Will AI Replace Insurance Agents?

The question comes up in every agency, usually from a producer who just watched a demo of an AI voice agent and did not enjoy it. The honest answer is more specific than yes or no, and it is more useful.

AI is not replacing insurance agents, but it is replacing much of their day: first response, quote intake, follow-up, renewal reminders and scheduling. It does not take over advice, negotiation or the relationship, and state licensing bars it from soliciting, negotiating or binding coverage.

Here is the breakdown, with what the employment data actually shows.

What the numbers say

The Bureau of Labor Statistics projects insurance sales agent employment to grow 3% from 2025 to 2035, about as fast as the average for all occupations, with roughly 572,600 jobs in 2025 and about 43,100 openings a year over the decade (BLS Occupational Outlook Handbook). Median pay was $62,280 a year in May 2025.

That is not a profession being deleted. It is a profession growing slowly while the work inside it changes, which is the pattern that matters for your agency.

Worth noting what those projections are and are not. They are the government's best estimate of occupational demand, not a prediction about any particular agency, and they are revised. Treat them as a floor on the question "is this job disappearing," not as a forecast of your next five years.

What AI does take over

These are the tasks where an AI agent is genuinely better, not just cheaper. Each one is high-volume, time-sensitive and does not require a licence.

First response. An insurance lead who filled out a form at 8:40 p.m. is comparing three agencies. In an audit of 2,241 US companies, Harvard Business Review found only 37% responded to a web lead within an hour, and firms reaching a lead within an hour were nearly seven times as likely to qualify it as firms that waited an hour longer. No staffed agency answers every lead in seconds. An agent does.

Quote intake. Collecting the facts a quote needs: vehicles, drivers, property details, current carrier, renewal date, coverage they say they have now. Structured, repetitive, and exactly what a producer resents doing.

Follow-up persistence. The lead who said "call me next month" and then went quiet. Agents do not forget, do not get discouraged and do not deprioritize the small policy.

Renewal and review scheduling. Book the annual review, confirm it, rebook the no-show. Our reduce appointment no-shows guide covers what that cadence looks like.

Database reactivation. The quotes that never closed, sitting in your CRM. We cover the mechanics in database reactivation campaign.

Service questions with factual answers. Office hours, what documents to send, where to upload a photo, how to get a certificate.

After-hours coverage. Not a task so much as a shift nobody on your team wants.

What AI does not take over

Advice. Deciding how much liability coverage a contractor with two employees and a leased van actually needs is judgment applied to a specific life. A model can produce a confident paragraph about it. That is not the same thing, and the confidence is the dangerous part.

The hard conversation. A client whose claim was denied, a family after a death, a business owner who just found out about a coverage gap. These are the moments your clients remember, and they require a person who is accountable.

Negotiation and placement. Working an underwriter, arguing a classification, placing something unusual. That is relationship work built on a track record.

Trust at the point of decision. People buy insurance from a person they can call. The agencies doing best with AI are using it to get to that person faster, not to replace them.

Complex or unusual risk. The more the risk deviates from the standard form, the more the work is human.

What licensing forbids

This is the part that gets skipped, and it is the part that creates liability.

Every state requires a licence to solicit, negotiate or sell insurance. Those are acts performed by a person, and the licence belongs to that person. An AI system is not a licensed producer and cannot be one.

In practice the agent's boundaries are:

• It cannot quote. A price is the output of underwriting and quoting it is producer activity. The agent collects the facts and books the producer.
• It cannot recommend coverage. No "you should add an umbrella," no "that limit is probably enough."
• It cannot bind. Nothing the agent says creates coverage. If a caller says "so I'm covered from today?", the agent says only a licensed agent can confirm that and gets them to one.
• It cannot compare carriers as advice. Listing which carriers you work with is fine. Saying one is better for the caller is not.
• It cannot handle a claim decision. Intake and routing, yes. Anything about coverage or denial, no.

State regulators have also started addressing AI directly. In December 2023 the NAIC adopted a Model Bulletin on the Use of Artificial Intelligence Systems by Insurers, which sets expectations around governance, risk management and testing for AI used in insurance, and many states have adopted it. The NAIC publishes a legal adoption map showing where it stands. Check your own states.

On contacting leads, the FCC confirmed in FCC 24-17 that AI-generated voices count as artificial voices under the TCPA, so AI calls need the same prior express consent as other artificial or prerecorded calls. Insurance is a heavily litigated space under the TCPA, so consent records matter more here than almost anywhere.

This is not legal advice. Confirm your setup with your compliance officer and counsel.

The split, in one table

The pattern: AI owns the top of the funnel and the logistics, the producer owns the judgment and the relationship. An agency that puts AI anywhere in the right column is creating a regulatory problem. An agency that keeps producers in the left column is paying licensed people to do unlicensed work.

What this means for your agency

The producers at risk are the ones whose value is being reachable and persistent, because software is now better at both. The producers who are fine are the ones whose value is judgment, placement and the relationship.

The practical move is to take first response off your team entirely, and give them back the hours. A producer who was spending two hours a day on voicemails and quote intake gets two hours a day for reviews, cross-sells and the hard placements. That is the whole case, and it does not require anyone to lose a job.

Our done-for-you AI appointment setters run on StrideOps, respond to opted-in leads in under 2 seconds by voice or text, and hand off to a person whenever a question falls outside what they know, which in insurance is most of the interesting ones. The insurance brokers page shows how the setup fits an agency, and insurance lead follow-up covers the cadence.

What the best AI tool for an insurance agent is

The PAA question that usually sits next to this one. There is no single answer, because the tools split by job:

• Lead follow-up and booking: a voice and SMS agent that integrates with your agency management system, discloses it is AI and hands off cleanly.
• Quote intake: often the same agent, feeding a structured record.
• Document handling: tools that read declarations pages and ACORD forms.
• Writing: general assistants for emails and summaries, with a human reading everything that goes to a client.
• Underwriting and pricing: carrier-side systems, and the ones your state's adoption of the NAIC bulletin is aimed at.

The buying criteria that matter are in how to choose an AI appointment setter: latency, hand-off, consent, what it writes to, transcripts, who tunes it and what the price covers.

FAQ

Will AI take insurance agent jobs?

BLS projects insurance sales agent employment to grow about 3% from 2025 to 2035, with roughly 43,100 openings a year. AI is taking over first response, quote intake, follow-up and scheduling rather than the occupation. Advice, negotiation and claims conversations stay with licensed people.

Can AI sell insurance?

No. Soliciting, negotiating and selling insurance are acts that require a producer licence, and an AI system cannot hold one. It can collect information and book a licensed agent.

Can an AI quote insurance premiums?

It should not. A premium is the output of underwriting, and quoting is licensed activity. A well-built agent collects the facts and hands the quote conversation to a producer.

What is the best AI tool for insurance agents?

It depends on the job. For lead follow-up, choose one that answers in seconds, books into your calendar, logs to your agency management system, discloses that it is AI and hands off when the question needs a licensed person.

Is it legal to use AI to call insurance leads?

With prior express written consent for telemarketing, yes. The FCC confirmed in FCC 24-17 that AI voices are artificial voices under the TCPA. Keep consent records, honor opt-outs immediately and check your states' adoption of the NAIC AI model bulletin.

Put AI on the part that does not need a licence

We build AI first response for agencies, with producer hand-off and consent handling in place from launch. Book a Stride Scaling Call.