A recent survey by The Insurance Information Institute (Triple-I) and Munich Re identifies cyber incidents, artificial intelligence, and economic pressures as the top risks facing the insurance sector. The RiskScan 2026 report, based on responses from over 1,700 consumers, business owners, and property and casualty professionals, underscores how these compounding factors threaten market stability and claims affordability.
Interconnected market threats
The study highlights that modern risk profiles extend far beyond isolated events. Michel Léonard, chief economist and data scientist at Triple-I, said, "Today's risk environment is being shaped not only by catastrophe and cyber exposures, but also by the interaction between economic inflation, geopolitical uncertainty, supply chain pressures and rising legal costs." RTi Research conducted the online survey, capturing perspectives across the entire property and casualty value chain.
Economic conditions multiply risk
Inflation and economic decline remain primary concerns for respondents, directly impacting how carriers price and manage policies. Léonard said, "The data shows economic conditions are increasingly acting as a multiplier of insurance risk, affecting affordability, claims severity, capital allocation and long-term market stability across the insurance value chain." Insurers evaluating AI for Insurance can use these insights to refine risk assessment models and better anticipate how macroeconomic shifts drive claim severity.
Closing protection gaps
As specific threats accelerate, the industry faces pressure to adapt its preventive strategies. Sean Kevelighan, CEO of Triple-I, said, "As flood, cyber and other interconnected exposures continue to evolve, the industry has an important opportunity to strengthen public understanding, close protection gaps, and work collaboratively with consumers, policymakers, businesses, and communities to better predict, prepare and prevent ever-increasing risks." Because cyber incidents rank among the highest concerns, professionals managing these exposures may benefit from a structured AI Learning Path for Cybersecurity Analysts to enhance threat detection and risk monitoring capabilities.
Why this matters for insurance professionals
Insurers can no longer treat cyber, economic, and environmental risks as separate silos. Underwriting and risk management teams must adopt integrated modeling approaches that account for how inflation and supply chain pressures amplify claim costs. Addressing these compounding variables is essential for maintaining capital allocation stability and closing persistent protection gaps in the current market.
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