Digital transformation and AI are expected to shift during 2026 in three key ways: from off-the-shelf solutions to customized programs, from efficiency tools to AI-driven workforce collaboration and from task-based capabilities to end-to-end orchestration. These developments introduce new systemic risks, where failures in AI-driven processes can cascade across entire operations, requiring insurers to design coverage for algorithmic liability, data integrity and workflow resilience.
Risk managers that adopt holistic, continuous oversight and integrate real-time monitoring and adaptive modeling to address bias, drift or regulatory changes will be successful. As risks become more interconnected, strategies emphasize resilience engineering, redundancy and human oversight. Underwriting will increasingly assess governance and collaboration practices for AI, with premiums tied to organizational resilience and compliance.
Act now
- Bring expertise to your board: Consider identifying AI experts to join your board to advise on the risk and opportunities. This expertise could include outside help/third party education for board members.
- Manage talent: Ensure AI and digital can be fully operationalized by accelerating succession planning, tightening role definitions and launching targeted recruitment to secure the talent required for impact.
- Monitor regulatory shifts: As state, federal and international rules for AI usage rapidly emerge, organizations must understand the regulations in their operating regions and remain mindful of changes to ensure compliance.
- Review third-party contracts: Ensure contracts covering AI usage clearly define data sharing, intellectual property (IP) ownership, liability, insurance, security controls and regulatory compliance requirements.
- Conduct a risk assessment: Update your risk management profile, starting by conducting an AI risk assessment that defines key terms, inventories tools and dependencies, reviews governance policies and documents data usage to identify and mitigate risks. Read Gallagher's recent article on artificial intelligence risk management.