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

深潮Pubblicato 2025-12-10Pubblicato ultima volta 2025-12-10

Introduzione

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.

Domande pertinenti

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.

Letture associate

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbit5 min fa

Is AI Creating a New Class of 'Information Poor'?

marsbit5 min fa

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit58 min fa

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit58 min fa

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit1 h fa

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit1 h fa

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报1 h fa

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报1 h fa

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbit1 h fa

The First Case on AI Agents: What Was Adjudicated?

marsbit1 h fa

Trading

Spot

Futures