AI drives insurance modernization despite deployment bottlenecks

The insurance industry is undergoing a digital transformation as companies adopt artificial intelligence, cloud computing, and big data to replace legacy systems and manual processes. While AI accelerates the development of pricing models and analytical recommendations, a significant bottleneck exists in the deployment phase.

According to Earnix, there is often a substantial gap between the technical validation of a model and its actual application to policyholders. This delay, caused by IT integration, regulatory approval, and governance requirements, can result in models being applied months after they were validated, potentially missing shifts in market conditions or customer behavior.

To remain competitive against digital-native InsurTech startups, traditional insurers are moving toward platform ecosystems. These digital marketplaces allow for more accurate risk assessment through real-time data—such as telematics or wearable devices—and enable new revenue streams like usage-based insurance.