Tokenization—representing real-world assets as on-chain tokens—has grown from whitepaper ambition to deployed infrastructure moving billions in capital. Yet a common mental shortcut trips up investors: assuming that growth in tokenized volume automatically translates to profits for the protocols, blockchains, or tokens enabling that growth. Infrastructure scale and investor return are not the same thing. This article walks through the tokenization stack from issuance to settlement, examines where value actually accrues, and maps the competitive forces that determine which layers capture sustainable revenue.
Tokenization as fintech infrastructure
Tokenization transforms an off-chain asset—real estate, Treasury bills, corporate bonds, commodities—into a digital token governed by smart contract logic. The pipeline flows through four stages: asset origination, legal structuring, on-chain issuance, and secondary trading or settlement.
At origination, a traditional asset holder decides to represent ownership or fractional claims on-chain. Legal structuring wraps the asset in entities that satisfy securities law, tax treatment, and custody requirements. Issuance mints tokens on a blockchain, locks metadata into the contract, and often integrates oracle feeds or off-chain verifiers to maintain compliance. Secondary trading happens on decentralized exchanges (DEXs), order books, or private settlement rails, with smart contracts enforcing transfer restrictions, whitelists, and redemption logic.
Each stage introduces technology providers: custody platforms, compliance middleware, oracle networks, settlement layers, and the Layer 1 (L1) or Layer 2 (L2) blockchain hosting the contract. Capital deployed in tokenized assets has grown from millions in 2020 to tens of billions by late 2024, driven by institutional appetite for 24/7 settlement, programmable compliance, and composability with decentralized finance (DeFi) primitives.
Yet deployed capital measures usage, not profit. Think of it like toll roads: a highway carrying ten million cars generates revenue only if someone collects the tolls. The same $50 billion in tokenized Treasuries can flow across infrastructure with zero, modest, or winner-take-all fee capture depending on competitive positioning.
The monetization gap
Growth in tokenized asset volume does not mechanically translate to revenue for the protocols or blockchains beneath it. The monetization gap arises because many infrastructure layers compete on open standards, near-zero marginal cost, or subsidized access to win market share.
Blockchains earn revenue from transaction fees. A tokenized bond trades or rebalances, users pay gas, validators collect fees. But competition among L1s and L2s has driven gas prices toward the cost of computation and data availability. Ethereum's blob space, Solana's low per-transaction cost, and L2 rollups' amortized settlement mean issuers can move billions for basis points. High throughput does not guarantee high margin.
Middleware providers—oracle networks, compliance layers, custody application programming interfaces (APIs)—often monetize through subscription fees or per-query charges rather than percentage-of-volume models. A real estate fund tokenizing $500 million in properties might pay a flat annual license to a compliance platform, decoupling revenue from asset growth. Token holders in these protocols may see governance rights or staking rewards, but unless the protocol captures recurring usage fees or takes a transaction cut, token price appreciation relies on speculation about future monetization rather than current cash flows.
Infrastructure that scales without capturing recurring, margin-rich revenue becomes a public good that benefits users and issuers while leaving token investors with governance theater instead of dividends.
Application-layer platforms—tokenization-as-a-service providers, secondary marketplaces—face the same tension. Platforms can grow assets under management (AUM) rapidly by subsidizing issuance costs or waiving transaction fees to attract institutional clients. Early revenue models often prioritize liquidity and adoption over profit extraction, widening the gap between headline AUM and actual earnings.
Competitive dynamics in the stack
Value capture in tokenization follows the same power laws as other fintech stacks: it concentrates at layers with high switching costs, network effects, or regulatory moats.
Blockchains sit at the commodity end. Issuers can deploy a token on Ethereum, Polygon, Avalanche, or a private chain with minimal code changes. Multi-chain deployment is common, so no single L1 locks in the asset. Validators earn fees, but those fees compete downward as throughput scales. The chain with the strongest DeFi ecosystem or lowest latency wins flow, but marginal revenue per transaction remains thin.
Middleware providers—identity verification, know-your-customer/anti-money-laundering (KYC/AML) gates, transfer restriction engines—can capture value if they become the standard interface between issuers and blockchains. A compliance protocol that integrates with multiple chains and brokers becomes harder to replace. Switching costs rise if the issuer's legal structure references the middleware's audit trail or oracle feed. However, middleware must monetize through fees that scale with usage or lock in enterprise contracts. Many projects issue tokens for governance without clear revenue share, leaving holders with voting power but no claim on cash flows.
Application-layer platforms face the starkest trade-off. A tokenization marketplace that onboards the first $10 billion in real estate tokens can subsidize fees to zero, building a two-sided network of issuers and traders. Once liquidity consolidates, the platform can raise fees or introduce premium tiers. But if the underlying tokens are composable and portable, issuers can migrate to competing venues. The application layer captures value only if it builds a defensible moat—exclusive partnerships, proprietary underwriting, regulatory licenses, or brand trust that can't be forked.
Historically, financial infrastructure concentrates at the layer closest to trust and regulation. Payment rails, clearinghouses, and custodians extract rents because they navigate compliance and manage counterparty risk. Tokenization infrastructure that replicates those functions—regulated stablecoin issuers, licensed digital asset custodians—may follow the same pattern, while purely technical layers remain low-margin.
| Layer | Switching Cost | Network Effects | Monetization Model | Value Capture |
|---|---|---|---|---|
| Blockchain | Low | Moderate | Transaction fees (gas) | Low to moderate |
| Middleware | Moderate | Moderate | Subscriptions, per-query | Moderate |
| Application | High (if moat) | High (if scale) | Trading fees, licensing | Moderate to high |
| Custody/Trust | Very high | Low to moderate | Basis points on AUM | High |
Investor positioning
Investors evaluating tokenization infrastructure must separate usage metrics from revenue certainty. A protocol handling billions in tokenized volume is impressive, but the relevant questions are: Does it charge fees? Are those fees recurring or one-time? Can users bypass the protocol by forking or switching to a competitor?
Token utility varies widely. Governance tokens grant voting rights but often no claim on protocol revenue. Staking models may distribute fees to stakers, but if fees are negligible or subsidized during growth, staking rewards come from inflation rather than real yield. Work tokens—where holding the token is required to perform a service like validation or oracles—can align incentives, but only if the service is in sustained demand and cannot be commoditized.
Due diligence on tokenization projects should trace the revenue path. If a platform tokenizes $1 billion in assets, ask: What does the platform charge? Who pays—issuer, trader, or both? Is the fee a percentage of transaction volume, a flat subscription, or a one-time setup cost? If revenue scales sublinearly with volume (e.g., flat fees for unlimited issuance), then explosive AUM growth can coincide with stagnant or diluted token value.
Equity investments in tokenization infrastructure follow traditional venture logic: look for companies building licensed, regulated services with recurring revenue and high customer switching costs. These might be digital asset custodians, broker-dealers offering tokenization services, or stablecoin issuers earning interest spreads. Token investments, by contrast, require evaluating whether the token is necessary for the protocol's function and whether token holders participate in upside through fee sharing, buybacks, or other mechanisms that convert protocol revenue into token demand.
Early-stage tokenization projects often optimize for adoption over profit, which is rational if the goal is to become the standard. But investors must track the pivot point: when does the protocol start charging sustainable fees, and what evidence suggests users will pay them rather than migrate to cheaper alternatives?
Case studies in nascent markets
Real-world tokenization is still fragmented, but early patterns show where profit pools are forming.
Stablecoin issuers are the clearest winners. Circle (USDC) and Tether (USDT) hold tens of billions in reserves, earn interest on those reserves, and charge users nothing for minting or redeeming (besides blockchain gas). The issuers capture the spread between Treasury yields and the cost of operations. USDC and USDT are infrastructure, but they're profitable infrastructure because they monetize the float, not the transaction. Token holders in stablecoins don't exist—these are centralized companies. The lesson: controlling the asset and the reserve is more lucrative than providing neutral rails.
Tokenized Treasury platforms like Ondo Finance, Franklin Templeton's OnChain U.S. Government Money Fund (FOBXX), and Backed Finance issue tokens representing U.S. Treasuries or money market instruments. These platforms typically monetize via management fees (often 10 to 50 basis points annually) on AUM, mirroring traditional exchange-traded fund (ETF) economics. Revenue scales with AUM, but profit margins depend on operational efficiency and competition. Early movers with regulatory licenses and distribution partnerships (Franklin Templeton's integration with Polygon and Stellar, for instance) capture value through brand and compliance infrastructure. Token holders in these protocols—if governance tokens exist—may benefit from fee sharing, but profitability hinges on sustained AUM growth and fee retention as competitors enter.
Real estate tokenization providers like RealT and Lofty enable fractional ownership of rental properties. Revenue comes from property management fees and transaction fees on issuance or secondary sales. However, real estate tokens remain illiquid, and the platforms face regulatory uncertainty. Profit accrues more to the property managers and platforms (via service fees) than to any issued token. Investors buying the real estate tokens themselves earn rental income, but equity in the tokenization platform is separate and depends on the platform's ability to scale properties under management without proportional cost increases.
Carbon credit tokenization platforms (Toucan Protocol, KlimaDAO) bridge off-chain carbon credits to on-chain tokens. Early models relied on token incentives (inflationary rewards) to bootstrap liquidity. As crypto markets cooled, these platforms pivoted toward service fees—charging carbon credit originators and buyers for verification, bridging, and retirement services. The winner-take-most dynamic here depends on regulatory acceptance and whether platforms can lock in enterprise relationships with carbon registries and corporate buyers. Profitability remains uncertain, but platforms with direct partnerships to off-chain registries are better positioned than those relying purely on speculative token demand.
Across these cases, the pattern is consistent: value concentrates with entities that control regulated access, manage underlying assets, or charge recurring fees tied to usage rather than one-time issuance. Tokenization platforms that act as neutral infrastructure face commoditization risk unless they achieve network effects or regulatory moats.
What this means for builders
If you're building in tokenization, assume that infrastructure alone won't command pricing power. Design for one of three defensible positions: exclusive regulatory licenses (become the compliant on-ramp), sticky enterprise integrations (embed deeply into issuers' legal and custody workflows), or liquidity network effects (be the venue where all secondary trading happens, making your order book irreplaceable).
Avoid governance-only tokens unless you have a credible path to fee-sharing or buybacks. If your protocol charges transaction fees, model what happens when a competitor forks your code and undercuts you by 80%. If the answer is "users switch," then you're in a race to the bottom. Instead, monetize through services that can't be forked: custody relationships, legal opinions, insurance underwriting, or proprietary data feeds.
For developers, treat tokenization as a wedge into traditional finance, not a standalone business model. The profit sits adjacent: lending against tokenized collateral, providing liquidity to illiquid assets, or offering analytics and risk management tools to institutions. Pure issuance platforms will consolidate or commoditize. The sustainable plays are one layer up—services that assume tokenized rails exist and extract value from what flows across them.
Conclusion
Tokenization is transforming how capital moves through financial systems, offering programmability, composability, and 24/7 settlement that legacy rails can't match. But infrastructure growth is not the same as investor profit. The protocols, blockchains, and platforms enabling tokenization face intense competition, near-zero marginal costs, and business models still in flux. Value will concentrate at layers with regulatory moats, high switching costs, or control over underlying assets—just as it does in traditional finance. For investors, the lesson is clear: scrutinize revenue models, not just volume metrics. For builders, the path forward is to design not just for scale, but for sustainable margin and defensibility in a market that will eventually demand both.