High AI Risk Average

Insurance sales agents

SOC Code: 41-3021

Insurance sales agents carries a 40% AI exposure score (High automation risk), with a median annual wage of $60,370 and +3.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 568,800 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
40% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+3.7%
2024–2034 (BLS)
+21,100 jobs
Median Annual Wage
$60,370
BLS May 2024
How wage figures are sourced →
The verdict

At 40% AI exposure, Insurance sales agents sits 3 points above the 37.2% average across 832 U.S. occupations - more exposed than 68% of them. Most of its core tasks still require human judgment.

40%
AI exposure
Top 32%
most exposed
+3.7%
Job growth 2024–34
$60,370
Median wage

Where Insurance sales agents sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Insurance sales agents marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 32% by AI exposure Higher AI exposure than 68% of all 832 occupations.

Insurance sales agents has ai exposure of 40%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Insurance sales agents vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Insurance sales agents is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk27.4%36.2%45%53.8%62.6%-10.6%-6.8%-3.1%0.6%4.4%AI exposure (%) →Projected growth (%) →Retail salespersonsCashiersFirst-line supervisoSales representativeSales representativeInsurance sales agenSecuritiesReal estate sales agCounterFirst-line supervisoSales representative

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

568,800
Employment 2024
589,800
Projected 2034
+3.7%
Change (%)
+21,100
Change (jobs)

Occupation Insight

Insurance sales agents (SOC 41-3021) carries an AI exposure score of 40%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 568,800 workers in this occupation in 2024, and projects a +3.7% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $60,370, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Insurance sales agents. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Customize insurance programs to suit individual customers, often covering a variety of risks.
  2. 2. 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.
  3. 3. Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.
  4. 4. Perform administrative tasks, such as maintaining records and handling policy renewals.
  5. 5. Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients.
  6. 6. Call on policyholders to deliver and explain policy, to analyze insurance program and suggest additions or changes, or to change beneficiaries.
  7. 7. Confer with clients to obtain and provide information when claims are made on a policy.
  8. 8. 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.
  9. 9. Contact underwriter and submit forms to obtain binder coverage.
  10. 10. Select company that offers type of coverage requested by client to underwrite policy.

Key Skills Required

  • Reading Comprehension
  • Active Listening
  • Speaking
  • Critical Thinking
  • Writing
  • Persuasion
  • Time Management
  • Service Orientation
  • Negotiation
  • Social Perceptiveness

Knowledge Areas

  • Customer and Personal Service
  • Sales and Marketing
  • English Language
  • Mathematics
  • Law and Government
  • Transportation
  • Administration and Management
  • Education and Training
  • Communications and Media
  • Computers and Electronics

Frequently Asked Questions

Will AI replace Insurance sales agents?

Insurance sales agents has an AI exposure score of 40%, indicating a high level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Insurance sales agents?

According to BLS Employment Projections 2024-2034, Insurance sales agents is projected to grow by 3.7% over the decade. Current employment stands at approximately 568,800 workers.

What skills are needed for Insurance sales agents?

Key skills for Insurance sales agents include Reading Comprehension, Active Listening, Speaking, and others. Typical entry-level education is High school diploma or equivalent.

How much do Insurance sales agents earn?

The median annual wage for Insurance sales agents is $60,370, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Insurance sales agents?

The typical entry-level education for Insurance sales agents is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Insurance sales agents?

Insurance sales agents roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.0
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.