TRM Labs report: AI driven crypto fraud cases increase by 500% year-on-year in 2025 BlockBeats News: On March 2nd, the latest report from blockchain analysis company TRM Labs pointed out that artificial intelligence is deeply reshaping the form of digital financial crime. By 2025, illegal cryptocurrency flows will reach $158 billion annually, with AI driven fraud cases increasing by approximately 500% year-on-year. The report shows that autonomous AI agents can automatically complete fund splitting, cross chain bridge selection, and decentralized platform exchange within seconds, significantly reducing the time window for money laundering and rendering traditional monitoring methods ineffective. TRM Labs warns that although AI does not create new criminal motives, it significantly reduces the threshold for large-scale evasion. Attackers can launch attacks through malicious prompt injection, data tampering, or key hijacking, and even build dedicated agents for sanction evasion. Meanwhile, well intentioned agents pursuing high returns may also introduce funds into risky entities, triggering compliance crises. The report emphasizes that responsibility tracing remains a challenge, as AI lacks legal subject status and responsibility falls back on designers, users, and beneficiaries. Although blockchain transparency helps with pattern analysis and fund tracking, jurisdictional conflicts under the global decentralized architecture urgently require international cooperation.