AI & Machine Learning

Trust, not technology, blocks AI adoption as insurance underwriters hesitate to rely on automated scoring and claims managers are reluctant to influence decisions.

Insurance enters the Agentic Age as autonomous AI systems redefine industry speed, precision, and competitive economics.

Despite $30 billion to $40 billion in AI investment, 95% of organizations achieve zero return, MIT study finds.

As AI liability lawsuits multiply and regulations evolve, captives offer businesses flexible coverage for emerging risks.

Overcoming AI skepticism in insurance requires positioning technology as supportive copilot rather than human replacement.

Half of insurance consumers welcome AI suggestions for their plans but expect measurable improvements first.

Vertical AI agents with orchestrator-worker patterns are transforming complex insurance workflows, moving beyond traditional RPA limitations.

Insurance carriers race toward AI adoption, but fragmented legacy systems may sabotage their automation ambitions.