US Crypto Regulatory Body to Utilize AI for Application Review

The US Commodity Futures Trading Commission, known for its embrace of digital assets, is now turning to artificial intelligence to compensate for a significant reduction in its workforce. Chairman Mike Selig revealed in an interview that the agency is leveraging AI and automation to make up for staff cuts, as part of President Donald Trump's initiative to reduce federal staffing. The CFTC, poised to become a leading regulator in the US crypto sector, is exploring the use of technology to review registration applications and aid in market surveillance. Currently, the registration process relies on manual document submission, but the agency is working to automate this process, making it more efficient. AI tools can review applications, flag issues for staff, and accelerate the feedback and rejection process for incomplete or erroneous submissions. The agency is also training staff to use Microsoft's Copilot and developing in-house tools for reviewing swap data and market surveillance. Under Selig's four-month leadership, the CFTC has taken a proactive stance on 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 development is expected to boost confidence among market participants, software developers, and consumers engaging with crypto systems. The CFTC is committed to policing fraud, manipulation, and insider trading in crypto markets. However, its stance on prediction markets has been contentious, with the agency asserting its exclusive jurisdiction over these businesses. The CFTC has sued several states, defending its authority, and recently joined a Department of Justice case against a US Army soldier accused of insider trading in prediction markets. Chairman Selig emphasized the agency's commitment to enforcing regulations and taking action against bad actors in the markets.