Aave Founder Responds To Governance Tension With Strategic Plan – Details

bitcoinistPublished on 2026-01-04Last updated on 2026-01-04

Abstract

Aave founder Stani Kulechov has introduced a strategic plan to address governance tensions and drive long-term growth, following a recent DAO vote where a proposal to transfer full control of the protocol’s brand and front-end assets to the community was overwhelmingly rejected. Kulechov emphasized the need to expand beyond crypto-native lending into real-world assets (RWAs) and institutional markets, targeting a $500 trillion asset base and onboarding millions of users. The upcoming Aave V4 will feature a flexible architecture to support new lending models and asset classes safely. He argued that consumer products should be developed by autonomous teams rather than directly by the DAO to ensure agility, while committing to share off-protocol revenue with token holders and establish clearer branding and revenue alignment.

Aave founder and CEO Stani Kulechov has responded to recent governance tensions within the Aave ecosystem, outlining a strategic plan to address operational control concerns and accelerate long-term growth. The controversy followed a DAO vote on whether the community should assume full control over the protocol’s brand and front-end assets. The proposal was decisively rejected—with 55% voting against, 41% abstaining, and just 3.5% in favor—highlighting persistent questions around value capture and alignment between Aave Labs and token holders.

Time To Scale Beyond Crypto – Aave CEO

In a post on Friday, Kulechov framed the present moment as a crossroads for Aave, emphasizing that the protocol’s growth cannot be limited to its current crypto-native lending products. He sees enormous potential in expanding into real-world assets (RWAs) and institutional markets, projecting that Aave could ultimately support a $500 trillion asset base and onboard tens of millions of users through the Aave App.

Kulechov said:

Today, most of Aave’s lending is concentrated around ETH, BTC, or leverage-driven looping strategies correlated with crypto market cycles. When I started Aave (originally as ETHLend) in 2017, the vision was to use smart contracts to power lending across virtually all asset classes and use cases.

A core aspect of this strategy is the upcoming Aave V4, a modular architecture designed to integrate new lending models and asset classes safely. The design allows innovation without compromising protocol integrity, enabling both crypto-native and RWA-backed use cases while creating a developer-friendly environment to encourage innovation.

Consumer Products, Revenue, And Alignment

Addressing operational concerns, Kulechov stressed that mainstream consumer-grade products needed to onboard millions of users should be developed by independent, highly autonomous teams on top of the permissionless Aave Protocol rather than funded or controlled directly by the DAO. This approach ensures rapid execution while allowing the protocol to benefit from increased usage and revenue.

Kulechov said:

World class consumer products are built by highly opinionated teams with the autonomy to move quickly. While decentralized governance works well for protocol economics, it is not suited for product-level decision making.

Kulechov also pledged to share revenue generated outside the protocol with token holders and confirmed that upcoming proposals will include clear guardrails for branding and revenue alignment. In his concluding notes, Kulechov reinforced his belief in Aave’s potential while also appealing for collaboration to drive the protocol and its native token’s success.

Total crypto market cap valued at $3.02 trillion on the daily chart | Source: TOTAL chart on Tradingview.com

Trending Cryptos

Related Questions

QWhat was the outcome of the recent DAO vote regarding control over Aave's brand and front-end assets?

AThe proposal for the community to assume full control was decisively rejected, with 55% voting against, 41% abstaining, and only 3.5% in favor.

QAccording to Stani Kulechov, what is the key to Aave's future growth beyond its current crypto-native products?

AHe sees enormous potential in expanding into real-world assets (RWAs) and institutional markets, projecting that Aave could ultimately support a $500 trillion asset base.

QWhat is the purpose of the upcoming Aave V4 architecture?

AAave V4 is a modular architecture designed to safely integrate new lending models and asset classes, enabling both crypto-native and RWA-backed use cases while maintaining protocol integrity.

QHow does Kulechov believe mainstream consumer-grade products for Aave should be developed?

AHe believes they should be built by independent, highly autonomous teams on top of the permissionless Aave Protocol, rather than being directly controlled by the DAO, to ensure rapid execution.

QWhat did Kulechov pledge regarding revenue and token holders?

AHe pledged to share revenue generated outside the protocol with token holders and confirmed that upcoming proposals will include clear guardrails for branding and revenue alignment.

Related Reads

DRAM ETF Issuer: Samsung, SK Hynix, Micron All Surpass $1 Trillion, the AI Era of Memory Chips Has Only Just Begun

Authors: Dave Mazza, Thomas DiFazio | Source: Deep Tide TechFlow The article, written by Roundhill Investments (issuer of the DRAM ETF), responds to Morningstar's caution about investing in memory chip stocks. Morningstar warns of the sector's history of boom-bust cycles, a lack of economic moats, and potential momentum-driven overvaluation. Roundhill argues the current situation is structurally different due to AI. Key points in Roundhill's rebuttal include: * **Changed Demand & Supply Dynamics:** AI infrastructure, not consumer electronics, is now the primary growth driver for memory demand. New, strict long-term supply agreements with hyperscalers reflect the high capital intensity of advanced manufacturing. * **Existence of a Moat:** High-Bandwidth Memory (HBM), essential for AI, has extremely high manufacturing barriers. The market is dominated by Samsung, SK Hynix, and Micron, with new entrants blocked by technological complexity and long lead times for equipment like ASML's EUV machines. * **Strong Fundamental Outlook:** Analyst consensus projects the three companies will rank among the world's most profitable by 2027, with combined profits of $704 billion on over $1 trillion in revenue. Their operating margins have already reached record highs. * **Valuation Re-rating:** Despite significant stock price gains, memory stocks trade at attractive valuations (e.g., a median NTM P/E of 8.37x for the DRAM ETF) relative to projected explosive EPS growth. Roundhill suggests historical valuation frameworks may no longer apply given the new profitability paradigm. Conclusion: Roundhill contends the rally is justified by fundamentals, marking a structural shift for the memory industry into a new era of sustained, AI-driven demand against constrained supply, rather than a repeat of past cycles.

marsbit17m ago

DRAM ETF Issuer: Samsung, SK Hynix, Micron All Surpass $1 Trillion, the AI Era of Memory Chips Has Only Just Begun

marsbit17m ago

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

The Ethereum Foundation (EF) has announced a major organizational restructuring, involving a 20% staff reduction (approx. 54 employees) and a division into functional clusters like Protocol, Access, User, Community, and Institutional layers. Co-founder Vitalik Buterin further revealed plans to cut the EF's budget by around 40% over the coming years, aiming to reduce its annual spending rate from about 15% to roughly 5% by 2030, transitioning to an endowment-driven model. This overhaul is seen as a long-overdue correction to the EF's ambiguous role. As Ethereum grew, the foundation faced persistent criticism over ETH sales, perceived lack of execution, and unclear strategy, often becoming a focal point for community frustration amid ETH's price stagnation. The reform aims to redefine the EF's boundaries, narrowing its focus to core protocol research, public goods funding, and ecosystem coordination, while offloading more applied development work to the broader market. Concurrently, ecosystem forces like the newly formed Ethlabs (founded by ex-EF researchers) and other independent groups are stepping in to fill the space, signaling a shift from a centralized model to a more distributed, collaborative ecosystem structure. The move was notably praised by Solana co-founder toly, who viewed a "leaner" EF as potentially more decisive and agile.

Odaily星球日报58m ago

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

Odaily星球日报58m ago

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

Dragonfly partner Haseeb explores the distorted economics of AI model pricing, drawing parallels to tax policy. He notes that startups and small teams (under 150 users) enjoy heavily subsidized, fixed-price AI subscriptions (like Claude Code), where the marginal cost of an additional token is effectively zero. This creates a powerful incentive for them to maximize token usage ("token-maxxing") and innovate aggressively with AI automation. In contrast, large enterprises (over 150 users) are forced onto "Enterprise" plans, paying per-token API fees with high (~75%) markups. This acts like a steep "tax" on AI-powered labor, disincentivizing marginal automation and experimental use, and encouraging them to retain more human workers. Haseeb argues this pricing creates a "150-person cliff," a regulatory notch similar to labor laws in France that discourage firms from growing past 50 employees. He predicts the fastest-growing future companies may deliberately cap their headcount at 149 to avoid the punitive enterprise pricing. This would foster an "AI-first" management philosophy obsessed with automation and outsourcing to stay lean. While not intentionally designed, this bifurcated pricing could become one of the most influential de facto tax policies, shaping how AI replaces labor—not through mass layoffs at big firms, but through agile, AI-native startups outcompeting them.

marsbit1h ago

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

marsbit1h ago

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

xBubble: Addressing the Structural Gap in the VC-Backed OPC Economy The concept of OPC (One Person Company) is evolving from a buzzword to a significant AI-driven market. While AI coding tools like Replit and Lovable have validated demand from non-technical users wanting to build applications, a key gap remains: the leap from creating a demo to running a stable, evolving business. These tools still require users to manage the development process, including technical judgments for integrations, modifications, and deployments—a major hurdle for OPCs. xBubble, by DAPPOS, tackles this by shifting from "Prompt-to-Code" to "SOP-to-Business." Instead of generating code from instructions, its core is a system of pre-organized SOPs (Standard Operating Procedures) that translate business goals—like "sell World Cup merchandise"—into complete, executable workflows. This includes generating cohesive assets, pages, payment systems, and backend logic. The platform is augmented by a network of third-party service providers who handle infrastructure (hosting, domains, payment setup), acting like "on-site service engineers." Users can pay for these services directly with xBubble credits, simplifying onboarding. This ecosystem aims to deliver not just an app, but a complete, modifiable business launch path. xBubble targets a clear OPC segment: small commercial nodes (e.g., creators, merchants) with existing products, customers, or channels, but for whom a full tech team is unjustifiable. Its potential lies in SOPs accumulating expertise from real cases, improving reliability and reducing delivery costs over time. Additionally, its native support for crypto payments caters to global or digital-native OPCs. In summary, as AI democratizes software creation, xBubble's opportunity is to prove that "SOP-to-Business" provides more immediate value for launching a real, operational business than a powerful but unstructured AI coding tool.

链捕手1h ago

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

链捕手1h ago

Trading

Spot
Futures

Hot Articles

How to Buy AAVE

Welcome to HTX.com! We've made purchasing Aave Protocol (AAVE) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Aave Protocol (AAVE) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Aave Protocol (AAVE)After purchasing your Aave Protocol (AAVE), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Aave Protocol (AAVE)Easily trade Aave Protocol (AAVE) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

5.5k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy AAVE

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AAVE (AAVE) are presented below.

活动图片