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Last verified 2026-10-12

AI regulation for funds

When a supervisor writes about AI, a fund firm needs one answer: does this change what we must document, test or sign off? This page tracks the AI rules, supervisory statements and enforcement actions that reach fund managers, administrators and depositaries.

For AI that fund firms have deployed, see AI news for funds. For the controls that apply job by job, see the use cases.

As at 2026-10-21 · Source: the issuer's document linked on each item (dated per item) · Limitations: coverage starts with the EU, UK, Luxembourg, Ireland, Jersey and Guernsey.

EU AI Act: which dates apply

The EU AI Act applies in steps. The prohibited practices and the AI literacy duty have applied since February 2025; the high-risk rules come later.

Source: European Commission, regulatory framework for AI, page dated 2026-08-03.

Latest statements

Latest additions verified 2026-10-21.

FCA: senior managers are personally accountable for AI systems, and significant AI failures and near-misses are incidents

FCA · 2026-10-19

Who it affectsCompliance and riskFund operationsTechnology

The FCA wants senior managers to be personally accountable for the AI systems their firms use. It also wants significant AI failures and near-misses reported through the major-incident reporting its rules already require. Jessica Rusu, the FCA's chief data, information and intelligence officer, set this out in a speech on 19 October. She also gave good and poor practice examples from the FCA's testing with firms this year.

A joint FCA and Bank of England survey, due the following week, shows 86% of firms now use AI. The speech sets out what supervisors expect, not new rules. The FCA will update its good and poor practice as the technology moves.

At a UK fund manager, this lands on the senior managers, on compliance and on the owners of operational resilience. It also reaches the outside suppliers that run AI on fund records.

Which senior manager is accountable for the firm's AI systems, and does the incident log have a category for an AI near-miss?

In practice: add significant AI failures and near-misses to the incident log and its escalation thresholds now. Then map every AI tool in use, including those run by suppliers and delegates, to the senior manager whose responsibilities cover it.

FSB finalises 12 sound practices for AI adoption, from board oversight to reliance on AI suppliers

Financial Stability Board · 2026-10-15

Who it affectsCompliance and riskFund operationsFund administration

The Financial Stability Board has finalised 12 sound practices for the use of AI by financial institutions, and strongly encourages firms to reference them. Four deal with governance: the board and senior management's oversight role, clear roles and responsibilities, AI risk in the risk framework with AI use documented, and continuous learning. The other eight follow each AI use case through its lifecycle, from choosing the AI technology and assessing its risk at the outset to data governance, explainability, performance checks, human oversight, cyber and ICT risk, and reliance on outside AI suppliers. The FSB calls them a toolkit to add to the cyber and third-party risk frameworks a firm already has. In practice: at a fund manager or administrator, keep a list of AI use cases, each with a risk rating, a named owner and the human sign-off, so the board can show it has referenced the practices.

EU AI Act: the AI Omnibus moves the Annex III high-risk rules to 2 December 2027

European Commission · 2026-08-03

Who it affectsCompliance and riskFund operationsTechnology

The AI Act entered into force on 1 August 2024. The prohibited practices and the AI literacy obligation have applied since 2 February 2025, and the general-purpose AI model obligations since 2 August 2025. The AI Omnibus has been in force since 27 July 2026. It moves the rules for high-risk systems in the Annex III areas to 2 December 2027, and for AI built into regulated products to 2 August 2028. In practice: the AI literacy duty already applies to any fund firm whose staff use AI tools. A training record per team is the evidence a supervisor or auditor will ask for first.

ESMA: firms using AI in investment services must meet MiFID II as they stand

ESMA · 2024-05-30

Who it affectsCompliance and riskPortfolio management

ESMA's public statement expects firms that use AI to comply with the existing MiFID II requirements. It points to organisational arrangements, conduct of business and the duty to act in the client's best interest. No new rulebook: the AI tool sits inside the controls the firm already has. In practice: for a manager with MiFID top-up permissions, an AI tool used in advice or portfolio management gets the governance, outsourcing and record-keeping treatment of any other system. It needs a named owner.

How to read a regulatory item

In practice: keep one AI register per firm, listing each tool, its owner, the data it touches and where the human sign-off sits. That register is the document these statements end up asking for.

To verify

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