The exposure concentrates wherever a generative system makes checkable factual claims about identifiable third parties or customers, and where the output is presented as a finished answer rather than a draft. That description fits a substantial portion of current insurance AI deployments – a customer-facing chatbot that summarizes a policyholder’s coverage, an AI tool that generates an eligibility determination, a claims assistant that produces a settlement recommendation, an underwriting copilot that drafts a risk assessment of a named business. In each case, the system is doing what the Munich court described as authorship: rewriting, combining, and evaluating source material into a new substantive statement. And in each case, if the statement is wrong and a third party is harmed, the intermediary defense – “it’s the model, not us” – has just been substantially weakened.
What the Munich Google ruling means for insurers
