This quarter’s edition brings together new research on some of the most pressing and complex risk issues shaping today’s insurance landscape – from the fragility of global supply chains and food systems, to the intensification of seasonal climate extremes and the fast-evolving role of AI in underwriting and liability. Each of these themes carries profound implications for how risk is transferred, priced, and managed.
The newly published WTW Global Supply Chain Risk Report 2025 sets out the growing challenges facing interconnected trade and logistics systems — and the downstream implications for insured loss potential, contingent business interruption, and risk accumulation. With insurers under pressure to understand exposure across increasingly globalised value chains, this research provides critical context, identifying actions that can enable organizations to innovate responsibly while reducing carbon emissions and energy use.
We also share the latest WTW Risk and Resilience Review: Feeding the Future, which highlights the mounting pressures on food systems from climate, conflict, and resource volatility. For (re)insurers, this raises new questions about protection gaps in agricultural risk, food-related supply chain disruption, and the scalability of insurance-based solutions to support food resilience at national and sectoral levels.
As the hurricane season approaches, and with ocean temperatures at record highs and model outlooks pointing to heightened activity, our recent Hurricane and Seasonal Forecasting Event outlined what to look out for this year. The next event from our Natural Catastrophe Program, on the 17 July will discuss the sometimes-overlooked threat of earthquake clusters with Salvatore Iacoletti (Catastrophe Research Lead at AXA XL), Tiziana Rossetto (Professor of Earthquake Engineering, Delft University of Technology), and James Dalziel (WTW’s Head of Earth Risk Research). Registration is available here.
Finally, we examine emerging work from the WRN on AI and risk frameworks. Our latest research looks at the potential liability implications of generative AI adoption, and tracks the growing competition — and concentration — within the LLM ecosystem. As insurers consider both the operational efficiencies and exposure risks associated with AI, our work aims to inform the future structure of risk models, regulatory expectations, and underwriting approaches.
Table of Contents
Also of interest
- Reducing AI risk using human-focused metrics
- Key elements of the 2024 Pacific typhoon season: Shanshan, Yagi and the Philippine storm cluster
- South Asian flooding highlights risks of an increasingly intense and erratic monsoon
- Bridging the gap between risk and insurance: Operational resilience and scenario testing
- Managing hyper-volatility: How to outsmart amplified climate and geopolitical risks
- Global Clean Energy Survey 2025 Report
- Wildfires and the telecom industry: Strategies for effective risk management
- Emerging & Interconnected Risks Survey: Navigating a complex risk landscape – United Kingdom overview
