Will AI replace Purchasing Managers?
Estimated risk score: 72 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 (53 to 91).
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 11-3061.00 · Management
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: 9 of its 18 rated tasks; the first 6 are shown. In O*NET’s words.
- Administer online purchasing systems.
- Maintain records of goods ordered and received.
- Review purchase order claims and contracts for conformance to company policy.
- Control purchasing department budgets.
- Locate vendors of materials, equipment or supplies, and interview them to determine product availability and terms of sales.
- Prepare and process requisitions and purchase orders for supplies and equipment.
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.
- Interview and hire staff, and oversee staff training.
What the job is
Plan, direct, or coordinate the activities of buyers, purchasing officers, and related workers involved in purchasing materials, products, and services. Includes wholesale or retail trade merchandising managers and procurement managers.
Also called: Procurement Manager, Purchasing Director, DMM, Vendor Manager, Sourcing Manager, Commodity Manager, Materials Director, Contracting Manager.
Closest jobs we score by hand
In the same field (Management). 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