Insurance Faces Same AI Skills Gap as Broader Finance Sector
Insurance companies are struggling to hire and develop talent in line with wider finance industry trends, held back by economic caution and unclear skill requirements for an AI-enabled workforce.
Only 9% of finance and accounting leaders say they currently have the headcount and skills needed to deliver priority projects this year, according to Robert Half research. Fifty-four percent plan to upskill existing employees instead of hiring new staff.
The insurance sector mirrors this pattern. While demand for specialist skills remains high, most firms are hesitating to expand headcount due to macroeconomic uncertainty and cost pressures, said Cal Jungwirth, director of permanent placement services in finance and accounting at Robert Half.
Upskilling Becomes Default Strategy
Rather than competing for scarce talent, insurers are prioritizing internal development. Upskilling has become the standard response to capability gaps in finance, operations, and technology-facing roles.
The problem: there is no clear consensus on which skills matter most. AI is frequently cited as a priority, but many organizations are still working through how it applies to day-to-day insurance work.
"There's broad agreement that upskilling is critical, but there's less clarity on which skills to prioritize," Jungwirth said. "AI is a big part of that conversation, but many organizations are still in the early stages of understanding how AI will impact their business and what practical skills employees actually need to develop."
AI adoption remains uneven across carriers. Some firms are experimenting with automation and decision support tools. Others are still focused on data readiness and system integration before they can scale AI use cases.
The Skills Gap Remains Undefined
Unlike previous technology shifts, where skills requirements were relatively well-defined, AI is evolving fast enough that job roles and competencies remain fluid.
This creates a planning dilemma for finance leaders. Training investment risks becoming outdated quickly. Hesitation risks leaving organizations behind as competitors experiment with automation and analytics.
Most insurers are taking a cautious middle path: incremental upskilling, selective hiring, and pilot-based AI adoption rather than wholesale transformation.
A Structural Adjustment, Not Sector Crisis
Insurance is not uniquely disrupted. It is navigating the same challenges as the wider finance and accounting space.
Finance leaders are balancing three competing pressures: maintaining operational efficiency, controlling costs, and building new capabilities for an AI-enabled future. The insurance talent story is more about transition than disruption.
For finance professionals, this means the path forward is still being defined. Learn more about AI for Finance or explore the AI Learning Path for CFOs to understand how to develop the skills your organization will need.
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