Will AI replace Insurance Sales Agents?
Estimated risk score: 67 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (48 to 86).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-3021.00 · Sales and Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 6 of its 19 rated tasks. In O*NET’s words.
- Calculate premiums and establish payment method.
- Perform administrative tasks, such as maintaining records and handling policy renewals.
- Install bookkeeping systems and resolve system problems.
- Contact underwriter and submit forms to obtain binder coverage.
- Select company that offers type of coverage requested by client to underwrite policy.
- Monitor insurance claims to ensure they are settled equitably for both the client and the insurer.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 19 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Sell life, property, casualty, health, automotive, or other types of insurance. May refer clients to independent brokers, work as an independent broker, or be employed by an insurance company.
Also called: Insurance Agent, Insurance Broker, Bond Writer, Debit Agent, Burial Agent, Pension Agent, Compensation Agent, Insurance Producer.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
Related jobs, estimated
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate