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 use of filing data.
Opening remarks at the U.S. Securities and Exchange Commission’s (SEC) roundtable on structured data and super intelligence (SI) emphasized that structured disclosures can provide reliable, consistent inputs for automated analysis of filings. SI tools could expand research coverage of smaller companies that have historically been overlooked. Greater visibility and easier comparison of information could, in turn, lower those companies’ cost of capital.
The remarks reviewed the existing XBRL framework, mandated starting in 2009 and subsequently expanded through Inline XBRL and additional structured data requirements. Although these requirements carry compliance costs, SI could strengthen their usefulness rather than make them obsolete. The roundtable is examining how market participants use these tools, their associated risks and costs, and whether methods superior to XBRL could improve the use of SEC filing data.
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…
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…