AI conversations dominate current insurance industry discourse. The conversation includes both real value and considerable marketing. Understanding which applications actually deliver shapes whether investments pay off. Underwriting tools have evolved meaningfully. Predictable underwriting cases following established patterns are increasingly handled through automated workflows. The case for this category is substantive. Faster decisions, more consistent treatment of similar risks, freed underwriter time for complex cases represent achievable outcomes. Claims technology has progressed substantially. Document intake, initial verification, fraud signal detection deliver meaningful improvement through process digitalisation. Customer-facing claims interactions also benefit as digital channels mature. Pricing model sophistication has advanced through analytical capability. Increased data sophistication, relais international overview better mathematical approaches, more tailored pricing drive both competitive advantage and fairer outcomes. Several frequently discussed applications have not yet proven their value at scale. End-to-end claims handling without human touch frequently underperforms initial promises. This distinction tracks reliably. AI works when it augments rather than replaces human judgement. Better-performing initiatives understand where AI helps and where it disappoints.