automatically convert incoming fiat into stablecoins.
The other lets Citi institutional clients accept stablecoin payments through Spring by Citi, with Coinbase powering the digital-asset leg and Citi settling the fiat leg.
This is not a case where one side had to disappear.
It is a case where both sides contribute a control point the other would be expensive to reproduce.
In on-chain finance, competitors can also be complements. The important question is which part of the combined workflow each party controls.
Banks Can Tokenize the Deposit Without Giving Up the Deposit Relationship
J.P. Morgan offers another model.
JPM Coin is a tokenized commercial-bank deposit available to institutional clients on Base.
J.P. Morgan said in April 2026 that Kinexys had processed more than $3 trillion since inception and was averaging more than $5 billion per day.[1]
The deposit becomes usable on a blockchain rail. But the customer still has a claim on the bank.
That matters economically because tokenized deposits can modernize the rail while preserving the bank's deposit relationship.
This does not prove tokenized deposits will displace stablecoins. It shows why they are not competing for exactly the same customers and use cases in every market.
Asset Managers: The Asset Can Be the Moat
Asset managers begin from another control point: trusted portfolios.
Franklin Templeton's BENJI does not require the firm to invent a crypto-native asset.
It represents shares of a regulated U.S. government money-market fund using blockchain-integrated recordkeeping and transfer infrastructure.
Franklin Templeton said the BENJI suite had reached $1.98 billion in assets under management as of April 29, 2026, while the fund had also expanded peer-to-peer transfer functionality and on-chain dividend processing.[2]
Tokenization can make fund distribution and servicing more programmable.
But if several asset managers can tokenize similar Treasury funds, the durable value may still depend on brand, portfolio design, fees, distribution, liquidity, and integrations.
Traditional Distribution Can Become a Tokenization Advantage
A September 16 DTCC announcement provides another clue.
Ondo Finance's U.S. broker-dealer subsidiary joined DTCC's Fund/SERV platform as its first tokenization member. DTCC says Fund/SERV processes more than 85% of U.S. mutual-fund transaction activity.[11]
This matters because a tokenized product does not scale only by existing on a blockchain.
It also needs distribution.
Connecting a tokenized fund to an existing fund-distribution network can be as economically important as choosing the blockchain itself.
Market Infrastructure: Connectivity Can Be a Control Point
The original article called market infrastructure a possible “quiet winner.”
A better way to say it is that infrastructure owns a strategically important control point.
DTCC's July production event converted DTC-held securities into tokenized representations and used them in real U.S. trades involving roughly 40 firms.[3]
Its May collateral work argues that near-real-time tokenized collateral movement could reduce liquidity buffers and improve capital efficiency.[12]
And by late September, DTCC was emphasizing interoperability between traditional systems, tokenized assets, digital cash, public chains, and private networks.[6]
That suggests a durable question for infrastructure providers:
If more markets become digital, do more participants need your connection, standards, records, or risk controls?
If yes, digitization may strengthen the infrastructure role rather than eliminate it.
Blockchain Networks: More Volume Can Mean More Use—and Less Differentiation
Public and private blockchain networks can benefit as more regulated money and assets use their infrastructure.
They can gain transaction activity, developers, institutional integrations, liquidity, and technical standards.
But volume alone does not tell us how much economic value the network captures.
Interoperability can increase the total market while making it easier for institutions to use multiple networks.
DTCC's multichain approach and its September interoperability work are examples of an institutional preference for connectivity rather than dependence on one chain.[6]
Interoperability can make a network more useful while also making the network easier to substitute.
For a blockchain, the economic question is therefore not just “How much financial activity is on-chain?”
It is “What is hard to replace about this network?”
Bitcoin Is Not Competing for the Same Control Point
Bitcoin sits awkwardly in a chart about banks, stablecoins, funds, and settlement infrastructure because its economic role is different.
Bitcoin is not a claim on a bank, a fund, or a Treasury portfolio.
It is a native digital asset with its own monetary policy and network.
The U.S. Strategic Bitcoin Reserve also treats government-held Bitcoin as a reserve asset rather than as payment-stablecoin or securities infrastructure.[13]
So broader on-chain adoption can coexist with a world in which Bitcoin remains mainly a scarce investment or reserve-like asset rather than the dominant settlement rail for tokenized securities.
Bitcoin should not be graded by the same metric as a stablecoin issuer or a clearing network.
The U.S. Treasury Market Sits Under Several Business Models
Short-term Treasuries can sit behind stablecoin reserves.
They can sit inside tokenized money-market funds.
They can themselves be represented through tokenized securities infrastructure.
BIS estimates that stablecoin issuers bought nearly $35 billion of Treasury bills during 2025.[8]
This does not mean digital finance will solve U.S. government financing needs.
It means several new digital-money and tokenization business models can create additional channels into the same traditional safe asset.
A Better Table: Where Can Value Be Captured?
| Participant | Control point | Possible value-capture channel | What can erode it | Evidence to watch |
|---|---|---|---|---|
| Stablecoin issuers | Digital-dollar distribution and redemption network | Reserve economics, payment/settlement services, partnerships | Rate declines, competition, regulation, redemption costs, commoditized rails | Non-trading payment use, reserve mix, distribution depth |
| Banks | Deposits, credit, customer relationship, fiat settlement | Deposit economics, treasury services, custody, tokenized money, settlement | Deposit substitution, faster competitors, legacy-system cost | Tokenized-deposit volumes, stablecoin partnerships, custody adoption |
| Asset managers | Trusted portfolios and regulated product design | Management fees, distribution, servicing, collateral integrations | Fee pressure, product replication, platform power | AUM, active transfers, collateral use, distributor connectivity |
| Market infrastructure | Authoritative records, clearing, standards, connectivity | Processing, collateral, settlement and network services | New technical competitors, lower processing fees, decentralization of functions | Production volumes, collateral savings, interoperability use |
| Blockchain networks | Programmable execution and connectivity | Network fees, ecosystem activity, standards and integrations | Multichain substitution, fee compression, abstraction | Institutional activity plus durable switching costs |
| Bitcoin | Native scarce digital asset | Adoption as an investment/reserve-like asset | Volatility, regulation, competition for portfolio allocation | Custody, institutional ownership, reserve/investment adoption |
The table is not a ranking. It is a map of different economic jobs.
The Six-Question Value-Capture Test
- What cash flow or economic benefit is being created?
Reserve income, fees, spreads, management fees, custody, processing, or something else? - Which control point is difficult to reproduce?
The asset, deposit base, distribution, license, authoritative record, liquidity, or connectivity? - Who owns the customer relationship?
The technology provider may sit underneath someone else's brand and distribution. - Does interoperability make this participant more central or more replaceable?
- Does higher volume create pricing power—or merely lower margins?
- What operating evidence would prove value capture?
Real payment usage, AUM, deposits, collateral savings, production settlement volume, retention, or durable network fees?
This test moves the discussion from “which token wins?” to business economics.
What Should We Watch From Here?
- Stablecoins: how much use moves beyond crypto trading into payroll, commerce, treasury management, and settlement?
- Banks: do tokenized deposits and stablecoin partnerships preserve customer relationships and deposits while creating new fee businesses?
- Asset managers: do tokenized funds gain assets and usage because they improve distribution, transfer, or collateral utility?
- Market infrastructure: do tokenized collateral and settlement reduce measurable liquidity buffers, fails, reconciliation work, or operating costs?
- Blockchain networks: does institutional activity produce durable switching costs and fee economics, or does interoperability abstract the chain away?
- Partnerships: does more value accrue to the crypto-native front end, the regulated bank, or both through different parts of the workflow?
- Bitcoin: does its reserve/investment role deepen independently of payment and tokenized-securities infrastructure?
Conclusion: Follow the Control Point, Then Follow the Cash Flow
The old debate asks whether crypto beats banks.
The current market is already making that map obsolete.
Banks can use public blockchain rails. Crypto platforms can depend on banks for fiat settlement. Asset managers can tokenize regulated funds. Market infrastructure can connect all of them. Blockchains can carry more activity without necessarily owning the end customer. Bitcoin can remain economically important without becoming the settlement asset for every tokenized market.
Follow the control point. Then follow the cash flow. The participant that creates the most activity is not always the participant that captures the most durable economic value.
That is why on-chain finance is unlikely to produce one universal winner.
It is more likely to redistribute margins, customer relationships, and infrastructure power across a financial system that increasingly mixes old institutions with new rails.
Key Terms
value capture
The ability to keep part of the economic benefit created by a product, service, or infrastructure change.
deposit franchise
A bank's ability to attract and retain deposits as a relatively stable source of funding and customer relationships.
reserve economics
The income, cost, liquidity, and risk associated with assets held to back a financial claim such as a stablecoin.
distribution
The customer relationships and channels through which a financial product reaches users.
interoperability
The ability of different financial networks, ledgers, institutions, and data systems to work together.
commoditization
The process by which competing services become easier to substitute, often reducing pricing power even if total market volume grows.
On-Chain Finance Series
- What Is Asset Tokenization? Why Putting Real Assets On-Chain Is Not the Same as Creating a Coin
- What Are Tokenized U.S. Treasuries? Why Government Bonds Are Moving On-Chain
- How the U.S. Is Integrating Crypto: Bitcoin, Stablecoins, and Tokenized Finance
- Wall Street Is Moving On-Chain. What Does That Actually Mean?
- Where Does the Value Go When Finance Moves On-Chain? Banks, Stablecoins, Bitcoin, and Tokenized Assets
Sources
- J.P. Morgan — Latest Milestones at Kinexys, April 28, 2026.
- Franklin Templeton — Five Years of BENJI, April 30, 2026.
- DTCC — DTC-Tokenized Assets Power Successful U.S. Trades, July 15, 2026.
- Citi — Citi and Coinbase Expand Collaboration to Connect Digital and Fiat Payments, September 28, 2026.
- DTCC — Tokenization, at Scale: Why Market Infrastructure Still Matters, July 1, 2026.
- DTCC — Why Interoperability Matters for the Next Phase of Tokenization, September 28, 2026.
- U.S. Government Publishing Office — GENIUS Act, Public Law 119-27, July 18, 2025.
- BIS — Stablecoins and Safe Asset Prices, updated through 2026.
- Federal Reserve — Banks in the Age of Stablecoins, May 1, 2026.
- Federal Reserve Bank of New York — Stablecoins vs. Tokenized Deposits, February 2026.
- DTCC — Fund/SERV Adds Ondo Finance as First Tokenization Member, September 16, 2026.
- DTCC — Tokenized Collateral Could Unlock Billions in Capital, May 13, 2026.
- White House — Strategic Bitcoin Reserve Executive Order, March 6, 2025.
Updated: October 3, 2026 · Sources checked through: October 3, 2026 · This article maps possible value-capture mechanisms; it does not rank companies, assets, or networks and does not assume that higher activity automatically produces higher profitability. Community, YouTube, Hacker News, and public social-media discussions were used to identify reader questions, not as factual authority.