If Hong Kong's First Batch of Stablecoin Licenses Are Really Only Issued to Banks, We Might Miss the Next Decade

marsbitPublicado em 2026-03-19Última atualização em 2026-03-19

Resumo

Recent reports indicate that the Hong Kong Monetary Authority (HKMA) is poised to issue its first batch of stablecoin licenses, with speculation suggesting that initial approvals may be limited to traditional note-issuing banks or large financial institutions. This approach, driven by extreme risk aversion and financial stability concerns, has raised alarms within the industry. The author argues that disruptive financial innovations—such as PayPal, Alipay, and cryptocurrencies—historically emerge from agile tech startups and entrepreneurs, not risk-averse traditional banks. Stablecoins, as borderless, programmable, and decentralized monetary instruments, represent a fundamental shift that challenges existing banking models. Entrusting this innovation to institutions with inherent incentives to protect legacy systems may hinder progress. Globally, tech-driven companies like Stripe (which acquired stablecoin platform Bridge) and Circle (issuer of USDC) are leading stablecoin adoption and integration with AI and Web3 ecosystems. The U.S. is leveraging such innovations to advance its fintech competitiveness, while Hong Kong’s conservative licensing strategy could leave local Web3 firms at a disadvantage. Critically, the rise of AI agents will require seamless, high-frequency, micro-transactions across borders—a use case incompatible with traditional banking systems due to high fees, slow settlement, and rigid KYC/AML frameworks. Stablecoins, integrated with smart contrac...

Recently, news about the Hong Kong Monetary Authority (HKMA) soon announcing the first batch of stablecoin issuer licenses has garnered significant attention both inside and outside the industry. Moreover, according to rumors from authoritative media and industry insiders, out of an extreme emphasis on financial stability and conservative risk considerations, Hong Kong's first batch of stablecoin licenses are highly likely to be issued exclusively to traditional note-issuing banks or large commercial banks.

To be honest, hearing this news made me and several industry veterans break into a cold sweat. Hong Kong has clearly laid its cards on the table to build a "global digital asset hub," polishing the table for the game. But at this critical juncture of stablecoins, which can truly reshape the underlying logic of future finance, if the final decision is indeed to only let the "old money" from the traditional system sit at the table... then what we stand to lose may not just be the prospects of a few local fintech companies, but the biggest payment innovation opportunity in the Web3 and AI era.

I've been thinking these past few days: why is entrusting the most important financial innovation to traditional banks a cause for concern?

Breaking it down with commercial reality, the answer is clear.

Disruptive things rarely emerge from the center

Looking back at the financial history of the past few decades, truly game-changing innovations were mostly not born within bank buildings. Whether it was PayPal back in the day, or Alipay and WeChat Pay which later disrupted daily transactions, or cryptocurrency itself, the ones making big waves were often small and medium-sized enterprises and entrepreneurs from the fringes.

This isn't to say traditional banks are doing a bad job. The foundation of large banks is being "credit intermediaries"; they are inherently risk-averse and pursue extreme stability. This is in their DNA and is the basis for maintaining the financial system's operation.

But stablecoins are a completely different species. They are a borderless, programmable, decentralized new type of monetary vehicle, essentially a dimensional reconstruction of traditional banking business. Now, expecting note-issuing banks, accustomed to following procedures and burdened with massive compliance baggage, to lead a Web3 payment revolution that will likely disrupt their own existing profit distribution? This doesn't make commercial sense. It's asking too much.

Look who's sitting at the table across the ocean

If history seems too distant, we can look at the current global market. The ones truly pushing stablecoins towards a trillion-dollar scale are not JPMorgan Chase or Citigroup at all, but tech companies with extremely strong technical DNA.

Look at Stripe in the US, this payment giant valued at hundreds of billions of dollars just heavily invested in acquiring the stablecoin platform Bridge. I carefully read what Stripe co-founder John Collison wrote in their 2025 public letter; he didn't talk about grand concepts, but very practically stated that stablecoins represent an "improvement in the basic usability of money" and are the most innovative area in the internet economy. They are truly using code and stablecoins to reconstruct the global payment infrastructure.

Then look at Circle, which issues USDC. They long ago stopped being satisfied with just being a coin-issuing institution. Their current financial reports and actions clearly show they are integrating large language models to build the underlying network for future AI Agents.

The US strategy is already an open secret: using innovative tech companies plus stablecoins to fight the next fintech war. If Hong Kong, at this time, only gives the keys to the most important arsenal to traditional banks accustomed to playing defense, what will our local Web3 enterprises use to compete on the same stage?

In the AI era, bank systems simply can't handle machine bills

The special administrative region government is now pushing "AI+" and the digital economy with great effort, which is absolutely the right direction. But often, the underlying cost structure isn't fully thought through: what will payments look like in the AI era?

I estimate that in two or three years, the subjects of commercial transactions won't just be living people like you and me or companies, but countless AI Agents running in the cloud.

Imagine at 3 AM, your personal AI assistant, to help you run a complex video rendering model, goes online itself to find the cheapest idle computing power, then initiates cross-border API calls dozens of times per second. Can the current fiat system handle this kind of high-frequency, instant, cross-border micro-transactions that might only cost a few cents each? Traditional bank transfer fees are prohibitively expensive, and you have to wait for T+1 or T+2 settlement, with system maintenance on weekends.

The only thing that can shoulder this kind of 24/7, low-friction machine-to-machine transaction is stablecoins running on the blockchain. They can be written directly into smart contracts, allowing AI have its own wallet and spend money itself. Without this foundation, the so-called AI agent economy simply cannot function.

Some will surely ask, couldn't a large bank just issue its own stablecoin for AI to use?

Really, it can't. This touches the underlying compliance Achilles' heel of banking. Banks' KYC (Know Your Customer) and anti-money laundering systems are designed for "natural persons" and "entity enterprises." To open an account, you need to provide ID, proof of address, board resolutions. When an AI Agent, which is just a string of code, tries to spend money to buy computing power脱离 (disconnected from) a实体 account, the bank's compliance system will error out immediately. How is the system supposed to perform facial recognition on code?

Under the existing regulatory inertia, the bank system's only reasonable reaction is: this is incomprehensible, the risk is too high, service denied.

The underlying systems of the mainframe era cannot handle the new玩法 (play/ways) on-chain. To solve this generational pain point, we can only rely on independent issuers driven by technology who understand Web3 architecture. They are the ones who know how to flexibly use on-chain data and全新的 (brand new) digital identity technology to minimize the friction of machine payments within a compliant framework.

Hong Kong desperately needs "fresh troops"

I actually understand the regulators' caution during the initial licensing phase. In the context of traditional finance, issuing licenses first to well-funded large banks is the safest, most error-proof defensive move. But at a juncture of major technological paradigm shifts, excessive caution can反而 (instead) become the biggest risk—the risk of眼睁睁 (watching helplessly) missing an entire era.

The vision of a "global digital asset hub" shouldn't just be about traditional banks issuing an "on-chain version of the Hong Kong dollar" using blockchain technology and calling it a day. Hong Kong needs real Web3 entrepreneurs, needs ambitious technology enterprises to take root here and serve the global AI agent economy. Ecosystems are built through fierce competition with real investment, not by protecting turf.

In this race, Hong Kong urgently needs a group of fresh troops who understand both modern compliance logic and truly understand technology, not just rely on gatekeepers constrained by the existing system.

I sincerely hope the regulatory authorities can demonstrate greater魄力 (boldness and vision) and leave a door open for independent innovative enterprises with technical基因 (DNA). Because this decision is not about the distribution of利益 (interests) from a few licenses, but determines whether Hong Kong will be riding the waves at the prow or遗憾地 (regrettably)只能 (can only) stand on the shore sighing in the great voyage of the digital economy over the next decade.

This article is user-contributed and does not represent the views of ChainCatcher.

Perguntas relacionadas

QWhat is the main concern raised in the article regarding Hong Kong's potential issuance of stablecoin licenses only to banks?

AThe main concern is that limiting the first batch of stablecoin licenses to traditional banks could cause Hong Kong to miss out on the next decade of financial innovation, particularly in Web3 and AI-driven payment systems, as banks are inherently risk-averse and may not drive disruptive changes.

QWhy does the author argue that disruptive innovations like stablecoins rarely originate from traditional banks?

AThe author argues that traditional banks are fundamentally risk-averse 'credit intermediaries' focused on stability, while stablecoins represent a decentralized, programmable, and borderless new form of currency that fundamentally disrupts existing banking models and利益分配.

QHow are U.S. tech companies like Stripe and Circle contributing to the stablecoin ecosystem, according to the article?

AStripe is investing heavily in stablecoin platforms like Bridge to重构 global payment infrastructure, while Circle is expanding beyond issuing USDC to building underlying networks for AI Agent economies, demonstrating a tech-driven approach to financial innovation.

QWhat challenge do traditional banking systems face in supporting AI Agent economies, as highlighted in the article?

ATraditional banking systems struggle with AI Agent economies due to high transaction fees, slow settlement times (e.g., T+1 or T+2), and compliance systems designed for自然人 and实体企业, which cannot handle高频, low-value, cross-border micro-transactions between AI entities.

QWhat does the author suggest Hong Kong needs to compete globally in the digital asset and Web3 space?

AThe author suggests Hong Kong needs '生力军' (new forces)—technologically savvy Web3 entrepreneurs and independent innovators—rather than relying solely on traditional banks, to build a competitive ecosystem for global AI and digital asset economies.

Leituras Relacionadas

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

The author, awaiting potential inclusion on an 8000-person layoff list, analyzes the true nature of recent "AI-driven" layoffs. They argue that while AI use, particularly tools like Claude for code generation, has skyrocketed and boosted developer output (e.g., 2-5x more code commits), this has not translated into proportional business growth or revenue. The core issue is a misalignment between increased "Input" (code) and tangible "Outcomes" (user value, revenue). AI acts as a costly B2B SaaS, inflating operational expenses without guaranteed returns. Two key problems emerge: 1) The friction that once filtered out bad ideas is gone, as AI allows cheap pursuit of even weak concepts. 2) Organizational "alignment tax"—the difficulty of coordinating across teams—becomes crippling when development velocity outpaces consensus-building. Thus, layoffs serve two immediate purposes: 1) To offset ballooning AI costs (Token consumption) and maintain cash flow, as rising input costs without outcome growth destroys unit economics. 2) To reduce organizational bloat and alignment friction by simply removing teams, thereby speeding up execution in the short term. Therefore, these layoffs are fundamentally caused by AI, even if AI doesn't directly replace roles. They represent a painful correction until companies learn to convert AI-driven productivity into real business outcomes and streamline organizational coordination to match the new pace of work. The cycle will continue until this learning curve is mastered.

marsbitHá 53m

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

marsbitHá 53m

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

Solana Foundation, in collaboration with Google Cloud, has launched Pay.sh, a payment gateway designed to bridge the gap between AI agents and enterprise-grade service infrastructure. The initiative aims to solve a key bottleneck in the "agent economy": existing payment systems are ill-suited for autonomous AI agents. Traditional methods like credit cards require human verification, while newer on-chain protocols like x402 and MPP create a separate, Web3-native system that raises barriers for service providers. Pay.sh functions as a universal payment layer. It allows users to fund a Solana wallet via credit card or stablecoin, which then acts as an identity and payment proxy for AI agents. When an agent needs to access a paid API service (e.g., Google Cloud, Alibaba Cloud), Pay.sh handles the transaction seamlessly. It leverages the HTTP 402 status code ("Payment Required") to initiate payments, intelligently choosing between one-time transfers (x402-style) or session-based authorizations (MPC-style) based on the service's billing model. This spares agents from manual account registration and API key management. A key feature for service providers is low integration effort. They can adopt Pay.sh by providing a declarative configuration file, enabling features like tiered pricing, free tiers, and automatic revenue splitting to multiple addresses (e.g., for royalties, cloud costs). Providers can also list their APIs in a central Pay Skill Registry for agent discovery. The collaboration with Google Cloud provides crucial infrastructure for API proxying, traffic routing, and compliance logging, aiming to keep agent activities within regulated boundaries. By connecting Web2 services with Web3 payment rails, Pay.sh positions the Solana wallet as a foundational identity and payment tool for AI agents, potentially driving more transaction volume to the Solana ecosystem. However, the report notes challenges. The service registry currently lacks robust vetting, risking exposure to unauthorized or malicious third-party APIs. Pay.sh also inherits security and compatibility risks from its underlying payment protocols (x402, MPC). Furthermore, adoption may be hindered by varying regional data privacy and payment compliance regulations among API providers. Despite these hurdles, Pay.sh represents a significant step towards integrating Web2 and Web3 for autonomous agent commerce.

marsbitHá 1h

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

marsbitHá 1h

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

Bitcoin's "Bull-Bear Market Cycle Indicator" from CryptoQuant has turned positive for the first time since October 2025. This gauge, based on the P&L Index relative to its 365-day moving average, suggests a potential shift from a bear market phase. Concurrently, the Bull Score Index rose to a neutral reading of 50 in late April. The indicator's move into positive territory follows a roughly 35% price rebound from a low near $60,000 in February to above $81,000. The recovery over approximately three months was faster than the 12-month period observed during the 2022 bear market. However, analysts caution against premature optimism, citing a historical precedent from March 2022. Back then, the Bull Score Index briefly hit 50, but it proved to be a false signal as Bitcoin's price subsequently plunged further. Structural differences exist in the current cycle, including consistent inflows into spot Bitcoin ETFs and an increase in large holder addresses. Yet, some models, referencing the four-year halving cycle, suggest a potential deeper bottom near $50,000 might still be possible around late 2026. In summary, while on-chain data shows marked improvement and the worst panic may be over, market participants remain cautious. A convincing trend reversal confirmation likely requires Bitcoin to sustainably break above key resistance, such as the 200-day moving average near $82,000.

marsbitHá 1h

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

marsbitHá 1h

Trading

Spot
Futuros
活动图片