Key Highlights
- Global external conflicts have expanded to over 100 countries since 2008, nearly doubling from previous levels, with violence-related economic losses approaching $22 trillion annually.
- Machine learning technology from Verisk creates a Predictive War Index that calculates warfare probability in any nation within a 12-month timeframe.
- Retrospective analysis demonstrated the algorithm identified a 66% war probability for Iran merely six weeks before hostilities commenced.
- Major financial institutions including Citigroup and Morgan Stanley acknowledge that conventional risk assessment frameworks relying on historical patterns are now inadequate.
- Military conflict has surpassed domestic civil disorder as the primary political violence concern for corporations purchasing insurance protection, based on Allianz data.
Financial institutions and insurance providers are embracing cutting-edge artificial intelligence systems to anticipate military engagements and armed conflicts — leveraging technology originally developed for natural catastrophe forecasting.
This transformation arrives amid escalating geopolitical instability worldwide. The count of nations engaged in active external military operations has expanded from approximately 50 in 2008 to more than 100 today. Research from the Institute for Economics and Peace calculates that violence-related economic damage has reached nearly $22 trillion — exceeding 10% of worldwide economic output.
Conventional financial forecasting systems, predominantly constructed using historical datasets spanning decades, are proving insufficient for current challenges. Citigroup cautions against depending on backward-looking analytical frameworks. Morgan Stanley advocates for fundamentally reconsidering approaches to geopolitical risk management.
Innovative Solutions for Contemporary Challenges
Verisk, a company recognized for catastrophe modeling services provided to insurers and catastrophe bond investors, has introduced two novel products targeting warfare risk assessment. The company’s Predictive War Index employs machine learning algorithms trained on political, economic, and social datasets spanning 1995 through 2022. This system generates forecasts indicating warfare outbreak probability for specific countries over upcoming 12-month periods.
Retrospective testing revealed the platform would have identified Iran with a 66% warfare probability merely six weeks prior to conflict initiation on February 28 this year. Verisk has additionally developed a Geopolitical Relations Index measuring tension between country pairs, evaluating variables including historical military confrontations and geographic positioning.
Another Verisk algorithm, deployed in October 2023, has successfully predicted six of seven governmental collapses since implementation. Accurate forecasts included regime changes in Syria under Bashar al-Assad and Venezuela under Nicolas Maduro.
The RAND Corporation has similarly constructed an artificial intelligence framework converting ambiguous geopolitical circumstances into quantified probability assessments. Testing conducted in mid-May calculated a 20% likelihood that Iran’s governing regime would not survive through 2027.
The Inadequacy of Legacy Systems
A fundamental challenge involves the incompatibility between events like economic sanctions or maritime blockades and traditional financial risk architectures. Senior model risk executives at Citigroup note these occurrences don’t conform to standard statistical patterns — instead, they fundamentally alter the entire range of potential outcomes.
The Strait of Hormuz confrontation illustrated this limitation dramatically. Following conflict initiation, Lloyd’s of London issued marine war risk premium quotes reaching 1% of vessel valuation per voyage, representing a substantial increase from pre-conflict rates of fractions of a percent.
Late Sunday, US and Iranian officials announced an interim agreement to reopen the Strait of Hormuz. Representatives from both nations will convene in Switzerland on June 19 for formal agreement signing, although critical provisions remain under negotiation.
Gordon Woo, a risk specialist at Moody’s, observes that contemporary conflict dynamics resemble terrorism modeling frameworks, where minimal-cost actions generate disproportionate economic consequences.
Military warfare has displaced civil unrest as the predominant political violence concern among businesses purchasing insurance coverage, according to Allianz’s May 2026 risk assessment report.
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