Freeze-related property damage and power outages across 14 states are driving insured losses that could make Fern one of the costliest winter storms on record.

Economists and former tech employees say workforce reductions tied to artificial intelligence often reflect cost cutting and restructuring rather than direct job replacement.

Fitch expects broader P/C softening in 2026, while Morningstar says casualty pricing will stay out of step due to litigation and severity. Early earnings-call commentary shows carriers leaning on portfolio mix, disciplined underwriting, and AI tools to protect margins.

At ITC London 2026, executives said artificial intelligence is exposing weak leadership cultures and forcing insurers to rethink innovation, risk tolerance, and long-standing business models.

New research shows business interruption and system-wide losses from blackouts can dwarf insured property damage, raising questions for catastrophe modeling and resilience investment.

As data center construction surges across the U.S., insurers and adjusters confront unprecedented aggregation of values, supply chain delays, and power-related risks that complicate coverage and claims handling.

A prolonged cyber incident at two major London councils has stalled home sales, highlighting cyber risk and operational dependency in property transactions.

An AI-driven virtual reality training program aims to shorten the learning curve for new claims professionals while addressing the industry’s aging workforce.

BMI warns insurers that territorial disputes, regime instability, and shifting alliances could drive claims volatility across political risk, marine, and specialty lines.

Adjusters discuss why aggressive roofing estimates keep claims open longer and how inconsistency fuels disputes.

Allianz’s 2026 Risk Barometer shows cyber incidents, AI liability, and business interruption reshaping claims exposure across industries worldwide.

As federal agencies scale back climate and weather programs, nonprofit groups are stepping in to preserve datasets critical to catastrophe modeling, insurance claims analysis, and risk mitigation.

As insurers rush to deploy AI agents, new governance, data controls, and decision frameworks are becoming critical to claims accuracy, compliance, and trust.

As automation reduces administrative workload, claims professionals are gaining time to strengthen communication, manage outcomes, and reduce litigation risk through human connection.

As automation expands across insurance operations, claims leaders must ensure AI supports human judgment, collaboration, and professional identity rather than reducing roles to machine oversight.