Key Takeaways
- • The Managed Funds Association (MFA) submitted a letter to the House Financial Services Committee asserting that existing securities laws—particularly the Investment Advisers Act of 1940 and SEC rules—provide sufficient regulatory framework for AI deployment in capital markets without requiring new prescriptive regulations.
- • Alternative asset managers are actively deploying AI across investment management, portfolio optimization, risk controls, compliance, cybersecurity, and operational functions to improve efficiency and serve institutional clients including pensions, foundations, and endowments.
- • MFA advocates for maintaining principles-based regulatory approach rather than creating a separate AI-specific regulatory regime, arguing that flexible, technology-neutral frameworks allow firms to tailor governance and controls to different applications while preventing rules from becoming obsolete.
- • Investment advisers remain accountable under fiduciary duties, compliance, disclosure, recordkeeping, trading, and supervisory obligations regardless of whether they employ traditional software, quantitative models, or AI-enabled tools.
Summary
The Managed Funds Association has taken a formal position on artificial intelligence regulation in capital markets, advocating for regulatory restraint through a letter submitted to the House Financial Services Committee on Friday. The MFA's stance centers on the argument that existing securities law already provides a comprehensive and flexible framework for governing AI development and deployment without requiring new prescriptive regulations specific to the technology.
MFA President and CEO Bryan Corbett emphasized that alternative investment advisers are actively leveraging AI to enhance portfolio management, risk controls, and investment research for their institutional clients, which include pension funds, foundations, and endowments. The organization contends that the Investment Advisers Act of 1940 and Securities and Exchange Commission rules establish clear accountability mechanisms applicable to all advisory technologies, whether traditional software, quantitative models, or AI systems. This principles-based approach maintains regulatory flexibility while ensuring compliance through existing fiduciary, compliance, disclosure, recordkeeping, trading, and supervisory obligations.
The MFA's position reflects a broader industry perspective that creating separate regulatory regimes for AI would depart from the historical pattern of how securities laws have accommodated technological innovation. By maintaining technology-neutral standards, regulators allow investment advisers to tailor governance structures and risk controls to specific applications, preventing regulations from becoming outdated as AI capabilities evolve. The organization argues this approach balances the need for investor protection with the flexibility required for responsible innovation in asset management.
MFA President and CEO Bryan Corbett emphasized that alternative investment advisers are actively leveraging AI to enhance portfolio management, risk controls, and investment research for their institutional clients, which include pension funds, foundations, and endowments. The organization contends that the Investment Advisers Act of 1940 and Securities and Exchange Commission rules establish clear accountability mechanisms applicable to all advisory technologies, whether traditional software, quantitative models, or AI systems. This principles-based approach maintains regulatory flexibility while ensuring compliance through existing fiduciary, compliance, disclosure, recordkeeping, trading, and supervisory obligations.
The MFA's position reflects a broader industry perspective that creating separate regulatory regimes for AI would depart from the historical pattern of how securities laws have accommodated technological innovation. By maintaining technology-neutral standards, regulators allow investment advisers to tailor governance structures and risk controls to specific applications, preventing regulations from becoming outdated as AI capabilities evolve. The organization argues this approach balances the need for investor protection with the flexibility required for responsible innovation in asset management.
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