Will AI replace Procurement Clerks?
Estimated risk score: 84 out of 100
Very 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 (65 to 100).
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 43-3061.00 · Office and Administrative Support
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: 15 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Calculate costs of orders, and charge or forward invoices to appropriate accounts.
- Compare suppliers' bills with bids and purchase orders to verify accuracy.
- Prepare purchase orders and send copies to suppliers and to departments originating requests.
- Review requisition orders to verify accuracy, terminology, and specifications.
- Prepare invitation-of-bid forms, and mail forms to supplier firms or distribute forms for public posting.
- Approve and pay bills.
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 19 rated tasks. In O*NET’s words.
- Train and supervise subordinates and other staff.
What the job is
Compile information and records to draw up purchase orders for procurement of materials and services.
Also called: Purchasing Clerk, Departmental Buyer, Purchasing Analyst, Procurement Officer, Purchasing Assistant, Purchasing Associate, Purchasing Expeditor, Procurement Assistant.
Closest jobs we score by hand
In the same field (Office and Administrative Support). 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