US Crypto Regulatory Body to Leverage AI for Application Reviews
The US Commodity Futures Trading Commission, known for its open approach to digital assets, is now turning to artificial intelligence to compensate for a significant reduction in its workforce, as stated by Chairman Mike Selig in an interview. Selig, who is scheduled to appear at Consensus 2026, mentioned that AI and automation are being utilized to make up for personnel cuts, part of a broader effort to reduce federal staffing. The agency, poised to become a leading regulator for the crypto sector, is working to implement AI in reviewing registration applications and aiding in market surveillance. Currently, the CFTC's registration process relies heavily on manual document submissions, prompting the development of automated systems to increase efficiency. AI tools are being explored to review applications, flag issues for staff, and streamline the feedback process. Furthermore, these tools can identify and reject incomplete or erroneous applications. The agency is training staff to use Microsoft's Copilot and is also developing in-house tools for reviewing swap data and market surveillance purposes. Since taking the helm four months ago, Selig has led the agency in embracing emerging technologies, including crypto and prediction markets oversight. A key initiative has been the joint guidance with the Securities and Exchange Commission to establish a taxonomy for digital assets, providing clarity on regulatory jurisdictions. This move is expected to allow market participants to engage with crypto systems confidently, knowing they are not inadvertently violating securities laws. The CFTC is also taking action against fraud, manipulation, and insider trading in crypto markets. Additionally, the agency has been involved in contentious issues surrounding prediction markets, with Selig maintaining that the CFTC has exclusive jurisdiction over these businesses. Recent actions include joining a Department of Justice case against an individual accused of using confidential government information for prediction-market bets. Selig emphasized the agency's commitment to enforcing regulations and taking action against bad actors in the markets.