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It can—but an AI tool or a missing AI-specific policy does not, by itself, establish that an RIA has violated a standalone SEC AI rule. The more useful question is how the firm’s actual use of AI affects its existing duties to clients and its compliance program. Risk turns on what the tool does, what information it uses, whether its output influences advice or reaches investors, and how the firm reviews and supervises that output.
What rules apply to an RIA’s use of AI?
The starting point is the investment adviser’s existing fiduciary framework, not an assumption that every AI use is either prohibited or safe. SEC staff describes an adviser’s fiduciary duty under the Investment Advisers Act as comprising duties of care and loyalty, under the overarching principle of acting in the client’s best interest. The staff bulletin says the duty of care includes reasonable investigation of investments and advice based on a reasonable understanding of a client’s objectives.
Applied to AI, the question is whether the firm’s process and the resulting advice or interaction meet the obligations that apply to that firm and client relationship. A tool that summarizes research for an employee raises different questions from one that generates a recommendation, drafts personalized advice, or answers an investor directly. The technology does not settle whether the adviser has investigated adequately, accounted for a conflict, or acted in the client’s best interest.
That is a practical application of existing duties, not a new AI-specific standard stated in the bulletin. A firm’s particular obligations depend on its status, activities, client relationships, and applicable law.
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What has the SEC said about AI—and what is binding?
Regulatory materials on AI do not all have the same status. In particular, a proposal, an examination communication, a staff speech, and an advisory committee recommendation should not be described as though each were a final Commission rule.
| Material | What it says | How to treat it |
|---|---|---|
| SEC staff fiduciary-duty bulletin | Describes advisers’ duties of care and loyalty and the best-interest principle. | SEC staff explanation of the existing fiduciary framework, not a new AI rule. |
| SEC predictive-data-analytics release, July 26, 2023 | Proposed requirements for certain predictive-data-analytics and similar technology uses in investor interactions, including conflict evaluation and mitigation, written policies and procedures, and records. | A proposal, not a final rule. |
| Spring 2025 Unified Agenda entry | Describes the contemplated re-proposal as withdrawn from that agenda. | Rulemaking-plan context; an agenda entry is not itself a final determination of current law. |
| SEC Division of Investment Management Director Brian Daly’s speech, February 3, 2026 | Discusses AI in investment management and offers an LLM that answers questions using fund disclosures as an idea for discussion. | Staff-level discussion, not a mandate, guidance, or investment advice. Daly expressly called the idea a conversation starter. |
| SEC Investor Advisory Committee Disclosure Subcommittee recommendation | Recommends disclosure concerning AI’s impact on operations. | An advisory recommendation, not a Commission rule or binding adviser duty. |
The SEC Division of Examinations’ risk-alert index lists an alert titled “Examinations Observations Regarding Investment Adviser Annual Compliance Review,” dated September 14, 2026. The index describes the role of risk alerts in reminding firms of federal securities-law obligations and helping improve compliance systems, policies, and procedures. The listing alone does not establish that the alert is AI-specific or support claims about its detailed findings.
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For a publication-date legal conclusion, check the current rulemaking record and applicable law rather than treating a proposal or agenda entry as dispositive. The materials described above do not establish a universal, standalone SEC AI-policy mandate for all RIAs.
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A policy may fail to address the firm’s real exposure if it focuses only on naming approved tools, or if employees use AI in ways the firm has not identified. A risk-management review should examine the use case, not just the product label. The following comparison axes are a practical framework inferred from the fiduciary and compliance context; they are not an SEC-prescribed scoring model.
- Internal support or investor interaction: Is AI helping an employee organize internal material, or does its output reach a client or prospective investor?
- Influence on advice: Could the output affect research, a recommendation, portfolio decisions, or personalized communications, even if a person delivers the final answer?
- Information involved: Does the workflow use client information, confidential firm material, or other sensitive data? Which service or model receives it, and under what controls?
- Consequences of an error: Could an inaccurate summary, fabricated detail, omitted caveat, or unsuitable response affect an investor’s decision or the firm’s obligations?
- Review and accountability: Who checks the output, what can that person verify, and who is responsible for the final decision or communication?
- Records and supervision: What evidence does the firm need to understand how the tool was used, review decisions, and meet recordkeeping obligations that apply to the activity?
These distinctions help separate low-consequence drafting assistance from uses that can shape advice or create client-facing representations. Human review is meaningful only when the reviewer has the information, expertise, and time to assess the output; a nominal approval step does not explain how errors or conflicts are controlled.
How should a firm review its AI policy?
The following is a prudent risk-management approach, not a checklist expressly promulgated by the SEC. Use the firm’s actual workflows to test whether policy language matches practice.
- Inventory tools and uses. Identify firm-approved systems as well as AI features embedded in other services. Record what staff use them for, which teams use them, and whether use is permitted, restricted, or prohibited.
- Trace the path from input to decision. For each important use, note the data entered, the output produced, who receives it, and whether it can influence advice, a recommendation, or an investor interaction.
- Set controls proportionate to the use. Define limits for sensitive information and client-facing or advice-related outputs. Specify when qualified human review is needed and what the reviewer must verify before relying on or sending an output.
- Address conflicts and errors. Consider how a tool’s design, incentives, or use could put the firm’s interests ahead of investors. Establish how staff should handle unsupported claims, omissions, inaccurate output, or a conflict that cannot be adequately controlled.
- Align supervision and records. Assign responsibility for approving uses, monitoring compliance, escalating problems, and preserving records where applicable. Make procedures workable for the people expected to follow them.
- Revisit the policy through compliance review. Compare written rules with observed use, new workflows, and changes to tools. The SEC’s 2026 annual-review alert listing is timely compliance context, but the index does not make that alert an AI-specific requirement.
What should principals and CCOs decide now?
Start with the uses that can affect a client’s decision or put information in front of investors, then determine whether the firm can explain and supervise each one. Ask whether the relevant duty, risk, review process, and recordkeeping treatment are clear for the specific workflow—not merely whether an employee clicked an approved tool.
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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsWhere AI handles client data, influences advice or recommendations, relies on a third-party model, or interacts with investors automatically, the firm should have its compliance and legal advisers assess the concrete use against its existing obligations. The right conclusion is firm-specific: an AI policy can leave meaningful risks unmanaged, but the sources discussed here do not support treating every RIA as already subject to a new, universal SEC AI-policy rule.
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