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Artificial intelligence is making cryptocurrency scams more convincing as criminals increasingly use fake identities, deepfake videos and voice impersonation to steal digital assets.
Global cryptocurrency scam proceeds were estimated at up to $17 billion in 2025, with AI-assisted fraud emerging as a growing threat to investors and trading platforms.
How Much Money Was Lost?
Blockchain analytics firm Chainalysis estimated that cryptocurrency scams generated as much as $17 billion in 2025.
Impersonation scams increased by more than 1,400% year on year, while scam operations involving artificial intelligence generated 4.5 times more revenue than those without identified AI involvement.
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The average scam payment also rose sharply, reaching $2,764 compared with $782 in 2024, an increase of 253%. The figures indicate that fraudsters are increasingly using convincing impersonation techniques to persuade victims to authorise substantial financial transfers.
How Is AI Being Used?
Cybercriminals are using generative AI to create personalised phishing messages, fabricated identities and convincing impersonations of trusted individuals.
Deepfake videos can make fraudulent investment endorsements appear genuine, while AI-generated voices allow criminals to imitate executives, investment advisers and customer support representatives. Attackers also create counterfeit cryptocurrency exchange websites designed to steal login credentials and wallet recovery phrases.
These techniques rely heavily on social engineering, where criminals manipulate victims into sharing confidential information or approving transactions.
How Do Crypto Attacks Work?
A common method begins with an urgent message claiming that a cryptocurrency account or wallet has been compromised.
The victim is directed to a fraudulent customer support website or contacted by someone impersonating a legitimate representative. Fraudsters then attempt to obtain sensitive information or persuade the victim to approve a malicious wallet transaction.
Once cryptocurrency leaves a wallet, recovering the transferred assets can be difficult because blockchain transactions are generally irreversible.
What Do Security Reports Reveal?
According to CertiK’s first-half 2026 security report, Web3-related security incidents caused approximately $1.31 billion in losses across 344 cases. Wallet compromises accounted for around $444.5 million across 33 incidents, while phishing attacks caused $366.3 million in losses across 63 incidents.
Although phishing incidents declined by 52.3% compared with the corresponding period a year earlier, associated financial losses fell by only 10.8%.
Four major attacks accounted for approximately 85% of phishing-related losses, indicating that a small number of incidents caused most of the financial damage.
What Has CERT-In Warned?
On November 4, India’s Computer Emergency Response Team (CERT-In) reportedly warned about an AI-assisted cyberattack campaign identified as CRAFTY FALCON.
The campaign was described as targeting financial institutions, including cryptocurrency service providers, through stolen wallet keys, unauthorised transfers and automated exploitation of payment systems.
The warning highlighted how AI-assisted attacks can combine social engineering with technical intrusion, creating risks for individual investors and financial platforms.
How Can Investors Stay Safe?
Security experts have advised cryptocurrency users to independently verify customer support requests and avoid sharing passwords, recovery phrases or wallet seed phrases.
Investors should also carefully examine wallet permissions before approving transactions. Hardware wallets, phishing-resistant authentication and transaction limits can help reduce exposure to potential attacks.
Cryptocurrency exchanges have been encouraged to strengthen withdrawal verification, employee authentication and suspicious transaction monitoring. Security teams should also prepare for deepfake impersonation attempts and require independent confirmation before processing unusual fund transfers.
The growing use of AI in cryptocurrency fraud demonstrates how attackers can exploit human trust without necessarily breaking the underlying blockchain technology. Strong account protection and careful verification remain essential to preventing financial losses.
