is increasingly pivotal in combating cryptocurrency scams. For instance, researchers at San Diego State University developed an AI system, GiveawayScamHunter, to detect and expose cryptocurrency giveaway scams on Twitter. This system identified over 95,000 scam lists and extracted information related to 327 scam domains and 121 scam-related wallet addresses, shedding light on how these scams operate and the scale of victimization​​

Subset of AI, is employed to analyze data from previously identified scams, enabling the identification of new scam patterns and unreported scam websites and wallets​​. However, the battle against scams is ongoing, with nearly 44% of spam accounts remaining active, indicating an urgent need for improved AI detection and prevention strategies​​.

Interestingly, scammers are also utilizing AI to enhance their fraudulent activities. They leverage AI tools to create fake accounts and interactions, giving an illusion of credibility to their scam projects. AI-driven chatbots and virtual assistants are used to engage with potential victims, offering fraudulent investment advice and promoting fake tokens and high-yield opportunities​​.