AI & Machine Learning

Insurers direct 72% of AI spending to technology and just 28% to change management, creating a critical architecture mismatch.

Generic AI safety tools can't address insurance's unique risks; specialized guardrails are essential for responsible deployment.

Insurance agencies underestimate Gen X customers, who demonstrate higher comfort with AI assistants than any other age group does.

Insurance AI scales when it defers to human expertise and flags uncertainty, not when it claims to automate everything.

The problem is not that insurance organizations' data is bad. The problem is that it was shaped for humans, not AI.

Insurance carriers and the plaintiff bar are waging an AI arms race reshaping litigation economics.

AI accelerates insurance workflows, but brokers remain essential as the translation layer between messy reality and carrier underwriting.

Commercial insurance clients now expect agents to articulate how AI strengthens account management, moving expectations beyond traditional placement.