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Education & Training

AI in the financial sector: strong adoption, urgent need for structured training

Published on 02 March 2026

A recent article published by the House of Training highlights the results of a survey conducted in December 2025 in partnership with the ABBL, providing valuable insights into how artificial intelligence is currently being used across Luxembourg’s financial sector. The findings reveal a clear paradox: AI adoption is already widespread, yet organisational maturity and structured training remain limited.

Summary

    Widespread use, limited training

    According to the survey, which gathered responses from 147 financial sector professionals:

    • Eight out of ten respondents use AI regularly or occasionally in their work
    • Yet 66% have never received dedicated AI training

    This gap underscores a critical need for structured support, particularly in relation to the business, regulatory and organisational implications of AI deployment.

    The majority of respondents work in Risk, Compliance and Audit (41%), followed by Operations (24%) and IT/Data (16%). Notably, 70% are employed in organisations with fewer than 250 employees and hold middle management or executive roles, offering a strategic perspective on the challenges ahead.

    Organisational maturity still at an early stage

    While experimentation is common, formal strategy remains rare. Only 5% of organisations report having a formalised AI strategy, with most still at an exploratory or pilot phase.

    This reflects a broader trend observed across the sector: AI initiatives often emerge bottom-up, driven by operational efficiency or innovation needs, but require stronger governance frameworks to ensure sustainability and compliance.

    As highlighted in the House of Training article, the priorities identified by respondents are clear:

    • Training teams
    • Structuring AI initiatives
    • Securing responsible and compliant usage

    Short training formats of two to four hours and certification programmes are particularly valued. The content most in demand focuses on responsible and secure AI use, integration into existing processes and governance frameworks. This indicates a pragmatic approach: institutions seek to secure foundations before accelerating deployment.

    A strategic transformation lever

    For the ABBL, these findings resonate strongly with ongoing discussions within the sector. Artificial intelligence is not merely a technological tool; it is a lever for organisational transformation.

    Its deployment affects governance structures, risk management, operational processes and talent development. In a highly regulated environment, continuous training is therefore essential to ensure that AI contributes to sustainable value creation while remaining compliant with evolving regulatory frameworks.

    The ABBL continues to support initiatives that strengthen skills, promote responsible innovation and foster dialogue across the ecosystem.

    The original article, “Let’s build tomorrow’s AI training programmes together”, is available on the House of Training website here.