AI is entering insurance the same way cyber did a decade ago. It gets written into policies quietly, with no real data behind it, until the claims start coming and the carriers react by excluding the risk. That exclusion opens a gap, and MGAs and specialists move into it faster than the incumbents can price their way back.
That prediction comes from Susan Holliday, our first guest, who has watched this exact pattern play out twice from the capital side of the trade. In this episode she explains why the exclusion cycle repeats by design, why an abundance of historical data can be a false sense of security when the data is no longer relevant, and where the adoption of AI actually breaks: not at the board or the C-suite, both of which she describes as eager for it, but in the operational middle, at the point where the work has to be implemented. It is the same place digital transformation failed.
Susan also shows the pattern is fixable, not just diagnosed. She was part of restructuring Swiss Re into a holding company with per-division accountability, a change her legal team first called impossible, and she describes what it took: senior conviction and a genuine mindset change, not a new org chart alone.
Susan Holliday is currently a public and private company board member and advisor.
An episode where the data meets the risk from both ends of the same pipe.
Kevin Henderson has spent 20+ years in telematics and sensor data, including processing billions of miles of telematics data across multiple continents, when he took what was then the world’s largest commercial fleet telematics dataset from zero monetization to revenue. He is a published contributor to Carrier Management with multiple Editor’s Pick recognitions.
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