Insurance risk modelling is highly exposed because it is fundamentally a statistical and data-driven exercise. AI already outperforms humans in large-scale data modelling, predictive analytics, and scenario simulations. Human consultants remain necessary for regulatory compliance, model validation, and contextualising outputs for business decision-makers.
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Insurance Risk Modelling scores 67, a high disruption risk. AI dominates the statistical modelling and predictive analytics, while consultants remain needed for regulatory compliance, validation, and executive communication. Significant opportunities remain to leverage AI for innovation and differentiation within this category.
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