Will AI replace First-Line Supervisors of Non-Retail Sales Workers?
Estimated risk score: 56 out of 100
Moderate 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 (37 to 75).
For the occupation as a whole, from ratings of its 18 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-1012.00 · 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: 4 of its 18 rated tasks. In O*NET’s words.
- Keep records pertaining to purchases, sales, and requisitions.
- Prepare rental or lease agreements, specifying charges and payment procedures for use of machinery, tools, or other items.
- Inventory stock and reorder when inventories drop to specified levels.
- Prepare sales and inventory reports for management and budget departments.
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 18 rated tasks. In O*NET’s words.
- Visit retailers and sales representatives to promote products and gather information.
What the job is
Directly supervise and coordinate activities of sales workers other than retail sales workers. May perform duties such as budgeting, accounting, and personnel work, in addition to supervisory duties.
Also called: Sales Leader, Reservations Supervisor, Sales Counselor, Sales Team Leader, Dry Cleaning Manager, Telesales Supervisor, Territory Supervisor, Bulk Plant Supervisor.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
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