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Insurance industry accelerates AI talent acquisition, focusing on ROI and role transformation
Leadership

Insurance industry accelerates AI talent acquisition, focusing on ROI and role transformation

The second annual Insurance AI Index report by industry research firm Evident Insights shows that insurers have greater confidence in AI applications, with talent recruitment becoming key. As projects transition from large-scale data pipeline construction to AI integration and optimization across individual business lines, insurers are increasingly favoring external hiring over internal development. The report notes that claims management, underwriting, pricing, and customer interaction are the primary use cases, but the real strategic test lies in whether AI can help insurers optimize risk selection, precise pricing, and capital allocation.

AI Investment Takes Center Stage as CIO Role Continues to Evolve
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AI Investment Takes Center Stage as CIO Role Continues to Evolve

The latest CIO 2026 Outlook report from technology talent services company Experis reveals that the focus of the CIO role has shifted from cybersecurity in 2025 to aligning IT strategy with business goals. Regarding returns on AI investment, over half of respondents report positive returns, but nearly one-third believe companies are over-investing. The report also notes that CIOs face dual pressures from talent shortages and the pace of change.

Survey: Knowledge Workers Spend More Time Managing AI Than Producing Output
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Survey: Knowledge Workers Spend More Time Managing AI Than Producing Output

A survey of 6,000 digital workers by Glean's Work AI Institute found that three-quarters of knowledge workers believe AI boosts personal productivity, but only 13% say technology has significantly improved company performance. Automation saves an average of about 11 hours per week, but employees spend slightly more than half of that interaction time managing tools rather than producing output. The report notes that successful enterprise AI adoption relies on a 'human infrastructure' built around AI, including context implementation, use-case training, shadow AI signal identification, and governance mechanisms.