Aave Surpasses $1 Billion in Tokenized Real-World Asset Deposits

TheNewsCryptoPublished on 2026-02-20Last updated on 2026-02-20

Abstract

Aave has become the first decentralized lending protocol to exceed $1 billion in tokenized real-world asset (RWA) deposits, signaling deeper integration between DeFi and traditional finance. The platform, Horizon, which allows institutional borrowers to use assets like U.S. Treasuries as collateral to access stablecoins, grew from $600 million in deposits in January to $1 billion in under a month. Founder Stani Kulechov predicts the RWA market could reach $50 trillion by 2050, with Aave potentially capturing a significant share. Meanwhile, AAVE's native token trades at $124.21, with a total value locked of $26.83 billion—the highest among DeFi platforms. Grayscale also recently filed for an AAVE ETF with a 2.5% expense ratio.

Aave has become the first platform in the sector to surpass $1 billion in real-world asset (RWA) deposits. Which is a decentralized protocol that allows users to borrow and lend crypto without a middleman.

The post was shared by AAVE, which highlights that tokenized traditional assets are increasingly moving on blockchain-based lending platforms, signaling deeper integration between DeFi and traditional finance.

Last year, Aave Labs launched Horizon, a new platform designed primarily for institutional borrowers to access stablecoins by using tokenized real-world assets, such as U.S. Treasuries, as collateral, which achieved $600 million in net deposits in January. Within less than a month, it has nearly doubled.

This milestone has been followed by the AAVE founder, Stani Kulecho, who shared an opinion that the volume of the RWA market will reach $50 trillion by 2050, adding that solar energy assets alone will account for $15 trillion to $30 trillion.

Further, Kulecho added, “Even if just 10% of that activity could be captured by Aave, it would expand the economic collateral of Aave by an astronomical $1.5 to $5 trillion. With 25% market share, that grows to $3.75 to $12.5 trillion, positioning Aave to become the biggest financier of the world’s transformation.” In the same week, the platform reached a billion net RWA deposits, which aligns with the long-term vision of Kulecho for the sector’s expansion.

AAVE Market Snapshot and Grayscale ETF Move

With that, AAVE is the native token of the Aave protocol, which is trading at $124.21 with 0.33% down, as the total market cap stands at $1.9 billion. But, in the morning, it had reached $126.51, as the token price is moving up and down within the same day.

While the 24-hour trading volume is low, more than 15% and stands at $323.17 million. According to DeFiLlama’s data, the Aave protocol’s total value locked is $26.83 billion, which stands the highest among DeFi platforms.

Last week, Grayscale submitted an S-1 registration tied to an Aave trust. Where that AAVE ETF is designed to track the AAVE market price, and it would charge a 2.5% total expense ratio. With that, Coinbase acts as a custodian and prime broker for the ETF.

Highlighted Crypto News:

Ledn Taps Asset-Backed Market With Landmark $188M Bitcoin Bond

TagsAAVECryptocurrencyDeFi

Related Questions

QWhat milestone did Aave achieve in the real-world asset (RWA) deposits sector?

AAave became the first platform to surpass $1 billion in tokenized real-world asset deposits.

QWhat is the name of the platform launched by Aave Labs for institutional borrowers, and what collateral does it use?

AAave Labs launched Horizon, which allows institutional borrowers to access stablecoins using tokenized real-world assets like U.S. Treasuries as collateral.

QAccording to Aave's founder, what is the projected value of the RWA market by 2050?

AAave's founder, Stani Kulechov, projected that the RWA market will reach $50 trillion by 2050.

QWhat is the current total value locked (TVL) in the Aave protocol according to DeFiLlama?

AAccording to DeFiLlama, the Aave protocol's total value locked is $26.83 billion, which is the highest among DeFi platforms.

QWhat recent move did Grayscale make involving Aave, and what is the proposed expense ratio for the product?

AGrayscale submitted an S-1 registration for an Aave trust ETF designed to track the AAVE market price, with a proposed total expense ratio of 2.5%.

Related Reads

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1h ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1h ago

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1h ago

Token Inefficient, Economy Tokenless

marsbit1h ago

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit1h ago

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit1h ago

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit1h ago

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit1h 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.

5.3k 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