Hong Kong Freezes Stablecoin Rollout, Leaving HSBC, Standard Chartered Waiting

bitcoinistPublished on 2026-04-02Last updated on 2026-04-02

Abstract

Hong Kong has postponed the issuance of its first batch of stablecoin licenses, delaying approvals for major applicants like HSBC and Standard Chartered. The delay, attributed to money laundering concerns, may lead to stricter KYC regulations. This setback affects 36 applicants and follows mainland China's earlier crackdown on stablecoins due to regulatory and illegal activity risks. Despite initial plans to issue a small number of licenses in March, the Hong Kong Monetary Authority (HKMA) has not yet granted any approvals. The article also notes similar regulatory delays in South Korea, while Japan and the U.S. have advanced their stablecoin frameworks. The stablecoin market cap remains strong at $316 billion, a new all-time high. Bitcoin is trading around $68,700, down 4% over the week.

Hong Kong has postponed its first batch of stablecoin licenses amid money laundering concerns that could warrant stricter KYC rules.

Hong Kong Has Delayed Its Initial Batch Of Stablecoin Licenses

As reported by Wu Blockchain, citing coverage from Caixin, Hong Kong has postponed the issuance of its first stablecoin approvals, meaning that applicants would be waiting for longer before they can receive a license.

Hong Kong first passed its stablecoin bill in August 2025, making it so that organizations looking to issue stablecoins in the Chinese city’s jurisdiction will need to acquire approval from the Hong Kong Monetary Authority (HKMA).

Following the rollout of the new rules, HKMA started receiving applications from big names like Standard Chartered in its Joint Venture (JV) and HSBC. The first batch of approvals was expected to go out by the end of March, but now April has begun, and no licenses have been handed out at all.

“Hong Kong is concerned that stablecoins may be used for money laundering and may therefore implement stricter KYC regulations,” noted Wu Blockchain. The delay has thrown a wrench in the plans of 36 applicants. Earlier, mainland Chinese regulators cracked down on the sector, stating that fiat-tied cryptocurrencies don’t qualify as legal tender, as they fail to meet regulatory requirements and pose a risk of being used for illegal activities.

Despite the mainland’s stance, however, Hong Kong still moved forward with its stablecoin plans, announcing in February that a “very small number” of issuer licenses would be handed out in March. With that plan not coming to fruition, it now remains to be seen when the HKMA will be able to advance the city’s stablecoin ambitions.

Elsewhere in Asia, South Korea has also seen its stablecoin plans stall, with the Bank of Korea (BoK) arguing for bank-majority stablecoins, while the Financial Services Commission (FCS) advocates for laxer rules.

Meanwhile, Japan took ahead of its neighbors with the launch of its first yen-backed coin last year. The nation could also see its first bank-backed stablecoin this year, with Shinsei Trust and Banking planning on a Q2 2026 launch.

Over in the United States, President Donald Trump signed into law the GENIUS Act last year, providing a formal framework for stablecoins. Overall, this part of the cryptocurrency sector has seen significant global regulatory momentum over the past year, so it’s not surprising to see that its market cap has held up relatively well despite the recent market downturn.

The trend in the stablecoin market cap over the last several years | Source: DefiLlama

As the chart from DefiLlama shows, the market cap of the fiat-tied tokens has mostly moved sideways in recent months, with its value currently sitting at $316 billion, a new all-time high (ATH).

Bitcoin Price

At the time of writing, Bitcoin is trading around $68,700, down over 4% in the last week.

Looks like the price of the coin has gone up a bit over the past day | Source: BTCUSDT on TradingView

Related Questions

QWhy has Hong Kong postponed the issuance of its first stablecoin licenses?

AHong Kong has postponed the issuance due to concerns that stablecoins may be used for money laundering, which could lead to the implementation of stricter Know Your Customer (KYC) regulations.

QWhich major financial institutions are among the applicants for stablecoin licenses in Hong Kong?

AMajor applicants include Standard Chartered, through its Joint Venture, and HSBC.

QWhat was the original timeline for issuing the first batch of stablecoin licenses, and what is the current status?

AThe first batch of approvals was expected to be issued by the end of March, but as of the beginning of April, no licenses have been handed out.

QHow does the regulatory stance on stablecoins in mainland China differ from that in Hong Kong?

AMainland Chinese regulators have cracked down on stablecoins, stating they do not qualify as legal tender and pose a risk for illegal activities. In contrast, Hong Kong has moved forward with its own regulatory framework to license stablecoin issuers.

QWhat is the current total market capitalization of stablecoins, according to the article?

AThe current market capitalization of stablecoins is $316 billion, which is a new all-time high (ATH).

Related Reads

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit1h ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit1h ago

Trading

Spot
活动图片