Tokenized Deposits vs. Stablecoins: The Future of Finance is Not Replacement, but Integration

深潮Опубликовано 2025-12-10Обновлено 2025-12-10

Введение

Tokenized deposits and stablecoins represent complementary, not competing, visions for the future of finance. Banks create money through fractional reserve lending, offering low-cost credit to large clients in exchange for deposits—tokenized deposits extend this on-chain but remain within the banking system’s regulatory and operational framework. Stablecoins, like USDC or USDT, function as permissionless, 24/7 cash-like instruments ideal for global settlements, especially in cross-border payments. The future lies in interoperability: corporations may hold tokenized deposits for credit benefits while using stablecoins for efficient, off-ledger transactions. Smart contracts enable complex, multi-party financial workflows beyond what traditional APIs offer. Rather than one replacing the other, both tokenized deposits (for banking-integrated credit) and stablecoins (for borderless liquidity) will coexist on-chain, enabling a more efficient and accessible financial system. The key is building bridges between these models, not choosing sides.

Author: Simon Taylor

Compiled by: Block Unicorn

Banks create money; stablecoins move it. We need both.

Proponents of tokenized deposits say: "Stablecoins are unregulated shadow banking. Once banks tokenize deposits, everyone will prefer to use banks."

Some banks and central banks love this narrative.

Proponents of stablecoins say: "Banks are dinosaurs. We don't need them on-chain. Stablecoins are the future of money."

Crypto natives particularly favor this story.

Both sides are missing the point.

Banks Provide Cheaper Credit to Their Largest Clients

You deposit $100, it becomes $90 in loans (or even more). This is how fractional reserve banking works. For centuries, it has been an engine of economic growth.

  • A Fortune 500 company deposits $500 million at JPMorgan Chase.

  • In return, they receive a massive line of credit at below-market interest rates.

  • Deposits are the bank's business model, and large corporations know this.

Tokenized deposits bring this mechanism on-chain, but they only serve the bank's own customers. You are still within the bank's regulatory perimeter, still subject to its business hours, processes, and compliance requirements.

For businesses that need low-cost credit lines, tokenized deposits are a good option.

Stablecoins Are Like Cash

Circle and Tether hold 100% reserves, equivalent to $200 billion in bonds. They earn a 4-5% yield but don't pay you anything.

In return, you get funds free from any bank's regulatory oversight. An estimated $9 trillion will be moved cross-border via stablecoins by 2025. Accessible anytime, anywhere with an internet connection, permissionless, 24/7.

No correspondent bank inquiries, no waiting for SWIFT settlement, no "we'll get back to you in 3-5 business days."

For a company that needs to pay an Argentine supplier at 11 PM on a Saturday, stablecoins are a good option.

The Future is Both

A company that wants a good credit line from a bank might also want to use stablecoins as an on-ramp to long-tail markets.

Imagine this scenario:

  • A Fortune 500 company holds tokenized deposits at JPMorgan Chase

  • In return, it gets a preferential credit line for its US operations

  • It needs to pay an Argentine supplier who prefers stablecoins.

  • So, it swaps JPMD for USDC.

This is an example of where we are headed.

On-chain. Atomic.

Having both.

Using traditional rails where they work.

Using stablecoins where they don't.

It's not an either/or. It's both.

  • Tokenized deposits → Low-cost credit inside the banking system

  • Stablecoins → Cash-like settlement outside the banking system

  • On-chain swaps → Instant conversion, zero settlement risk

Both have pros and cons.

They will coexist.

On-Chain Payments > APIs for Payment Orchestration

Some large banks might say "We don't need tokenized deposits, we have APIs," and in some cases, they are right.

This is precisely the power of on-chain finance.

Smart contracts can build logic across multiple firms and individuals. When a supplier's deposit arrives, a smart contract can automatically trigger inventory financing, working capital financing, FX hedging. Automatically. Instantly. Whether from a bank or a non-bank.

Deposit → Stablecoin → Pay invoice → Downstream payments complete.

APIs are point-to-point. Smart contracts are many-to-many. This makes them ideal for workflows that cross-organizational boundaries. This is the power of on-chain finance.

It's a fundamentally different architecture for financial services.

The Future is On-Chain

Tokenized deposits solve for low-cost credit. Deposits are locked in. Banks lend against them. Their business model remains.

Stablecoins solve for the portability of money. Funds flow permissionless, anywhere. The Global South gets access to dollars. Businesses get fast settlement.

Proponents of tokenized deposits want regulated payment rails only.

Proponents of stablecoins want to replace banks.

The future needs both.

Fortune 500s want massive credit lines from banks AND instant global settlement. Emerging markets want local credit creation AND dollar on-ramps. DeFi wants composability AND real-world asset backing.

Arguing about who wins misses what's happening. The future of finance is on-chain. Tokenized deposits and stablecoins are both necessary infrastructure to get there.

Stop arguing about who wins. Start building interoperability.

Composable money.

Связанные с этим вопросы

QWhat is the core argument of the article regarding tokenized deposits and stablecoins?

AThe article argues that the financial future is not about one replacing the other, but about the fusion and coexistence of both tokenized deposits and stablecoins. Each serves a distinct purpose: tokenized deposits provide low-cost credit within the banking system, while stablecoins offer cash-like, permissionless settlement outside it.

QAccording to the article, what primary benefit do tokenized deposits offer to large corporate clients?

ATokenized deposits offer large corporate clients access to substantial, low-cost credit lines from their banks, as the deposits form the basis of the bank's lending business model.

QWhat key advantage do stablecoins provide for cross-border payments as highlighted in the text?

AStablecoins provide a permissionless, 24/7, and fast settlement method for cross-border payments, enabling transactions like sending money to an international supplier at any time without relying on traditional banking hours or intermediaries like SWIFT.

QHow does the article describe the role of smart contracts in the future of on-chain finance?

AThe article states that smart contracts enable multi-party logic and automation across organizational boundaries. They can automatically trigger actions like inventory financing, working capital loans, and FX hedging upon payment's receipt, making them more powerful than point-to-point APIs for complex financial workflows.

QWhat is the final call to action for the industry presented in the conclusion?

AThe final call to action is to stop arguing about which will win—tokenized deposits or stablecoins—and instead start building interoperability to create a future of composable money on-chain.

Похожее

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbit7 мин. назад

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbit7 мин. назад

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbit14 мин. назад

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbit14 мин. назад

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbit23 мин. назад

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbit23 мин. назад

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbit26 мин. назад

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbit26 мин. назад

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbit28 мин. назад

a16z Crypto Partner: Cash Flow is the Moat

marsbit28 мин. назад

Торговля

Спот
Фьючерсы
活动图片