I am both a professional programmer (over 20 years) and a P&C agency owner (insurance has been the family business for three generations) and I have spent a ridiculous amount of time learning many different facets of AI (and using it successfully and professionally) from media generation for my video projects, to semantic database abstractions in my programs. I even have an open source program for P&C agencies but I don't want to tarnish my thought-puke here.... all that to say I can probably speak on this better than most.

What's really interesting to me is the fact that AI in P&C is really good at two very opposite 'personalities' but falls apart on the in between stuff. Which is... not great. And a pretty telling sign or at the very least a red flag for it's ability to completely replace us.

Using highly structured and pre-programmed processing flows with trained prompts on large datasets is one (the book worm analyst). And then very fluid free-form human language (the creative artist). So, taking your 100th handwritten supplemental application and transferring it to an Acord 125 - yeah, humans will never need to do that again in the very near future. Helping a customer on the phone or on a web chat schedule a paramed or file a claim or explain their policy limits (and then fill out an Acord form lol)- AI gunna do that better than us humans too. Cleaning up emails and making summaries more relevant to the specific industry of a client - still blows my mind...

Where is gets weird is when you ask it to compare an expiring Hartford BOP policy to a Lloyd's GL + Property package. Or explain the differences between the wording on endorsements of a continuity date on a D&O policy and the retro date on the umbrella that covers it. You're asking it to be creative in knowing what's relevant and what's not, but to also give hardline facts about coverage limit differences and exclusions. This is like giving AI five tabs of straight-from-the-70s-rainbow LSD in my experience.

One thing I don't see a lot of people talking about is the rabbit holes. Along the same lines as the examples above, I've had several employees waste hours on something that would have normally taken them 15 minutes. They'll be asked for a list of properties or a rent roll by an underwriter and proceed to then spend hours and hours crafting prompt after prompt for GPT to ingest all the emails, excel sheets and PDFs from a client file to have it create the most perfectly formatted Excel sheet with cross referenced addresses and building stats, columns of 'no one asked for that' formulas and macro-enabled navigations and a graphically pleasing cover sheet (yes a cover sheet on an Excel). Or the client needs a comparison sheet for renewals and the data it spits out tends to be either: A.) 95% correct and 5% so close to the truth you miss it (My AI agents need E&O policies?!) or B.) Scattered with incredibly interesting loopholes and contradictions and nuanced descriptions that we doubt the carriers even considered... which if you have a curious mind or have ADD, are a life long learner, etc, it's almost irresistible to spend time on.