How exposed to AI is a Production, Planning, and Expediting Clerk?

Of the 17 tasks O*NET lists for production, planning, and expediting clerks, 3 could be done in half the time with a chat window today. 2 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
ExpeditorInventory Control SpecialistMaterial Requirements Planner (MRP)Materials CoordinatorMaterials PlannerProduction AssistantProduction ClerkProduction ControllerProduction PlannerProduction Scheduler
Reachable today Needs software built first Cannot be sped up
17
tasks rated for this occupation
0%
hold a degree, from a survey of 21
367k
people do this job in the US
8 of 51
least protected in office and admin

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

3
  • Revise production schedules when required due to design changes, labor or material shortages, backlogs, or other interruptions, collaborating with management, marketing, sales, production, or engineering
  • Examine documents, materials, or products and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications
  • Establish and prepare product construction directions and locations and information on required tools, materials, equipment, numbers of workers needed, and cost projections

Only with software built on top

12
  • Distribute production schedules or work orders to departments
  • Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities
  • Arrange for delivery, assembly, or distribution of supplies or parts to expedite flow of materials and meet production schedules
  • Requisition and maintain inventories of materials or supplies necessary to meet production demands
  • Confer with department supervisors or other personnel to assess progress and discuss needed changes
  • Plan production commitments or timetables for business units, specific programs, or jobs, using sales forecasts
  • Compile information, such as production rates and progress, materials inventories, materials used, or customer information, so that status reports can be completed
  • Compile and prepare documentation related to production sequences, transportation, personnel schedules, or purchase, maintenance, or repair orders
  • Calculate figures, such as required amounts of labor or materials, manufacturing costs, or wages, using pricing schedules, adding machines, calculators, or computers
  • Record production data, including volume produced, consumption of raw materials, or quality control measures
  • Maintain files, such as maintenance records, bills of lading, or cost reports
  • Provide documentation and information to account for delays, difficulties, or changes to cost estimates

Cannot be sped up

2
  • Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays
  • Contact suppliers to verify shipment details
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET 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. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.