U.S. Insurance Industry Profits Amid Climate Risk Modeling Uncertainty

Despite widespread headlines suggesting a climate-driven insurance crisis marked by dramatic rate hikes for homeowners and businesses, the U.S. property and casualty (P&C) insurance industry is currently experiencing record underwriting profits. Data from the National Association of Insurance Commissioners (NAIC) indicates that despite severe catastrophes, including unprecedented wildfires and a hurricane-free latter half of 2025, the industry achieved its best midyear underwriting results in two decades and its strongest quarter in at least 25 years. This financial performance challenges narratives that higher premiums are primarily due to increased payout demands from climate-related disasters. Historically, insurers relied heavily on investment income from premiums collected upfront, with underwriting typically breaking even amid fierce industry competition. However, recent years show a shift where underwriting alone has generated substantial profits. This evolution reflects not just actual claims experience but also changes in regulatory practices aimed at addressing climate risk. Starting around 2015, financial regulators and industry leaders began emphasizing the incorporation of climate risk into risk modeling and disclosures. These mandates drove the emergence of a new market segment of climate risk vendors offering predictive modeling solutions intended to quantify climate impacts on property losses. However, the scientific validity and consistency of these models remain contentious, with a 2025 Global Association of Risk Professionals (GARP) study exposing substantial discrepancies among vendor estimates for identical risk scenarios. The GARP study revealed that climate risk models sometimes produce divergent assessments ranging from no loss to total loss for the same properties and events, highlighting significant uncertainty. This divergence may lead insurers to adopt conservative pricing strategies based on the highest risk projections, thereby inflating premiums independent of actual loss experience. This dynamic suggests that regulatory expectations and modeling frameworks, rather than changes in climate damage severity, may be key cost drivers in insurance pricing. Contrasting with newer climate risk models, traditional catastrophe modeling firms like Verisk estimate the annual impact of climate change on losses to be minimal, around 1%. This finding underscores the ongoing debate over how best to measure and price climate risk within insurance underwriting. Industry stakeholders and regulators face a complex balancing act between prudent risk management and avoiding premature premium inflation driven by inconclusive or inconsistent climate modeling data.