• While RWAs are framed as a way to bring stable yield into DeFi, their deeper role is as foundational infrastructure that connects blockchain to real-world economic activity.
• Most tokenized RWAs are limited in scale and user distribution, with heavy reliance on institutions. Even some larger assets have few holders.
• AI agents will increasingly rely on onchain financial primitives to allocate capital, transact, and coordinate economically without human intervention.
• For RWAs to scale, onchain systems need robust risk pricing and reinsurance layers. Re is building this infrastructure, enabling risk to be structured and allocated programmatically for both humans and machines.

RWAs are not the product. They’re the infrastructure.

Real-world assets (RWAs) are often presented as the next major unlock for DeFi. By bringing assets like Treasury bills, credit, and real-world revenue streams onchain, they offer transparency, broader access, and yield that is less correlated with crypto-native markets.

Re has been part of this broader movement to bring real economic exposure onchain, helping create financial systems that are more transparent and programmable. But the most important implication of RWAs may not be investor yield.

The biggest long-term users of RWA infrastructure may not be human investors at all.

The familiar case for RWAs.

The current appeal of RWAs is straightforward. Tokenization allows traditionally gated financial assets to move onchain. This improves transparency and expands access to yield.

The model has attracted DeFi users looking for less volatile sources of return. Re’s ecosystem, including assets like reUSD, reflects this broader effort to connect onchain finance with real-world capital flows.

The research also identified a second emerging model: yield-bearing stablecoins that embed RWAs directly into the asset itself. Among the examples included was Re’s reUSD, which packages underlying yield strategies into a stablecoin format that can circulate more broadly across DeFi.

But RWAs are not the real story.

A more interesting shift emerges when we consider who — or what — will be using these systems in the future.

AI agents are beginning to act as autonomous economic participants. They can allocate capital, purchase services, execute strategies, and coordinate with other systems without direct human involvement.

As these agents operate onchain, they will require dependable financial primitives and risk infrastructure — an area where Re is actively building.

Why AI agents need verifiable assets.

Machines cannot rely on informal trust or offchain coordination. They require assets that are legible in code and verifiable within the systems they interact with.

Unlike crypto-native assets such as ETH, stablecoins like USDC, or DeFi yield strategies tied primarily to crypto market liquidity, RWAs represent claims on real economic activity. Tokenized U.S. Treasuries, private credit, commodity-backed tokens like gold, or insurance risk pools introduce signals tied to real-world economic outcomes.

For autonomous systems allocating capital, these indicators offer a more grounded foundation for decision-making than assets driven primarily by crypto market cycles.

Assets like reUSD show how capital connected to real economic exposure can exist within DeFi in a form machines can interact with. This allows autonomous systems to store value, allocate capital, and settle transactions.

RWAs as infrastructure for machine economies.

RWAs are less about offering a new yield product to investors. They represent the asset layer that allows ‘machine-to-machine’ economic activity to function.

As autonomous systems transact and coordinate, they need dependable financial primitives that anchor those interactions to real-world value. When allocating capital, assets tied to real-world outcomes — such as revenue flows or insurance claims — provide signals that reflect real economic activity over crypto-native market cycles.

The scale of this opportunity is becoming clearer as the RWA ecosystem matures. A recent study mapping 501 sources of real-world yield found that only a small fraction have reached meaningful scale onchain.

The missing layer: risk infrastructure.

Economic systems cannot scale without mechanisms to price and absorb risk.

Insurance and reinsurance convert real-world uncertainty into structured financial exposure. Yet traditional reinsurance markets remain opaque, relying on manual underwriting and restricted access that make them difficult for autonomous systems to analyze or participate in.

Some blockchain projects have begun experimenting with bringing risk markets onchain. Nexus Mutual, for example, allows users to pool capital to insure against crypto-native risks such as smart-contract exploits. Etherisc explores parametric insurance models where payouts are automatically triggered when predefined events like flight delays or weather disruptions occur.

These experiments demonstrate how blockchain infrastructure can automate underwriting, pool capital, and trigger payouts programmatically. However, most focus on crypto-native risks rather than the broader institutional insurance and reinsurance markets.

Re is building that missing layer — providing programmable infrastructure through which institutional reinsurance exposure can be structured, analyzed, and allocated onchain. All regulated reinsurance activities are conducted exclusively by Cover Re SPC, a Class B(iii) licensed reinsurer in the Cayman Islands.

Re takes a different approach.

Rather than creating individual insurance products, Re is building onchain reinsurance infrastructure that absorbs and distributes real-world risk programmatically. By bringing reinsurance exposure onchain, Re connects historically closed insurance markets with programmable onchain capital.