Insurance-Linked Securities Sector Positioned to Gain From AI Adoption
The catastrophe bond and insurance-linked securities sector stands to benefit significantly from advances in artificial intelligence, industry executives said at the SIFMA ILS conference in Miami last week. Applications include process improvements, enhanced underwriting, and better analytics.
Bobby Bray, Senior Vice President of Insurance-Linked Securities Origination and Structuring at GC Securities, said the ILS sector has been slow to adopt AI but remains in early stages of implementation. "Given the vast amounts of data involved and the reliance on key models, we have the opportunity to become the biggest beneficiaries of the AI revolution," he said.
Where AI Can Add Value Now
Bray identified immediate applications in the catastrophe bond market, particularly in speeding up structural processes and managing documentation. Tasks like adding or removing a class from an offering circular-work that can consume several nights for an associate-could be completed with a single click using AI tools.
Richard Gray, Head of Third-Party Capital at Beazley, said the company is using AI for routine data entry and administrative work. "Although we can use it for boring data-entry processes which are less painful for human beings and much quicker, we still need human beings to check that work," he said.
Gray cautioned against overstating AI's current capabilities. "It's not a silver bullet, certainly not yet and certainly not given the constraints of the process," he said. Beazley does not plan to use AI to draft legal documentation for ILS deals.
Broader Applications Under Development
The panellists discussed potential improvements in catastrophe models and weather forecasting for property perils. The industry is also exploring how to deploy ILS capital toward supporting data centre buildouts needed for AI infrastructure.
Bray said that as AI adoption grows, applications will expand beyond administrative tasks. "The world is our oyster, I think we can do a lot with it," he said.
For professionals in insurance, understanding AI for Insurance and AI Data Analysis can help identify where these tools fit into current workflows and risk management strategies.
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