search CONTACT US
Blogs Blogs
Perspectives

Blogs

Explore expert perspectives on industry transformation, emerging technologies, and business innovation. Stay ahead with insights from WNS thought leaders.

CONTACT US
Perspectives | Blog

Insurance and Tariffs: Modeling the Unpredictable in an Era of Global Uncertainty

Read | Aug 07, 2025

AUTHOR(s)

A WNS Perspective

Key Points

  • The unprecedented tariff hikes by the US are altering the global business dynamics, including the Insurance sector, where critical areas like premiums, underwriting, and claims costs are adversely impacted, increasing the cost of insurance for the insured and shrinking margins for the providers
  • Insurers are defining new strategies to combat the effects of tariff hikes through AI and advanced analytics for streamlined, focused functions and operational efficiency. Providers are also leaning towards product innovation, flexible coverage, tariff engineering, risk modeling, and supply chain diversification to minimize the cost increase
  • The evolving tariff landscape will foresee increased investments in AI-driven capabilities and solutions to encourage premium stabilization, risk mitigation, and to enhance expansion opportunities for sustained revenue streams.

Tariff Takeover 2025; Understanding the Tariff Impact on Insurance

Escalating tariffs, in the year 2025, have significantly impacted the Insurance sector, in the US and the rest of the world alike. Increasing the costs for healthcare inputs by 3% premium hike, the tariff increase has also severely impacted the import of products like auto parts, aluminium, building materials, steel, among other essential commodities. Creating a ripple effect in the critical areas of premiums, claims costs, underwriting practices, and overall market dynamics, the tariff impact on Insurance is challenging the value chain.

Import-graph

Let us understand the impact of tariff-driven changes, the impact on premiums, the change in claims cost, and its effect on the Insurance market across sectors

  • Motor Third-party Insurance

    An increase in premiums is expected to be around 15-20%. Additionally, increasing claims costs will impact the purchase of new vehicles and higher financial outflows for motorists

  • Impact on Claims Cost

    Anticipating a spike in loss costs, personal auto will be prompted to raise Insurance rates and reestablish the underwriting process in the coming year. Repair costs for auto parts are also expected to increase by 3.8% owing to tariffs levied on steel, aluminium, and other similar materials

  • Slowdown in Insurance Premium Globally

    The global GDP is set to slow down to 2.3% in the year 2025, with shifting global insurance trends impacting premium growth, which is expected to hit 2% (from 5.2%) as a result of the US tariffs. This, in turn, can decline both the non-life and life Insurance premium growths, at 2.6% and 1% respectively

  • Effects on the Market

    Inflated replacement values and underwriting concerns are driving an increase in the premiums, along with higher administrative costs. Geopolitical risks in Insurance are also softening the commercial property rates globally, as the supply chain disruptions increase

  • Insurer Strategy

    To be able to offset tariff-induced price hikes, insurers are adopting new, more flexible strategies, including adjusted rate filings, stringency underwriting practices, and reserve creation. As the domestic supply chain shifts and onshoring increases, some insurers are also anticipating a demand increase in newer territories.

How to Rest Insured: Withstanding the Ongoing Tariff Risk in Insurance

Tariff has usurped the normalcy for Insurance by reducing the demand for coverage, high costs of replacements and repairs, and increased claim severity, resulting in squeezed profit margins for the insurers.

However, with strategic adoption of supply chain shifts, providers can explore new possibilities and grow despite the headwinds. Let us take a closer look at how insurers can mitigate the tariff hike impact:

  • Pricing and Underwriting Changes

    Refined rate filings and flexible underwriting criteria can help reflect the increased claims costs, especially for products like construction materials, auto parts, and repair services. Switching to agile pricing models is a must for insurers to quickly adapt to changing market dynamics.

    Many Insurance providers are investing in Artificial Intelligence (AI) and Machine Learning (ML) adoption to improve risk assessment, create flexible premium adjustments, and develop a smart insurance pricing strategy that works in real-time, based on evolving economic conditions.

  • Product Innovation and Enhanced Coverage Flexibility

    Flexible products that can withstand the changing market are the way to capture market share and grow. Insurers need to develop products that offer flexible premium payments, adjustments in coverage, and customized cost-sharing plans to suit inflation-sensitive customers and retain their loyalty, even during cost spikes

  • Scenario Planning and Improved Risk Modeling

    Leveraging advanced analytics, AI-driven tools and catastrophe modeling to create tariff-related scenarios can help in better risk forecasting and capital planning. AI adoption enables insurers to manage the cost pressures by proactively simulating situations and adjusting to the changes

  • Driving Operational Efficiencies

    Businesses can strategize to control administrative expenses in order to optimize underwriting margins. Utilizing technology to improve operational efficiency can help absorb the rising claims costs

  • Improved Supply Chain Strategies for Insured Businesses

    Insurers can redefine the supply chain in three quick steps:

    • Tariff Engineering: Upgrading manufacturing processes and product redesign can help them develop lower-tariff category products for cutting the base cost as well as the claims severity
    • Make vs. Buy Analysis: Sourcing from tariff-exempted countries or those with favorable trade agreements can reduce tariff exposure and add resilience to the supply chain
    • Supply Chain Diversification: Businesses must diversify their supply chain to reduce dependence on high-tariff countries and explore cost-cutting opportunities

  • Gauging Early Market Signals

    Insurers should deploy processes that provide strategic foresight to anticipate tariff shifts and devise investment strategies to minimize disruptions during any market changes

  • Trade Program Initiatives and Duty Mitigation

    Leveraging free trade agreements (USMCA) and customized strategies such as duty drawback, first-sale-for-export, etc., can reduce the dutiable value and help reduce the cost of insured asset replacement as well as claim amounts.

Addressing the Tariff Hike Challenges with AI

AI plays a critical role in offsetting the tariff hike impact for the Insurance sector. Empowering insurers with real-time, risk-based pricing models, dynamic premium, customized customer segmentation for focused offerings, and driving operational efficiencies, it enables cost reductions and profit margin optimization. Intersecting with tariff hikes, here’s how AI delivers innovative solutions for the providers:

  • Precision with Risk Assessment and Underwriting

    With AI, insurers can analyze vast amounts of data sets to gauge changes around tariff, customer behavior trends, and supply chain disruptions, which enables more accurate underwriting and tailored and dynamic policy creation for higher customer satisfaction, thereby minimizing the tariff-driven losses

  • Risk Mitigation and Tariff Compliance

    Tariff shifts often put the insurers (within supply chain and trade credit areas) at regulatory and operational risks, and by utilizing AI-driven processes, it is easy to reduce operational disruption and manage risk proactively. By driving automated tariff management solutions using advanced data analytics, AI ensures compliance with changing rules, highlights any warning signs, and optimizes duty payments

  • Automation for Claims and Improved Fraud Detection

    Powered by AI, automated claims solutions and embedded Insurance save insurers from manual errors, accelerate claims processing, and flag any suspicious claims (linked to tariff-driven cost inflation), through fraud detection. AI aids in keeping a check on the increased costs and complexities of claims settlement, adding efficiency to the process

  • Internal Cost Management

    As the claims severity for several Insurance types is pushed up by tariff hikes, Insurers are leaning towards AI to manage internal costs using predictive analysis and claims forecasting. Smart AI-based solutions help stabilize premiums and drive operational efficiencies with consistent monitoring and insights.

Navigating Costs and Driving Growth with Tariff Risk Modeling in Insurance

With technology taking the centrestage and navigating change for the Insurance sector, tariff risk modeling is trending towards strategic approaches that leverage AI and advanced analytics to address the dynamics and control the impact of tariff hikes in the following ways:

  • Risk Mitigation with scenario planning, increased regulatory compliance, and collaborative advocacy with policymakers.
  • Policy adaptation and a focused supply chain by introducing tariff-aware product features, modular products, and matching the inflated costs with adjusted coverage triggers
  • Integrating tariff policies and global economic indicators into insurance risk modeling to better anticipate the changes in claim patterns and minimize underwriting risks
  • Factoring the tariff impact on investment portfolios into risk models and capital allocation policies

As the tariff landscape continues to evolve, investments in AI-driven capabilities and solutions will help insurers to stabilize premiums, minimize risk, and capture opportunities and growth from expanding market horizons, converting tariff impact into enhanced revenue streams.

Leveraging its proprietary Analytics Design Engine (WADE)SM and predictive models, WNS has been delivering tangible outcomes for clients across the areas of underwriting, pricing, and fraud reduction. Covering end-to-end support services for the Insurance value chain, WNS analytics develops dynamic models based on modular platforms and intelligent workflows that incorporate macroeconomics and regulatory changes into Insurance risk evaluation frameworks.

Discover how you can reduce the impact of claims inflation, increase profitability, and sustain market competition despite tariff-driven pressures by clicking here.

FAQs

1. What is Tariff Risk in Insurance?
For the Insurance sector, tariff rise generally refers to the potential for a rise in claims and costs in various insurance lines owing to the increased tariff imposed on imports that impact Insurance-related costs. This can include costs for goods, materials, home construction, vehicle repair, and manufacturing. This change significantly impacts underwriting, premium costs, and claim severity as cost keeps flowing through the supply chain.
2. What Kind of Challenges are Foreseen for Insurers Due to Tariff Risk?
  • Higher claims severity and loss costs.
  • Increased pressure on underwriting profitability and decreased margins due to inflation.
  • Insurers are required to re-model pricing strategies, underwriting, and redefine loss reserves
  • Investment returns and profitability become uncertain in volatile markets
3. How are Insurers Responding to Tariff Risks?
Insurers are responding to the tariff change with:
  • Adapting to new underwriting guidelines proactively and adjusting the existing rate filings
  • Increasing loss reserves to buffer rising claims costs.
  • Leveraging AI to work on scenario modeling and predictive analysis for tariff impact anticipation (for claims and premiums)
  • Managing expectations with timely communication with brokers and policyholders
4. What is AI-powered GRC transformation and how does it benefit enterprises?

AI-powered GRC transformation refers to the use of artificial intelligence and automation to streamline governance, risk, and compliance processes. It helps enterprises improve control assurance, enhance audit accuracy, reduce manual effort, and enable continuous compliance monitoring at scale.

5. How can organizations improve internal controls management across complex environments?

Organizations can improve internal controls management by adopting a unified GRC operating model, standardizing control frameworks, leveraging AI-driven automation, and implementing a centralized system as a single source of truth for controls, processes, and audit documentation.

6. What are the key challenges in scaling audit and compliance operations?

Common challenges include fragmented control documentation, lack of skilled resources, inconsistent audit processes, high compliance costs, and limited visibility across business units. These issues often lead to inefficiencies, rework, and reduced audit readiness.

7. How does AI help in improving audit efficiency and compliance accuracy?

AI enhances audit efficiency by automating documentation, standardizing workflows, identifying control gaps, and accelerating testing processes. It also improves compliance accuracy by reducing human errors and ensuring consistent application of control frameworks.

8. What are the measurable outcomes of implementing a scalable GRC operating model?

A scalable GRC model can deliver outcomes such as increased audit coverage, faster process documentation, improved control maturity, reduced audit costs, higher auditor reliance, and better risk visibility across the organization.

9. How are global tariffs and geopolitical instability reshaping insurance risk models?

Global tariffs, trade restrictions and geopolitical uncertainty are increasing volatility across supply chains, inflation trends and claims exposure, making traditional insurance risk models less effective. Insurers must adopt dynamic, AI-driven modeling frameworks that continuously assess emerging macroeconomic and geopolitical risks in real time. WNS helps insurers modernize risk intelligence and underwriting operations through advanced analytics, predictive modeling and AI-led decision ecosystems.

10. Why is predictive analytics becoming essential for insurers navigating economic uncertainty?

Predictive analytics enables insurers to proactively assess the impact of tariff changes, supply chain disruptions and inflationary pressures on underwriting portfolios and claims performance. By leveraging AI and real-time data intelligence, insurers can improve pricing precision, optimize risk selection and strengthen profitability in uncertain economic environments. WNS combines deep insurance expertise with advanced analytics capabilities to help insurers build more resilient and adaptive operating models.

11. How can insurers improve underwriting agility during periods of trade and market volatility?

Insurers can improve underwriting agility by integrating external economic indicators, real-time market intelligence and AI-powered automation into underwriting workflows. Intelligent underwriting ecosystems help insurers accelerate decision-making, enhance portfolio visibility and respond faster to rapidly evolving global risks. WNS enables insurers to transition from fragmented underwriting operations to connected, insight-driven decision frameworks powered by AI and analytics.

12. What operational challenges do insurers face in modeling tariff-related risks?

Tariff-related risks create challenges such as inaccurate exposure forecasting, inconsistent pricing assumptions, supply chain uncertainty and limited visibility into secondary economic impacts across industries. Many insurers also struggle with siloed data environments that limit real-time risk assessment capabilities. WNS helps insurers overcome these challenges through integrated analytics platforms, intelligent automation and scalable risk modeling solutions designed for volatile market conditions.

13. Why should insurers partner with WNS for AI-led risk and underwriting transformation?

WNS combines deep insurance domain expertise with advanced AI, analytics and intelligent operations capabilities to help insurers modernize underwriting, pricing and risk management functions at scale. From predictive risk intelligence and catastrophe modeling to AI-powered underwriting workbenches and operational transformation, WNS enables insurers to improve agility, strengthen portfolio resilience and drive smarter business decisions in an increasingly unpredictable global environment.

Join the conversation
Related To: Transformation Solution Risk management Predictive Modeling