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Will AI replace Insurance Sales Agents?

Sell life, property, casualty, health, automotive, or other types of insurance. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 41-3021.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
51%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
Browse this risk tierModerate exposure jobs →
Task automation shareⓘ
51%Automatable
Automatable51%
Augmentable25%
Hard to automate24%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Marketing & Sales
Growth & Revenue
Modeled pay midpoint$
$86,900/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Customize insurance programs to suit individual customers, often covering a variety of risks.61%
⚙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.49%
▥Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.36%
✦Trust, persuasion, and relationship context17%
✦Reading live customer signals13%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting customize insurance programs to suit individual customers, often covering a variety of risks..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on trust, persuasion, and relationship context.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Insurance Sales Agents.
02>AI can help with: Customize insurance programs to suit individual customers, often covering a variety of risks.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Trust, persuasion, and relationship context.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 51% is estimated task exposure—not a 51% chance of losing the job.
What AI can do
Customize insurance programs to suit individual customers, often covering a variety of risks.MEDIUM
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.MEDIUM
Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.LOW MATCH
How estimates work →
Your human moat
◆

Trust, persuasion, and relationship context

MEDIUM-HIGH

Combined with reading live customer signals, this keeps a human in the loop.

Strength8.1
Similar-role comparison
RoleRisk
Insurance Sales Agents51%
Social Media Manager (Scheduling)52%
Retail Salespersons50%
Advertising Sales Agents52%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is trust, persuasion, and relationship context.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025O*NET 41-3021.00Share report
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

O*NET 41-3021.00 occupation profile ↗ILO Generative AI and Jobs 2025 ↗Scoring methodology →

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