Insurers must choose between competing on scale and cost or deep specialization, while building technology, data, and operating capabilities to respond at technology speed; delays could widen the competitive gap.

AI is poised to reshape the economics of the global insurance industry, with early adopters gaining a competitive edge in underwriting, distribution, productivity, and the pace of innovation.

AI could expand insurers into new risk pools and improve underwriting and claims accuracy, enabling continuous, data-driven risk management and new areas such as AI liability, AI-augmented workforce transitions, and nonphysical business interruption.

Distribution could shift toward AI assistants, platforms, or ecosystems that compare coverage and influence purchase decisions, potentially becoming the primary entry point to insurance instead of traditional agents or insurer websites.

New market opportunities like parametric products, embedded micro-coverage, and on-demand policies could unlock previously uneconomical segments and broaden the insurance market.

The report highlights the potential financial impact of rapid AI adoption and the need for experimentation, learning, and scaling to gain a structural advantage.

Despite premium growth, profitability has lagged; AI has the potential to reduce onboarding costs and boost agent productivity, addressing historically rising cost ratios.