Will AI replace Purchasing Agents, Except Wholesale, Retail, and Farm Products?
Estimated risk score: 70 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 (51 to 89).
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 13-1023.00 · Business and Financial Operations
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 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Analyze price proposals, financial reports, and other data and information to determine reasonable prices.
- Arrange the payment of duty and freight charges.
- Maintain and review computerized or manual records of purchased items, costs, deliveries, product performance, and inventories.
- Monitor changes affecting supply and demand, tracking market conditions, price trends, or futures markets.
- Prepare purchase orders, solicit bid proposals, and review requisitions for goods and services.
- Purchase the highest quality merchandise at the lowest possible price and in correct amounts.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 19 rated tasks. In O*NET’s words.
- Attend meetings, trade shows, conferences, conventions, and seminars to network with people in other purchasing departments.
- Hire, train, or supervise purchasing clerks, buyers, and expediters.
What the job is
Purchase machinery, equipment, tools, parts, supplies, or services necessary for the operation of an establishment. Purchase raw or semifinished materials for manufacturing. May negotiate contracts.
Also called: Procurement Official, Ore Buyer, Fuel Agent, Fuel Buyer, Lumber Buyer, Price Analyst, Contract Admin, Pulpwood Buyer.
Closest jobs we score by hand
In the same field (Business and Financial Operations). 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