Life and Health Insurers Trail on AI Adoption, not Conviction

Life and health underwriting teams are slower to put artificial intelligence into daily use than their property and casualty counterparts, yet a new survey suggests conviction is running well ahead of rollout. AI underwriting firm Sixfold reports that 45% of life and health organisations use AI regularly today, against 60% across insurance underwriting as a whole, while every leader and every underwriter who has adopted it says it has made them faster, better, or both.

The finding comes from the life and health cut of a broader study Sixfold commissioned and fielded independently in May 2026. The full survey covered 543 underwriting professionals across the United States and Europe; the life and health report isolates 251 respondents, split between 120 underwriting leaders and 131 underwriters. All respondents were already using or piloting AI in their underwriting workflows, and the sample carries a margin of error of plus or minus six percentage points at a 95% confidence level.

What does the adoption gap actually look like?

The 15-point spread between life and health and the wider market is the headline number, but it sits inside a longer pattern. Life and health underwriting depends on unstructured clinical evidence, medical records, physician statements and lab results, that is harder to standardise than the structured commercial data behind much of property and casualty. That complexity has historically slowed automation in the segment.

Independent data points to the same lag. Pacific Life's 2026 Underwriting Outlook Survey, conducted separately among more than 100 life insurance executives, found that roughly 45% had integrated AI into day-to-day work or were using it as a decision-support tool, with a further 38% still in pilot mode. The two studies use different samples and methods, but they converge on the same reading: adoption in life and health is real, uneven, and earlier-stage than the surrounding market.

Why is confidence so high where AI has landed?

Among executives whose teams have deployed AI, the optimism figures are near-universal. In the life and health segment, 97% of executives and 86% of underwriters say AI has made them more excited about the industry's future. Where the technology is in production, agreement is complete: every leader and every underwriter reports being faster, better, or both.

That unanimity is worth reading carefully. The sample is drawn entirely from people already using or piloting AI, so the results describe the experience of adopters rather than the industry at large. Within that group, 90% of leaders and 79% of underwriters say AI is improving the quality of underwriting decisions, and 85% of underwriters say they feel prepared for where the profession is headed. Ninety-three per cent would recommend underwriting as a career to someone starting out today.

The optimism tracks closely with the broader study Sixfold published in July, which reported 99% of all underwriting executives more excited about the industry's future. The life and health figure of 97% sits marginally below that cross-segment number, a small distinction but one that reflects the segment's earlier position on the adoption curve.

Is AI becoming a hiring and retention lever?

One of the more consequential findings for insurers concerns talent. In the life and health segment, 86% of underwriters say an employer's approach to AI would matter when they consider a new role, and 70% say their current organisation's AI strategy has made them more likely to stay. On the other side of the table, 63% of leaders say they are concerned about losing underwriters to competitors with stronger AI tools or strategies.

That maps onto a documented structural pressure. The life insurance workforce is ageing, with a well-established shortage of new underwriters entering the profession as experienced staff retire. Pacific Life's separate survey found more than two-thirds of leaders worried about workforce succession and skills gaps. Against that backdrop, AI capability is shifting from an operational question to a recruitment and retention one, and the Sixfold data suggests underwriters are already factoring it into career decisions.

Where do leaders and underwriters disagree?

The research surfaces a split on what is holding adoption back, and the two groups do not see the same obstacle. Seventy-two per cent of leaders cite systems and data quality as their biggest barrier, a larger share than elsewhere in the study, reflecting the fragmented legacy platforms and unstructured medical data that characterise life and health. Underwriters point somewhere else entirely: 43% name technology that does not fit how they actually work as their primary obstacle.

That gap matters for how insurers prioritise. A leadership focused on data infrastructure and a front line frustrated by tools that cut across their workflow are describing two different failure modes. Closing one does not automatically close the other, and vendors selling into the segment will be judged on both.

What are the reported performance gains?

Sixfold cites customer-reported outcomes including a 50% reduction in underwriter review time, new underwriters reaching full caseload 45% faster, and a 30% increase in gross written premium per underwriter. These are company-supplied figures rather than independently audited results, and Sixfold has not published sample sizes or measurement periods for them. They are consistent with productivity claims made elsewhere in the AI underwriting category, but readers should treat them as vendor benchmarks rather than verified sector averages.

Sixfold works with life and health and property and casualty carriers, managing general agents and reinsurers across North America, South America, Europe and Australia. Its named customers in the segment include Guardian and New York Life.

Why this matters to FinanceX readers

The investable signal here is not the optimism number, which is drawn from adopters and skews high by construction. It is the adoption gap set against the conviction gap. Life and health is roughly 15 points behind the wider market on regular AI use, yet the people already using the technology report uniformly positive results and are beginning to move employers over it.

For carriers, that combination points to a closing window: the productivity leverage, faster case throughput, quicker ramp for new hires, higher premium per underwriter, is available now, and the talent that delivers it is increasingly mobile. For investors tracking listed life carriers and private insurtech, the question shifts from whether AI works at the underwriting layer to which balance sheets convert an early lead into durable underwriting capacity before the gap closes on its own.