Industry Expertise

Insurance

Build resilient insurance economics as changing risk pools, climate exposure and affordability pressures redefine coverage and insurability.

Insurance is confronting a widening gap between the risks society faces and the risks that can still be priced, absorbed and distributed affordably

We see insurers balancing underwriting discipline and capital with climate exposure, changing loss economics, technology and growing pressure around availability of coverage.

Insurance enters September 2026 with protection gaps becoming a strategic issue rather than a peripheral social concern. Natural-catastrophe losses, development in exposed areas and higher replacement costs are increasing expected losses while insurers tighten terms or withdraw capacity in selected markets. At the same time, AI is changing underwriting, claims and distribution and creating new operational and liability questions. The industry must determine where improved data and pricing can preserve insurability, where products or risk-sharing models need redesign and where changing hazard economics require fundamentally different relationships between insurers, customers, reinsurers and governments.

Focus

Insurance is leaving the hard market without leaving the underlying pressure behind

Catastrophe exposure, changing customer expectations and AI adoption are reshaping underwriting, claims and the economics of insurance operations.

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Strategic Challenges

What happens when insurance pricing softens but risk does not?

The challenge is maintaining underwriting discipline while catastrophe severity, technology investment and customer expectations continue to rise.

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Strategic Impacts

AI is moving deeper into underwriting and claims decision workflows

Better data and automation can change operating economics, but only where legacy systems and risk governance can support scaled deployment.

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Observed Patterns

Insurers often scale AI before fixing the data and systems beneath it

Advanced models cannot compensate for fragmented policy data, legacy architecture and controls that were never designed for autonomous decisions.

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Strategic Challenges

What happens when insurance pricing softens but risk does not?

The challenge is maintaining underwriting discipline while catastrophe severity, technology investment and customer expectations continue to rise.

Read now

Strategic Impacts

AI is moving deeper into underwriting and claims decision workflows

Better data and automation can change operating economics, but only where legacy systems and risk governance can support scaled deployment.

Read now

Observed Patterns

Insurers often scale AI before fixing the data and systems beneath it

Advanced models cannot compensate for fragmented policy data, legacy architecture and controls that were never designed for autonomous decisions.

Read now

Industry Challenge

Insurers must price a world where risk is changing faster than historical models

Insurance companies are managing a risk landscape shaped by climate losses, cyber threats, inflation, geopolitical shocks and evolving technology. Historical data alone is becoming less reliable for pricing and portfolio decisions, while affordability pressures can limit how risk can be transferred to customers. At the same time, competition is increasing as parts of the underwriting cycle soften. The challenge is to maintain disciplined pricing and capital allocation while closing protection gaps and adapting models to risks that are more interconnected, dynamic and difficult to diversify.

Future Outlook

Insurance will become a more active platform for prevention and resilience

The future of insurance will extend beyond indemnifying losses toward helping customers anticipate, reduce and finance risk before events occur. Better sensors, data and AI can improve underwriting and claims, while parametric products and new risk pools can expand coverage where traditional models struggle. The industry will also gain new opportunities from data centers, energy infrastructure and advanced manufacturing. Success will depend on using technology without eroding trust or model discipline. Insurers combining risk intelligence, prevention and capital discipline can outperform.

Market Outlook

Premium growth is slowing from cyclical highs while profitability remains resilient

Global insurance growth is moderating in 2026 after a strong 2025, with Swiss Re forecasting slower real premium expansion as economic growth cools and non-life pricing softens. Profitability remains comparatively resilient, supported by investment income and still-healthy underwriting results, although claims inflation and catastrophe exposure remain important risks. Life insurance is benefiting from higher yields, while non-life faces stronger competitive pressure. At the same time, AI infrastructure, energy investment and geopolitical fragmentation are creating new demand pools.

POV

The next insurance advantage may come from deciding faster without pricing risk worse

AI can compress underwriting and claims cycles, but speed becomes dangerous if judgment and governance do not improve with it.

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Our approach

Read insurance through the changing economics of risk rather than beginning with products or distribution channels

Our approach� connects hazard, exposure, pricing, claims, capital, reinsurance and customer behavior to understand where insurance economics are structurally changing. We examine portfolios at sufficiently granular levels to identify where loss trends, concentration or affordability are altering insurability and how distribution or product design affects selection. Technology and AI are evaluated through underwriting, claims and operating implications rather than adoption alone. This allows strategic choices to reflect the complete risk system and the interactions between policyholders, insurers, reinsurers and capital providers.

The data and estimates presented are indicative and intended for illustrative purposes. Actual outcomes may vary based on each company’s specific context, market conditions, operating model, implementation choices, and the quality and consistency of execution, including actions undertaken by the client.

Keypillars

Explore the key pillars that define this capability and shape how we create focused, measurable business impact.

Risk economics

Examines underwriting, pricing, claims, reserving, capital, and investment income across insurance business models

Portfolio dynamics

Connects customer segments, distribution, products, reinsurance, and loss patterns across complex insurance portfolios

Market transition

Tracks climate exposure, digital distribution, AI, regulation, and emerging risks reshaping underwriting and operating models

Is your insurance business adapting fast enough to changing risks, customer expectations and loss economics?

Get in touch with our Insurance team to address evolving risk pools, distribution, technology and operating economics.

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Strategic Framework

Explore our Strategic Framework

Autonomous AI agents are changing how work is executed, enabling adaptive processes that respond intelligently to changing conditions instead of following predefined rules.

Discover our framework
01. Map markets

Assess lines of business, customer segments, distribution, risk pools, capital, claims, and competitive structure

06. Monitor risk pools

Track loss ratios, pricing, exposures, claims trends, regulation, capital, and competitive movement

05. Define choices

Prioritize portfolio, pricing, underwriting, claims, distribution, technology, and capital actions

01 MAP MARKETS 02 TRACE FORCES 03 ASSESS POSITION 04 STRESS SCENARIOS 05 DEFINE CHOICES 06 MONITOR RISK POOLS 6 STEPS STRATEGIC MODEL
02. Trace forces

Examine loss trends, inflation, climate, regulation, technology, capital markets, and distribution shifts

03. Assess position

Evaluate portfolio mix, underwriting economics, claims performance, distribution, capital, and customer relationships

04. Stress scenarios

Test claims, catastrophe, pricing, reserve, capital, regulatory, and demand conditions

How we help

Support insurers as changing risk economics force new choices about markets, products, capital and the boundaries of insurability

We help insurers assess where risk pools and customer needs are changing, how pricing and portfolio economics should respond and where products or distribution models require redesign. Support can include growth and portfolio strategy, climate and catastrophe exposure, underwriting transformation, claims and operating-model improvement, AI adoption, capital and reinsurance choices, market expansion and business-model innovation where traditional coverage becomes difficult to provide at economically or socially acceptable prices.

  • Insurance strategy
  • Property and casualty strategy
  • Life insurance strategy
  • Health insurance strategy
  • Underwriting transformation
  • Insurance pricing strategy
  • Claims transformation
  • Claims fraud strategy
  • Distribution strategy
  • Broker strategy
  • Insurance customer growth
  • Insurance product portfolio
  • Insurance operations productivity
  • Insurance AI adoption
  • Insurance data strategy
  • Catastrophe exposure strategy
  • Reinsurance strategy
  • Insurance capital optimization
  • Climate risk in insurance
  • Embedded insurance strategy

Explore our FAQs

Find answers to the most common questions about this service, including key features, processes, and practical considerations. Explore our FAQs for additional insights and guidance.

Claims inflation, climate exposure, capital costs, technology and changing customer behavior are altering underwriting and distribution economics.

Reassess pricing, underwriting, claims management and portfolio exposure rather than relying on premium increases alone.

AI can support underwriting, claims and service where data quality, explainability and governance meet the risk of the decision.

Combine hazard, location, concentration and pricing data to understand whether risk remains insurable at acceptable economics.

Growth should reflect risk-adjusted returns, capital consumption and diversification rather than premium volume alone.

It lowers some distribution barriers while increasing expectations for speed, transparency and integration into broader customer journeys.

When expected returns no longer compensate for claims, capital or concentration risk and repricing cannot restore acceptable economics.

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Editorial overview

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