Financial criminals are increasingly using crypto exchanges and legitimate businesses to launder money, outpacing traditional anti-money laundering (AML) methods. Studies indicate that current AML policies are seizing less than 0.2 percent of laundered funds, highlighting a significant gap between policy intent and actual results. Experts, including Sauradeep Bag, argue that the integration of AI could be a game-changer in both committing and preventing financial crimes. Meanwhile, China’s Congress is taking a proactive stance by introducing new laws to address crypto money laundering activities. The new legislation adds seven criminal links to clamp down on tech-driven cash tricks and underground exchanges. Experts emphasize the importance of using existing accountability mechanisms to combat money laundering.