Volatility Is the New Baseline: How Global Underwriting Is Adapting to Permanent Uncertainty
- Jan 20
- 8 min read
The WMB Insider’s Guide to Smarter Insurance Decisions
In 2026, global volatility is no longer a question or a passing phase the insurance industry can simply endure until conditions return to “normal.” Persistent geopolitical unrest, accelerating climate change, and deepening supply-chain fragility have fundamentally reshaped the risk landscape, establishing a new normal that underwriters, insurers, and insureds must actively prepare for if they are to remain resilient and competitive.
What does this mean, specifically, for the underwriting industry?
It means that underwriters have some significant challenges ahead. Traditionally, one of the most important aspects of an underwriters role is to assess historical loss data - until recently, historic loss data was the foundation of the underwriting industry. However, as the world around us becomes increasingly volatile and uncertain, historic risk models are no longer sufficient. Historic risk models can no longer account for shifting climate patterns, accelerated shifts in geopolitical instability, continued supply chain disruptions, and new and emerging technologies increasing overall risk modeling complexities.
For underwriters, this coming year will be a transformative one. The risk evaluations of yesterday of historic loss trends, somewhat predictable climate and exposure risks, and linear supply chains are out the window; in 2026, underwriters will need to focus more on forward-looking exposure quality, risk stress tests, and interconnected and systemic risk signals if the underwriting industry has any hope of maintaining any sort of predictability and consistency in evaluating and assessing operational risks.
Volatility Is the New Baseline: How Global Underwriting Is Adapting to Permanent Uncertainty
The New Risk Baseline: Why Uncertainty Isn’t Going Away
This "new normal" risk environment will be shaped by complex and overlapping systemic challenges that will require more "out-of-the-box" thinking, particularly in the areas of climate volatility, geopolitical instability, and supply chain fragility.
The sudden increase in non-linear weather patterns will be one of the most pressing challenges moving ahead for the underwriting industry as it pushes insured losses to record levels, making outcomes increasingly difficult (if not nearly impossible) to predict. Historical weather data can help, but as climate change transitions into unprecedented territory, historic data can only take them so far.
While historic loss data may still offer limited insight for modelling climate-related risk, it is largely ineffective in addressing today’s geopolitical volatility. Escalating civil disruption in the United States, rising international hostilities, expanding sanctions and tariffs, and ongoing supply-chain disruption are creating risk conditions with few historical parallels. As these forces continue to compound operational delays and financial uncertainty across global industries, traditional risk modelling frameworks (previously built on backward-looking assumptions) are increasingly inadequate, rendering historic data insufficient for forward-looking underwriting decisions (KPMG US, 2025).
This geopolitical unrest will most certainly have an impact all over the globe, touching every and all industries, but the already-fragile global supply chain will likely feel the effects most severely. Shocks to production networks, lingering pandemic disruptions, and escalating regional conflicts will significantly elevate business disruption exposures and associated liability claims, ultimately challenging traditional underwriting assumptions about continuity and correlation (Puławska et al., 2025) .
From Predictive Models to Scenario Thinking
Traditionally, underwriting has relied heavily on statistical models and historic loss data to price risk and allocate capital. But as we now navigate into a state of permanent volatility and uncertainty, the limitations of this traditional approach have been exposed and, thus, underwriters will need to create an environment that resembles stability and predictability. Underwriters will now need to utilize new methodologies, such as:
Forward-looking stress and scenario analysis: Instead of assuming that past trends will repeat, underwriters should be using scenario-based models that explore extreme, yet plausible, outcomes such as multi-region climate events, concurrent supply chain failures, or cascading geopolitical shocks.
Dynamic risk assessments: Static models lag behind today’s rapidly shifting exposures. Leading insurers are now incorporating near-real-time insights from climate monitoring, geopolitical indices, and supply chain analytics, allowing underwriting and pricing to adapt continuously to emerging risks. Adapting from static data to real-time consistently evolving data will take some time, but underwriters will need to embrace this change sooner rather than later if there is any hope for accuracy and predictability in operational risk modeling strategies.
Risk Interconnectivity Mapping: Modern perils rarely occur in isolation. A single event can trigger cascading effects rippling across multiple domains. For example, a severe climate event may disrupt supply chains, strain infrastructure, elevate operational risk, and create vulnerabilities for cyber systems all at once. Newly emerging and advanced analytical tools are now being implemented to capture these complex interdependencies, mapping correlations across cyber, operational, climate, and political risks. By simulating these chains of events, insurers can identify potential ‘domino effects’ that traditional historical data models miss entirely; ultimately enabling more resilient underwriting decisions and proactive risk mitigation strategies.
Data diversification and alternative sources: To overcome the limitations of sparse or outdated historical records, underwriters should be looking to implement an array of nontraditional datasets. Satellite imagery can provide near-real-time insights into environmental changes, infrastructure resilience, and regional exposures. IoT sensors embedded in facilities, vehicles, and supply chains can deliver continuous operational data, highlighting vulnerabilities before they escalate into losses.
Mobility and transaction trends reveal shifts in human behavior and economic activity that can affect risk exposures, while alternative datasets (such as social sentiment analysis, weather pattern modeling, and geopolitical intelligence feeds) offer additional forward-looking signals. By integrating these diverse sources, underwriters can facilitate more nuanced and proactive risk assessments, effectively reducing uncertainty while generating smarter pricing and coverage decisions in an increasingly complex global landscape.
Essentially, the shift will require an emphasis not on what has happened, but on what could happen, reflecting a broader move in global underwriting from what were once reactive, data-driven models to what will now be proactive, intelligence-driven frameworks.
Evolving Underwriting Frameworks for Continuous Disruption
To remain viable in a world of persistent uncertainty, underwriters are embracing innovative frameworks that go beyond traditional stochastic models. Key shifts include:
Scenario-Based Underwriting
Rather than relying exclusively on probability distributions tied to the past, insurers are using scenario analysis to assess outcomes across a spectrum of plausible futures — from mild to extreme. This approach includes:
Macro-economic shock scenarios (e.g., geopolitical escalation or global recession).
Multiple climate futures that stress test portfolios against warmer, more volatile conditions.
Supply chain disruption scenarios considering cascading economic effects.
Scenario-based underwriting lets insurers explore tails and extremes that traditional loss history might underweight or entirely miss.
Integrated Risk Assessment
Modern underwriting frameworks are integrating cross-disciplinary insights — combining climate science, geopolitical analysis, supply chain economics, and cyber risk intelligence — to produce richer risk profiles. This holistic lens is essential because perils are increasingly interdependent, not siloed.
Technology and Alternative Data
Artificial intelligence, satellite imagery, IoT sensors, and real-time economic indicators help underwriters capture emerging risk signals faster than conventional actuarial approaches allow. These tools reduce the lag between risk evolution and portfolio responsiveness.
Underwriting Command Centers
With growing complexity, fragmented systems, and mounting profitability, there is mounting pressure to accelerate the shift away from traditional “inbox underwriting.” Many underwriters are still managing submissions through emails, PDFs, spreadsheets, and disconnected tools—an approach that slows decision-making, introduces inconsistency, and limits scalability at a time when data requirements and risk volatility continue to rise.
According to Munich Re, the response will include moving toward unified underwriting command centers that bring data, workflows, and decision support into a single, connected environment. These platforms enable real-time collaboration, stronger risk selection, and faster quote-to-bind cycles while reducing leakage and operational friction. As highlighted by Guidewire’s Mike Quintal, consolidating underwriters, data, and workflows in one environment is becoming essential to driving consistency, improving decision quality, and supporting a more resilient underwriting model (Guidewire, 2025).
Strategic Adaptations in Underwriting and Pricing
As the baseline for risk has shifted, insurance carriers are adapting in several strategic ways:
Dynamic Pricing
Premiums are being adjusted more frequently to reflect updated risk assessments rather than annual renewals based on lagged data. This dynamic stance helps insurers maintain alignment with rapidly shifting exposures.
Risk Selectivity
Insurers are reassessing where they will provide coverage, withdrawing from unprofitable lines or regions and focusing capital on areas where models and reinsurance arrangements support sustainability.
Enhanced Reinsurance & Capital Solutions
Higher volatility demands more sophisticated capital strategies, including expanded reinsurance, insurance-linked securities, and capital buffers that can absorb extreme losses without threatening solvency.
Scenario-Based and Stress-Tested Risk Behaviour
Although all items above are equally vital to the future of underwriting, the most vital component will be the transition from static risk modeling to scenario-based (as described above) and stress-tested evaluations of risk behaviour.
Rather than asking “What is most likely to happen?”, underwriters are now asking: “How does this risk perform when conditions materially deteriorate?”
This reflects a recognition that in a volatile environment, tail events - not averages - are increasingly determining portfolio outcomes.
From Probability to Plausibility
Traditional underwriting models prioritize likelihood, often discounting low-probability, high-severity events. Scenario-based underwriting reframes the analysis around plausible extremes, including:
Severe but credible climate outcomes (secondary perils, compounding events)
Inflation-driven severity escalation
Prolonged supply chain disruption
Regulatory or geopolitical shocks
Multi-peril correlation across regions and lines
The goal is not prediction, but preparedness.
Stress-Testing How Risks Behave
In stress-testing, underwriters now assess:
How quickly losses accumulate under stress
Whether controls and redundancies hold under pressure
How recovery timelines stretch during systemic disruption
Where aggregation risk emerges across portfolios
A risk that appears acceptable under normal conditions may prove unsustainable when exposed to compounded stress — and those stress points are now underwriting-relevant.
Implications for Pricing & Capacity
Scenario-based evaluation directly informs:
Pricing adequacy under adverse conditions
Capacity deployment and limit structures
Attachment points, exclusions, and sub-limits
Reinsurance alignment and capital efficiency
In this framework, resilience is priced, not assumed.
Why this Shift is Crucial
Scenario-based and stress-tested underwriting acknowledges a fundamental truth of the modern risk environment: Volatility is no longer an exception to model around; it is the condition for which to model.
As uncertainty becomes structural (and permanent), underwriting judgment will increasingly depend on how risks behave under strain, not how they performed in calmer periods.
Looking Forward: Underwriting in a Volatile Age
The future of underwriting lies in embracing volatility rather than resisting it. Carriers that adapt successfully will treat unpredictability not merely as a risk to be managed, but as a strategic signal guiding innovation, partnerships, and risk mitigation. The most effective underwriters will be those who anticipate change, rather than simply respond to it.
Volatility is no longer an anomaly; it is the baseline. Climate variability, geopolitical tension, and structural supply chain fragility have reshaped the global risk landscape, rendering past experience an unreliable guide. To remain resilient and relevant, underwriting frameworks must evolve—adopting scenario-based analysis, integrated risk intelligence, and more adaptive pricing strategies (Fantini et al., 2024).
This emerging paradigm does not replace traditional underwriting discipline. Instead, it extends it, equipping underwriters with the ability to operate confidently in an environment where uncertainty is not an exception, but the defining condition.
Insurers and insureds who are looking for a globally experienced and knowledgeable broker to help navigate this "new normal" would do well to contact Wilson M. Beck Global Risks. You have global risks? We have global reach.
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References:
Fantini, L., Blanchard, B., Rath, S., Removille, P., Schwemer, S., & Mayeres, F. (2024, June 20). An insurance risk framework for climate adaptation. BCG Global. https://www.bcg.com/publications/2023/an-insurance-risk-framework-for-climate-adaptation
guidewire-staff. (2025, December 22). 2026 P&C Insurance Trends: The forces reshaping the industry. Guidewire. https://www.guidewire.com/resources/blog/general-interest/2026-p-and-c-insurance-trends-the-forces-reshaping-the-industry
KPMG US. (2025, February 4). Navigating complexity and uncertainty. KPMG. https://kpmg.com/us/en/articles/2025/navigating-complexity-and-uncertainty.html
Puławska, K., Sikora, A., Snarska, M., & Strzelczyk, W. (2025). Macro risks and their impact on insurer stock prices: Analyzing climate, geopolitical, and cybersecurity risks. Research in International Business and Finance, 81, 103201. https://doi.org/10.1016/j.ribaf.2025.103201
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