Businesses Want to Insure Against AI Risks as Adoption Soars

Geneva Association survey reveals over 90% of companies seek coverage for generative AI exposures, with majority willing to pay premium increases.
By: | October 14, 2025
Ai adoption

More than 90% of businesses want insurance protection against generative AI risks, with over two-thirds willing to pay at least 10% higher premiums for such coverage, according to a Geneva Association survey of 600 corporate insurance decision-makers from across the world.

“Generative AI amplifies some existing risks and creates entirely new categories of exposure that extend beyond traditional insurance boundaries,” said Ruo (Alex) Jia, director of digital technologies at the Geneva Association and lead author of the report. “Our survey shows strong demand for risk transfer solutions, especially from firms that have already experienced severe Gen AI failures, but it also highlights insurability challenges. The task for insurers now is to define clear risk boundaries and pilot modular coverage models that can adapt to this evolving technology.”

Adoption Accelerates Despite Regional Differences

The rapid uptake of generative AI tools since late 2022 has created a patchwork of adoption patterns across global markets, the research found. U.S. and Chinese companies report the highest levels of implementation and perceived value, with 68% of U.S. businesses and 66% of Chinese firms rating generative AI as “very useful.” These markets also demonstrated the strongest appetite for insurance solutions, the report said.

Other global markets tell a different story. Japanese companies show the most skepticism, with only 18% finding significant value in Gen AI applications. German and French businesses face unique hurdles, with roughly 40% citing internal resistance from employees and customers as their primary implementation barrier.

The technology sector leads demand for AI insurance coverage, followed by finance and manufacturing. Medium-sized (51 to 250 employees) to large (251 to 1,000) enterprises show notably stronger interest than smaller firms, with over 70% of companies with more than 50 employees willing to pay increased premiums compared to less than 40% of smaller businesses.

Implementation Challenges Create Insurance Opportunities

As companies integrate Gen AI into everything from internal reporting to customer-facing applications, they encounter significant operational risks. The shortage of qualified AI professionals affects 36.5% of businesses globally, while data quality and accessibility issues impact another 34.2%.

These implementation challenges translate directly into insurance needs, according to the Geneva Association. Cybersecurity emerges as the dominant concern, with more than half of respondents prioritizing protection against AI-driven cyberattacks and data breaches. Liability exposures to customers and suppliers rank as the second-highest priority, followed by general operational risks.

The technology’s unpredictability compounds these concerns. Companies report frequent issues with inaccurate or misleading AI outputs (34.7% overall, rising to 58% in Japan), system integration difficulties (29.8%), and inconsistent responses (28.7%). These failures create unprecedented risk scenarios that traditional insurance policies may not adequately address, the report noted.

Insurers Respond with Hybrid Approach

The insurance industry faces both opportunity and challenge in addressing this demand, the report said. Early market responses include extending existing cyber and professional liability policies to explicitly cover AI-related perils, often through endorsements with specific sublimits. Some carriers experiment with parametric triggers that pay predetermined amounts when specific AI failure events occur, simplifying claims processes in an uncertain environment.

A small number of insurers have launched standalone AI insurance products that bundle multiple risk coverages, though these remain in pilot phases. The approach mirrors the evolution of cyber insurance two decades ago, starting with careful limitations and higher premiums while gathering loss data.

For insurers to capitalize on this demand, the Geneva Association recommended three key strategies: proactive product development through controlled pilot programs, collaboration with AI developers and regulators to establish governance standards, and integration of risk mitigation services such as AI audits and bias testing requirements.

“Few technologies in history have spread as rapidly as Gen AI, yet its risks are complex and poorly understood,” said Jad Ariss, managing director of the Geneva Association. “Insurers have a unique role to play in ensuring that Gen AI adoption is safe and sustainable. The findings also underline the urgency for insurers, regulators, and technology providers to work together in developing frameworks that can safeguard businesses while enabling innovation to flourish across economies.”

Obtain the full report here. &

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

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