Will AI replace insurance sales agents?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 53m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The breakdown: 2h 47m that AI mostly does alone, 6m that robots have done in real workplaces. The other 5h 7m (64%) stays with people. Separately, BLS expects about 3.3% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 4 of 19 tasks, about 2h 47m of a typical shift. The biggest ones:

• Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients. (1h 4m a shift, AI mostly does it alone)
• Interview prospective clients to obtain data about their financial resources and needs, the physical condition of the person or property to be insured, and to discuss any existing coverage. (40m a shift, AI mostly does it alone)
• Customize insurance programs to suit individual customers, often covering a variety of risks. (35m a shift, AI mostly does it alone)
• Confer with clients to obtain and provide information when claims are made on a policy. (29m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 6m of a typical shift.

• Inspect property, examining its general condition, type of construction, age, and other characteristics, to decide if it is a good insurance risk. (6m a shift; e.g. Cape Analytics Roof Condition Rating (RCR), in use)

5h 7m of a typical shift, or 64%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Perform administrative tasks, such as maintaining records and handling policy renewals. (1h 15m a shift)
• Sell various types of insurance policies to businesses and individuals on behalf of insurance companies, including automobile, fire, life, property, medical and dental insurance, or specialized policies, such as marine, farm/crop, and medical malpractice. (58m a shift)
• Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans. (40m a shift)
• Call on policyholders to deliver and explain policy, to analyze insurance program and suggest additions or changes, or to change beneficiaries. (29m a shift)
• Contact underwriter and submit forms to obtain binder coverage. (17m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 99% say dealing with the public is very or extremely important
• 93% talk face to face with others every day
• 64% work at arm's length or closer to other people

We track 1 sourced company move that affects this job. Most recent:

• Jun 21, 2026: State Farm requires daily AI use in new contracts for 19,000 agents (Announced)

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 4h 5m for a person alone and about 31m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients (about 4h 5m alone, 31m with AI)

On Indeed, job postings in the Insurance sector are at 127% of their February 2020 level (all U.S. postings: 104%), up 5.1% from a year earlier, as of Oct 9, 2026. BLS separately expects about 43,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $62,280 a year ($29.94 an hour), 22% above the median for all U.S. jobs ($50,980). Most people in this job earn between $37,330 and $138,140 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.3% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 591,000 jobs in 2035. It expects about 43,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 479,000 people in the U.S., roughly 0.31% of all workers (BLS, May 2025). That makes it the 83rd largest of the 796 jobs on this site. BLS expects about 591,000 in 2035.

The most common requirement is a bachelor's degree: about 39% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Persuasion, Negotiation, Time Management, Reading Comprehension
• Get strong at the parts of the job that stay with people (listed above), which take 5h 7m of a typical shift
• Tools employers list: Microsoft Outlook, Microsoft Office software, Microsoft Excel, Adobe After Effects, Facebook
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Advertising Sales Agents (1h 35m touched, $65k median pay)
• Insurance Underwriters (25m touched, $81k median pay)

Each task carries its own evidence label. For this job: 4 observed in real AI use, 1 with robots in real deployments, 14 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.