Impact of AI on jobs: Banking, Insurance & Finance

19 jobs analyzed

Domain positioning vs AI

Low Exposure
22
AI alone
38
Augmentation

Occupations breakdown (19)

High Automation · 1In Transformation · 1Augmented · 6Low Exposure · 11

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The Banque, Assurance & Finance sector is among the least exposed to artificial intelligence. With an average exposure score of 29/100, this sector maintains a strong human component that current technologies struggle to replicate. This does not mean AI will have no impact, but rather that transformations will be gradual and more oriented towards augmenting capabilities rather than substitution.

Of the 19 occupations analysed in this sector, 0% show high exposure (score above 60), 42% moderate exposure (between 30 and 60), and 58% low exposure (below 30). This distribution reveals significant diversity within the sector itself, with very different realities depending on specialisation areas.

The most exposed occupation is "Analyste de crédits et risques bancaires" with a score of 41/100, indicating that many tasks in this role could be automated or heavily assisted by AI. Conversely, "Mandataire en assurance" has a score of 17/100, confirming the need for irreducible human expertise in this type of role. The most impacted sub-domains are Marches financiers, Administration bancaire & assurance, Immobilier & gestion de patrimoine. The least exposed include Assurances, Banque & services bancaires, Marches financiers.

Over the next 3 to 5 years, this sector should experience gradual evolution. AI will primarily support professionals with administrative and planning tasks, without fundamentally changing the nature of occupations. Human skills such as physical work, interpersonal relationships, and field expertise will remain essential. Keeping up with technological developments is still recommended to stay competitive.

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Exposure by domain

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