SEC to Hold Roundtable on Machine-Readable Data and Superintelligence on November 9
The U.S. Securities and Exchange Commission (SEC) has announced that it will hold a public roundtable on November 9, 2026, at its headquarters in Washington, D.C., to discuss the use of machine-readable data and superintelligence (SI) in the market, along with associated risks and costs.
The meeting will be hosted by the Office of Data Standards and Innovation within the Division of Economic and Risk Analysis, from 9:00 AM to 3:30 PM (Eastern Time). Discussions will be streamed live on the SEC website, with limited in-person attendance subject to security screening.
Chief Economist and Director of the Division of Economic and Risk Analysis, Joshua White, stated that high-quality information is crucial in the era of superintelligence. The roundtable will gather feedback from market participants and the public on the use of machine-readable data and SI solutions to help the SEC better promote relevant technologies.
The meeting will focus on how machine-readable data supports superintelligent applications, as well as the accompanying risks and costs. The SEC aims to understand actual market usage and adjust its regulatory approach accordingly.
Regulators are incorporating discussions on superintelligence and data standardization into the public dialogue framework. Funding and resources are directed towards providers of data infrastructure and AI-related solutions, and market participants need to assess compliance and technical costs.
Source: Public Information
ABAB AI Insight
The SEC has long collected market feedback through public meetings to shape its regulatory thinking. This roundtable, hosted by the Office of Data Standards and Innovation within the Division of Economic and Risk Analysis, focuses on machine-readable data and superintelligence. The path extends from traditional information disclosure regulation to how data is used by machines and superintelligent systems.
On the capital path, discussions involve the costs and risks of deploying data standardization and superintelligent solutions. The strategic motive is to understand actual market usage to determine how the SEC should promote or regulate relevant technologies, rather than directly establishing new rules.
Similar cases involve other regulatory agencies holding roundtables on emerging technologies to gather industry opinions. This is currently in the early public phase of discussions regarding superintelligence-related policies.
Essentially, this belongs to the regulatory framework adapting to technological changes. Machine-readable data becomes the foundation for superintelligent applications, with the mechanism being that regulators identify risks, costs, and actual usage scenarios through public discussions, to subsequently decide whether and how to adjust information disclosure and market regulation methods.
ABAB News · Law of Cognition
Data must first be machine-readable before discussing superintelligence
The roundtable collects feedback; rules have not yet been established
High-quality information is a prerequisite; risks and costs must be clearly calculated