Aave's Internal Conflict Escalates, Morpho Quietly Doubles: Is the Lending Throne About to Change Hands?

Odaily星球日报Publicado em 2026-03-01Última atualização em 2026-03-01

Resumo

The article discusses the escalating internal conflicts within Aave and the rising prominence of Morpho in the decentralized lending space. While Aave remains the largest lending protocol by total value locked (TVL), it is facing significant governance disputes, including a controversial $51 million funding proposal and accusations of poor fund utilization by its team. These issues have slowed decision-making and created internal division. In contrast, Morpho has gained attention due to its modular, permissionless lending infrastructure, Morpho Blue, which allows for isolated markets with independent risk parameters set by curators rather than relying on slow global governance. This design reduces friction and enables faster adaptation. Morpho’s metrics show strong growth: TVL surpassed $9.5 billion in late 2025, active loans exceeded $3.5 billion, and quarterly active addresses grew from 30,000 to 400,000. Protocol revenue remained stable around $50 million per quarter. A major catalyst for Morpho is the involvement of traditional finance. Apollo Global Management plans to acquire up to 90 million MORPHO tokens (9% of supply) over four years, worth approximately $162 million at current prices. This signals institutional interest, potentially using Morpho’s leveraging RWA (real-world asset) products for higher yields. Despite Morpho’s growth, it still trails Aave in TVL. However, Aave’s governance challenges may provide an opportunity for Morpho to capture market share. Th...

Original | Odaily Planet Daily (@OdailyChina)

Author | DingDang (@XiaMiPP)

Altcoins are dead—this is a consensus that crypto users have been reluctant to admit but have had to face over the past year. Even former blue-chip tokens have fallen into prolonged sideways movement or gradual declines amid the continuous market weakness, showing little sign of recovery.

However, amidst this overall slump, the MORPHO token has rebounded from a low of $0.96 in early February to the $1.8-$1.9 range, doubling against the trend. From the daily chart perspective, this rebound has largely formed a rounded bottom pattern, potentially signaling a bottom reversal. Is this surge merely driven by short-term market sentiment, or is it the start of a trend fueled by fundamental and structural factors?

When the Old Dynasty Begins to Consume Itself

Morpho is a lending protocol launched in 2021. Initially, its mechanism was similar to lending protocols like Aave and Compound. However, in 2023, Morpho began rolling out Morpho Blue (now its main version), completely transforming into an independent, permissionless lending base layer, firmly positioning itself among the top lending protocols in the Ethereum ecosystem.

That said, in the lending sector, Aave remains the largest by volume and the strongest in brand—an undeniable fact. But recently, Aave has once again found itself in serious governance controversy due to a $51 million "Aave Will Win" funding framework proposed by its founder, Stani.

This fund was originally intended to support new product development, and the proposal explicitly stated that future related brand revenue would be 100% returned to the DAO treasury—a move that seemed like an ideal operation of "surrendering control and benefiting the community" by the project team. However, it unexpectedly ignited long-simmering internal conflicts within the DAO.

The reason is that DAO governance representative and ACI founder Marc Zeller publicly released an "audit" report on February 25, accusing Labs of low fund utilization, having taken approximately $86 million from the DAO over the past few years without transparent disclosure. Meanwhile, core DAO developer BGD Labs announced it would exit in April 2026 due to governance friction. The founder's high voting power once again dominated the controversial proposal, further pushing the entire DAO into an open tug-of-war over power and fund distribution. As early as December last year, cracks had already appeared within the Aave community. For details, refer to Can You Still Buy AAVE Amid Deep Divisions After the Second-Largest Holder Dumped Their Bag?.

Now, as Aave slows down due to governance friction, the "simplicity" of Morpho's governance model is beginning to catch many people's attention. Aave can be considered the first-generation lending governance paradigm of "DAO-led, global parameter adjustment," where all risk parameters (such as collateral factors and liquidation thresholds) are determined by global DAO voting. While this design ensures overall robustness, it easily leads to governance bottlenecks—any minor parameter adjustment requires broad community consensus, and any disagreement can delay decisions, especially during contentious periods, potentially paralyzing decision-making.

In contrast, Morpho follows a second-generation path of modularity and market-driven mechanisms: the protocol itself is highly permissionless, allowing anyone to create isolated markets at any time. The risk parameters for each market (such as LTV, interest rate curves, and liquidation incentives) are set by independent professional risk managers (curators), rather than relying on全网 DAO voting. This means risks are strictly localized within individual markets, with responsibility分散 to specific curators, significantly speeding up decision-making. Curators can quickly iterate parameters based on actual market conditions without waiting for global consensus. The advantage of this design is that it greatly reduces governance friction and decision delays.

When the old dynasty begins to consume itself, it may be an opportunity for new forces to overtake on the curve.

Data Verification: Does It Deserve This Window?

Let's look at Morpho's fundamentals to see if it has the potential to challenge Aave's lending throne. According to Tokenterminal data, in Q3 and Q4 of 2025, Morpho's protocol TVL remained above $9.5 billion, an increase of about 80% compared to the first half of the year.

The active loan size within the protocol also stayed above $3.5 billion in both Q3 and Q4, a year-on-year increase of about 80%.

In terms of protocol revenue—one of the core metrics for DeFi protocols—aside from relatively weak performance in Q2, it remained stable at around $50 million in other quarters.

User growth is even more直观, with its quarterly active addresses rapidly expanding from about 30,000 in Q1 to the 400,000 level, showing strong organic growth momentum.

Although Morpho's current TVL and active loan size still lag behind Aave's, its user growth rate has made it one of the most aggressive "dark horses" in the lending sector. Especially against the backdrop of the entire DeFi sector generally under pressure and experiencing阵痛 in 2025, Morpho's performance can be considered achieving counter-trend high growth,足以证明 its product model has withstood market tests. Protocols that can continuously attract funds and users during bear markets often possess stronger爆发力 in the next cycle.

Institutional Variable: When Traditional Capital Starts Betting

Good fundamental data performance only proves that the protocol has a solid foundation, but the bigger catalyst that truly changes the market cap curve is the entry of traditional financial giants.

On February 13, Wall Street asset management giant Apollo Global Management signed a重磅 cooperation agreement with the Morpho Association, the non-profit organization behind Morpho. Specifically,strong> Apollo plans to gradually acquire up to 90 million MORPHO tokens over the next 48 months, equivalent to approximately 9% of Morpho's total supply. At the current price of $1.8, this is worth about $162 million.

From a trading perspective alone, this will bring sustained buying demand for MORPHO. But if you know Apollo, you'll understand that this is more like its strategic penetration into DeFi.

Apollo manages assets close to $940 billion, and its private credit business is known for pursuing high yields. The on-chain world can provide opportunities for leverage amplification and global instant liquidity. Since 2024, it has begun testing the waters in the crypto industry, with RWA as its main battlefield. It partnered with Securitize to tokenize its diversified credit strategy into ACRED, which now reached a scale of $130 million.

However, the core challenge after onboarding RWA has never been issuance but liquidity release. Assets can be tokenized, but without efficient lending markets and leverage environments, their yield potential is difficult to unleash. From Apollo's布局, it is not unreasonable to speculate that it likely intends to use Morpho's lending markets to amplify the yield of its credit products. Because Morpho's modular lending structure provides a天然适配场景 for RWA—isolated markets, independent risk parameters, and customizable leverage environments. These mechanisms are far more attractive to institutions than parameter games under unified governance.

This speculation is not without basis, because although Morpho is highly permissionless, key parameter options still need to be expanded through Morpho DAO governance. If Apollo holds a significant amount of MORPHO tokens, it will gain corresponding voting power and may promote the addition of RWA-friendly parameters. If Apollo's intentions materialize as推测, Morpho's modular design could attract more institutional funds, accelerating inflows and making it key infrastructure for amplifying institutional credit products on-chain. This institutional-level endorsement would not only strengthen Morpho's competitive advantage but also narrow the gap with Aave—especially when Aave is deeply mired in internal governance issues.

Conclusion

Aave's governance crisis may continue to drag down its market cap and liquidity in the short term, while Morpho, leveraging its product structural advantages and institutional catalysts, is quietly rewriting the competitive landscape of the lending sector. However, whether Morpho can truly shake Aave's throne still depends on its continued TVL追赶 and more TradFi players joining the fray. But至少 for now, the power transition for the "second-generation lending leader" has already begun.

Risk提示: MORPHO tokens will undergo a large unlock in March, belonging to the Morpho DAO, Morpho Association reserve, and core contributors. Short-term liquidity impact requires attention.

Perguntas relacionadas

QWhat is the main reason for the recent governance controversy within Aave?

AThe controversy stems from founder Stani's proposal for a $51 million 'Aave Will Win' funding framework, which ignited existing tensions over fund allocation and transparency, particularly after an audit report accused Labs of low fund utilization and lack of disclosure after receiving approximately $86 million from the DAO.

QHow does Morpho's governance model differ from Aave's approach?

AMorpho uses a modular, market-driven model where independent risk managers (curators) set parameters for isolated markets, reducing governance friction. In contrast, Aave relies on global DAO voting for all risk parameter adjustments, which can lead to decision-making bottlenecks.

QWhat significant partnership has contributed to Morpho's recent growth and potential?

AApollo Global Management signed an agreement to acquire up to 90 million MORPHO tokens (approx. 9% of supply) over 48 months, valued around $162 million at current prices, signaling major institutional backing and potential integration for RWA yield strategies.

QWhat key metric demonstrates Morpho's strong user growth despite market conditions?

AMorpho's quarterly active addresses grew from around 30,000 in Q1 to 400,000 by Q4, showing robust organic user expansion even during a period of general DeFi market pressure.

QWhat is a potential short-term risk for MORPHO token investors mentioned in the article?

AThe MORPHO token faces a significant unlocking event in March, with releases to the Morpho DAO, Morpho Association treasury, and core contributors, which could create short-term liquidity pressure on the price.

Leituras Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHá 1h

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHá 1h

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 1h

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 1h

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 1h

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 1h

Trading

Spot
活动图片