Will AI Replace Life Insurance Agents or Change What Makes Them Valuable?

A client opens the meeting by turning a phone toward you. She asked an AI tool what kind of life insurance she needs, and the answer was confident, tidy and a little wrong for her family. Most agents will see a version of that scene before long, and it raises the question this article takes on: will AI replace life insurance agents, or does it change what clients are paying a licensed professional for?

As of November 2026, the evidence points to a shift in which tasks take an agent's time, not to a vanishing role. It also shows real limits, on both sides. This article looks at how insurers use AI today, what consumers say they want, what the NAIC has told insurers, and which parts of the work stay tied to your license.

One caution first. Rules differ by state, product and carrier, and they change. This is an orientation, not legal advice. You do not need any particular AI tool to meet any standard described here; the point is that clients, carriers and regulators are already dealing with these tools, so you will meet them either way.

Is AI being used in life insurance sales, underwriting and servicing?

Yes, by insurers, and the NAIC says so plainly. Its AI topic page lists underwriting, pricing, customer service, claims handling, marketing and fraud detection as areas where insurers use AI.¹ The NAIC's model bulletin goes further and says AI techniques are deployed across the insurance life cycle, including sales and distribution and policy servicing.²

For life insurance specifically, the NAIC's summary of its survey of life companies, issued in December 2023, is the most direct public evidence. Of the 161 life companies that responded, 58% said they use, plan to use or plan to explore AI or machine learning models.¹ Life insurers reported using AI for targeted online advertising, offers to existing customers, shorter policy issuance times, approval and denial decisions, and underwriting risk classes, with models used to automate, augment or support human decision-making depending on the use.¹ The underwriting side of this is covered in an earlier article in this section.

Notice what that survey does not show. It does not count how many agents use AI, how much of any step is automated, or what happened after 2023. The 58% includes companies that were only planning or exploring. Read it as evidence that insurers were moving in that direction, not as a measure of how much human work has been displaced.

What do consumers say about AI and talking to a human?

Consumers are using the tools. In the 2025 Insurance Barometer Study from Life Happens and LIMRA, 51% of respondents reported using AI tools for research and 55% for shopping, and one in four said they would complete a life insurance purchase entirely online.³ Separately, a 2026 Capgemini and LIMRA study of 6,175 consumers across 18 countries, fielded April to June 2026, found that 51% plan to use generative AI tools to research and compare life insurance products.⁴ The two 51% figures come from different surveys, different years and different populations, so do not read them as one trend line.

The same sources show a continuing appetite for a person. In the 2025 Barometer, three in four people said they still want professional help in the buying process, and among those who want human help, 36% would turn to a professional after narrowing the product type but before deciding on amount or price.³ In the Capgemini and LIMRA study, two-thirds of consumers prefer a human advisor when finalizing coverage decisions, and 85% want advisor interaction at some point in the journey, whether to validate research, answer questions or provide reassurance.⁴ In the 2026 Barometer, 45% said they already work with a professional and 26% said they are looking for one.⁵

These are stated preferences from industry research bodies, and they have limits. They do not show whether people who say they want an advisor will pay for one, and one in four of the 2025 respondents said they would complete a life insurance purchase entirely online.³ Life Happens adds that the industry cannot control the accuracy of AI outputs.³ The NAIC makes the same point in general terms: language models may generate information that sounds accurate but is incorrect, so their output should be reviewed carefully, especially for important decisions.¹

What have regulators said about insurers using AI?

The main national document is the NAIC's Model Bulletin, adopted December 4, 2023. It is addressed to insurers, and it reminds them that decisions made or supported by AI systems must comply with all applicable insurance laws, including those on unfair trade practices and unfair discrimination.² It expects insurers to keep a written program for the responsible use of AI systems, covering systems built in-house or bought from a third-party vendor.² One of its guidelines says that program should include processes for notifying affected consumers that AI systems are in use.²

A model bulletin is not itself the rule. Each state decides what to issue. The NAIC's adoption map, with status as of November 13, 2026, lists 30 jurisdictions as having adopted the model bulletin, including Texas (a commissioner's bulletin issued June 12, 2026) and North Dakota (October 5, 2026).⁶ The same map shows California, Colorado and New York with their own insurance-specific regulation or guidance instead, and it states that it does not reflect whether a state's version contains all elements of the model.⁶ If your state is not on the list, that tells you where the NAIC's tracker stands, not what your department expects, so check with your department.

The bulletin speaks to insurers. It does not tell an individual agent how to use a tool, which is why your carrier's and agency's own rules are the first place to look.

Which tasks can AI handle, and which stay with the licensed agent?

The sources describe what tools can do. The NAIC says some insurers use chatbots to answer common questions, provide basic information and assist with simple transactions, and that language models can answer questions, summarize documents and assist with writing.¹ That is where much of the routine load sits: first-draft wording, summaries, general explanations, scheduling-type questions. Insurers also report AI in underwriting steps, as above.¹

What stays tied to the license is the recommendation and the record behind it. Take the annuity rules, where the text is clearest. Under the NAIC's Model 275, a model regulation that states adopt in their own versions, a producer making an annuity recommendation must act in the consumer's best interest, and that includes a care obligation (know the consumer's situation and have a reasonable basis for the recommendation), a disclosure obligation and a documentation obligation.⁷ Maryland's regulation sets the same duties for producers in that state, including a written record of the recommendation and its basis at the time of the recommendation or sale.⁸ Both are annuity rules, and neither mentions AI tools; they attach the duties to the producer who makes the recommendation.⁷⁸

Life insurance is less uniform. New York is one state that applies a best-interest standard to life insurance too. Its Department of Financial Services says a recommendation includes statements or acts by a producer that a consumer may reasonably read as advice and act on, and that the definition excludes an interactive tool that solely helps a consumer estimate needs or compare products, provided the producer does not use that tool to satisfy a requirement of the regulation.⁹ In plain terms, a calculator a client uses on their own is one thing; a tool you lean on to meet your own duty is another. That is one state's statement, and your state may differ.

The NAIC page frames the whole question this way: AI may change how work is done, but it is more likely to support insurance workers than replace them entirely, and agents still review information, exercise judgment and work directly with consumers.¹ That is the NAIC's stated expectation, not a measured result.

How should you respond when a client arrives with an AI answer?

Treat it as a starting point, not a rival. A few lines you could use:

• "Show me what it told you. Let's see which parts fit your situation and which don't."
• "What did you tell it about your income and your family? It only knows what you typed."
• "Which number in that answer needs checking against a real quote?"
• "If it says your work coverage is enough, let's look at what the plan actually pays and what happens if you change jobs."

What to avoid: mocking the tool, or the client for using it. A client who feels judged stops telling you what they researched. Also avoid the reverse mistake of repeating a tool's output as your own analysis without checking it. If you use any AI tool in your own work, your carrier, agency and state rules decide what client information may go into it, so read those before you paste anything.

Sometimes the tool's answer is reasonable, and the honest response is "that is close to what I would suggest." Sometimes a client's situation needs no new policy at all. Saying so is part of the value of a person who will answer for the advice.

Your file is the other half. If a recommendation is questioned years later, the reviewer will ask what you learned about the client and why you recommended what you did, not what a tool said. The habits for that are in an earlier article on documentation.

Tools change how fast an answer arrives. They do not change who answers for the advice. Whatever helps you prepare, the recommendation, the disclosures and the record still carry your name.