AI & Machine Learning

AI liability insurance is emerging through scattered approaches, but the lack of independent model evaluation means underwriters are pricing uncertainty instead of risk.

Enterprise AI adoption will shift from grassroots experimentation to top-down mandates as investors demand returns on trillion-dollar infrastructure bets.

AI can provide a huge boost to insurance agents on account planning, product and service knowledge, and sales skill.

Claudeforce signals a shift from building tools for humans to use and toward creating infrastructure where machines increasingly do the work.

As AI scales, insurers relying on sampling to audit AI decisions may be kidding themselves.

The key foundation for AI implementation is not the model. It is the data the model relies on.

Underwriting AI systems are designed to assist rather than replace human judgment, but this efficiency trade-off may eliminate how juniors become experts.

Auto and trucking litigation now drives 33% of carrier spending as nuclear verdicts climb, demanding proactive management over reactive response.