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IndustriesInsuranceRegulatedPublished 2026-10-06

Insurance: public support for AI nearly doubled in a year, but using AI can still cost policies

39% of consumers think it is a good idea for their insurer to use AI to improve services, up from 20% — yet 36% are still less likely to buy from an insurer that publicly uses AI.

Key numbers

  • Survey scope: Insurity's 2026 AI in Insurance Report finds 84% of US consumers use AI tools at least occasionally and 27% use them daily.
  • Attitude shift: 39% say it is a good idea for their insurance company to use AI to improve services, nearly double the 20% in 2025.
  • Resistance easing but present: the share who say they are less likely to purchase from an insurer that publicly uses AI fell from 44% to 36%.
  • Context: AI is already embedded in writing, workplace productivity, health inquiries and financial comparisons, so consumers treat it as part of everyday decisions rather than experimental technology.

Method and sample

Findings from the 2026 AI in Insurance Report published by Insurity, a cloud software and analytics provider for property and casualty insurers; the data is self-reported consumer survey material covering AI usage frequency and attitudes toward AI in insurance.

What it means for brands

Insurance is heavily mediated by AI: customers compare terms, estimate premiums and judge claims expectations with it. How an insurer is described by AI — coverage, claims conditions, exclusions — directly shapes trust and conversion, while tolerance for AI adoption itself is rising fast.

How SourceSight handles it

For insurance projects SourceSight builds prompts from customer questions (pricing, what is covered, how hard are claims, risks, credentials and compliance) and reports mentions and position per engine, while the content factory structures coverage and claims terms to leave less room for invention.

Limits

The survey comes from an insurance software vendor and carries that commercial interest; the sample is US consumers, and attitude questions are sensitive to wording, so results are not the same as purchase behaviour.

References

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