AI Reduces DeFi Code Costs, Elevating Distribution, Capital, and Data as Key Moats

While artificial intelligence is rapidly reducing the cost and time to build DeFi protocols, the fundamental drivers of long-term value and defensibility in finance are shifting away from code towards user access, financial resources, and unique data insights, according to Spencer Applebaum, a partner at Multicoin Capital. In an era where core lending or trading software could potentially be assembled in a weekend using AI tools, code alone is unlikely to provide a lasting competitive edge.

Multicoin Capital argues that as AI makes software development cheaper and faster, the true value in financial businesses will increasingly lie in elements that AI cannot easily replicate: distribution channels, capital, and proprietary data. This shift is particularly relevant for DeFi, which is positioned to capture a significant portion of the trillions of dollars in financial activity expected to migrate on-chain in the next decade.

The Commoditization of Code

The commoditization of code means that building a functional DeFi protocol is becoming significantly easier. Five years ago, creating a minimum viable product for a DEX or lending protocol might have required substantial funding, a dedicated engineering team, and months of development. Today, AI tools can accelerate this process dramatically, potentially allowing for the assembly of core trading engines and interfaces within a single weekend. However, this ease of creation does not translate into defensible moats.

The Three Pillars of DeFi Moats

Instead, the durable competitive advantages in DeFi are identified as three key pillars: distribution channels, capital, and proprietary data. A fourth element, risk tolerance, is seen as a more temporary wedge into specific market segments.

Distribution Channels: The New Gatekeepers

Distribution channels, such as user interfaces and wallets, are emerging as critical value capture points. For instance, stablecoin issuers like Tether have generated over $20 billion in interest income since 2021 from their reserves. More recently, platforms like Hyperliquid have leveraged their control over distribution to negotiate a larger share of revenue. By holding over $6 billion in USDC collateral, Hyperliquid secured an arrangement where approximately 90% of its reserve yield, potentially around $185 million annually, now flows to its own ecosystem rather than to stablecoin issuers like Circle.

Similarly, frontend applications and wallets are capturing significant value. MetaMask, for example, charges up to 0.875% in fees for swaps, a rate considerably higher than Uniswap’s average fee of 0.13%. This indicates that controlling the user interface and customer relationship can yield greater returns than the underlying transaction execution, especially given the low user migration costs in crypto. Applebaum suggests that entities like Robinhood, with its 28 million funded accounts, could potentially leverage their distribution power to launch their own DeFi protocols and redirect user flow.

Capital: The Foundation of Financial Stability

Capital remains a fundamental moat in finance, as AI cannot create funds out of thin air. While liquidity can be attracted through incentives, durable advantages come from forms of capital that can absorb losses or provide essential financial services. This includes the development of DeFi prime brokerage services, which offer leverage and trading financing, and protocol-owned capital that provides a buffer during extreme market conditions.

Proprietary Data: Unlocking Niche Opportunities

Proprietary data represents another significant moat. On-chain activity generates vast amounts of data that traditional financial institutions cannot access. Firms specializing in underwriting and pricing novel on-chain assets, such as USD.ai for GPU collateral loans or Project 0 for DeFi collateral financing, are leveraging this unique data to build defensible positions.

Risk Tolerance: A Wedge, Not a Moat

Risk tolerance, while not a durable moat itself, can serve as an effective wedge into underserved markets. Platforms that cater to niche products or customer segments that larger, more regulated entities avoid can gain initial traction. However, Applebaum cautions that this advantage is temporary, as regulatory scrutiny and market validation often lead to larger players entering the space.

In conclusion, Multicoin Capital posits that as AI continues to commoditize software development, the future value accrual in DeFi will be concentrated among entities that control distribution channels, possess significant capital, and leverage proprietary data. While code can be easily replicated or generated by AI, these core elements of financial business remain scarce and difficult to replicate, forming the true durable moats in the evolving DeFi landscape.

Why This Matters

The materials describe a narrow update: Spencer Applebaum of Multicoin Capital argues that while AI is making software development, including DeFi protocols, cheaper and faster, the true value and defensible moats in finance lie not in code but in distribution channels, capital, and proprietary data. The exact timeline for the full migration of financial activity to the blockchain.

Broader Context

Source materials place the market analysis in this context: AI 讓程式碼不值錢？Multicoin 拆解 DeFi 真正賺錢的三道護城河.