INSURANCE: AI Adoption is Real, But Caution is Still Doing a Lot of Work
Insurance is moving on AI. Just not in the breathless way some of the market commentaries suggest.
European insurers are moving on AI, just not recklessly. EIOPA’s February 2026 survey says nearly two-thirds of European insurers are already actively using generative AI. But most remain at proof-of-concept stage, which suggests a controlled rollout rather than wholesale operational dependence.
That feels important.
Adoption is moving, but governance is trying to keep pace.
That caution sits against a wider supervisory backdrop. EIOPA’s 2026 programme includes work on data reporting efficiency, innovation and ongoing implementation of cross-sector legislation. At the same time, EIOPA has an open 2026 consultation on supervision linked to private equity exposure in insurance undertakings, which is another reminder that innovation is being watched through a prudential and governance lens as well as a growth lens.
For Tungsten, the point is not simply that insurers want AI. It is that they need AI to operate inside workflows that remain explainable, reviewable and evidence-rich. Claims, servicing, underwriting support and fraud all fit that pattern.
The stronger story is AI + orchestration + human oversight, not AI replacing judgement outright.
Where can we lead with AI-enabled workflow in insurance without sounding like we are trying to replace judgement?
FAQ
How are European insurers adopting generative AI?
European insurers are actively adopting generative AI, but many initiatives remain at the proof-of-concept stage, reflecting a controlled approach to implementation.
Why is governance important for AI in insurance?
Insurance workflows involve regulated processes and consequential decisions, making explainability, reviewability and evidence important as AI adoption expands.
Where can AI-enabled workflows support insurers?
AI-enabled workflows can support areas such as claims, servicing, underwriting support and fraud, while keeping appropriate governance and human oversight in place.
Does AI automation mean replacing human judgement in insurance?
No. The stronger approach combines AI, workflow orchestration and human oversight, using AI to support processes without removing human judgement where it matters.
Glossary
| Term |
Definition |
| Generative AI |
AI technology used to generate or interpret content and support tasks within enterprise workflows. |
| AI governance |
The controls and oversight used to keep AI-supported processes explainable, reviewable and appropriately governed. |
| Workflow orchestration |
The coordination of tasks, systems and decision points across a business process. |
| Human oversight |
Human review or judgement retained at appropriate points within an AI-enabled workflow. |