Navigating the New Regulatory Landscape: How the EU AI Act is Transforming Asset Management
Artificial Intelligence (AI) has rapidly become a strategic pillar for the asset management industry. From portfolio optimization and risk modelling to client servicing, regulatory reporting, and operational automation, AI is reshaping how fund managers operate and compete. However, as these technologies become embedded in critical functions, the risks they introduce demand a robust regulatory response. To address these risks, the European Artificial Intelligence Act (AI Act) has been introduced.
1. AI Act in a Nutshell
The AI Act forms a key component of the EU’s strategy to define, oversee, and regulate artificial intelligence systems and their societal impact. It introduces a risk-based framework, with obligations varying according to the type of AI model and the role of the entity operating it. The Act applies to entities that provide, deploy, import, or distribute AI systems. As fund managers increasingly embed AI across their critical operating processes, they may fall within the scope of the AI Act, which will come into effect progressively in several phased stages.
Common Uses of AI by Fund Managers
- Portfolio optimization and asset allocation
- Credit, liquidity, and market risk modelling
- AML and fraud detection systems
- Suitability and appropriateness assessment
- Automated client onboarding (KYC)
- AI-assisted investor communication
- Real-time market surveillance
- Chatbots
- Fraud detection
- Credit scoring
2. A Risk-Based Framework
The AI Act classifies systems into four categories:
- Unacceptable risk – Forbidden by AI Act: Some AI systems are inherently harmful and banned, including manipulative psychological AI, social scoring systems, and untargeted scraping of biometric data.
- High risk – Subject to additional scrutiny and requirements: Most AI applications in portfolio management, risk, and compliance fall into this category.
- Limited risk – Includes chatbots and AI-assisted client communication tools.
- Minimal or no risk – Includes internal generative AI for summarizing public information and spam filters.
The framework applies to all AI systems, whether developed internally or from third-party providers, requiring continuous assessment for compliance.
What is the Impact of the AI Act?
The AI Act establishes various obligations for service providers and users, based on their level of risk:
- Risk assessment: All AI-powered systems must undergo a detailed risk assessment to verify their risk category under the AI Act.
- AI documentation: High-risk AI systems need to maintain and update detailed documentation and register in an EU database.
- Company-wide training: Organizations must ensure all employees understand the new requirements to avoid infractions that can incur hefty fines.
- Establish AI governance: Proper governance structures must be established to ensure compliance with all requirements.
5. AI: A Catalyst for Strategic Opportunities
AI is becoming a powerful catalyst for strategic opportunities in the asset management industry, enabling fund managers to unlock new sources of value. By enhancing risk management through advanced scenario modelling and automated anomaly detection, AI equips fund managers with sharper insights and faster decision-making capabilities. Generative AI may also improve client engagement with personalized reporting and seamless service delivery.
Key Figures
- 46% of investments in innovative technologies were made at the group level.
- 64% allow access for their employees to public GenAI tools.
- 63% of entities using AI have a dedicated data science team.
- 92% of reported AI use cases are for internal use.
- 61% leverage GenAI technology, followed by Natural Language Processing (NLP) and machine learning.
Next Steps
The forthcoming Digital Omnibus initiative will significantly shape the implementation of the AI Act. By rationalizing overlapping digital requirements across EU regulations, it aims to provide clarity on timelines and compliance. Asset managers should not interpret the Digital Omnibus as a delay mechanism, but rather as a way to smooth the path toward compliance.
Conclusion
As AI adoption accelerates, so does regulatory attention. The EU AI Act represents a fundamental shift in how AI systems will be governed, assessed, and supervised across financial services. Fund managers must adopt a structured approach to harness the benefits of AI while ensuring compliance with the new regulations.
