🟡The threat of AI-powered crypto scams is growing

In 2024 alone, global losses from this type of crime reached US$4.6 billion, according to a report from B. Impersonation through deepfakes, social engineering schemes, and Ponzi-style projects disguised as DeFi or NFTs are presented as the main scams. Artificial intelligence (AI) is advancing at a breakneck pace and transforming not only the way we interact with technology but also our future. However, as this revolution accelerates, so do its risks and challenges. The effects are already visible: in 2024 alone, global losses from crypto scams reached US$4.6 billion, with deepfakes and social engineering being the main techniques used.

This data comes from a recent report published by the cryptocurrency exchange B in collaboration with blockchain security firms SlowMist and Elliptic. "Scammers are leveraging AI to generate more credible fake content, automate attacks, and scale their operations at reduced costs. This has made scams not only harder to detect but also more effective and widespread," commented Carolina Gama, country manager of X for Argentina, to LA NACION. In this regard, the study highlights three categories of scams: impersonation through deepfakes, social engineering schemes, and Ponzi-style projects disguised as DeFi or NFTs. After the thefts, criminals channel the funds through cross-chain bridges and obfuscation tools before reaching mixers or exchanges, complicating law enforcement and recovery efforts. "The biggest threat to cryptocurrencies today is not volatility; it is deception," remarked Gracy Chen, CEO of B.