Simon Glairy is a distinguished strategist in the insurance and Insurtech sectors, renowned for his expertise in navigating the complex intersection of global risk management and emerging technologies. With a career focused on leveraging AI-driven risk assessment to bridge market gaps, he has become a leading voice on how traditional (re)insurance models must evolve to remain relevant. In this discussion, we explore the shifting dynamics of the protection gap, the critical role of prevention-first services, and the delicate balance between global scale and local market empathy.
While premium growth has surged alongside inflation, the protection gap remains stubbornly wide. How can insurers move beyond simple repricing to address customer confusion, and what specific communication shifts are necessary to transform education into a legitimate growth lever?
The reality we are facing is that the protection gap has stayed flat or even increased despite the surge in premiums, which tells us that repricing alone is a blunt instrument that doesn’t solve the core issue. We have to move past the idea that affordability is the only barrier; often, the real hurdle is a fundamental misunderstanding of what is being covered. To transform education into a growth lever, insurers must shift their communication from dense, legalistic policy wording to transparent, real-world scenarios that resonate with a customer’s daily life. By demystifying how we insure risks that were previously considered uninsurable, we can actually expand the “pie” of insurance demand rather than just fighting over the existing market. This requires a cultural shift where the industry views itself not just as a payer of claims, but as a proactive partner in helping clients navigate their own risk landscapes.
High-frequency incidents, particularly in the cyber sector, can often be stopped before a claim is even filed. What operational changes allow a firm to prioritize prevention services over traditional payouts, and how does this shift the fundamental value proposition for the policyholder?
Shifting to a prevention-first model requires a massive operational pivot, such as integrating specialized firms like BOXX to proactively monitor threats rather than waiting for a breach. When we can stop 95% of incidents before a claim is ever made, the value proposition for the policyholder changes from a reactive safety net to an active shield. This means investing in real-time data feeds and automated alert systems that flag vulnerabilities to the customer before they are exploited. For the policyholder, this creates a sense of security that is far more tangible than a theoretical payout, as it preserves their operational continuity and brand reputation. It turns the insurance relationship into a continuous service contract rather than an annual transaction, fostering much deeper loyalty and trust.
Consumers frequently struggle to distinguish between overlapping coverage types, such as where business travel insurance ends and leisure coverage begins. What practical steps can intermediaries take to clarify these boundaries, and how does improved transparency directly impact long-term customer retention?
Intermediaries play a vital role as the “translators” of the insurance world, and they must take practical steps like creating simplified “gap maps” that visually show where one policy ends and another starts. In the case of travel insurance, a broker should clearly explain the transition from business to leisure activities to ensure the client isn’t left exposed during a weekend extension of a work trip. Transparency here isn’t just about honesty; it’s about providing a seamless customer experience that prevents the “claim shock” that occurs when a policyholder realizes they aren’t covered for an incident they assumed was protected. When customers feel they fully grasp their coverage, their trust in the provider solidifies, which leads to significantly higher retention rates and a lower likelihood of them shopping around based solely on price. We need to remember that a confused customer rarely stays a loyal one, so clarity is our best tool for long-term stability.
Balancing global operational scale with local market relevance is a constant tension for large organizations. How do you determine which capabilities, such as artificial intelligence, should be centralized versus managed locally, and how does this “country-first” approach maintain resilience during global disruptions?
We advocate for a “country-first” model where local teams retain the authority to ensure products are relevant to their specific market nuances, while global operations provide the underlying “engine” for resilience. Centralizing high-cost capabilities like artificial intelligence and large-scale data processing allows us to leverage global diversification and access cutting-edge ideas that a single market might not develop on its own. During the COVID-19 pandemic, this structure proved its worth as global insurers could reroute operations across regions to maintain service continuity when local offices were compromised. This balance ensures that while we have the massive balance sheet and technological power of a global giant, the customer still interacts with a service that feels local and empathetic to their immediate environment. It’s about pooling risks globally to ensure liquidity and capital are available exactly where they are needed during a crisis.
Deploying innovations like autonomous systems requires more than just functional technology; it requires infrastructure and regulatory alignment. What collaborative strategies should firms use to build public trust in these systems, and how does global risk pooling ensure capital remains available for such systemic exposures?
Building trust in autonomous systems is a multi-step process that involves rigorous testing, public education, and constant learning alongside regulators. No single balance sheet can absorb the systemic risks associated with these technologies, so we must rely on global risk pooling to diversify exposures across different geographies and sectors. Collaborative strategies should include cross-industry partnerships that help establish standardized safety protocols and transparent data-sharing practices to reassure the public. We need to align regulations across regions so that innovation isn’t stifled by a patchwork of conflicting rules, which in turn allows capital to flow more freely into these emerging sectors. Ultimately, by demonstrating that we can manage these systemic risks collectively, we create the financial and social “permission” for these life-changing technologies to be deployed at scale.
What is your forecast for the insurance protection gap?
My forecast is that the protection gap will continue to challenge us in the near term, but we will see a narrowing in specific sectors like cyber and health as prevention services become more sophisticated. We are moving toward a future where the definition of “insurable” is expanding because our ability to predict and prevent loss is growing exponentially through AI and better data. However, closing the gap entirely will depend on our success in moving beyond pricing; if we fail to educate the public and build systemic trust, the gap will remain wide despite our technological advances. I expect to see a more collaborative industry where competitors pool data to tackle climate and technological risks, finally aligning the industry’s vast capital with the world’s most urgent, unprotected needs.
