US Crypto Regulatory Body to Utilize AI for Application Review
The US Commodity Futures Trading Commission, known for its openness to digital assets, is turning to artificial intelligence to offset the impact of significant workforce reductions. Chairman Mike Selig revealed in an interview that the agency is leveraging AI and automation to compensate for personnel cuts, in line with the federal government's efforts to reduce staffing. The CFTC, poised to become a leading regulator in the US crypto sector, is exploring the use of technology to streamline registration application reviews and enhance market surveillance. Currently, the registration process involves manual document submission, but the agency is developing systems to automate this process, making it more efficient. AI tools will be employed to review applications, flag issues for staff, and accelerate the feedback and rejection process 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 conducting market surveillance. Under Chairman Selig's leadership, the CFTC has been actively engaging with emerging technologies, including crypto and prediction markets. A key initiative has been the development of a crypto taxonomy, a system of definitions for digital assets, in collaboration with the Securities and Exchange Commission. This move aims to provide clarity for market participants, software developers, and consumers, enabling them to engage with crypto systems and assets with confidence. The agency is also taking action to police fraud, manipulation, and insider trading in crypto markets. Furthermore, the CFTC has been involved in controversies surrounding prediction markets, with Chairman Selig asserting the agency's exclusive jurisdiction over these firms. The CFTC has sued several states challenging companies for violating state gaming laws and has joined a Department of Justice case against an individual accused of using confidential government information and committing fraud in prediction-market bets.