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Enterprise AI Analysis: AI governance after MiFID II: beyond (mere) technological neutrality?

AI Research Analysis

AI governance after MiFID II: beyond (mere) technological neutrality?

This article examines the evolving intersections between artificial intelligence (AI) and EU financial regulation, focusing on the Markets in Financial Instruments Directive II (MiFID II). Grounded in the principle of technological neutrality, MiFID II seeks to enhance investor protection, safeguard market integrity, and ensure that innovation develops within competitive and well-regulated markets across the Union. The article argues, however, that while this neutrality renders the framework functionally enabling, it also leaves it normatively silent in the face of the distinctive and evolving risks introduced by financial AI. As AI applications become increasingly heterogeneous—both across the financial functions in which they are deployed and in their underlying lifecycles and value chains—MiFID II's activity-based logic increasingly struggles to accommodate their diverse and evolving risk profiles. Reflecting the EU's broader shift toward risk-based AI governance, the article outlines an initial taxonomy of financial AI applications designed to guide the proportionate alignment of regulatory obligations with AI-related risks, thereby supporting the continued adaptability, coherence, and future-proofing of EU financial services law.

Key Findings & Executive Impact

Understanding the core insights from the research and their implications for your enterprise strategy.

0 EU Banks Deploying AI
0 Rise in Financial AI Investment (EU)
0 ESMA Supervisory Priorities for AI in Retail Investment Services

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

EU Financial Regulation

MiFID II's Regulatory Blind Spot

Despite MiFID II's functional flexibility, its core design—rooted in a pre-AI era—struggles to address the distinctive risks posed by advanced AI systems.

Silent On AI-specific risks

Evolution of EU AI Governance

MiFID II (Neutrality)
ESMA Soft Law (Guidance)
AI Act (Risk-Based Framework)
MiFID III (Proportionality)

AI Risk Categories in Financial Services

A comparative overview of how different AI applications introduce diverse risk profiles under MiFID II.

Application Domain Key Risks Addressed by MiFID II AI-Specific Gaps/Risks
Consumer-Facing AI
  • Investor Protection
  • Conduct of Business
  • Profiling Bias
  • Explainability
  • Hyper-Nudging
Market-Facing AI (Algorithmic Trading)
  • Market Integrity
  • Orderliness
  • Abuse Prevention
  • Model Opacity
  • Adaptivity
  • Emergent Behavior
Firm-Internal (RegTech)
  • Operational Resilience
  • Internal Control
  • Data Quality
  • Automation Bias
  • Third-Party Dependency
Supervisory (SupTech)
  • Data Availability
  • Enforcement Efficiency
  • Algorithmic Legitimacy
  • Accountability
  • Explainability

AI Act's Impact on Financial AI

The AI Act introduces a horizontal framework that classifies AI systems by risk, influencing financial sector applications like credit scoring.

Challenge: Integrating cross-sectoral AI regulation into existing financial law.

Solution: AI Act classifies certain financial AI uses (e.g., credit scoring) as 'high-risk', imposing proportionate obligations.

Outcome: Promotes coherence across EU AI governance while ensuring investor protection and market integrity.

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Proposed AI Governance Roadmap

A phased approach to integrating a risk-based AI governance framework into your existing MiFID II compliance.

Phase 1: AI Inventory & Risk Mapping

Firms must identify all AI systems, their functional domains, and assess risk profiles (intrinsic/structural complexity, severity).

Phase 2: Supervisory Guidance & Soft Law Integration

Leverage ESMA guidance to align regulatory expectations and compliance mechanisms with AI-specific risks.

Phase 3: RTS/ITS Development & Standardisation

Formalise proportionate documentation, testing, and disclosure duties calibrated to technology-specific risks via technical standards.

Phase 4: Legislative Reform (MiFID III)

If current measures prove insufficient, codify risk-based proportionality within the legislative framework for long-term adaptability.

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