Will AI replace Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel?
Estimated risk score: 78 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 (59 to 97).
Account Executive? We score that job by hand: 50/100
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-3091.00 · 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: 10 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Maintain customer records using automated systems.
- Create forms or agreements to complete sales.
- Develop sales presentations or proposals to explain service specifications.
- Inform customers of contracts or other information pertaining to purchased services.
- Quote prices, credit terms, contract terms, or fulfillment dates for services.
- Answer customers' questions about services, prices, availability, or credit terms.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 15 rated tasks. In O*NET’s words.
- Distribute promotional materials at meetings, conferences, or trade shows.
What the job is
Sell services to individuals or businesses. May describe options or resolve client problems.
Also called: Membership Rep, Membership Solicitor, Field Sales Consultant, Accounts Representative, Wireless Sales Specialist, Customer Service Sales Rep, Field Sales Representative, Client Relationship Consultant.
Scored by hand
We score Account Executive (50) by hand: a related job, so the numbers can differ.
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