Between the rise of artificial intelligence in banking services, the implementation of new European regulations, and the strategic repositioning of major institutions, finance in 2024 is viewed through specific regulatory and technological facts. Measuring these developments requires comparing what has changed in terms of regulations, not just in terms of usage.
AI Act and banking compliance: the regulatory timeline that finance must integrate
Articles on financial trends mention artificial intelligence as a productivity lever. They overlook the associated regulatory constraints. The European AI Act, which came into force in 2024, imposes a timeline of staggered obligations on financial institutions until 2027-2028.
Banks must map their AI usage, classify each system according to its risk level, and document their governance frameworks. A chatbot directing a customer to a savings product does not fall under the same regime as a credit scoring model. Every AI tool used in front or back-office must be classified according to the categories defined by the regulation.
Several deadlines have already been set. Systems deemed to pose unacceptable risk are prohibited from the outset. High-risk systems, many of which pertain to finance (credit scoring, fraud detection, customer profiling), will need to meet requirements for transparency, robustness, and human oversight within two years of the regulation coming into force. The news published on Finance Libre regularly details the steps for compliance for industry players.
Comparative table: AI regulation in finance according to European authorities
Several institutions published analyses or distinct frameworks in 2024. Their approaches differ in terms of the scope covered and the risks highlighted.
| Institution | Publication 2024 | Main Angle |
|---|---|---|
| European Commission (AI Act) | Regulation came into force | Classification of AI systems by risk level, staggered compliance obligations |
| ECB | Analysis published in May 2024 | Financial stability: concentration of suppliers, crowd behavior among models, cyber risks |
| Basel Committee | Report on the digitalization of finance (May 2024) | Risks related to technological dependence, governance of models, prudential supervision |
The contrast between these three publications deserves attention. The AI Act sets a binding legal framework with deadlines. The ECB adopts a more cautious tone and raises the possibility of targeted measures if the existing framework becomes insufficient. The Basel Committee explicitly addresses dependence on technology suppliers as a potential systemic risk.
Concentration of AI suppliers: an underestimated financial risk
The ECB pointed out in May 2024 a phenomenon rarely addressed in trend assessments: the concentration of AI suppliers used by banks. A few tech players provide language models, cloud infrastructures, and predictive analytics components to a large part of the European financial sector.
The problem is twofold. A failure or breach at a dominant supplier can simultaneously affect dozens of institutions. And models trained on similar data risk producing crowd behavior, where several banks make the same decisions at the same time, amplifying volatility instead of reducing it.
The ECB explicitly mentions the weakness in robustness of certain models and the associated cyber risks. This diagnosis contrasts with the dominant narrative of AI as merely a tool for productivity gains in financial management.
What this changes for data governance
Financial sector companies can no longer simply adopt an AI tool and measure its return on investment. They must document:
- The source and diversity of training data used by each model, to assess potential biases
- The degree of dependence on a single supplier, identifying critical technological components with no immediate alternative
- The human oversight protocols planned for each high-risk use case classified by the AI Act
Regulatory compliance becomes a structural cost item for financial services, comparable to what Basel III prudential standards represented for capital.
Sustainable finance and markets: beyond statements of intent
ESG criteria remain a central topic in 2024, but the market is evolving towards a demand for measurability. Institutional investors are no longer satisfied with self-proclaimed labels. European regulators are tightening the definitions of what constitutes a sustainable investment, with more precise taxonomies.
The underlying trend concerns not only labeled funds. It affects corporate cash management, the conditions for granting bank credit, and the risk assessment criteria in bond portfolios. ESG criteria now influence the cost of capital, not just brand image.
On the other hand, the tokenization of assets, often presented as a major trend, remains confined to modest volumes in European markets. The gap between promotional discourse and actual adoption by financial institutions remains significant.
Interest rates and banking repositioning in 2024
The high-interest rate context inherited from 2023 continues to shape financial decisions in 2024. European banks have seen their interest margins increase, but the demand for mortgage credit remains under pressure. The market is observing signs of stabilization, with some institutions initiating downward adjustments of their rates.
This context redistributes the cards among savings products. Regulated savings accounts capture a significant share of inflows, forcing insurers to revalue euro funds to maintain the attractiveness of life insurance.
- Banks are balancing between credit volume and profitability per transaction, with divergent strategies depending on the networks
- Managing excess liquidity is becoming a strategic issue for major European banking groups
- Neobanks and mobile banks are experiencing closures or repositioning, signaling market consolidation
The interest rate cycle determines the hierarchy of financial products far more than short-term technological innovations. The regulatory data published in 2024 by the ECB, the Basel Committee, and the European Commission outlines a financial sector where technological governance weighs as much as commercial performance. The dominant trend is not the adoption of AI, but the framing of that adoption.
