The Future of Insurance - Agents & AI: Same Channel, Different People

Episode Detail

This episode is a discussion of the thought leadership paper Bryan Falchuk published in September 2026 on a pressing an important question the industry is facing today – will AI spell the end of insurance agents and brokers?

AI is not going to kill the insurance agent channel. That’s not really in dispute, and it was never the right question. In this solo episode, Bryan Falchuk argues that the public debate over AI and agents has been fought almost entirely on the wrong terrain — demand — when the real disruption is on the supply side. Buyer demand for a trusted expert on a complicated, high-stakes decision is as durable as ever, but that says nothing about how many people will be doing that work five years from now, or how much of it AI will be doing on their behalf. Bryan traces the argument through a real disagreement with fellow industry voice Matteo Carbone, a landscaping-business example of what agentic AI can catch that no human ever sees, and the two mechanisms he thinks actually create opportunity inside this disruption: Empowered Expertise and Market Expansion.

The channel isn't disappearing. How it's staffed, and by whom, is about to change faster than most of the industry is planning for.

Show Notes:

The Real Question: Demand vs. Supply

• Demand isn’t the debate: Bryan agrees the agent channel survives — buyer demand for a trusted expert on a complex, infrequent, high-stakes decision isn’t eroding.

• The real question is who or what does the work inside the channel five years from now.

• A channel can hold 100% of its market share and still be staffed by a fraction of today’s headcount, partly by AI standing in an agent’s seat.

Where the Reframe Came From: The Matteo Carbone Debate

• The idea grew out of a real disagreement with Matteo Carbone, Founder & Director of IoT Insurance Observatory, who argues buyers won’t shop and transact alone for something this complicated. Bryan agrees.

• Bryan’s pushback: demand-side evidence, like low churn, doesn’t say anything about how much of the work AI ends up doing.

• His read: most of the public debate is arguing past itself over demand when the actual disagreement, if there is one, is about supply.

Accountable Delegation, Reconsidered

• Bryan is skeptical people consciously want a human to blame if something goes wrong, rather than offloading the cognitive burden onto someone trusted to have done the homework.

• Why it matters: wanting someone to blame is human-only, but wanting a trusted expert to carry judgment is something AI can plausibly meet.

• We already do this elsewhere, the same way fraud alerts and wearables already quietly do, without anyone consciously choosing to delegate.

Why This Time Is Actually Different

• The Internet never displaced agents because it’s a transaction engine, built for buyers who already know exactly what they want. Insurance is sold, not bought.

• Most buyers need someone to translate a messy, real-world situation into the right coverage, which the Internet was never built to do.

• AI can build context: interviewing a buyer, pulling outside data, mapping risk, and comparing it against policy language — the same judgment work a good agent does, at a scale one person can’t match.

Prompted AI vs. Agentic AI

• Most AI-and-insurance conversations assume a prompted model: a chatbot a person has to remember to open, which still requires someone to decide “today I’ll think about my insurance.”

• Agentic AI removes that requirement — in Bryan’s landscaping-business example, an AI system already handling her scheduling and contracts catches a new tree-removal service line and flags the coverage gap before she or her agent notices.

• The real disruption isn’t a friendlier chatbot: it’s AI finding the need on its own, before anyone on either side of the transaction has done anything at all.

Agents Are Already Leaning on AI, and It’s Not Speculative

• David Embry, CEO of Mylo, described building AI that gives brokers a constantly current view of market rates and appetite instead of trying to hold it all in their head.
• Jason Cass has talked about agentic AI absorbing a large share of an agency's operational load, from paperwork to quoting, letting the same team handle more business with fewer people.

• Layered on top: agents are retiring faster than they’re being replaced, and AI is what lets the channel hold its market position anyway.

The Opportunity Side: Empowered Expertise and Market Expansion

• Empowered Expertise: AI that continuously tracks the market doesn’t replace an agent’s judgment — it gives them the raw material to use it faster.

• Market Expansion: the same pattern that built the Cyber insurance category is playing out with AI liability, data mishandling, and bad AI-generated work — exposures that need an expert to explain and sell coverage for them.

• Carriers are already excluding AI liability, and ISO is updating standard policies to do the same, while startups like Testudo build coverage specifically for that gap — raising the need for an agent’s help, not lowering it.

Why Humans Stay Essential: Analytical vs. Critical Thinking

• Bill Pappas, EVP and Global Head of Technology and Operations at MetLife, distinguishes analytical thinking (patterns, logic, volume) from critical thinking (judgment in ambiguous situations).

• AI is winning the analytical work, and Bryan doesn’t think that’s a fight worth having.

• The future isn’t humans competing with AI for the same slice of work: it’s AI taking the analytical load off agents entirely so they can spend nearly all their time on the critical thinking that was always the hardest part of the job to replace.

Timing: Faster Than Most Are Planning For

• The cultural barrier to trusting AI with consequential decisions is already gone — today’s buyers have spent their adult lives doing complicated things online.

• The technology curve is compressed: almost none of what looks like a real threat to agents existed three or four years ago, and it’s advancing every few months, not years.

• Bryan’s call: real, visible change inside the next five years, with the leading edge already visible in the next two to three.

What To Do About It

• Agents: stop treating analytical work as where your value lives, start using AI tools in your actual daily workflow now, and invest in judgment and relationship skills.

• Agency leaders: stop staffing to today’s agent-to-book ratio, and shift training budget toward critical thinking and complex-case skills.

• Carriers: production is decoupling from agent headcount. Give appointed agents real AI tools or lose them to carriers who do.

Free White Paper: The full argument, including the complete demand-versus-supply reframe and the mechanics of Empowered Expertise and Market Expansion, is laid out in Bryan’s new white paper, The Future of Agents & AI, free to download at future-of-insurance.com/agents.

This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk.

Follow the podcast at future-of-insurance.com/podcast for more details and other episodes.

Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.