BlockBeats News, March 2 — Blockchain analytics firm TRM Labs’ latest report states that artificial intelligence is deeply reshaping the landscape of digital financial crime. By 2025, illegal cryptocurrency flows are expected to reach up to $158 billion annually, with AI-driven scams increasing by approximately 500% year-over-year.
The report shows that autonomous AI agents can automatically complete fund splitting, cross-chain bridge selection, and decentralized platform exchanges within seconds, significantly compressing money laundering timeframes and rendering traditional monitoring methods ineffective.
TRM Labs warns that while AI has not created new motives for crime, it has significantly lowered the barriers for large-scale evasion. Attackers can launch attacks through malicious prompts, data tampering, or key hijacking, and even build dedicated agents to bypass sanctions. Meanwhile, well-intentioned agents seeking high returns may also inadvertently direct funds to risky entities, triggering compliance crises.
The report emphasizes that accountability remains a challenge, as AI lacks legal personhood, and responsibility ultimately falls on designers, users, and beneficiaries. Although blockchain transparency aids pattern analysis and fund tracking, jurisdictional conflicts under the global decentralized architecture urgently require international cooperation.
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