Tokenization Boom: Who Really Gains?
Citrini’s tokenization report marks a shift to real‑world assets on‑chain. We unpack how it works, who benefits and what to watch next.
Tokenization is finally moving out of the hype‑cycle and into the boardrooms of Wall Street. A new 79‑page study from Citrini Research argues that real‑world assets – stocks, bonds, Treasury notes – are beginning to live on the same blockchains that host Bitcoin and DeFi. If the shift sticks, the biggest winners may be the plumbing that lets those assets move, not the assets themselves.
What happened
According to CoinDesk, Citrini Research – a firm better known for AI and market trend work than crypto cheerleading – released a report titled Breaking the Wall that frames tokenization as the next logical use of the infrastructure built over the past decade. The study points out that U.S. Treasuries, credit, equities and funds are already being minted as on‑chain tokens, and that regulators are clarifying how those securities can be issued. The report does not claim a price surge for Bitcoin (currently $81,577.53) or Ether (currently $2,411.03); instead it asks where the real economics will flow.
Industry voices cited in the piece echo the same question. Arthur Hayes of Maelstrom bluntly called tokenization “better bookkeeping” unless it creates new revenue streams. Christian Magoon of Amplify ETFs sees infrastructure providers as potential “toll booths” on blockchain highways, while Jeff Dorman of Arca expects token‑creation itself to become commoditized. The consensus is that value will emerge after assets land on‑chain – when they are traded, lent, or used as collateral. Zach Pandl of Grayscale adds that owning the underlying networks – Ethereum, BNB Chain, Solana, and possibly Avalanche or Canton – may be the simplest way to capture the upside.
Why it works that way
Tokenization turns a traditional financial contract into a digital token that lives on a blockchain. In practice this means the asset’s ownership record, transfer logic and settlement rules are encoded in a smart contract – a piece of self‑executing code. Because the contract is publicly verifiable, anyone can read the token’s state without needing a custodial intermediary.
The advantage is composability: a token can be moved into a lending protocol, pledged as collateral on a decentralized exchange, or bundled into a synthetic product without rebuilding custody layers each time. Stablecoins already provide cash on‑chain, wallets let users hold both native crypto and tokenized securities, and DeFi protocols supply the lending and trading primitives. Retail platforms such as Robinhood and Coinbase give the distribution reach that traditional finance lacks. Regulators in the U.S. and elsewhere are issuing guidance that treats tokenized securities similarly to their paper counterparts, lowering the legal friction that previously kept most assets off‑chain.
When an AI‑driven financial agent runs a portfolio, it needs assets it can query and move programmatically, 24/7. A tokenized bond or equity satisfies that need because the agent can read its price, borrow against it, or swap it for another token without a human signing a form. The underlying blockchain therefore becomes a “machine‑native” layer for finance, exactly the environment AI agents thrive in.
What changes because of it
The immediate effect is a widening field of potential revenue streams. Issuers can collect fees for minting tokens, but a larger slice will come from post‑mint activity: trading commissions, stablecoin demand, lending interest, and collateral usage. Infrastructure firms that host these processes – such as Securitize, Hyperliquid, Aave and Aerodrome – could act as the toll booths Hayes warned about, capturing a small percentage of each transaction.
Distribution power also shifts. Platforms that already own customer relationships – Coinbase, Robinhood, traditional banks – can package tokenized assets into familiar products, reducing the friction for retail investors. That gives them a strategic advantage over pure‑play crypto services that lack a regulated onboarding pipeline.
Network owners stand to benefit from higher transaction volume. Ethereum, BNB Chain and Solana currently dominate the on‑chain asset space, while Avalanche and Canton are courting institutions with tailored compliance tools. If tokenized assets swell to a $4 billion addressable market in three years, as the report suggests, the fee revenue for these blockchains could grow proportionally, assuming gas costs stay competitive.
However, the upside is not automatic. Token creation is likely to become a commodity, meaning margins on issuance will compress. The real economic moat will be in the “sticky” services that keep assets circulating – lending, borrowing, and collateral‑backed products. Investors should watch where fees actually accrue: protocol tokenomics, custody‑as‑a‑service contracts, and the integration of AI agents that can automate yield‑optimization. If AI agents become the primary managers of on‑chain portfolios, providers that expose clean APIs and low‑latency settlement will earn a premium.
For most retail holders, the shift does not change the price of Bitcoin or Ether directly. The benefit is more about access: being able to buy a fraction of a corporate bond at 2 a.m. without a broker, or using that bond as collateral for a DeFi loan. The downside is added complexity and the risk that new fee layers could erode returns, especially if regulatory scrutiny tightens around tokenized securities.
In short, tokenization turns financial assets into software components. That conversion opens up new revenue streams for infrastructure and distribution players, while the assets themselves remain a vehicle for investors. The story to follow will be which firms can capture the “toll” and which AI agents will become the default portfolio managers.
