SEC Division of Economic and Risk Analysis Director Josh White examined when structured financial disclosures justify their costs at a roundtable on machine-understandable data and superintelligence. He emphasized that automated systems need context to interpret and compare information, not simply extract it. The discussion sought practical evidence on investor benefits, preparation costs and data risks to inform the SEC’s approach to disclosure formats.
At the U.S. Securities and Exchange Commission’s roundtable on machine-understandable data and superintelligence, Josh White, director of the Division of Economic and Risk Analysis, examined when structured financial disclosures deliver benefits that justify their costs. His remarks distinguished making information machine-readable from enabling automated systems to understand what a number represents, interpret its context and compare it appropriately. Downloads of the SEC’s structured datasets have increased dramatically over the past year, underscoring the need to understand how investors and other users apply the information.
The discussion centered on whether structured data improve investment decisions and reduce analytical costs, and where the same information can be used effectively without a structured format. Key questions included whether superintelligence can reduce issuers’ disclosure preparation costs while improving quality, and how to address automated systems’ reliance on inaccurate, inconsistent or incomplete information. Practical examples of where structured disclosures add value, and where they do not, will help inform the SEC’s approach to disclosure formats and usability as technology evolves.
At its roundtable on structured data and super intelligence, the U.S. Securities and Exchange Commission highlighted how reliable data inputs could expand automated research coverage of smaller companies and potentially reduce their cost of capital. The discussion also examines compliance costs and whether alternatives to XBRL could improve the…
2026-10-19 U.S. Securities & Exchange Commission United States
The United States Securities and Exchange Commission will host a public roundtable on November 9, 2026, on machine-understandable data and Super Intelligence (SI), including related risks and costs. Feedback will inform staff’s understanding of how market participants and investors use data for SI solutions and how the commission can better…