Will AI replace Insurance Sales Agents?
On paper, AI could touch ~58% of the work in Insurance Sales Agents — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 41-3021
How your 14 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~58%). By late 2025, real-world AI use had reached about 32% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~58%) and its real-world use (~32%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 14 tasks, ratedBased on real task-level AI scores — click to collapse
- Perform administrative tasks, such as maintaining records and handling policy renewals.
- Calculate premiums and establish payment method.
- Customize insurance programs to suit individual customers, often covering a variety of risks.
- 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.
- Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.
- Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients.
- Call on policyholders to deliver and explain policy, to analyze insurance program and suggest additions or changes, or to change beneficiaries.
- Confer with clients to obtain and provide information when claims are made on a policy.
- 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.
- Contact underwriter and submit forms to obtain binder coverage.
- Select company that offers type of coverage requested by client to underwrite policy.
- Ensure that policy requirements are fulfilled, including any necessary medical examinations and the completion of appropriate forms.
- Develop marketing strategies to compete with other individuals or companies who sell insurance.
- Attend meetings, seminars, and programs to learn about new products and services, learn new skills, and receive technical assistance in developing new accounts.
- ⚠️ None — every core task is at least partly within AI's reach. The job won't vanish, but almost all of it changes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.