The rise of direct-to-consumer platforms, the speed of digital underwriting, and now the growing influence of artificial intelligence (AI) all seem to point in one direction – away from the traditional agent-driven model in personal lines. At first glance, the data appears to support that narrative. Over the past two decades, personal lines distribution has shifted meaningfully toward direct and digital channels. Consumers can now quote, bind, and service policies without ever interacting with a real person. For price-driven products like standard auto or renters’ insurance, the process has become fast, efficient, and increasingly commoditized.
But when it comes to predicting the impending death of personal lines, there are some vital nuances that often get overlooked – and the impact of AI may not be what people assume.
Digital adoption plateaued
It’s tempting to view the decline in agent-facilitated personal lines sales as eventually bottoming out at zero. But that’s simply not the case. While the movement toward purchasing personal insurance products digitally did rise steadily for some time, the trend has not approached anywhere near 100%. Instead, it has leveled off, reaching a relatively stable share of the market at around 60% (as of 2024). Independent agents placed 39% of all personal lines’ premiums in 2024. That percentage was essentially unchanged from 38.7% in 2023 and actually up from 35.7% in 2020.1
This trend raises an interesting question: If digital distribution has already captured its natural audience and plateaued, how much will AI realistically alter that?
AI is now making a new type of inroad
AI will undoubtedly continue the digital trend of making insurance transactions less expensive and more efficient. It will streamline quoting, handle service requests, and even allow customers to shop across carriers without visiting multiple websites. A single prompt on any AI platform can instantly turn it into a digital insurance aggregator (e.g., “Hey ChatGPT, find me the best price on car insurance.”).
But for those who haven’t been comfortable buying insurance online, what looks like AI simplification may feel even more complex: “First I have to ask some AI the right questions? Then I have to look at everything it says, and then I still have to go through and buy it online myself? I just want someone to tell me what’s best and get it done.” So, when it comes to making further inroads into personal lines via the route of consumer convenience and product commodification, there’s a solid argument to be made that AI won’t move the needle much.
In addition, there are other customers whose needs are more nuanced, and for whom the digital approach has not worked. As a consumer’s life becomes more complex, coverage needs expand, coverage choices matter more, and coverage consequences – the cost of getting it wrong – increase. At that point, the value proposition shifts from, “I need to get this done,” to “I need to get this right.” That’s where AI’s ability to handle complexity would appear to make it a viable replacement for the insurance agent. It’s also where agents can separate themselves as true trusted advisors.
Personal lines still has a lot of life left
AI can handle more questions on more topics and deliver more answers much faster, while drawing information from far more sources than any human insurance agent could ever dream of. That’s true. And that leads some to conclude that AI spells the end of agents. But that’s very one-dimensional, and insurance buying is not one-dimensional. There’s a strong argument to be made that AI will actually reinforce the agent’s role rather than erode it, even as AI expands into more complex decision support. Here are four points to consider what else AI brings to the table:
- AI expands awareness – which increases demand for advice. AI doesn’t just answer questions. It also raises questions consumers don’t know to ask. That tends to increase the perceived complexity of insurance decisions, not reduce it. “Should I increase my liability limits?” “Do I need umbrella coverage now that my child is driving?” “What happens if I’m sued beyond my policy limit?” Those are not transactional questions. They’re interpretive and scenario-based queries, often with a great deal of anxiety lurking behind them. Interacting with AI regarding complex insurance decisions can easily increase the sort of uncertainty that drives demand for validation from a human expert.
- AI provides answers without accountability. There are reasons that insurance agents must be licensed, with ongoing education requirements mandated every few years. When decisions carry real financial consequences, people don’t just want information. They want a recommendation, and someone to stand behind that recommendation. In addition, claims are still deeply human experiences. Fire, accident, and losses of all sorts are some of the most difficult moments in a person’s life, which means that trust becomes even more vital after the purchase – not during the research, quote, and placement process. Knowing exactly who you’re going to call if something goes wrong is extremely important.
- Complexity compounds beyond commoditization. The rate at which life grows more complex outpaces the rate at which insurance can be commoditized. As customers evolve, they accumulate multiple policies (auto, home, umbrella, valuables); they develop insurance interdependence (liability across assets); and they take on new risk profiles (teen drivers, rental properties, second homes). Even if AI explains each piece well, it will struggle with the subtleties of prioritization across competing interests. And that’s exactly where agents are at their best: explaining, advising, synthesizing, simplifying – and relating. While AI can analyze complexity, agents can help clients live with it.
- AI actually makes good agents more scalable. Here’s the point where AI will have the biggest impact: Agents can use it too. AI reduces the need to spend time on low-value tasks that don’t produce revenue, allowing agents to focus on more valuable interactions, including serving more clients, being more proactive and effective in prospecting, and dedicating more time to explore and advise on each client’s needs. Ironically, when handled correctly, AI doesn’t replace the agent; it allows the agent to reduce time spent on the transactional tasks that made the agent look replaceable.
The real answer is layered
AI will absolutely make insurance easier to buy. But for many insurance purchases, the ease with which one can shop has never been the deciding factor – confidence has. If anything, AI is more likely to increase the number of questions consumers ask, exposing gaps they didn’t know existed, and elevating the perceived stakes of getting it wrong. When that happens, the buying experience shifts from execution to validation, which can make the agent even more valuable – if they focus on being the trusted advisor.
