Life, annuities, and group benefits carriers moved AI from pilot to production fast. 73% run AI in production today, up from 37% in 2025. But the challenge has shifted from experimentation to execution: only 7% have scaled AI enterprise wide, and talent gaps have doubled, now cited by 40% of carriers, up from 24% in 2025.
This report sorts carriers into four stages of AI maturity – Exploring, Ready to Scale, Hitting Walls, and Compounding – built on deployment maturity and data readiness. Most sit in Hitting Walls: production AI capped by legacy integration and persistent talent scarcity. Most carriers still can’t prove AI is paying off – only 33% report positive ROI.
The report shows where returns are real, why investment concentrates in low-risk use cases like summarization, and the three moves that separate carriers building lasting advantage from the majority still expecting an edge they haven’t earned.
Clients of Datos Life, Annuities & Benefits practice can download this report.
About the Author
Jack Krantz
Jack Krantz is an Advisor at Datos Insights. His expertise includes applications of numerical modeling, machine learning, and artificial intelligence as well as earth and atmospheric sciences. In his five years with Datos, he has been involved in delivery of numerous consulting projects including vendor selections, IT strategies, data strategies, competitive benchmarking, and project assurance engagements. Jack additionally serves as...