AI & Machine Learning

Property and casualty insurers that analyze testimony at scale will price risk more accurately than competitors relying on instinct alone.

Prior authorization’s new reality: AI does the evidence work, a clinician owns the call, especially for denials.

Insurance agencies investing in AI are seeing productivity gains but not yet revenue lifts—a predictable adoption phase, not a failure.

MGAs have grown to $114 billion in premium but lack time and capital to build AI infrastructure themselves.

AI pilots often succeed technically but fail commercially because companies neglect to fund and staff the business case alongside the proof of concept.

Explosive growth of AI-driven hyperscale data centers is forcing insurers to innovate underwriting for unprecedented exposures and capacity demands.

There is a question about AI no one is asking out loud: Are the efficiencies worth more as a cost saving, or as time freed up for other work? 

Insurers risk inadvertently transferring proprietary expertise to AI systems through everyday use, creating a vulnerability beyond traditional cybersecurity concerns.