Global uninsured cyber losses were projected to top $700B by 2030, making cyber the biggest uninsured exposure and sharpening pressure for faster risk adaptation.
Climate-related uninsured losses reached $180B, while liability claims climbed ~60%, combining with cyber pressure to push insurers globally toward new operating models.
Automation could cut costs by up to ~35%, yet AI's production gap remained wide: ~65% used tools daily, but only ~20% scaled.
Core barriers were governance, trust, compliance, and legacy models, driving urgency to shift from reactive claims handling toward continuous monitoring, earlier detection, and intervention.
With personalized services expanding at a mid-30% yearly pace and employers investing more in prevention, insurers using AI and partnerships are expected to lead.
