AI is poised to reshape the global insurance landscape far beyond prior waves of digitization, and as someone who has spent years navigating both the technical and strategic sides of risk management, I see this as a pivotal moment for our industry. We’re confronting four persistent pressures: waning relevance, burdensome distribution, stagnant productivity, and a traditionally slow pace of change. The most immediate opportunity lies in closing protection gaps. Insurers are now considering AI’s impact on emerging risks—such as liability for AI-driven decisions, nonphysical business interruption, and continuous risk monitoring—while also leveraging richer data to better price complex exposures.
But the path forward demands rigor. Digital risks tend to be highly correlated, and without robust analytics, there’s a real danger in pursuing premium growth before truly understanding the risk structures beneath. The upside is compelling: we’re already seeing onboarding costs drop by 20% to 40% and agent productivity up by 10% to 20% through AI-driven efficiencies.
Looking ahead, the winners will be those who either achieve real scale or carve out deep specializations—something I’ve long believed is essential in risk advisory. Notably, AI leaders in our sector have delivered shareholder returns six times greater than the laggards. For those of us advising business clients, staying at the forefront of these shifts isn’t just about adopting new tools—it’s about fundamentally redefining how we approach risk and opportunity.
