Gallagher Re flags AI liability and cyber risks in final 2026 report

Gallagher Re used its Global InsurTech Report for Q1 2026 to mark a turning point in insurance AI. The firm framed the report as the final installment in a three-part AI series, and that alone made it read less like a market update and more like a checkpoint on where the sector goes next. Earlier editions had tracked AI across the insurance value chain and then across major lines such as auto, property, commercial and life. This final edition pushed the conversation toward the consequences of AI, not just the use cases.

That shift matters because Gallagher Re is now treating AI as something insurers may have to underwrite, not just deploy. The report highlighted AI liability, cyber insurance and the growing overlap between digital delegation and technology infrastructure as the pressure points that will shape the next phase of insurtech. For property and casualty software vendors, that raises the bar. Speed and automation are no longer enough if a platform cannot support explainability, governance and auditability when an underwriting decision, claims workflow or risk model comes under scrutiny.

Gallagher Re also anchored the discussion in the longer history of digital and cyber risk. Since 2012, insurtech firms in those areas have raised $5.77 billion across 263 deals, according to the report. That matters because it shows the market has spent more than a decade building tools around cyber exposure, analytics, underwriting and claims infrastructure. The current AI wave is not arriving in a vacuum. It is being layered onto a pre-existing stack of risk decisioning systems that already have to answer to insurers, reinsurers and regulators.

The bigger signal is capital discipline. The report suggests the industry is moving past the question of whether AI can be used and toward the harder question of what new liabilities it creates. That includes the possibility that a model failure, a governance gap or a delegated digital process could trigger losses that look more like operational risk, technology risk or cyber risk than a simple software bug. In that environment, the vendors that win will be the ones that can operationalize AI without creating new exposure, and the insurers that keep pace will be the ones that can price, control and reinsure it with confidence.