从 DeFi 到 DeFAI:AI 如何重新定义去中心化金融

投研日志Pubblicato 2025-01-08Pubblicato ultima volta 2026-06-17

Introduzione

相比目前大热的AI Agent赛道,DeFAI 仍处于早期,并被认为是能够产生实际用例的潜在赛道。

从 DeFi 到 DeFAI 的新范式

在加密行业的历史进程中,DeFi(去中心化金融)的出现如同一次金融领域的“启蒙运动”。它通过去中介机构、引入开放式协议,让每个人都可以自由参与借贷、交易、收益聚合等金融活动。改变了传统金融的游戏规则。这种技术革命推动了“DeFi Summer” 盛况,无数用户涌入并参与去中心化借贷协议、自动化做市商(AMM)和流动性挖矿项目。短短几个月,DeFi 的总锁仓量(TVL)从十几亿美元飙升到百亿美元,彻底颠覆了传统金融的认知。

但如今,DeFi 曾经的喧嚣似乎正逐渐淡去。曾经高高在上的 TVL 停滞甚至下滑,用户活跃度下降,而流动性挖矿的红利被挖掘殆尽后,项目增长乏力。操作复杂性和高风险更让新用户望而却步。最重要的新的叙事未能及时接棒,DeFi 在创新不足的困境中步入低潮,仿佛在这片喧嚣过后的角落里悄然“沉睡”。

与此同时,人工智能(AI)正在快速渗透各个行业。无论是通过数据分析预测市场趋势,还是自动化交易和个性化服务,AI 在金融领域展现出了巨大的潜力。过去,AI 更多地被视为一个辅助工具,但当它与 DeFi 相结合时,一种新的金融形态正在悄然兴起:DeFAI(去中心化人工智能金融)。

DeFAI 的出现标志着去中心化金融的又一次革命,AI 赋能的智能协议、自动化投资策略和个性化服务将重新定义 DeFi 的规则。它不仅有望降低用户参与门槛,还可以通过更精细的风险控制和市场预测,大幅提升资金利用效率。相比目前大热的AI Agent赛道,DeFAI 仍处于早期,并被认为是能够产生实际用例的潜在赛道。

AI 如何赋能 DeFi:让金融更智能、更高效

1.智能风控:优化借贷平台的风险评估

在 DeFi 借贷平台中,风险评估一直是关键环节。AI 的强大数据分析能力可以实时监控用户的信用记录和市场动态,从而优化借贷平台的风控模型。例如,AI 可以通过分析链上数据(如用户历史交易记录、资产持有量)来精准预测借贷风险,降低违约率。这种智能化的风控机制,能够更好地保护平台和用户的利益。

2.市场预测:助力用户做出更明智的投资决策

AI 模型通过机器学习算法可以捕捉市场中微小的波动,预测代币价格走势。用户可以基于这些预测,调整自己的投资组合或参与流动性挖矿。例如,结合 AI 分析的交易信号和市场情绪,可以帮助用户更科学地选择何时买入或卖出,从而提升投资收益。

3.流动性管理:动态优化资金池分配

流动性池是 DeFi 的核心,但资金池的资产分配不平衡可能导致收益下降或流动性枯竭。AI 可以实时分析资金池的交易量、用户需求和市场变化,动态调整资金池中的资产分配。例如,根据市场流动性状况,将更多资金分配给需求较高的资产对,从而提高资金利用率和整体收益率。

DeFAI 赛道投资机会

1.Griffain

由 SOL 基金会支持的交易友好型 AI。Griffain 提供两种类型的 AI 代理:个人代理 和 特定任务代理。

个人代理

• 自定义的 AI 代理,由你创建和控制。

• 可执行链上操作或搜索信息,并在未来能够将任务委托给特定任务代理。

• 如果代理无法完成任务,可以更新其指令以指定具体的行动路径。

特定任务代理

• 由 Griffain 创建,专注于完成特定任务。

• 仅对抢先体验用户开放使用。

2.Hey Anon

HeyAnon 是一种 AI DeFi 协议,旨在简化 DeFi 交互并聚合与项目相关的重要信息。通过将对话式 AI 与实时数据聚合相结合,HeyAnon 使用户能够管理 DeFi 运营、随时了解项目更新并分析跨各种平台和协议的趋势。它集成了自然语言处理来处理用户提示,执行复杂的 DeFi 操作,并从多个信息流中提供近乎实时的洞察。

3.The Hive

The Hive 是 Defi 代理聚合器和工具包。用户使用The Hive ,能够直接从自己的钱包进行交易、查询链上交易数据等。此外,The Hive 将能够启动代理,通过无缝代理协调共同执行更高级的 DeFi 工作流程。

4.neur

Neur 专为Solana生态系统设计,可实现与 DeFi 协议、NFT 等的无缝交互,是一个交易友好型人工智能。Neur 目标是为 Solana 网络构建最先进的接口,使用户能够设计用于自主操作和自定义策略的AI 代理。这些代理将实时区块链数据与实时互联网洞察相结合,为管理加密生态系统提供集成解决方案。

相关阅读:

平均上涨超 440%,一览 13 个热门 DeFAI 项目

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Dalio's Latest Warning: Don't Get Carried Away by AI, Real Returns on US Stocks in the Next 5-10 Years Could Be -5% to -10%

Ray Dalio, founder of Bridgewater Associates, warns investors against excessive concentration in AI stocks. He argues the current market, dominated by a few AI giants, mirrors historical patterns where revolutionary new technologies lead to high risk, volatility, and uncertainty. While acknowledging AI's transformative potential, Dalio emphasizes that most investors fail at this stage of the cycle by over-concentrating in a handful of leading companies. He cites inherent risks: companies cannot accurately forecast investment needs or external shocks (e.g., monetary policy, geopolitics, taxes), face potential disruption from future technologies and international competition (notably from China), and experience significant price swings. Dalio's core advice is diversification, calling it his "Holy Grail of Investing." He presents a mathematical case that a well-diversified portfolio of 15-20 uncorrelated, good bets offers a superior risk-adjusted return compared to a concentrated position. Dalio also offers a cautious outlook, suggesting U.S. stocks may deliver real returns of -5% to -10% over the next 5-10 years based on valuation and bubble indicators. He concludes that in the face of high uncertainty, the prudent strategy is not to avoid betting entirely, but to avoid large, concentrated bets where one lacks sufficient informational edge. Instead, investors should build a strategically balanced, diversified portfolio.

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Dalio's Latest Warning: Don't Get Carried Away by AI, Real Returns on US Stocks in the Next 5-10 Years Could Be -5% to -10%

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Rain Valuation Approaches $20 Billion: The Battle for U-Cards Extends to Rewards Systems

Rain, a stablecoin payments infrastructure company, is shifting the competitive focus for U Cards from simple issuance to user retention and repeated usage. On June 15, Rain launched "Rain Rewards," an embedded loyalty program capability within its card-issuing infrastructure. This allows partner businesses—like fintech platforms and neobanks—to configure branded loyalty points, earning rules, redemptions, and merchant promotions directly within their card products. The system, built from the 2025 acquisition of Uptop, ensures points are only issued upon final transaction settlement, preventing liabilities from refunds. Trials, such as with Avalanche Card, reportedly boosted spending by 25% among enrolled users. Founded by Farooq Malik and Charles Yoo-Naut, Rain evolved from a tool for managing Web3 company expenses into a full-stack enterprise platform. It is a Principal Member of Visa and Mastercard, enabling partners to issue stablecoin-backed cards and wallets while leveraging traditional payment networks. Notably, the popular U Card Plasma One is issued by Rain under Visa's authority. Rain also integrates with Visa's stablecoin settlement pilot, using USDC for network settlement. Rain's rapid funding reflects growing institutional interest in stablecoin payment infrastructure. It raised a $245 million Series A in March 2025, a $58 million Series B in August 2025, and a $250 million Series C in January of this year, reaching a $19.5 billion valuation. Annualized transaction volume exceeds $3 billion, serving over 200 partners including Western Union and Nuvei. Beyond cards, Rain is expanding into programmable payments. Its June 2026 "Agent Control Layer" allows businesses to set spending rules—like merchant categories, amounts, and frequency—for AI agents before transactions occur. This positions Rain not as a single product but as an operating system for stablecoin payments, handling everything from card issuance and wallet management to rewards, on/off-ramps, and automated compliance. The goal is to enable seamless, often invisible, real-world spending of on-chain assets.

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Rain Valuation Approaches $20 Billion: The Battle for U-Cards Extends to Rewards Systems

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Google TPU Shipments Revised Up by 50%

Recent industry research indicates a significant upward revision in the shipments of Google's TPU (Tensor Processing Unit) chips. Previous expectations for 2027 were set at around 10 million units, but new estimates now point to 15 million units, a 50% increase. This substantial boost directly translates to higher demand across the entire supporting supply chain. Google's TPU clusters utilize a standardized all-optical interconnect architecture. Consequently, key hardware components are deeply integrated and scaled in fixed ratios with the chips. The 15 million TPU target will drive corresponding demand increases for NPO optical engines (roughly a 1:1 match), 1.6T optical modules, OCS optical switches, high-end server power supplies, fiber optics & MPO connectors, and liquid cooling solutions. Among these, liquid cooling is highlighted as the sector experiencing the most significant transformation and offering the most stable potential for excess returns. As next-generation TPU chips reach power levels where traditional air cooling is insufficient, liquid cooling becomes essential. 2026 is forecasted as the first year of substantial adoption for Google's liquid cooling solutions. This shift, coupled with delivery and capacity bottlenecks faced by incumbent overseas manufacturers, is creating a prime window for domestic Chinese suppliers to enter and secure Google's core supply chain. The market size for Google-specific liquid cooling is projected to potentially triple from a baseline of hundreds of billions to around 300 billion units by 2028. The logic for the fiber optic sector is also being rewritten. Once considered a cyclical commodity tied to telecom operator procurement, fiber is now a strategic and scarce resource for AI Data Centers (AIDC). A severe supply-demand imbalance, driven by the long lead time for preform production (18-24 months) and surging demand from cloud giants, is supporting strong performance. Chinese fiber manufacturers are well-positioned to capture a significant share of global AIDC demand, with exports potentially reaching 200-300 million core kilometers in 2026. Overall, the investment focus within the AI computing industry is shifting from pure "chip performance speculation" towards the more certain incremental growth in computing infrastructure and its supporting ecosystem. The upward revision in Google TPU shipments, along with the potential for further doubling by 2028, is seen as solidifying performance visibility for the entire supporting supply chain over the next two years.

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Google TPU Shipments Revised Up by 50%

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