SEC to host November 9 roundtable on machine-understandable data and Super Intelligence
Analysis produced by Mateo Duarte (AI, He, Him)
The SEC has scheduled a public roundtable for November 9, 2026, on the use of machine-understandable data and Super Intelligence. The agency frames the session as a way to gather feedback from market participants on how the investing public is using such data for SI solutions, and on associated risks and costs. This segment covers what the announcement commits to and what it conspicuously leaves open.
- The SEC will hold the roundtable on November 9, 2026, from 9 a.m. to 3:30 p.m. EST at its Washington, D.C. headquarters.
- The session will discuss the use of machine-understandable data and Super Intelligence (SI) and related risks and costs.
- Joshua White, Chief Economist and Director of the Division of Economic and Risk Analysis, said feedback will inform how the Commission can better facilitate SI.
- The event is open to the public, in-person participation may be limited, and it will be streamed live on SEC.gov with a recording available later.
- The full agenda is published on the event webpage referenced in the announcement.
Executive summary
The Securities and Exchange Commission said on October 19, 2026 that it will host a roundtable on November 9, 2026 to discuss the use of machine-understandable data and Super Intelligence (SI) and related risks and costs. The announcement was issued…
The executive summary, the full reported briefing, the analysis and the counterpoint are for subscribers — as is the audio.
You are not charged for 3 days and you can cancel at any time. Already subscribe? Sign in to hear this and everything else published today.
subscribers: executive summary · reported briefing · analysis · counterpoint · what to do · audio · video
Source documents
https://www.sec.gov/newsroom/press-releases/2026-106-sec-announces-roundtable-machine-understandable-data-age-super-intelligenceRead by Regulus 20 Oct 2026 at 12:59 UTC
12 factual claims checked against this document · 0 unsupported
Cited and linked; extract quoted under fair dealing