Sixfold Survey: 72% of P&C Underwriters Say AI Strategy Drives Employer Choice
Sixfold, an AI underwriting platform provider for property/casualty and life/health carriers, published its 2026 AI Research Report on the future of underwriting in early July. The study behind it is a double-blind survey of 543 underwriting professionals, 270 executives and 273 underwriters across the United States and Europe, commissioned by Sixfold, run by an outside research company, and fielded in the first quarter of 2026. Its headline finding: 72% of underwriters said a company’s AI capabilities would factor into a career move.
Seventy-seven percent of executives are worried about losing underwriters to competitors with stronger AI capabilities. The same executives report the tooling is working: 92% say AI produced sharper, more consistent underwriting decisions and 85% say their teams can take on more submissions than before. Carrier Management’s account of the study adds figures Sixfold’s own summary page leaves out, including 69% of underwriters saying their employer’s approach to AI makes them more likely to stay and 94% agreeing AI has made their teams faster, better, or both. Every figure here carries a five-point margin of error at 95% confidence, which is wide enough to swallow the distance between several of them.
The vendor’s interest in the outcome is transparent: a market where underwriters demand AI tools is a market where Sixfold sells more platforms. That does not make the data wrong, but the sampling frame matters. Sixfold says respondents were randomly sampled and paid for their time; Carrier Management reports the survey takers went to companies already using or piloting AI. Those are two different populations, and the second one is not the full market.
Read that way, a weak AI program shows up in a U.S. P/C carrier’s recruiting and attrition metrics well before it shows up in loss ratios. Retention is where the cost lands first, and HR is where the documentation gap gets noticed. Underwriters ask about the AI program in interviews now; the teams that cannot answer hear the question again in exit interviews.
Our guide to implementing an AI governance framework works through who owns which piece. The short version is the one to write before the next recruiting cycle. Three lines. What the tools decide, what a human still signs, who to escalate to when the model is wrong.