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Will AI replace insurance agents? The honest answer

Which agent and broker tasks AI already handles, which stay human, what regulators and surveys report and what your firm can automate now.

Updated 7 min read

The short answer

On current evidence, will AI replace insurance agents? Not as a whole. AI is taking over data entry, quoting support and claims paperwork, but advising, trust and complex judgment still need people. The role is shifting, and some processing jobs are shrinking.

Key points

  • AI takes routine processing, not the client relationship
  • Underwriting and claims roles face real automation pressure
  • Regulators expect AI to support people, not replace them
  • Insurers are adopting AI fast across sales and service
  • Agents who use AI well free time for advice

Side by side

Where AI and people fit in agent work

Where each one fits today.

CriterionAI handles wellPeople still lead
Quotes and formsPre-filling data and comparing optionsExplaining trade-offs to the client
ClaimsReading documents and routing filesComplex or disputed cases
ServiceAnswering routine questions at any hourSensitive or emotional conversations
Risk and fraudFlagging unusual patternsFinal judgment and accountability

Will AI replace insurance agents?

Likely to shrink

  • Routine processing
  • Manual data entry

Likely to hold

  • Advice and trust
  • Complex judgment

The short answer is no, but the job is changing. Insurers now use AI across sales, underwriting, claims, customer service and back-office work, according to McKinsey.

The National Association of Insurance Commissioners agrees that AI may change how work is done. It sees AI as more likely to support human workers than to replace them entirely.

That does not mean every role is safe. Some processing-heavy jobs are already projected to shrink, and the sections below separate the two.

Tasks AI already handles

  • Applications

    Pre-fill from documents and emails

  • Quotes

    Compare coverage options for a first quote

  • Routine questions

    Answer policy questions by chat or phone

  • Claims files

    Read documents and route files

  • Follow-ups

    Draft renewals and reminders

Most of what AI takes over is repetitive and text-heavy. It reads, sorts and drafts faster than a person can.

That frees an agent's day for clients, but only if the saved time is actually moved to client work.

What stays with people

AI can

  • Suggest options
  • Draft documents

AI cannot

  • Advise on what coverage a client really needs
  • Handle grief, stress and hard conversations
  • Negotiate complex or commercial risks
  • Take responsibility for the recommendation

Insurance is a trust business. Clients who lose a home or face a health event want a person who knows their situation.

AI can suggest, but an agent still reads the room, explains what a policy will and will not cover and stands behind the advice.

Life insurance is a clear example. Questions about family, health and what to leave behind are rarely settled by a form, so the answer to whether AI will replace life insurance agents leans toward no.

What the research says

Bureau of Labor Statistics projections have insurance underwriter jobs falling 4 percent between 2025 and 2035. The cause it names is automated underwriting software, which lets workers process applications faster.

For claims roles, the Bureau expects technology to automate some tasks, while faster data processing and AI make workers more productive.

Adoption is moving quickly.

Conning's survey found 77 percent of insurers in some stage of adopting AI, up 16 percentage points from 2023, and Deloitte found 76 percent had already used generative AI in at least one function.

Agents themselves are cautious. One industry poll cited by a vendor reported that only 17 percent of agents trust AI technology, so treat that as a mood, not a fixed fact.

How the agent role is changing

  1. 01

    AI drafts

    Forms, quotes and notes are prepared

  2. 02

    Agent reviews

    A person checks and corrects the work

  3. 03

    Client advised

    Time goes to the conversation

  4. 04

    Agent decides

    The person owns the recommendation

Think of the shift as moving up the value chain. Less keying and chasing paperwork, more advising and relationship work.

In underwriting, Accenture's survey of 430 senior executives found 81 percent expect AI to create new roles, not only remove old ones. The mix of jobs changes before the total does.

Agents who learn to check AI output, spot its mistakes and explain it to clients become more useful, not less.

Fraud, risk and the rules around AI

Fraud is a major reason insurers invest in AI. The Coalition Against Insurance Fraud puts its cost to the U.S. at $308.6 billion a year.

Meanwhile 80 percent of surveyed insurers use predictive modeling to detect it.

Regulators are watching. In December 2023 the NAIC adopted a model bulletin covering insurers' use of AI. A 2025 survey of health insurers found nearly 92 percent already have AI governance principles.

For an agent, the practical point is accountability. A person still answers for decisions that affect a client, so human review of AI output is the norm.

What an insurance firm can automate now

  • Intake

    Policy and application intake from email and forms

  • Claims

    Document reading and routing

  • Renewals

    Reminders and follow-up messages

  • After hours

    Answers to routine client questions

  • Reporting

    Reports still assembled by hand

Start with work that is repetitive, rule-based and high in volume. Intake, document handling and follow-up are the usual first targets.

For a firm in this field, the insurance industry page shows where automation tends to land.

Two specific areas are worth a look: claims automation and underwriting automation.

Our data

What AI answers when buyers ask

We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for insurance agencies. They named 119 companies, and 85% appeared in only one of the three.

CriterionChatGPTGeminiPerplexity
Companies named484653
Sites cited mostsonant.ai (3 of 10)reddit.com and wyecliff.ai (3 of 10)agentforthefuture.com and cloudtalk.io (3 of 10)

Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 10 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.

FAQ

AI and insurance agents questions

  • Not entirely. AI is taking routine processing, quoting support and paperwork, but advising, trust and complex judgment still need people. Some processing-heavy roles, like underwriting, are projected to shrink.
  • Unlikely. Life insurance involves family, health and long-term decisions that clients want to discuss with a person. AI can prepare documents and compare options, but the advice and the relationship stay human.
  • Some of them. The Bureau of Labor Statistics projects underwriter employment to fall 4 percent from 2025 to 2035. Other roles shift toward review, advice and exceptions rather than disappearing.
  • Sales support, underwriting automation, claims handling, customer service with voice agents and back-office work, according to McKinsey. Fraud detection is another major area, with most insurers using predictive models.
  • Fraud is a large, measurable one, estimated by the Coalition Against Insurance Fraud at $308.6 billion a year in the U.S. Weak governance of AI itself is a growing concern for regulators.
  • Mostly with caution. One industry poll reported by a vendor found only 17 percent of agents trust AI technology. Trust usually grows when AI handles routine tasks and a person reviews the result.
  • Pick one repetitive process, such as intake or claims routing, measure the hours it costs and automate that first. Keep a person reviewing the output.

Final step

Pick a time. Let's talk.

You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.

You can keep paying for manual work, or find out this week exactly what it costs you.

What happens on the call

  1. Before

    You answer 3 quick questions when you book, so we come prepared.

  2. On the call

    We find the manual work that costs you most and put a number on it, live.

  3. Decide

    An honest read on whether we're the right fit. If we're not, you'll hear it on the call.

Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.

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