Insurers Rapidly Adopt Generative AI Despite Potential Risks

Insurers globally are racing to adopt generative AI, but they must address a disconnect between their priorities and customer expectations for use of AI, an IBM report concludes.
By: | October 17, 2024
AI in insurance

Despite potential risks, insurance industry executives are racing to adopt generative AI (GenAI) to stay competitive, with investments expected to surge over 300% from 2023 to 2025, according to a survey by the IBM Institute for Business Value.

However, the study also revealed a significant disconnect between insurers’ and customers’ expectations and trust in the technology, highlighting the need for careful strategy evaluation and responsible AI practices. IBM surveyed 1,000 insurance C-suite executives in 23 countries and 4,700 insurance customers in nine countries.

“The insurance industry has made headway in generative AI with customer experience and chatbot enhancements, but insurers must focus on adopting comprehensive governance frameworks that ensure transparency, privacy, and explainability to ensure they are building trusted AI assistants and reliable processes,” said Mark McLaughlin, director of global insurance with IBM Technology.

“There are also significant opportunities in connecting customers to the right products. Leveraging AI across the enterprise will be critical to improve both customer risk experiences and to implement the underlying IT tools that power those experiences,” he continued.

The survey found that 77% of insurance industry executives said they need to adopt GenAI quickly to avoid falling behind rivals. As a result, investments in GenAI are expected to surge by over 300% from 2023 to 2025 as insurers move from pilots to implementations across more business functions.

Early adopters are already seeing benefits in key customer satisfaction metrics compared to insurers not using GenAI, according to IBM.

Those using it significantly in customer-facing systems report a 14% higher retention rate and a 48% higher Net Promoter Score, the survey found. Insurers leveraging GenAI across direct, agent and bank assurance sales channels are seeing significant improvement in sales, customer experiences and customer acquisition costs, the survey found.

For example, 22% of insurers in direct and agent channels reported large or very large improvements in sales, while 29% reported similar gains in customer experience due to GenAI.

Disconnect Between Insurer and Customer Expectations

However, the IBM survey also revealed significant disconnects between insurers and customers regarding GenAI expectations and concerns. For example, insurers are focused on using generative AI to improve customer service, but customers prioritize getting the right personalized products.

While 66% of insurance executives report progress on AI assistants and 65% on augmented customer service, only 29% of customers are comfortable with GenAI virtual agents providing customer service, and just 23% with them providing insurance advice.

The disconnect extends to trust in the technology. Only 26% of customers trust the reliability and accuracy of advice from generative AI. Customers are concerned about privacy, data security, potential scams, and inaccurate responses without sufficient oversight. Insurers, on the other hand, believe that AI ethics policies are sufficient to address these concerns.

“Customers want ethical actions, not ethical statements,” the report states.

While insurers and customers agree on the importance of using generative AI to deliver personalized pricing or promotions, many insurers haven’t yet translated that view into action. Marketing is in the lower third of AI use cases they are implementing or running. Insurance executives see personalization as a service issue, but customers are looking for more fundamental changes.

Opportunities for Insurers to Differentiate

While insurers and customers may not always see eye-to-eye on the priorities for generative AI, the technology presents significant opportunities for savvy insurers to jump ahead of competitors, IBM contends. One key area is using GenAI to develop new types of tailored products and bring them to market faster in a more targeted way.

Leading digital product organizations are already leveraging AI to research consumer and user needs, understand product usage, and synthesize customer feedback. For insurers, this translates into delivering not just personalization, but an actual match between customers, their risks, and the insurer’s products. Executives anticipate this AI-powered approach will accelerate product creation in 2025, reducing time to market by 3.6 months and increasing the number of new products launched by 50%.

However, in pursuing these AI-driven innovations, insurers cannot lose sight of the importance of building and maintaining customer trust. In fact, 77% of insurance CEOs said establishing customer trust will have a greater impact on their organization’s success than any specific product or service. This is especially critical given that consumer trust in the insurance industry is already shaky, with trust scores declining 25% since pre-COVID-19.

View the full report here. &

The R&I Editorial Team can be reached at [email protected].

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