Webinar: New Addictions, New Claims: Analytics Tools for the Next Casualty Frontier 2026
Addictions are no longer limited to drugs and alcohol. Clinical research now flags “digital addiction” as a global concern and finds roughly 1 in 7 older U.S. adults meets the criteria for addiction to ultraprocessed foods.
Whether it’s an AI chatbot encouraging someone to commit suicide or person physically harmed by overindulging on chemically-laden processed food, products built to be addictive are opening the door to new lawsuits and liability theories, with insurers squarely in the path of the next wave of claims. Insurers can no longer rely on historical data to manage these new liability theories, class actions and casualty claims.
Join Insurance Insider, in partnership with Moody’s, for a free webinar on September 24 at 10:30am ET/3:30pm BST to explore how forward‑looking analytics can help insurers better understand, price, and underwrite the very features that keep people hooked on digital platforms and ultra processed foods.
Discussion questions
- Overview: What are these emerging addictive products?
- What is the current loss landscape around addictive software liability and ultra processed food?
- How are insurers currently underwriting these risks?
- What are the biggest blind spots insurers face when using historical data to understand addictive software and AI companions?
- What types of risks are the most concerning in terms of potential liability claims?
- How can underwriters and brokers practically integrate these advanced analytics into day‑to‑day decisions, such as pricing, limits, exclusions, or risk selection?
- As verdicts and lawsuits evolve, how might liability theories around “addictive” or “manipulative” designs change, and what should carriers and brokers be watching for in the next 12–24 months?
Speakers
- Adam Grossman, SVP, Emerging Risk, Moody’s
- Nikita Kuksin, Director, Swiss Re
- David Bassi, Managing Director, Guy Carpenter
- Mary Horsch, Senior VP, Nationwide Insurance
- Meg Green, Senior Editor, Insurance Insider (Moderator)
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