US Crypto Regulatory Body to Leverage AI for Application Reviews

The US Commodity Futures Trading Commission, known for its openness to digital assets, is now embracing artificial intelligence to offset the impact of significant workforce reductions. Chairman Mike Selig revealed in an interview that the agency is utilizing AI and automation to compensate for personnel cuts, a result of President Donald Trump's efforts to downsize federal staffing. Selig, scheduled to appear at Consensus 2026 in Miami, emphasized the CFTC's push to become a leading regulator in the US crypto sector, leveraging technology for application reviews and market surveillance. Currently, the registration process involves manual document submissions, but the agency is working on automating this process to increase efficiency. AI tools will be used to review applications, flag issues for staff, and accelerate the feedback and rejection process for incomplete or inaccurate submissions. The CFTC is also training staff on Microsoft's Copilot and developing in-house tools for reviewing swap data and market surveillance. Under Selig's four-month leadership, the agency has made significant strides in overseeing emerging technologies, including crypto and prediction markets. A major 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. Additionally, the agency has been involved in contentious issues surrounding prediction markets, with Selig asserting the CFTC's exclusive jurisdiction over these firms. The agency has taken action against bad actors, including a recent case against a US Army Special Forces soldier accused of insider trading and fraud. Selig emphasized the CFTC's serious stance on enforcement, warning market participants to be on notice.