A few years ago, a homeowner walking into an insurance conversation was a lot like a patient walking into a doctor's office. They knew something was wrong (or at least expensive), but they mostly deferred to the expert. The agent explained coverage options, translated policy language, and guided the decision. The homeowner nodded along and signed.
That dynamic is breaking down. A growing number of homeowners are doing research with AI before they ever talk to a human agent. According to the 2026 Hippo Housepower Report, 54% of homeowners plan to use AI to check whether they're paying a fair price, 48% to compare providers and policies, and 40% to better understand their policy.
Much like patients who Google their symptoms before showing up at the clinic, homeowners may not have the diagnosis right, but they have the vocabulary. They're arriving with more context, more specific questions, and higher expectations for speed and transparency than they had even two years ago.
The natural question is how far this goes. If consumers are already using AI to research coverage and compare carriers, will AI eventually handle the entire transaction? Some agencies are already building toward that, but the industry isn't ready for a fully autonomous buying experience. The regulatory, financial, and psychological infrastructure to support it doesn't exist yet.
The last mile stays human
Even with all of that AI-assisted research, the final purchasing step will remain a human interaction for a long time. When it comes to big purchases or signing on the dotted line, consumers want to be able to look someone in the eye. They want a person to put an arm around their shoulder and say, "Yes, this is the right policy. You're covered."
Think of it like booking a complex international trip. Most people will spend hours researching flights, hotels, and visa requirements online. But when the itinerary gets complicated, plenty of people still pick up the phone and call a travel agent for that final confirmation. The AI does the legwork, but a human closes the loop.
Beyond that psychological barrier is the legal one. In most states, core insurance functions like binding coverage, providing advice, and serving as the agent of record are non-delegable duties that require a licensed human. AI sophistication won't change that in the near term.
The National Association of Insurance Commissioners (NAIC) adds a regulatory layer. As of early 2026, 25 jurisdictions have adopted its Model Bulletin on the use of AI systems by insurers, and another four states—California, Colorado, New York, and Texas—have their own insurance-specific regulations.
On top of that, payment companies are still uneasy about sensitive credit card or EFT information flowing through AI, even with tokenized digital wallets. Carriers also need to modernize the underlying technology stacks, data systems, and APIs that agents already rely on. Layering agentic capabilities onto outdated or unreliable infrastructure will only create more friction and make it harder for agents to trust the technology enough to use it.
Gen Z homeowners are already far more comfortable with AI in their insurance decisions than older cohorts. But for now, the human at the end of the buying process provides reassurance that AI cannot replicate at scale.
Who's liable when the AI agent gets it wrong?
Independent agents are already hiring technology companies to build AI chatbots that handle initial consumer conversations, run quotes, and present coverage options. The technology works. What's unresolved is who's responsible when that bot gets something wrong.
Let's say an agent deploys an AI tool built by a third-party vendor. That tool runs a quote, explains coverage, and presents a recommendation to a consumer. The consumer buys the policy. Six months later they file a claim, and the AI-recommended coverage had a gap.
The mistakes are easy to imagine. AI may draw attention to key coverages, but not that requirements and policy language vary by county, or that some carriers in a region build that coverage into the base policy while others exclude it entirely. It can look up a flood zone but misinterpret whether their property sits on the edge of one, or that the distinction can change based on drainage and slope. And replacement cost—one of the most important numbers in a homeowners policy—depends on regional labor rates, local building codes, and material costs that fluctuate with supply chains. An AI tool pulling from general data is likely to get that number wrong, or differently than an insurance company.
So who owns the gap? The tech company that built the bot? The agency that deployed it? Or is there a disclaimer at the bottom of the screen that says the onus is on the consumer? For human error, the answer is settled. Agents carry errors and omissions insurance for exactly this reason. None of that infrastructure exists yet for AI agents. These questions will get worked out in the courts, slowly, and until they do, anyone deploying consumer-facing AI is carrying a risk that's difficult to quantify and impossible to fully insure against.
The new visibility problem
If you're a carrier and you're not thinking about how AI-assisted shopping will affect your visibility to consumers, think about what happened with search engine optimization. Companies that ignored SEO a decade ago disappeared from Google results. They were invisible to the vast majority of consumers, regardless of the quality of their product. The same dynamic is starting to form with AI.
As more homeowners begin their insurance research with an AI tool, carriers that win will be the ones that are prepared for it, with clearer coverage language, accessible APIs for AI tools, and structured product information. The rest risk being left out of the conversation entirely.
The homeowner sitting across from an independent agent today is more informed and more specific in their questions than they were three years ago. AI is a big part of why. The industry's job is to meet consumers where they are and to be clear about where AI ends and experienced human judgment begins.
