Share and intensity of work current AI systems can materially affect.
SOC 43-5061
Production, Planning, and Expediting Clerks AI displacement risk
Distributing schedules, compiling production reports, and tracking materials are workflows that manufacturing execution systems automate. Expediting shortages, revising schedules around disruptions, and coordinating across departments keep human expediters valuable.
Likely potential for exposed tasks to move to software after workflow integration.
The reporting layer of this role is automating fast; the firefighting layer is not. Clerks who own exception management and cross-department coordination transition well into planning analyst roles as factories digitize.
Distribution
Where Production, Planning, and Expediting Clerks sits across 620 tracked roles
Displacement pressure 62 — higher than 89% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
17 O*NET task statements matched to SOC 43-5061. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $59,650 (May 2025, US national). The latest BLS row matched SOC 43-5061.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Production, Planning, and Expediting Clerks
SOC 43-5061 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 62/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Production, Planning, and Expediting Clerks
The current evidence import matched 17 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks17
SOC43-5061
- Core task / ID 11370
Distribute production schedules or work orders to departments.
- Core task / ID 11365
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.
- Core task / ID 11363
Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities.
- Core task / ID 11372
Arrange for delivery, assembly, or distribution of supplies or parts to expedite flow of materials and meet production schedules.
- Core task / ID 11366
Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays.
- Core task / ID 11368
Requisition and maintain inventories of materials or supplies necessary to meet production demands.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Distribute schedules and work orders
Exposure 78, automation 60%, augmentation 28%.
O*NET evidence: Distribute production schedules or work orders to departments. (ID 11370)
Revise schedules for disruptions
Exposure 52, automation 30%, augmentation 58%.
O*NET evidence: Revise production schedules when required due to design changes, labor or material shor... (ID 11365)
Compile production status reports
Exposure 76, automation 56%, augmentation 42%.
O*NET evidence: Compile information, such as production rates and progress, materials inventories, mate... (ID 11371)
Coordinate with vendors and departments
Exposure 40, automation 16%, augmentation 52%.
O*NET evidence: Confer with establishment personnel, vendors, or customers to coordinate production or ... (ID 11366)
TaskExposureAutomationAugmentation
Distribute schedules and work orders7860%28%
Revise schedules for disruptions5230%58%
Compile production status reports7656%42%
Coordinate with vendors and departments4016%52%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
HighProduction Planner
Training horizon: 3-6 months. Skill overlap 74. Wage preservation signal 118.
- Own master scheduling
- Analyze capacity constraints
- Configure planning software
adjacent role
HighSupply Chain Analyst
Training horizon: 3-6 months. Skill overlap 64. Wage preservation signal 120.
- Learn forecasting basics
- Build inventory dashboards
- Track supplier performance
Comparison guides
Compare the next move before you commit
3-6 months
Production, Planning, and Expediting Clerks to Production Planner
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Production, Planning, and Expediting Clerks into Production Planner.
3-6 months
Production, Planning, and Expediting Clerks to Supply Chain Analyst
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Production, Planning, and Expediting Clerks into Supply Chain Analyst.
What the AI risk score means for Production, Planning, and Expediting Clerks
The displacement pressure score for Production, Planning, and Expediting Clerks is 62. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Distribute schedules and work orders carries 60% automation pressure, while Revise schedules for disruptions carries 58% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $59,650 (May 2025, US national). Employment context: Manufacturing coordination role with scheduling software pressure. Typical education: High school diploma or equivalent.
Wage vulnerability is 52, while transition feasibility is 68. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- High automation pressure on reporting
- Exception coordination stays human
- MES fluency opens analyst paths
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Production, Planning, and Expediting Clerks, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Scheduling systems
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Expediting judgment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Materials coordination
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Production data literacy
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Production Planner, such as own master scheduling.
- By 90 days, compare internal openings and external postings for Production Planner or Supply Chain Analyst and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Production, Planning, and Expediting Clerks
Will AI replace Production, Planning, and Expediting Clerks?
Distributing schedules, compiling production reports, and tracking materials are workflows that manufacturing execution systems automate. Expediting shortages, revising schedules around disruptions, and coordinating across departments keep human expediters valuable. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Production, Planning, and Expediting Clerks work are most exposed to AI?
Distribute schedules and work orders and Compile production status reports show the strongest automation pressure in this model. Revise schedules for disruptions and Coordinate with vendors and departments are better treated as AI-augmented work.
What should Production, Planning, and Expediting Clerks learn next?
Start with Scheduling systems, Expediting judgment, Materials coordination. The most practical adjacent paths in this model are Production Planner and Supply Chain Analyst.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
World Economic Forum / 7 January 2025The Future of Jobs Report 2025International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics