The most important question about tokenization has changed.
For years it was: Can financial assets be represented on a blockchain？
Now the more useful question is: Who earns money when those assets move, trade, borrow, settle and generate yield onchain？
That is the central argument of Breaking the Wall, a new long-form report published on October 8, 2026 by Citrini Research. The firm sees a potential convergence between traditional finance, programmable assets and AI-operated financial workflows. But it cautions against a shortcut that has dominated crypto market narratives: assuming that broader blockchain adoption automatically makes Bitcoin, Ether or every token associated with tokenization more valuable.
The report's framing is a thesis, not a proven forecast. Tokenized stocks and bonds can grow while some blockchain tokens underperform. Conversely, a service provider can build a valuable business from onchain activity without issuing a token at all.
This distinction is not academic. It determines how investors should evaluate the rapidly expanding set of companies, protocols and governance tokens marketed as “RWA winners.”
Asset Growth, Network Usage and Value Capture Are Three Different Things
Imagine $10 billion of tokenized government securities issued on a blockchain.
That is a large headline issuance figure. But what happens economically depends on how the tokens are used.
If institutional investors buy the securities and hold them, outstanding tokenized supply rises while trading fees may remain low. If the tokens become collateral, a lending protocol may earn recurring borrow fees. If holders trade them actively, a venue may earn spreads or transaction fees. If settlement uses a stablecoin, the issuer or distributor may benefit from larger outstanding dollar balances. A transfer agent, custodian or tokenization platform may collect servicing revenue regardless of whether the underlying tokens move frequently.
These are separate businesses with separate fee sources.
The correct analytical chain is:
tokenized assets outstanding → user activity → gross fees → net protocol/company revenue → cash available to the relevant owner → valuation.
A gap at any step can break the investment thesis.
Why Layer 1 Tokens Are Not Automatic Winners
Public blockchains provide settlement and execution. That makes them indispensable infrastructure in many tokenization models. It does not automatically establish how much economic value their native assets capture.
Consider a share-backed stock token settling in USDC. Its lifecycle may involve a regulated broker, a market maker, a transfer agent, a custodian, a stablecoin issuer, a blockchain and perhaps a lending application.
The blockchain may collect a small gas fee. The broker might collect trading or servicing revenue. The market maker might earn spreads. The issuer of settlement money could receive reserve economics. A lending protocol might earn interest-related fees when the security is pledged as collateral.
A large notional trading volume therefore cannot be equated with an equally large revenue pool for the chain's native token.
A valid Layer 1 value thesis still may exist through gas demand, staking economics, monetary premium or security demand. But it must be measured rather than assumed.
This is why tokenization will grow and ETH must rise in proportion are not the same proposition.
The Six Fee-Capture Layers
1. Issuance, custody and transfer agency
A token representing a financial asset needs a legal link to the underlying security or fund interest. Someone handles investor eligibility, recordkeeping, corporate actions, custody and the rights attached to that asset.
Citrini highlights Securitize as an example of infrastructure exposed to this activity. The economics in this category are closer to software, financial administration and regulated services than to speculation on block space.
The revenue question is whether the provider earns one-time issuance fees, recurring servicing fees, custody revenue, a percentage of assets or a combination. The margins and switching costs can be very different across those models.
2. Trading and brokerage
Tokenized assets need secondary liquidity. A venue can earn fees from trading and a market maker can earn spreads for providing inventory.
Citrini's public-company basket includes Coinbase and Robinhood as platforms that could benefit from a larger universe of tradable assets. It also discusses decentralized venues such as Aerodrome and Uniswap.
However, a venue's reported volume is not equal to its retained revenue. Incentives paid to liquidity providers, fee rebates, market-maker economics and protocol distribution agreements all matter.
A robust analysis should ask: how much net fee income is left after attracting and maintaining liquidity？
3. Stablecoin settlement and distribution
An onchain security requires a cash leg. In many markets that cash leg is USDC, USDT or another stablecoin.
The stablecoin's economic model can include reserve earnings, transaction fees or negotiated revenue-sharing agreements with distributors.
Citrini identifies Circle as a potential beneficiary of settlement demand. But even if more securities settle in USDC, the value retained by Circle depends on interest rates, reserve composition, distributor economics and competitive pressure.
Importantly, the end user may not hold the stablecoin for long. High transaction throughput and high average outstanding balances are very different sources of value.
4. Lending and collateral
The larger structural opportunity may appear when tokenized shares, bonds and funds become acceptable collateral.
A user could borrow against a tokenized Treasury fund, hedge a stock exposure or finance inventory without moving assets back through a traditional brokerage every time. Protocols such as Aave and credit platforms such as Maple could play roles in those transactions.
But collateral eligibility is not automatic. The token must have a reliable price, enforceable rights, liquid markets, compatible transfer restrictions and acceptable liquidation procedures.
A tokenized stock that cannot be legally liquidated by a lender is not useful collateral merely because an ERC-style representation exists.
5. Yield transformation and derivatives
Once tokenized assets generate income or trade continuously, markets can develop around future yield and price exposure.
Citrini mentions Pendle for trading cash-flow characteristics and Derive and other perps venues for derivatives. The opportunity is a more complete financial stack around tokenized assets.
The potential fee pool depends on actual hedging demand, liquidity, funding and risk management. Derivative volumes can become enormous in notional terms while margins remain thin or losses accumulate elsewhere.
A sustainable business needs more than speculative churn.
6. Oracles and interoperability
Tokenized assets moving across chains require price data, message verification, compliance synchronization and settlement coordination. Chainlink and LayerZero appear among infrastructure exposures discussed in Citrini's analysis.
The economic question is how infrastructure providers are paid: per message, per feed, through subscriptions or by a network token. Even a clearly useful oracle can fail to create attractive returns for a token holder if the token's rights do not include the relevant cash flows or if issuance dilution offsets demand.
Technical importance and investable value remain separate.
Why AI Agents May Change the Size of the Market
Citrini's report ties tokenization to the emergence of software agents that can compare financial products, manage balances and initiate transactions automatically.
An agent that can move between cash, Treasury funds, collateralized loans and hedges without human paperwork could create a much larger number of small financial transactions. Traditional market infrastructure often assumes a human or institution initiates each step during defined operating hours.
Programmable assets fit a more continuous model.
But the idea has a second-order risk. If millions of agents repeatedly move deposits toward the highest yield or away from a perceived weak counterparty, funding could become faster-moving and more unstable. A technology that lowers transaction friction can make bank-like run dynamics more rapid as well.
Therefore, more autonomous finance does not automatically mean safer or more stable finance. It raises the value of risk limits, identity, delegated permissions and liquidity backstops.
A Value-Accrual Scorecard for RWA Tokens
Instead of treating every RWA-linked project as one trade, analysts can ask six concrete questions.
First, what is the actual unit of customer demand？ Is the product used for issuance, trading, payments, collateral or income management？
Second, who invoices the customer？ A legal entity may collect the fee while a protocol merely routes the transaction.
Third, what remains after incentives？ Liquidity mining, rebates, token rewards and operating costs can absorb a large share of gross revenue.
Fourth, what rights does the token confer？ Governance, fee discounts, staking or buybacks are different from legal equity claims. The existence of protocol revenue does not establish that holders receive it.
Fifth, what happens under competition？ More providers can increase market size while compressing take rates.
Sixth, what happens under stress？ A lending protocol with attractive fee income may also face bad debt, oracle failure or legal uncertainty about liquidating tokenized collateral.
A strong thesis should survive all six questions.
Why It Matters
The emergence of tokenized stocks, funds and credit products makes the industry easier to analyze through familiar financial logic.
Rather than relying only on narratives about future market capitalization, analysts can observe actual borrowers, transaction fees, reserve balances, issuer servicing revenue and settlement costs.
That is a sign of maturation. It also makes the investment process less comfortable for projects that depend on a vague association with a popular trend.
Tokenization is a technology adoption theme. Value accrual is a business-model question. Mixing the two can produce expensive mistakes.
Risks and Counterarguments
Citrini's forecast is not an established outcome. The regulatory perimeter remains fragmented, especially across securities, collateral and cross-border transfer systems. Liquidity may not migrate to public chains as quickly as enthusiasts expect.
Traditional intermediaries could capture most of the economics even if blockchains process transactions. Token holders might capture none. Fee compression can also make high-volume financial infrastructure less profitable than its notional activity suggests.
The report's stock and token lists are analyst hypotheses, not evidence that those instruments have already captured the anticipated value. Any investment view requires fresh valuation, financial statements, token-distribution data and protocol-level revenue analysis.
What to Watch Next
Watch three categories of real-world evidence: tokenized-asset supply that becomes usable as collateral; real net fee revenue to the company or protocol providing the service; and explicit mechanisms that transmit that revenue to equity or token holders.
Also watch the first large-scale agent-operated financial products. The most durable market opportunity may sit wherever programmable settlement meets legally enforceable ownership and a customer willing to pay for the service.
The best future tokenization dashboard will track not only how much finance moved onchain, but who got paid, how much they kept, and who owns the resulting cash flow.
FAQ
Does tokenization automatically increase Bitcoin or Ether prices？
No. Tokenization can increase blockchain use without delivering proportional revenue or demand to the native assets. The value-capture mechanism needs to be analyzed separately.
Which businesses could benefit from tokenization？
Potential beneficiaries include regulated issuers, transfer agents, custodians, brokers, market makers, stablecoin providers, lending protocols, derivatives venues, oracle networks and interoperability services.
Does higher DEX trading volume guarantee a governance token will appreciate？
No. Trading volume, protocol revenue, incentives, token supply and tokenholder rights are different variables.
Why might AI agents accelerate tokenization？
Agents can operate continuously and move between services programmatically, creating demand for machine-readable assets and settlement. Adoption remains uncertain and introduces new risk-control requirements.
Is Citrini's October 8 report an investment recommendation？
It is a research firm's thematic thesis. Its named companies and tokens should be evaluated independently through valuation, risk and actual fee-capture data.
