Regulatory Uncertainty Regarding Private Funds and Artificial Intelligence Utilization

As in most industries, private fund sponsors are increasingly assessing and beginning to adopt artificial intelligence-powered tools to rapidly analyze large volumes of data, identify trends and patterns and to generally make more informed decisions both in connection with internal operations and management of their funds and for enhancing efficiencies at their portfolio companies. AI technology’s ability to process information from disparate sources, such as financial reports, news articles and social media, and to purportedly predict market movements and inform portfolio allocations, is an area of particular interest in the private fund community.

Such processing and analytic capacity, along with developments in generative AI, are touted as enabling succinct and readily usable outputs. Some sponsors have adopted AI-based technology to enhance deal sourcing strategies, conduct competitor analyses, automate and expedite certain components of the due diligence process for prospective investments and streamline day-to-day operational tasks (thereby freeing time for professionals to engage in higher value tasks). AI technology adoption is expected to accelerate in portfolio valuation use cases, which proponents suggest is likely to result in more frequent valuations being conducted, thus enhancing the accuracy of utilized valuations.

In 2023, the SEC conducted a sweep of investment advisers, requesting information and documents regarding how they use artificial intelligence. Some requests made in connection with the sweep included production of documents and information related to potential AI-linked conflicts of interest, contingency plans for system failures in the event of an AI-related failure, reporting on AI systems that caused regulatory or legal issues and examples of advertising that mentions AI. Gary Gensler, chair of the SEC until he stepped down, effective Jan. 20, periodically expressed concerns about investment advisers’ use of AI and its implementation across the financial sector in general during his tenure, noting that overreliance on a small number of AI providers could result in financial instability and “drive us off an inadvertent cliff.” Gensler also expressed concerns about AI-washing, which occurs when, for example, a sponsor or investment adviser makes false or misleading claims about its competence with artificial intelligence, how it uses such technology internally or how it is used by a fund’s portfolio companies and, in each case, the purported results of such use.

The SEC’s 2025 examination priorities (released while Gensler was still chair of the agency) included assessing the use of AI when an investment adviser leverages it in advisory processes and the accuracy of any representations made about AI, along with the appropriateness of controls implemented in connection with it. Further, the SEC’s 2023 proposed rule for broker dealers and investment advisers would prevent firms from using predictive data analytics (including artificial intelligence) in a manner that creates a conflict of interest that places the firm’s interests ahead of those of its customers and clients.

The fate of the proposed rule is unclear, and it received significant industry pushback, with commentors noting it could require full cessation of operations in some circumstances due to the mandate to assess all potential conflicts of interest that could arise in connection with utilization of AI, as opposed to the requirements of existing securities laws, which are focused predominantly on full and fair disclosure of conflicts of interest.

The power and potential benefits of artificial intelligence are gaining traction with and piquing the interest of private fund sponsors (including investment advisers) and their investors, but uncertainty around how the SEC will ultimately assess, further regulate, or take enforcement actions regarding AI utilization and related practices warrants careful consideration prior to deployment of AI technology.

Gensler’s departure from the SEC and the Trump administration’s announcement the next day that it would invest $500 billion in AI infrastructure, along with President Trump’s general proclivity for reduced regulation and his revocation (on the premise that it stifled private innovation) of President Biden’s 2023 executive order targeted at reducing AI-related risks to U.S. citizens and national security potentially indicate a more favorable outlook for AI utilization in the private funds space. But material uncertainty remains.

Past SEC enforcement actions make it clear that private fund sponsors should carefully disclose their use of AI to investors in numerous circumstances, and it is imperative that such disclosures are fulsome, accurate and clear. In addition to such compliance with existing securities law requirements regarding full and fair disclosure, careful consideration of the SEC’s past practices generally and past and forthcoming guidance is advised in considering when and how to adopt and integrate AI-based technology into ordinary course operations or investment decision-making — at the portfolio company level or otherwise.

Sponsors interested in implementing AI-based technology internally or at the portfolio level, or investors seeking assistance with analyzing a private fund’s AI-related disclosures, should reach out to a member of Robinson Bradshaw’s Private Funds & Investments Practice Group.

About Private Fund Insights Blog

Private Fund Insights provides information and legal updates for both sponsors and investors in private funds of all types.

Related Posts

Jump to Page

Robinson, Bradshaw & Hinson, P.A. Cookie Preference Center

Your Privacy

When you visit our website, we use cookies on your browser to collect information. The information collected might relate to you, your preferences or your device, and is mostly used to make the site work as you expect it to and to provide a more personalized web experience. For more information about how we use cookies, please see our Privacy Policy.

Strictly Necessary Cookies

Always Active

Necessary cookies enable core functionality such as security, network management and accessibility. These cookies may only be disabled by changing your browser settings, but this may affect how the website functions.

Functional Cookies

Always Active

Some functions of the site require remembering user choices, for example your cookie preference or keyword search highlighting. These do not store any personal information.

Form Submissions

Always Active

When submitting your data, for example on a contact form or event registration, a cookie might be used to monitor the state of your submission across pages.

Performance Cookies

Performance cookies help us improve our website by collecting and reporting information on its usage. We access and process information from these cookies at an aggregate level.

Powered by Firmseek