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Crypto and crime—the two are often linked in the same breath, as if digital assets are the preferred playground for bad actors. “It’s anonymous,” critics say. “Perfect for laundering money,” other critics flag. But is that really true, or is it just an easy scapegoat?
Here’s the thing: money laundering isn’t a crypto problem—it’s a financial system problem. And while the headlines scream about blockchain’s potential for misuse, they often miss the bigger story: how its transparency is revolutionising accountability in ways legacy systems simply can’t.
To understand how crypto stacks up against traditional finance in tackling money laundering, we need to cut through the noise and dive into the data. Because when you truly examine the evidence, the chain doesn’t just hold up—it shines. Let’s explore why. How Big Is the Problem? A Look at the Numbers
First, let’s get a sense of scale. According to a 2020 report by the United Nations Office on Drugs and Crime (UNODC), between $800 billion and $2 trillion USD is laundered annually through traditional financial systems. That’s up to 5% of global GDP. These numbers dwarf the volume of money laundering linked to cryptocurrencies.
In comparison, Chainalysis, a blockchain analytics firm, estimated that $23.8 billion in crypto was used for illicit activities in 2022, representing just 0.24% of total crypto transaction value. While no amount of money laundering is acceptable, the disparity here is striking. Here’s another stark comparison: global institutions spend over $300 billion annually on anti-money laundering (AML) compliance, according to LexisNexis Risk Solutions. Yet, despite this enormous expenditure, estimates suggest that less than 1% of global money laundering is successfully intercepted.
The Nature of the Systems: Side profile
One of the core arguments against crypto is the idea that it’s anonymous, making it a haven for criminals. But the reality is far more complex.
For example, consider a criminal who transfers stolen funds from Ethereum to Binance Smart Chain via a bridge. The transaction doesn’t erase the trail—it simply extends it. Investigators can map out the path, backdating activity across chains and tying wallets together.
Furthermore, cash remains king for illicit activity. Physical currency, which leaves no digital trail, is still a preferred medium for laundering money globally.
Crypto’s Analytical Arsenal: Redefining Accountability
One of the most overlooked aspects of crypto is the sophisticated arsenal of analytical tools available to combat illicit activity. Companies like Chainalysis, Elliptic, and CipherTrace provide investigators with the ability to trace even the most complex transactions. These tools have been instrumental in high-profile cases, including Tornado Cash and FTX (which we will look at later in the article.)
While these are separate companies, they largely do the same thing: help you identify transactions on-chain more seamlessly.
The transparency of blockchain can be further enhanced by coupling it with AI – I wrote a piece on Finextra that goes a little deeper on the potential synergies between AI and blockchain. Machine learning algorithms excel at detecting anomalies in vast datasets—something even the most robust blockchain analytics tools can’t always do alone.
By integrating AI with blockchain analytics, institutions can bolster their AML efforts, improving efficiency and reducing the staggering costs associated with compliance.
Why is this important? Let’s look at FTX, Tornado Cash and Luna as examples.
Critics often point to the collapses of FTX, Luna, and the sanctioning of Tornado Cash as proof of crypto’s risks. But these cases illustrate the opposite: how blockchain transparency enables swift accountability, in stark contrast to traditional systems where financial crimes can remain hidden for decades.
While crypto cases are rapidly exposed due to blockchain’s transparency, traditional systems provide a starkly different story. High-profile figures have been able to launder money or hide illicit undertakings for years because of the opacity of financial institutions.
Had these transactions occurred on a blockchain, the immutable and public nature of the ledger would have exposed irregularities far sooner, sparing years of damage. The odds of finding these folks leveraging blockchain technologies would be exponentially higher, at a fraction of the cost we are currently paying to try and identify them through legacy means. Final Thoughts
When it comes to money laundering, crypto isn’t the problem—it’s the spotlight. FTX, Luna, and Tornado Cash are not examples of blockchain’s failure but of its success in exposing financial wrongdoing.
Tools like Chainalysis, Elliptic, and CipherTrace, amplified by AI, ensure the blockchain ecosystem is more accountable than ever. But here’s the challenge: we need to look past the smoke and mirrors of sensational headlines that portray crypto as the villain. It’s time to examine the evidence critically, to dispel the myths, and to understand the transformative power of blockchain technology.
This isn’t just about defending crypto; it’s about rethinking how we tackle financial crime. The chain doesn’t lie—but it’s up to us to look past the noise and see the truth. It is too simplistic to band every illicit activity with a specific asset class or technology, we certainly don’t ban the internet more broadly because bad actors exist, I am curious why this the case with blockchain technology more specifically. Will you take up the challenge to learn, explore, and engage with the tools that can genuinely reshape financial accountability?
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Sergiy Fitsak Managing Director, Fintech Expert at Softjourn
06 January
Elena Vysotskaia Founder & CEO at Astra Global
03 January
Dieter Halfar Partner at Elixirr
Prakash Bhudia HOD – Product & Growth at Deriv
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