How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 41.0 to 65.0
Physical / roboticsrange 0.0 to 23.3
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Insurance Underwriters
It is skill-adjacent and less exposed (50.0 vs 53). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Customize insurance programs to suit individual customers, often covering a variety of risks.
50.0
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.
50.0
Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.
50.0
Perform administrative tasks, such as maintaining records and handling policy renewals.
53.0
Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients.
50.0
Call on policyholders to deliver and explain policy, to analyze insurance program and suggest additions or changes, or to change beneficiaries.
50.0
Confer with clients to obtain and provide information when claims are made on a policy.
50.0
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.
100.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: 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.
Task: Perform administrative tasks, such as maintaining records and handling policy renewals.
Lower-risk adjacent roles
Insurance Underwriters
50.0
Insurance Claims and Policy Processing Clerks
51.2
Securities, Commodities, and Financial Services Sales Agents
51.9
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Insurance Sales Agents to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 53.0, robotics 11.3.
The timeline comes from the higher axis (53.0), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.