LlamaRisk, Aave's dedicated risk oversight function, has recommended a series of parameter adjustments to supply and borrow caps across the protocol's V3 instances. The recommendations emerge from systematic analysis of on-chain liquidity conditions, user behavior patterns, and the health metrics of major positions—a methodical approach that contrasts with the reactive governance often seen in decentralized finance. Three assets are targeted for expansion: wstETH on Monad, USDT on the Core instance, and a structured yield product on Plasma.
The most acute constraint appears on Aave V3 Monad, where liquid staking derivatives have become a dominant collateral type. The wstETH supply cap sits at 99.9% utilization with only approximately two tokens of remaining headroom—a precarious position that risks creating friction for new deposits. Risk Stewards propose doubling the cap from 4,600 to 9,200 units, which would bring post-adjustment utilization to a more comfortable 50%. This move carries meaningful implications because all seven major suppliers maintain positions in E-Mode, borrowing WETH against their staked Ether collateral. Their median health factor of 1.01 reflects tight risk exposure, meaning cap expansion directly addresses a genuine market need rather than speculative demand. Since these positions track the wstETH-to-ETH exchange rate, the structural health of the market depends on maintaining adequate collateral availability.
On Aave V3 Core, USDT borrow demand has climbed to 95.5% of its existing 2.57 billion cap. The top twenty borrowers employ a diversified collateral strategy spanning both volatile assets like WETH and wstETH alongside uncorrelated collateral such as USDe. Their health factors range from 1.01 to 2.17, with a median of 1.39, indicating reasonable but not excessive leverage across the cohort. The proposed increase to 3.09 billion represents a meaningful expansion that acknowledges genuine demand for dollar-denominated leverage without materially elevating systemic risk, assuming borrower behavior remains consistent with observed patterns.
These parameter adjustments underscore an important principle in protocol governance: caps exist to protect against unknown unknowns, but they also create artificial friction when binding too tightly. By grounding recommendations in empirical utilization data and health factor analysis rather than arbitrary safety margins, Risk Stewards demonstrate how governance can remain prudent without becoming unnecessarily restrictive. The real test will be whether these expanded capacities attract quality users or simply allow existing risk to compound further.