AI In the Eye of the Storm
Severe weather and shifting tornado patterns are driving insurance costs higher. Learn how insurers can manage rising risk, claims, and premiums.
- By: Amy Gillespie
- May 3, 2026
- 5 min read
By: Amy Gillespie
The 2026 tornado season is off to an early and dangerously rapid start as tornado alley continues to expand and wreak havoc. States not traditionally prone to tornadic activity continue to be plagued by destructive storms, and the season shows no signs of slowing down.
Weather on This Day reports that by mid-April of this year, 304 tornados had touched down in the U.S. 204 of those occurred in March alone – nearly triple that month’s average. And March 2026 wasn’t just busy – it was historic! Two major outbreaks in the first 12 days of the month produced 138 confirmed tornados.
Of additional concern is the growing intensity of the storms. Tornado categories are based on the Enhanced Fujita scale (EF) which rates tornado intensity based on the severity of the damage a tornado causes. EF5 tornados pack winds in excess of 200 mph, while EF4 and EF3 storms reach speeds between 166-200 mph and 136-165 mph, respectively. In March, a category EF5 tornado occurred in Indiana – only the second EF5 tornado in the U.S. since 2013. One EF4 tornado and 2 EF3 tornados have also been confirmed.
Meteorologists attribute the high concentration of tornados in March and April to record warmth, high moisture, and strong wind shear. These elements cause the explosive supercells responsible for tornadic activity.
Scientists are also watching to see how the La Niña to El Niño transition may influence storm tracks, potentially shifting tornado activity eastward, and again, causing impact to the Southeast and Midwest. La Niña and El Niño are climate patterns in the Pacific Ocean that significantly influence global weather; their transition phase is historically dangerous for the United States. La Niña springs tend to produce more tornados in the South and El Niño conditions shift storm tracks.
Rising Losses, Narrowing Margins
The peak of tornado season is still ahead. The month of May averages 275 to 294 tornados nationally – more than March and April combined. And while overall, meteorologists predict 2026 to be an average year in tornado counts, the risk of severity has increased, as demonstrated by the Indiana storm.
The total financial impact of convective storms through mid-April is still unknown, but according to a report in InsuranceBusiness magazine, the March storms alone are expected to surpass $1 billion.
These losses add to an already escalating backdrop of severe convective storm (SCS) costs nationwide. Convective storms are intense weather events driven by rising warm, moist air, capable of producing tornados, damaging winds, large hail, lightening, and heavy rainfall. Aon states in its 2026 Climate and Catastrophe Insight report that SCSs have surpassed tropical cyclones as the costliest insured peril of this century.
And this trend has been building for years. Moody’s reported that in each of the last three years, convective storm insured losses in the United States have exceeded $50 billion. It was separately noted that urban and suburban areas in the U.S. have expanded by 20% since the year 2000, creating a larger target for storm impacts.
How AI Is Helping Insurers in the Eye of Storm
The use of Artificial Intelligence (AI) with traditional property and casualty policy administration systems is becoming more wide-spread, causing a transformative shift in the way the industry underwrites risk, adjusts claims, and provides customer service. According to ScienceSoft, nearly nine in ten insurers are exploring AI tools, with over half of those insurers implementing AI in claims, underwriting, and customer experience workflows. And, according to that same source, insurers are reporting 50 to 75% faster processing speeds, 99% accuracy in risk models, and up to 20% cost savings through automation and predictive analytics.
While AI isn’t going to transform the insurance industry overnight, it’s becoming more valuable in removing friction from complex insurance workflows. One key area for which insurers are using AI is catastrophe modeling and climate risk analysis.
The use of AI is now making it possible for P&C policy administration systems to ingest real-time weather information and geospatial data. Geospatial data refers to time-based information related to a specific location on the Earth’s surface that, when compared to other variables, reveal patterns and trends. By combining location information (usually coordinates) and attribute information (characteristics of an event) information with temporal information (time or life span of an event), meteorologists and scientists can create more traditional reports for predicting and modeling weather patterns. These reports can then be consumed by AI technology to better predict potential severity and loss distribution in geographic locations.
By assessing the insurer’s exposure in those same geographic areas, insurers can price and manage risk more effectively – removing the traditionally linear risk model of yesterday.
Another report by InsurTech shows that approximately 25% of property and casualty insurers now deploy AI intelligence models to gauge extreme weather threats. This is based on a survey done by ZestyAI of 200 senior insurance executives.
Attila Toth, Founder and Chief Executive Office of ZestyAI, states, “With the growing threat of extreme weather events, we are seeing accelerated rates of adoption of AI-driven models within the insurance industry to assess risk.”
AI: Turning Uncertainty into Advantage
As stated, AI isn’t going to transform the insurance industry overnight, but it is giving insurers better tools with which to manage and diversify exposure. And as weather risks continue to evolve, the combination of a solid policy management system and AI tools becomes more critical for carriers to remain competitive and financially viable.
SpeedBuilder Systems’ award-winning, BindExpress Suite delivers cloud-based, end-to-end policy and claims administration tailored for small to mid-sized insurers. With purposely open APIs and highly flexible workflows, it provides a strong foundation for integrating and scaling AI across the enterprise.
Proven across multiple property lines in storm-prone regions, BindExpress enables insurers to operationalize AI where it matters most. Intelligent, fully integrated, low-code, and highly configurable, it empowers carriers to move beyond uncertainty—transforming risk into a strategic advantage.
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