The US is betting on AI to catch insider trading in prediction markets

The US government is deploying AI algorithms to detect insider trading in prediction markets, aiming to catch manipulation 40% faster than human surveillance alone. The system analyzes 50,000 trades per second, flagging anomalous patterns that precede major event announcements. This new approach is cheaper than hiring 200 additional regulators, saving $15 million annually, and has already identified 12 suspicious accounts in early tests. Outperforming #4’s reliance on desperate human training programs, the AI method offers scalable, data-led enforcement—though critics note prediction markets remain a regulatory gray zone, with only 3% of trades currently subject to oversight.