The newest revolution
Underwriting once relied entirely on manual work, paper files, and personal judgment. Each decision carried weight, shaped by experience and deep knowledge. When technology emerged in the 1980s and automation followed in the 1990s, many feared it would replace human insight.
But change brought opportunity.
In recent decades, technology has empowered rather than replaced underwriters. Today, digital tools handle routine tasks, freeing professionals to focus on complex cases. Access to medical data and electronic records enable faster and more accurate risk assessment.
Underwriters have evolved into strategic thinkers, designing solutions, guiding decisions, and adding more value than ever before.
In technology, inflection points refer to periods of change. Today, the emergence of artificial intelligence (AI), machine learning (ML), and automation constitute another inflection point in the industry. Predictive models that identify anomalies, automated engines that evaluate simple risks in mere seconds, and the availability of global databases have radically transformed the landscape.
As is tradition, this inflection point brings familiar questions: Will machines replace underwriters, and will skills acquired over years suddenly become obsolete?
History provides the answer.
What history tells us
With the passing of each technological wave, fear for the future crashes over our industry. Yet in hindsight, the role of people has increased – not decreased – with each successive wave. This new digital era will see technology become an even more powerful and valuable partner, handling routine data checks and pattern recognition, while freeing underwriters to focus on higher-order thinking, client context, and strategic decision-making. Underwriters will still interpret the ambiguity, engage with the client, and balance the risk with commercial viability.
History shows that change does not mean underwriters need to unlearn what they have learned, but rather that they need to prepare themselves for this change. It calls them to embrace new learnings, continually improve themselves, and understand the value of AI in their everyday tasks.
The opportunities ahead are extraordinary. The shift to more complex decision-making will enable new areas of expertise to emerge, such as management of genetic underwriting risks, pandemic underwriting, and cyber-related health exposures, all of which will require underwriters to think more strategically – and to increase their AI knowledge. AI upskilling will be crucial to growth.
Automation will enhance collaboration, bring greater speed and precision to client service delivery, and create numerous opportunities for personal growth, leadership development, and innovative projects.
In fact, it is already happening.