General Insurance Article - Lack of expertise main barrier to AI adoption in insurance

 The poll, conducted by GlobalData on Verdict Media platforms, gathered responses from over 120 industry insiders. Results indicate that 24.4% of the respondents identified a lack of internal expertise as the primary barrier to AI adoption. Other key concerns include a lack of understanding among customers (21.3%), scepticism about AI’s readiness for widespread use (17.3%), and a lack of customer trust (13.4%).

 To address these challenges, insurers are encouraged to invest in AI education and training programs for their workforce. Upskilling existing employees through specialized courses in AI, data analytics, and machine learning can help bridge the knowledge gap.

 Collaborating with universities and technology providers to develop tailored training programs will also ensure employees gain both theoretical knowledge and hands-on experience in AI applications.

 Charlie Hutcherson, Associate Insurance Analyst at GlobalData, comments: "The insurance industry recognizes AI’s potential, but the lack of in-house expertise remains a significant hurdle. Without the right talent, insurers will struggle to implement AI-driven solutions effectively. Companies that prioritize AI training and talent acquisition will gain a competitive edge as AI adoption continues to grow. Additionally, educating customers on AI’s benefits and ensuring transparency in AI-driven decisions will be key to overcoming trust issues. Ultimately, insurers that address these challenges through a combination of workforce development, customer education, and strategic partnerships will be best positioned to unlock AI’s full potential. As AI becomes more integral to claims processing, risk assessment, and fraud detection, companies that invest in expertise now will see long-term gains in efficiency, accuracy, and customer experience."