The Commodity Futures Trading Commission (CFTC) has confirmed deployment of artificial intelligence tools to review cryptocurrency registration applications and monitor trading data, marking the first major US financial regulator to use AI to compensate for workforce reductions. According to reports from crypto.news, Chairman Michael Selig confirmed the AI deployment in an April 28 interview, stating the agency is building systems to automate registration reviews and flag applications containing blank spaces, inadequate descriptions, or incorrect information.
The CFTC's workforce has experienced a roughly 25% reduction since the start of 2025, with the agency's Chicago enforcement office having no active lawyers left following a string of departures and retirements. As reported by crypto.news, Representative Angie Craig, the top Democrat on the House Agriculture Committee, told Selig directly that "the agency's workforce is stretched too thin." Selig responded that the agency is "running more efficiently and effectively than ever before."
According to crypto.news, the CFTC has launched an Innovation Task Force covering three themes: crypto assets and blockchain, AI and autonomous systems, and prediction markets and event contracts. Selig described AI market surveillance tools already in place as capable of helping staff "reach conclusions about certain trades," and confirmed that Microsoft 365 Copilot is now being trained across all CFTC staff. The AI systems will flag incomplete applications, reject blank filings, and send inadequate submissions to the back of the queue without human review.
The timing of these AI deployments coincides with the CFTC's expanding jurisdiction over crypto and prediction markets under the CLARITY Act framework, which would make it the primary federal regulator for non-securities crypto trading. As reported by crypto.news, the agency is simultaneously suing New York, Illinois, Arizona, and Connecticut over prediction market jurisdiction, adding new caseload at precisely the moment its enforcement capacity is at a 15-year low. Critics warn that AI-reviewed applications could create new compliance blind spots, since the agency has not disclosed how algorithmic errors will be identified, appealed, or corrected.
