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AI Automation Index
Will AI Replace Production, Planning, and Expediting Clerks?
Task-level automation exposure for Production, Planning, and Expediting Clerks: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
66%
weighted task index
17 of 17 tasks scored
Median Salary
$59,650 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
390,160 people hold this job — size, not growth
Projected 2025–35
-1.3%
employment change
32,600 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,570 – $77,190
Highest medians
Washington $77,190
District of Columbia $72,660
Wyoming $69,710
Rhode Island $65,310
Colorado $63,980
Lowest medians
Puerto Rico $37,570
New Mexico $49,640
Arkansas $50,350
South Dakota $50,530
Montana $50,800
State figures come from the 43-5061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 66%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 54%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 21%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 38/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 62%
11 tasks
Medium exposure (≥ 35%) 38%
6 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#11370 · Core · 72% automatable
Distribute production schedules or work orders to departments.
text generation — Providing routine information to coworkers is text-based
Provide information to coworkers.
#11365 · Core · 60% automatable
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.
decision support — Algorithmic scheduling with human oversight of constraints
Schedule operational activities. Confer with coworkers to coordinate work activities.
#11363 · Core · 78% automatable
Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities.
information retrieval — Extract material requirements from work orders
Read work orders to determine material or setup requirements.
#11372 · Core · 45% automatable
Arrange for delivery, assembly, or distribution of supplies or parts to expedite flow of materials and meet production schedules.
interpersonal — Operational coordination requires live human orchestration
Coordinate operational activities.
#11366 · Core · 49% automatable
Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays.
decision support — AI drafts shipping coordination; external negotiation human
Confer with coworkers to coordinate work activities. Coordinate shipping activities with external parties.
#11368 · Core · 75% automatable
Requisition and maintain inventories of materials or supplies necessary to meet production demands.
decision support — Ordering via systems automatable; human approves spend
Order materials, supplies, or equipment.
#11364 · Core · 48% automatable
Confer with department supervisors or other personnel to assess progress and discuss needed changes.
interpersonal — Real-time coworker coordination is relational work
Confer with coworkers to coordinate work activities.
#11375 · Core · 45% automatable
Plan production commitments or timetables for business units, specific programs, or jobs, using sales forecasts.
interpersonal — Operational coordination requires live human orchestration
Coordinate operational activities.
#11371 · Core · 85% automatable
Compile information, such as production rates and progress, materials inventories, materials used, or customer information, so that status reports can be completed.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation.
#11362 · Supplemental · 53% automatable
Examine documents, materials, or products and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications.
text generation — Document compliance checking against requirements is automatable
Inspect items for damage or defects. Examine documents to verify adherence to requirements.
#11377 · Supplemental · 83% automatable
Compile and prepare documentation related to production sequences, transportation, personnel schedules, or purchase, maintenance, or repair orders.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation. Record personnel information.
#11369 · Supplemental · 82% automatable
Calculate figures, such as required amounts of labor or materials, manufacturing costs, or wages, using pricing schedules, adding machines, calculators, or computers.
data analysis — Cost calculation from structured inputs
Calculate costs of goods or services.
#11373 · Supplemental · 50% automatable
Contact suppliers to verify shipment details.
decision support — AI drafts shipping coordination; external negotiation human
Coordinate shipping activities with external parties.
#11367 · Supplemental · 82% automatable
Record production data, including volume produced, consumption of raw materials, or quality control measures.
data analysis — Record production information into systems
Record production information.
#11376 · Supplemental · 83% automatable
Establish and prepare product construction directions and locations and information on required tools, materials, equipment, numbers of workers needed, and cost projections.
text generation — Prepare reference materials from source content
Prepare informational or reference materials.
#11374 · Supplemental · 80% automatable
Maintain files, such as maintenance records, bills of lading, or cost reports.
data analysis — Maintain operational records in structured systems
Maintain operational records.
#11378 · Supplemental · 80% automatable
Provide documentation and information to account for delays, difficulties, or changes to cost estimates.
data analysis — Maintain operational records in structured systems
Maintain operational records.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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