SEC Investor Advisory Committee to Tackle Artificial Intelligence in Public Markets and Reg NMS Overhaul

WASHINGTON, D.C. — As financial markets grapple with an unprecedented wave of algorithmic trading, automated execution, and generative artificial intelligence, the Securities and Exchange Commission’s (SEC) Investor Advisory Committee is preparing for a high-stakes public meeting. Scheduled for September 10, 2026, at 10:00 a.m. ET at the SEC’s Washington, D.C. headquarters, the upcoming session will place two of the most transformative forces in modern finance under the regulatory microscope: the rapid integration of artificial intelligence technologies in public markets and comprehensive modernization efforts surrounding the SEC’s Regulation National Market System (Reg NMS) rules.

The meeting, which will be open to the public in person and broadcast globally via live webcast on the official SEC website, arrives at a critical juncture for securities regulators. Market participants, institutional investors, retail traders, and academic researchers are increasingly raising questions about systemic stability, market fairness, and transparency in an era dominated by machine learning models and high-speed data feeds. By dedicating substantial agenda time to these topics, the Investor Advisory Committee aims to gather expert testimony, formulate actionable findings, and provide vital recommendations to the Commission as it shapes the future of U.S. capital market oversight.

Main Facts

The upcoming public meeting of the SEC Investor Advisory Committee centers on two core pillars of contemporary market structure and regulation:

• Date and Location: The meeting will take place on September 10, 2026, beginning at 10:00 a.m. ET. It will be hosted at the SEC Headquarters in Washington, D.C., and streamed live for remote viewers via the agency’s web portal.
• Core Discussion Topics: The agenda is divided into two primary panel discussions addressing the proliferation of artificial intelligence in public markets and the ongoing evolution of Regulation NMS (Reg NMS) rules.
• The Role of the Committee: Established by statute under the Dodd-Frank Wall Street Reform and Consumer Protection Act, the Investor Advisory Committee is congressionally authorized to advise the Commission on regulatory priorities, initiatives to protect investors, and measures designed to promote the integrity, efficiency, and fairness of U.S. securities markets.
• Accessibility: The complete meeting agenda, along with background materials and speaker lists, has been made publicly available on the official SEC Investor Advisory Committee webpage.

The dual focus on artificial intelligence and market structure rules reflects the dual pressures currently facing regulators: managing technological disruption driven by private sector innovation while simultaneously updating foundational market plumbing designed decades ago for a vastly different trading environment.

Chronology of Events and Regulatory Context

To understand the significance of the September 10 meeting, it is necessary to examine the timeline of technological integration and regulatory evolution that has brought U.S. public markets to this crossroads.

The Evolution of Automated and Algorithmic Trading (2010–2020)

For over a decade, U.S. equity markets have operated primarily on electronic execution systems. Following the decimalization of stock prices in the early 2000s and the adoption of Regulation NMS in 2005, trading volumes shifted rapidly from physical trading floors to fragmented electronic exchanges and alternative trading systems (ATSs). Algorithms gradually replaced human market makers, introducing high-frequency trading (HFT) firms that captured vast shares of daily volume. While these developments narrowed bid-ask spreads and increased market liquidity, they also introduced new complexities, such as "flash crashes" and concerns regarding market access fairness.

The Rise of Generative AI and Machine Learning (2021–2025)

The introduction of advanced large language models, predictive analytics, and deep learning architectures transformed the financial sector between 2021 and 2025. Financial institutions moved beyond traditional quantitative algorithms toward autonomous AI agents capable of analyzing unstructured data, sentiment analysis from earnings calls, real-time macroeconomic news parsing, and automated portfolio rebalancing. Simultaneously, retail investors gained access to sophisticated AI-driven trading tools through consumer-facing fintech applications, blurring the line between institutional and retail trading capabilities.

Regulatory Scrutiny and SEC Action (2023–2026)

As AI adoption accelerated, SEC leadership repeatedly issued warnings regarding "AI washing"—the misrepresentation of AI capabilities by public companies—and the potential for algorithmic bias, systemic fragility, and market manipulation. In parallel, the SEC embarked on a multi-year effort to update Regulation NMS, proposing and adopting sweeping rule amendments designed to recalibrate tick sizes, access fees, and market data infrastructure to better reflect modern trading realities.

By mid-2026, the intersection of advanced AI deployment and structural market rules reached a boiling point, prompting the Investor Advisory Committee to place these items front and center for its fall session.

Supporting Data and Market Dynamics

The urgency surrounding the September 10 meeting is underscored by profound shifts in market microstructure, data consumption, and technological expenditure across Wall Street.

The Exponential Growth of AI Infrastructure in Finance

According to industry analyses from leading financial technology research groups, global financial institutions increased their spending on artificial intelligence and machine learning infrastructure by more than 40% annually between 2023 and 2026. Key areas of deployment include:

• Compliance and Surveillance: Automated systems monitoring millions of transactions per second for suspicious activity, insider trading, and market abuse.
• Execution Algorithms: Smart order routers (SORs) powered by reinforcement learning to minimize market impact and reduce transaction costs across fragmented venues.
• Corporate Reporting and Investor Relations: Public companies increasingly utilizing generative AI to draft disclosures, manage earnings call transcripts, and forecast financial performance.

Regulation NMS and Market Fragmentation

Regulation NMS, originally implemented in 2005, established rules governing order protection, market access, and the dissemination of market data. However, the modern market ecosystem has evolved far beyond the vision of the mid-2000s:

• Market Fragmentation: Trading is now dispersed across 16 national securities exchanges, dozens of dark pools, and numerous internalizing broker-dealers.
• Consolidated Audit Trail (CAT): The full implementation of the CAT has provided regulators with unprecedented visibility into order lifecycles, revealing the sheer scale of algorithmic and automated participation.
• Tick Size and Access Fee Reforms: Recent SEC initiatives to refine minimum pricing increments and access fee caps highlight ongoing structural adjustments necessary to ensure transparent price discovery.

The combination of fragmented execution venues and autonomous algorithmic decision-making creates fertile ground for complex market events, making the Committee’s upcoming discussions vital for identifying regulatory blind spots.

Official Responses and Stakeholder Perspectives

As the date of the public meeting approaches, stakeholders across the financial ecosystem have expressed varied viewpoints on how the SEC should approach AI regulation and market structure modernization.

Investor Protection Advocates

Investor advocacy groups emphasize the urgent need for clear regulatory guardrails regarding AI use in investment advice and public company disclosures. Representatives argue that while technological innovation offers efficiency, it also introduces opaque risks that retail investors are ill-equipped to evaluate. "When algorithms make complex trading decisions or when public companies rely on unverified AI models for financial forecasting, investors bear the ultimate risk," notes a prominent investor advocacy representative. "The SEC must ensure that accountability remains clear and that transparency is not sacrificed for speed."

Financial Industry and Broker-Dealer Associations

Conversely, industry trade associations and securities firms urge regulators to adopt a balanced approach that does not stifle innovation or diminish market liquidity. Many market participants argue that existing federal securities laws—including general anti-fraud provisions and fiduciary duties—are already sufficient to cover AI-driven misconduct. They caution that overly prescriptive rules could place U.S. markets at a competitive disadvantage globally. "Artificial intelligence is a tool, not a distinct asset class," remarked a senior representative from a major financial markets association. "Our regulatory framework should focus on outcomes, ensuring market integrity and investor protection without imposing rigid technological mandates that could freeze innovation."

The SEC Perspective

Chair Gary Gensler and other senior SEC officials have repeatedly highlighted the transformative—and potentially destabilizing—nature of predictive data analytics and artificial intelligence in finance. Regulators have expressed specific concern over "conflict-optimized" algorithms that prioritize platform profitability or intermediary interests over the best execution interests of investors. Through the Investor Advisory Committee, the Commission seeks to tap into diverse perspectives from academia, institutional investors, retail advocates, and market operators to design pragmatic, future-proof regulatory strategies.

Implications for the Future of U.S. Capital Markets

The deliberations and subsequent recommendations emerging from the September 10 Investor Advisory Committee meeting will carry profound implications for the trajectory of U.S. securities regulation over the remainder of the decade.

1. Shaping Future Rulemaking on Artificial Intelligence

While the Investor Advisory Committee operates in an advisory capacity rather than a rule-making role, its findings historically serve as foundational blueprints for formal SEC proposed rules. Recommendations regarding AI governance, model validation, algorithmic transparency, and accountability could lead to new guidance or formal rulemaking regarding how financial advisors, broker-dealers, and public issuers deploy machine learning technologies.

2. Modernizing Market Structure under Reg NMS

As the SEC continues to refine Regulation NMS, insights from the committee’s panels will help determine how modern market plumbing adapts to high-speed, AI-driven order routing. Ensuring that consolidated market data and order protection rules function effectively in an environment dominated by sub-millisecond execution speeds is paramount to maintaining public trust in fair and orderly markets.

3. Preserving Investor Confidence and Market Integrity

Ultimately, the central mission of the SEC and its advisory bodies is to protect investors and maintain fair, orderly, and efficient markets. As artificial intelligence redefines the boundaries of financial capability, regulatory frameworks must evolve concurrently. The September 10 meeting represents a vital public forum where policymakers, experts, and stakeholders can collaborate to ensure that technological progress serves the broader public interest without compromising market stability or investor trust.

Additional Information

Members of the public and interested parties can access the full meeting agenda, background documents, and registration details for the live webcast by visiting the official SEC Investor Advisory Committee webpage. Written comments and submissions related to the agenda topics may also be submitted to the Commission through its established public comment portals.