DeFi is not for the market, but for gas

Comment by: João Garcia, DevReal by Cartesi. Decentralized finance presents itself as an obvious alternative to Wall Street. However, he mostly rebuilt a simplified version of finance, designed around market stability and less restrictions on gas fees. Once that trade-off is dismissed as a technical footnote, it's shaping the boundaries of what DeFi can be.

As long as balance sheets remain the primary concern, financial strength will remain secondary, and periods of market stress will continue to expose that imbalance.

When the markets move faster than the virtual machine

DeFi has rebuilt the familiar financial architecture, including exchanges, credit markets, derivatives, and stablecoins. However, the way these systems work reveals how tightly they are tied together in their performance environment.

Risk criteria remain static, and although collateral limits can adjust, they usually do so through administrative processes rather than automatic readjustment. Liquidity engines currently rely on fixed formulas rather than alternative portfolio models that change volatility or correlation. What is seen as a design choice is often a compromise to computational constraints.

On Ethereum and similar chains, floating-point arithmetic does not exist or is simulated, repeated simulations are expensive and the constant recalculation of asset exposure can quickly materialize. The result is that financial logic is compressed into deterministic and executable forms, even if this compression destroys its essence.

This architecture works well enough under stable conditions, but dynamics have a way of testing the edges. In the year During MakerDAO's “Black Thursday” event in March 2020, Vault was effectively launched with zero auctions as auction mechanics struggled with price drops and network congestion.

In later failures, protocols such as Aave and Compound relied on mass liquidity triggered by fixed collateral ratios rather than dynamic portfolio recalculations. In the year As Curve Pools destabilized following smart contract exploitation in 2023, the concern shifted outward to lending protocols, which treat LP tokens as permanent collateral, increasing systemic risk.

In each case, decentralization itself was not the tipping point. Instead, rigid financial logic operates in the execution layer and cannot continuously calculate risk as conditions deteriorate.

Traditional markets have evolved in the opposite direction. Banks and clearinghouses simulate thousands of stress scenarios, recalculating exposure as relationship transitions and volatility regimes change. Margin requirements respond dynamically to market conditions, and that response is driven by advanced computational infrastructure and mature quantitative tools. Public blockchains, by contrast, are not designed with that repetitive financial process in mind.

The illusion of simplicity.

Limiting computational complexity reduces certain attack surfaces. Simplicity at the protocol layer, however, does not solve complexity in the financial system. It just pushes him elsewhere.

When risk cannot be clearly modeled and calculated on-chain, it moves off-chain to dashboards, analytics teams, decision-making metrics adjustments, and emergency management coordination. The suspension may remain a layer of resistance, but the adaptive intelligence that stabilizes the system operates outside of it. During variable speeds, protocols depend on quick human coordination to adjust parameters, while oracles and large token holders have a disproportionate influence on outcomes.

The system retains its decentralized basis, but its ability to respond dynamically depends on actors acting beyond a certain performance. What appears to be structurally simple at the smart contract level may hide a more complex and less transparent practical reality.

DeFi did not converge on simple finance because fixed ratios and deterministic curves were advanced. Rich computational models were too expensive to run, so it clustered there. As markets expand, energy increases, and devices become more interdependent, that consensus becomes harder to ignore. Fixed roofs and solid-liquid engines, which are initially buffers, can begin to act as stress amplifiers.

Calculation as the missing predecessor

The deep suspension, beyond the reliability, is the design of the performance.

The financial design space expands as verifiable execution environments begin to consider general-purpose computer systems. Native floating-point support, recursive algorithms, and access to built-in numerical libraries allow models to be directly expressed rather than translated into simple approximations.

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This change allows credit protocols to incorporate scenario-based stress testing instead of relying primarily on fixed collateral ratios. Margin requirements may be adjusted in response to observed volatility rather than management efficiency. It could also see credit systems calculate multi-variable risk scores more transparently, replacing binary heuristics with more qualitative assessments.

The aim is not to introduce complexity for its own sake. It's about keeping financial intelligence in the protocol, where it's visible and actionable, rather than relegating it to an operational level that users can't easily audit. This makes the broader point that the limitations faced with DeFi are largely architectural choices, not decentralization.

Reliability ceiling

DeFi now stands at a structural crossroads. One direction maintains gas-optimized minification, keeping base-layer performance clean while allowing increasingly sophisticated financial logic to migrate off-chain. That approach can preserve transparency at the smart contract level, but limits how decentralized finance can be scaled responsibly.

The alternative is to treat computation itself as a first-order primitive and embrace more efficient execution environments that can explicitly test for adaptation, computation, and stress. If complex risk logic cannot exist on-chain, DeFi will continue to provide simplicity in code based on common sense in practice.

Markets do not adjust their complexity to accommodate virtual machine limitations. If decentralized finance is to work on a meaningful scale, computing foundations must evolve alongside the financial ambitions built upon them.

Comment by: João Garcia, DevReal Lead at Cartesy.