Unfiltered with Matt & Nige Podcast
Unfiltered with Matt & Nige | Episode 14 đïž Everyone wants to talk about AI changing insurance.But insurance is still insurance. Distribution is hard.Claims are hard.Profitability is hard. Well, hard to get to. And this week, Corgi became the place where all of that came together. Not the dog. But rather the VERY highly valued insurance business that has everyone talking. But the question is whether this is a genuinely new playbook, or the same playbook we saw 10 years ago, just with better technology, bigger numbers, and a much louder AI market wrapped around it. TLDR: hype can be useful. It brings capital, talent and ambition into an industry that needs all three. But hype does not pay claims, fix distribution, or make insurance easy. This week on Unfiltered, Matt and Nigel get into: * Corgi, valuation madness, and whether the hype is useful or dangerous * Why insurance is still hard, even when the tech is better * Job losses, AI adoption, and the messy gap between ambition and reality * Europe, sovereign AI, Mistral, model choice, and whether the UK can compete * Token maxing, automatic model selection, and why most people will not want to âchoose a gearâ Corgi, hype, and the insurance problem Matt has been going deep on Corgi. Partly because the valuation is wild.Partly because the culture is divisive.Partly because the insurance question underneath it is genuinely interesting. If a business has not had claims yet, of course the early economics can look strong. But insurance is not judged at the moment you collect the premium. It is judged when the model has to hold up. That is where Nigel brings it back to the simple point. Insurance is still hard. Technology is better than it was 10 years ago.Execution may be easier.But distribution, affordability, the protection gap, customer understanding and claims do not disappear because the story is exciting. Hype is not always bad This is the bit that matters. It is easy to roll your eyes at hype. But hype also pulls people in. Investment.Talent.Entrepreneurship.Creativity.The belief that something better is possible. In an industry full of legacy, that is not nothing. The challenge is separating useful ambition from fantasy economics. That is the line. The AI gap is getting messy Nigel is worried about the gap. Not the long-term AI future.The bit in the middle. Companies are already cashing in on the promise of AI before the technology is properly embedded across the enterprise. That creates human toil. People managing silos.People stitching tools together.People trying to manage an autonomous workforce that does not yet behave like a proper workforce. His point is simple. For the next three to five years, large organisations may need more people, not fewer, to make this work. Matt is less convinced. Still slightly in the ârobots might take everythingâ camp. Which is fair. Europe, models, and the sovereignty question Then the conversation moves into the model race. Have Europe and the UK already lost it? Most of the frontier model power is in the US.China has its own.Europe has Mistral. But the bigger question is control. If the models, infrastructure and training data sit elsewhere, what does that mean for European companies, governments and regulated industries? Nigel sees sovereign AI becoming a strategic asset. Not every task needs the best frontier model. Some tasks may need a local model.A national model.A regulated model.A model trained for a specific context. That feels very insurance. Layers.Controls.Right tool for the right job. Manual cars and automatic AI One of the best analogies in the episode is manual vs automatic cars. Nigelâs son is learning manual because, in theory, it gives him more options. But most people do not want to think about gears. The same will probably happen with AI. Most people will not choose the model. They will ask the question, and the application layer will choose the right model underneath. Recipe? Use the simple one.PhD-level reasoning? Use the serious one.Insurance research? Route it properly. That is where this gets interesting. The communications problem Nigel also brings back the AI backlash point. Data centres.Job losses.Executives using phrases like âlow-value human capital.â That is not a technology problem. That is a communications problem. These are people.Families.Mortgages.Careers. If the industry wants people to come with it, it needs a better story than âefficiency.â The human ending Matt is preparing for Hyrox Worlds and seems genuinely, dangerously excited. Nigel is off for a Neko scan and preparing to feed the results into his Health OS. Matt has had a Sunday roast in 21 degrees because that is what Brits do. Nigel is barbecuing, probably in the rain. These boys. Living the life. The big takeaway Insurance is still hard. AI does not remove that. But it might change who can move fastest, who can execute best, and who can turn hype into something real. Subscribe for more Unfiltered every week đïž This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit unfilteredwithmattnige.substack.com [https://unfilteredwithmattnige.substack.com?utm_medium=podcast&utm_campaign=CTA_1]
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