US Regulator CFTC to Leverage AI for Crypto Registration Reviews

The US Commodity Futures Trading Commission, known for its openness to digital assets, is further embracing innovation by integrating artificial intelligence to compensate for its reduced workforce, according to Chairman Mike Selig. In an interview with CoinDesk, Selig, who is scheduled to appear at Consensus 2026, highlighted the potential of AI and automation in mitigating the impact of personnel cuts initiated under President Donald Trump's campaign to downsize federal staffing. The agency, poised to become a leading regulator in the US crypto sector, is advancing the use of technology to review registration applications and support market surveillance. Currently, the CFTC's registration process relies on manual document submissions, prompting the development of automated systems to increase efficiency. Selig explained that AI tools can review applications, flag issues for staff, and expedite feedback and rejection processes for incomplete or erroneous submissions. The agency is training staff to use Microsoft's Copilot and developing in-house tools for reviewing swap data and market surveillance, demonstrating its commitment to technological advancement. Under Selig's four-month leadership, the derivatives regulator has made significant strides in overseeing emerging technologies, including crypto and prediction markets. 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 development is expected to boost confidence among market participants, software developers, and consumers engaging with crypto systems. The CFTC is also taking action against fraud, manipulation, and insider trading in crypto markets. Furthermore, the agency has been involved in contentious issues surrounding prediction markets, with Selig asserting the CFTC's exclusive jurisdiction over these firms. The regulator has sued several states and joined 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, signaling a serious stance on market integrity.