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Willis: Leaders must move from caution to control as AI reshapes risk and resilience

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Willis (NASDAQ: WTW) reports that rapid AI adoption is reshaping how risk is priced, underwritten and managed, while outpacing existing governance. AI is now embedded in underwriting, claims, cyber defence and operational decisions, raising new questions around accountability, liability and insurability.

Over 700 million people use leading AI systems weekly, driving a market shift toward clearer AI risk coverage and affirmative AI wording. Rising global cybercrime costs, projected at US$10.5 trillion annually by 2025, are increasing demand for AI‑enhanced threat detection and stronger governance frameworks.

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AI-generated analysis. Not financial advice.

Positive

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Negative

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Key Figures

AI weekly users: more than 700 million people Global cybercrime costs 2015: US$3 trillion Projected cybercrime costs 2025: US$10.5 trillion annually
3 metrics
AI weekly users more than 700 million people People using leading AI systems every week
Global cybercrime costs 2015 US$3 trillion Estimated global cybercrime costs in 2015
Projected cybercrime costs 2025 US$10.5 trillion annually Projected annual global cybercrime cost by 2025

Market Reality Check

Price: $254.04 Vol: Volume 614,897 vs 20-day ...
low vol
$254.04 Last Close
Volume Volume 614,897 vs 20-day average 962,589 (relative volume 0.64). low
Technical Price $254.04 is below 200-day MA of $311.65 and 27.99% below 52-week high.

Peers on Argus

WTW is down 0.9%. Key peers are also modestly lower: AON -0.98%, AJG -1.06%, MMC...

WTW is down 0.9%. Key peers are also modestly lower: AON -0.98%, AJG -1.06%, MMC -1.36%, ERIE -0.94%, BRO -0.21%, suggesting a generally weak broker tape without high-momentum sector flow.

Previous AI Reports

5 past events · Latest: May 20 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
May 20 AI skills survey Positive -0.7% Survey on employers prioritizing AI and customer-focused skills in Q1 2026.
May 19 AI benefits survey Positive +0.4% Survey on rapid expansion of AI use in health and benefits despite execution gaps.
May 06 AI pay report Neutral -2.7% Report on global divergence in AI and digital pay across multiple countries.
Apr 27 AI leadership roles Positive +0.6% Appointment of Chief AI Officer and Head of AI Acceleration to scale AI capabilities.
Mar 30 EMEA AI restructure Positive +2.7% EMEA structural changes to deepen expertise and accelerate AI-driven innovation.
Pattern Detected

Recent AI-related announcements have produced small, mixed price moves, with most reactions modestly positive but one notable negative divergence.

Recent Company History

Over recent months, WTW has issued several AI-focused updates, including leadership appointments to drive enterprise AI, EMEA restructuring to accelerate AI innovation, and multiple surveys on AI skills, pay and benefits adoption. Market reactions to these AI releases have generally been modest, with moves between about -2.72% and +2.67% over the last five tagged events. This backdrop frames the new Willis AI risk and resilience report as another step in WTW’s ongoing AI narrative rather than a standalone inflection.

Historical Comparison

+0.1% avg move · In the past few months, WTW has released multiple AI-tagged updates with an average move of 0.05%, i...
AI
+0.1%
Average Historical Move AI

In the past few months, WTW has released multiple AI-tagged updates with an average move of 0.05%, indicating that AI-themed news has typically driven only modest share price reactions.

AI-tagged news has evolved from structural leadership and regional changes to detailed surveys on AI skills, pay, and benefits, now extending into Willis’s thematic analysis of AI-driven risk and resilience.

Market Pulse Summary

This announcement highlights Willis’s view that AI is reshaping how risk is priced and governed, wit...
Analysis

This announcement highlights Willis’s view that AI is reshaping how risk is priced and governed, with more than 700 million weekly AI users and cybercrime projected at US$10.5 trillion annually by 2025. For WTW, it extends a series of AI-tagged updates on strategy, leadership and surveys. Investors may watch how WTW translates these insights into underwriting standards, cyber offerings and governance solutions, especially while the shares trade below the $311.65 200-day MA.

Key Terms

underwriting, governance frameworks
2 terms
underwriting financial
"embedded across underwriting, claims, cyber defence, and operational decision-making"
Underwriting is the process where a financial institution agrees to buy and then resell new stocks or bonds to investors. It matters because it helps companies raise money quickly and smoothly, while the bank takes on the risk of selling those securities at the agreed price. Think of it like a booker guaranteeing to sell all tickets for a concert before opening the doors.
governance frameworks regulatory
"strengthening underwriting requirements tied to governance and control frameworks"
A governance framework is the set of rules, roles and processes that determine how a company is run, how decisions are made and how risks and responsibilities are checked. For investors it matters because a clear, well-enforced framework works like a referee and rulebook—reducing surprises, protecting shareholder interests and increasing the chance that management’s choices create steady value rather than hidden losses or conflicts of interest.

AI-generated analysis. Not financial advice.

LONDON, May 28, 2026 (GLOBE NEWSWIRE) -- AI is rapidly reshaping how risk is understood, priced and managed, but the rate of adoption is outpacing existing AI governance frameworks. New research from the latest Risk and Resilience review by Willis, a WTW business (NASDAQ: WTW) highlights how AI is being embedded across underwriting, claims, cyber defence, and operational decision-making. This growing integration is introducing new challenges around accountability, liability and insurability.

The challenge now facing businesses is the responsible adoption of AI. Many organisations are already relying on systems they cannot fully interrogate, placing trust in outputs that are not always challenged. The result is a subtle yet significant shift in how risk is created, distributed and, in some cases, amplified.

Key takeaways include:

  • AI is already embedded across underwriting, claims, and cyber defence: Exposure is already building across multiple lines, while questions of liability, accountability and insurability are still being worked through. More than 700 million people now use leading AI systems every week, embedded into operational infrastructure, shaping customer interactions and executive decision-making.
  • Market shift towards clearer AI risk coverage: The insurance market is diverging, with some insurers and brokers still relying on traditional policy wording and “silent AI” assumptions, while others are introducing affirmative AI cover and strengthening underwriting requirements tied to governance and control frameworks.
  • AI risk is becoming a governance and liability issue: Some of the most immediate impacts of AI are being seen in core insurance processes. It is no longer a primarily technology issue; it has become a governance, liability and insurability challenge spanning legal doctrine, regulation, and operational oversight.
  • The role of risk leaders: Cyber risk is becoming more adaptive and harder to benchmark: global cybercrime costs have risen from roughly US$3 trillion in 2015 to a projected US$10.5 trillion annually by 2025, increasing pressure on organisations to adopt AI-enhanced threat detection and continuous cyber monitoring.

Spike Lipkin, Chief AI Officer, Willis, said: “AI is already reshaping the risk landscape in real time, but many organisations are moving forward without fully understanding the systems they rely on. That creates a dangerous gap between innovation and oversight. Business leaders need to recognise that this is no longer just a technology issue, but a governance, liability and trust challenge. Those who stay passive risk falling behind both in resilience and competitiveness. Leaders must be vigilant, challenge outputs, and invest in robust governance frameworks that bring transparency and accountability to how AI is deployed.”

The full report can be downloaded here.

About WTW 

At WTW (NASDAQ: WTW), we provide data-driven, insight-led solutions in the areas of people, risk and capital. Leveraging the global view and local expertise of our colleagues serving 140 countries and markets, we help organizations sharpen their strategy, enhance organizational resilience, motivate their workforce and maximize performance.

Working shoulder to shoulder with our clients, we uncover opportunities for sustainable success—and provide perspective that moves you. 

Media contact
Lauren David
Lauren.David@wtwco.com / +44 7385 947619


FAQ

How is AI changing risk and resilience according to Willis (WTW) in May 2026?

AI is changing risk and resilience by deeply embedding into underwriting, claims, cyber defence and operations. According to Willis, this shifts how risk is created, distributed and sometimes amplified, making governance, liability and insurability central board-level issues rather than purely technology concerns.

How widely used are AI systems according to Willis (WTW)'s Risk and Resilience review?

According to Willis, more than 700 million people now use leading AI systems every week. These tools are embedded in operational infrastructure, shaping customer interactions and executive decision-making, which increases both dependence on AI outputs and the need for robust governance and control frameworks.

What does Willis (WTW) say about AI and cyber risk costs by 2025?

Willis links AI and cyber risk to fast-rising cybercrime costs, projected at US$10.5 trillion annually by 2025. According to Willis, this trajectory is pressuring organisations to adopt AI‑enhanced threat detection and continuous monitoring to keep pace with increasingly adaptive and hard‑to‑benchmark cyber risks.

Why does Willis (WTW) call AI a governance and liability issue, not just technology?

Willis calls AI a governance and liability issue because its biggest impacts now appear in core insurance and operational processes. According to Willis, AI spans legal doctrine, regulation and oversight, requiring leaders to challenge outputs and invest in transparent, accountable AI governance frameworks.

What actions should risk leaders take on AI governance according to Willis (WTW)?

Risk leaders should move from passive caution to active control over AI deployment. According to Willis, leaders need to challenge AI outputs, invest in strong governance frameworks, clarify accountability, and align insurance coverage with explicit AI controls to support resilience and competitiveness.