Click here for the Friday Reading Search, a searchable archive of reading and knowledge resources

Since March 2020, Airmic has been issuing Friday Reading, a curated series of readings and knowledge resources sent by email to Airmic members. The objective of Airmic Friday Reading was initially to keep members informed during the Covid-19 pandemic. Today, Airmic Friday Reading has evolved in scope to include content on a wide range of subjects with each email edition following a theme. This page is a searchable archive of all the readings and knowledge resources that have been shared.

To select multiple categories and/or keywords, use Ctrl+Click (or +Click on a Mac).
Cassi, 28th May 2026
By Keith Dear, Founder and CEO of Cassi, and speaker for the opening plenary of next week’s Airmic Conference – the danger is neither Oracle nor algorithm, but unaccountable predictions.
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WTW, 15th April 2026
By Dean Chapman (FINEX GB) and Ian Cairns (Global FINEX) – Quantum risk is a present business threat; organisations must prepare early with enterprise wide planning to protect data and resilience.
Zurich, 24th March 2026
This article is based on a discussion between Penny Seach, Chief Underwriting Officer at Zurich – the opportunities from Artificial Intelligence (AI) are profound and far-reaching – and yet businesses remain cautious. With concerns about security and reliability persisting, few organizations have moved beyond the experimentation phase. How can insurers leverage AI to responsibly drive value at scale?
Norges Bank, 13th March 2026
Who insures the insurers? In this episode, Andreas Berger, CEO of Swiss Re, speaks with Nicolai Tangen about how reinsurance works and why it matters. They discuss natural disasters, climate risk, and why losses are rising as more people and assets move into high-risk areas. Berger explains how Swiss Re uses data and technology to understand risk, prevent damage, and decide what can – and cannot – be insured.
Fortune, 1st June 2026
Two months ago, Goldman Sachs economists estimated that artificial intelligence was wiping out roughly 16,000 net US jobs per month, with entry-level and young white-collar workers bearing the brunt. Goldman’s latest AI Adoption Tracker puts that net figure at around 11,000 jobs per month.
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Department for Work & Pensions, 28th May 2026
The Alan Milburn report released last week on young people who are not in education, employment or training (NEET) – evidence is still emerging and it would be premature to treat AI as a major cause of the current NEET problem. But it would be equally mistaken to ignore it. A technology that changes the content of work across large parts of the economy is likely to affect the jobs through which many young people have traditionally entered employment.
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KPMG, 25th March 2026
Rather than resisting the ways AI is transforming work, Gen Z is leaning into the shift. Interns report that AI is already embedded in their day‑to‑day work, with nearly 30% of current assignments involving some level of AI assistance, and they expect strong AI skills will garner an estimated 9% premium for entry‑level compensation.
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WTW, 19th March 2026
See how early adopters are using AI to elevate human judgment and creativity.
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Harvard Business Review, 28th January 2026
When it comes to gen AI, the habits, attitudes, and ideas of Gen Z are a harbinger of the future of work. Most members of Gen Z use gen AI and, contrary to conventional wisdom, Gen Z’s relationship with these tools is more pragmatic than personal.
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Sedgwick, 18th June 2025
To unlock Gen Z’s full potential, we need to evolve how we lead. Here are five key shifts to embrace.
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