U.S. SEC to hold machine-understandable data roundtable in November

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SEC data roundtable November

Highlights

The U.S. SEC will hold a public roundtable at its Washington, D.C. headquarters on November 9, 2026, focused on machine-understandable data and Super Intelligence (SI).
Market participants' feedback will guide the SEC in understanding public and firm usage of SI and machine-understandable data for financial decision-making.
The roundtable may influence future SEC approaches to disclosure usability, data quality, compliance costs, and regulatory oversight of SI within capital markets.

Roundtable agenda and public access

As announced by the U.S. Securities and Exchange Commission, the roundtable is scheduled for November 9, 2026, and will focus on the use of machine-understandable data and Super Intelligence, or SI, along with the associated risks and costs.

Joshua White, the agency's chief economist and director of the Division of Economic and Risk Analysis, said high-quality information is critical in the age of SI. He said the discussion is intended to generate insight into how the public uses machine-understandable data and SI, and how the Commission can better facilitate SI through its work.

The event is open to the public and will take place at SEC headquarters, 100 F Street, N.E., Washington, D.C., from 9 a.m. to 3:30 p.m. EST. In-person attendance may be limited, visitors are subject to security checks, and the discussion is also being streamed live on SEC.gov, with a recording to be posted later.

Implications for markets and regulation

The session highlights the regulator's focus on how emerging AI-related tools are intersecting with financial disclosure and market information systems. Feedback from market participants is expected to help the SEC assess how the investing public and firms are applying machine-understandable data in SI solutions.

For the broader financial sector, the roundtable may shape future thinking on disclosure usability, data quality, and the compliance costs tied to more advanced automated analysis. It also signals continued regulatory attention to the operational and investor-protection questions raised by the growing use of SI in capital markets.

In our earlier article on the Bank of England’s warning about AI-driven cyber threats, we covered regulators’ push for banks to strengthen cyber resilience and plan for “bare metal” recovery so critical services can continue even if core systems are compromised. The report highlighted concerns that advancing AI could amplify the scale and complexity of attacks, making end-to-end recovery planning a growing financial-stability priority.

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