What AI adoption means for insurance hiring in 2026
For the past two years, "AI in insurance" has mostly been a conversation about proofs of concept and pilot schemes. Heading into 2026, that has changed. The carriers, brokers and MGAs we work with are moving tools into production — and that shift is now visible in the roles they ask us to fill.
Here is what we are seeing, and what hiring managers should do about it.
The technical roles are being redefined, not replaced
The most persistent myth is that AI will thin out underwriting, claims and actuarial teams. In practice, we are seeing the opposite at the mid and senior level. Demand for judgement has gone up, not down.
What is changing is the shape of the work. Underwriters are spending less time gathering and rekeying data, and more time interrogating what a model recommends — and knowing when to overrule it. Claims handlers are managing exceptions and complex, high-value cases while automation clears the routine volume. Actuaries are increasingly expected to explain model behaviour to regulators and boards, not just build it.
The candidates who thrive are the ones who can sit comfortably between the domain and the tooling. That combination is scarce, and it commands a premium.
The hybrid skillset is now the differentiator
We used to see a clean split: technical specialists on one side, insurance practitioners on the other. Employers now want both in one person, or at least genuine fluency across the line.
In practice, that means:
- Underwriters and pricing analysts who can work with data science teams, read model outputs critically, and articulate the limits of a recommendation.
- Data scientists and ML engineers who understand insurance economics — loss ratios, reserving, regulatory capital — rather than treating it as a generic dataset.
- Governance and model-risk professionals, a genuine growth area, where regulatory scrutiny of AI decisioning is creating roles that barely existed 18 months ago.
- Change and transformation leads who have actually delivered AI into a live insurance environment, not just managed a technology rollout.
We would caution against over-indexing on buzzwords. A candidate who has quietly integrated a model into a working underwriting process is worth more than one with a longer list of tools on their CV.
What this means for compensation and competition
Where supply is tightest — model risk, AI-literate pricing, transformation leadership — we are seeing offers move quickly and counter-offers become the norm. Good candidates in these areas are typically running more than one process at once.
The practical consequence is that slow, multi-stage hiring processes are losing offers. We regularly see strong candidates accept elsewhere before a fourth-round interview is even scheduled.
What hiring managers should do now
Write for the role you actually need. Vague "AI experience preferred" lines attract volume, not fit. Be specific about the problem the person will own.
Value adaptability over a fixed toolset. The tools will change again within 18 months. Hire people who learn fast and understand the business.
Invest in your existing teams. Some of the best hybrid talent is built, not bought. Upskilling an experienced underwriter or actuary is often faster and more reliable than searching for a rare external unicorn.
Tighten your process. Fewer stages, clearer decision-makers, faster feedback. In this market, speed is a competitive advantage in its own right.
Don't neglect the fundamentals. Technical accuracy, regulatory awareness and sound judgement still matter most. AI raises the baseline; it does not remove the need for people who understand risk.
The bigger picture
2026 will not be the year AI replaces insurance professionals. It will be the year the market clearly rewards those who can work alongside it — and penalises employers who are slow to recognise that.
Talk to us
We are having these conversations daily with hiring managers and candidates across our insurance, technology and change practices. If you are building a team for this environment — or thinking about your own next move — get in touch with the Eames team. We would be glad to help.