Will AI replace Logisticians?
Estimated risk score: 58 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 (39 to 77).
For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-1081.00 · 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: 3 of its 22 rated tasks. In O*NET’s words.
- Report project plans, progress, and results.
- Develop and implement technical project management tools, such as plans, schedules, and responsibility and compliance matrices.
- Support the development of training materials and technical manuals.
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 22 rated tasks. In O*NET’s words.
- Maintain and develop positive business relationships with a customer's key personnel involved in, or directly relevant to, a logistics activity.
- Protect and control proprietary materials.
What the job is
Analyze and coordinate the ongoing logistical functions of a firm or organization. Responsible for the entire life cycle of a product, including acquisition, distribution, internal allocation, delivery, and final disposal of resources.
Also called: Client Services Administrator, Supply Planner, Material Planner, Logistics Planner, Delivery Coordinator, Logistics Team Member, Supply Chain Associate, Distribution Specialist.
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