China Debates Pocketing Crypto Crime Proceeds While Keeping It Illegal

ccn.comPublicado em 2025-04-16Última atualização em 2025-04-16

Key Takeaways

  • China is reviewing laws to prevent corruption in handling seized crypto assets.
  • A national crypto ban since 2021 has forced authorities to rely on private firms to liquidate confiscated tokens.
  • Economic pressure and rising crypto-related crimes could push Beijing to revise its stance.

China’s top courts and regulators are exploring potential legal reforms to govern how seized cryptocurrencies are handled, as local governments increasingly rely on informal and opaque channels to liquidate confiscated assets.

The move reflects growing pressure on the state to address legal gray areas created by its 2021 blanket ban on crypto trading and mining.

While crypto remains outlawed nationwide, the rise in criminal cases involving digital assets has left courts with little clarity on how to deal with ill-gotten coins.

Managing Seized Crypto

According to a recent Reuters report , several Chinese provinces have turned to private firms to convert seized crypto into fiat currency. These proceeds are then funneled back into public coffers, helping offset fiscal shortfalls worsened by the country’s broader economic slump.

This workaround, however, falls into murky territory. “It’s a makeshift solution that, strictly speaking, is not fully in line with China’s current ban on crypto trading,” Chen Shim, a Zhongnan University of Economics and Law professor, told Reuters.

Liu Honglin, a legal advisor to local governments on crypto issues, said that seized cryptocurrencies have become an important revenue stream for some cities but warned that the current system could foster corruption without national rules in place.

Despite crypto’s illegality, the value of seized holdings is growing.

According to a report by Bitcoin investment firm River , by the end of 2024, Chinese local authorities held an estimated 15,000 bitcoins—worth $1.4 billion—making the country one of the largest involuntary asset holders.

A Legal Dilemma Amid Shifting Global Dynamics

The Chinese government has held internal seminars with judges, law enforcement, and crypto experts to debate how seized crypto assets should be regulated. Draft proposals are said to include clearer liquidation procedures and tighter oversight to prevent misuse.

With the U.S. escalating trade restrictions and a broader shift among global economies toward alternative financial rails, China may find it increasingly difficult to ignore crypto altogether.

Some analysts believe crypto could play a limited but strategic role in cross-border trade, especially given reports that China has already conducted Bitcoin-based transactions with Russian entities amid sanctions.

Was this Article helpful? Yes No

Leituras Relacionadas

Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

Founder of Baixing.com: I Only Half-Believe the Saying “Large Language Models Will Devour Everything” Author: Wang Jianshuo, Founder of Baixing.com Many proclaim that large models are everything, but the author is skeptical. He argues that such sweeping claims often stem from a limited understanding of the future. Drawing parallels to past technologies like electricity and the internet—which were predicted to “devour everything” but didn’t—he suggests that large language models (LLMs) are better seen as a foundational base. Like electricity, this base is essential for modern development, but its real value emerges only when applied to specific scenarios through various “machines” or “tools” (e.g., Claude Code for programming, Claude Design for design). The author acknowledges that LLMs may indeed replace many existing software systems built on rigid rules, workflows, and forms (e.g., CRMs, SaaS tools), as these are precisely what LLMs excel at processing. However, he emphasizes that beyond software, elements like customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions will not be “devoured.” Instead, he foresees that after streamlining existing software, LLMs will open up a larger space for innovative, next-generation applications. These new tools will likely feature fluid interfaces and rely less on fixed rules, unleashing greater creativity. The author cautions against short-sightedness, recalling how in 2004 many believed internet giants like Sina, Sohu, and NetEase would monopolize the market—only to be proven wrong by subsequent disruptions. In conclusion, while LLMs are a crucial foundation and a current focal point, the true mainstream of this wave lies in the diverse applications built atop them to solve concrete problems. The phrase “devour everything” is imprecise; the real opportunity lies in identifying and leveraging the areas where LLMs do bring transformative change.

marsbitHá 2h

Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

marsbitHá 2h

Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

The founder of Baixing Wang states that while large language models (LLMs) are an extremely important foundational technology—akin to electricity or the internet—he only "half believes" the notion that they will "consume everything." He argues that LLMs provide a base layer of intelligence, but real-world value and transformation come from integrating this intelligence into specific applications and devices designed for particular scenarios—like how electricity powers various appliances from washing machines to TVs. He agrees LLMs will likely consume or replace a significant portion of existing rule-based, workflow-driven software (e.g., many SaaS systems, CRMs), as these are precisely what LLMs excel at handling. However, numerous other elements—such as customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions—will not be consumed. Wang emphasizes that after LLMs absorb certain software layers, they will open up a much larger space for innovation: new types of "streaming" software with less rigid interfaces, where fixed rules are managed by AI. This next wave of applications built on top of the stable LLM foundation is where the true mainstream opportunity lies. He cautions against the short-sightedness of declaring any technology as all-consuming, drawing parallels to past premature predictions about internet giants monopolizing the web. The key is to find opportunities within the areas LLMs do transform.

链捕手Há 2h

Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

链捕手Há 2h

Trading

Spot
活动图片