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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Weighers, Measurers, Checkers, and Samplers, Recordkeeping?
Task-level automation exposure for Weighers, Measurers, Checkers, and Samplers, Recordkeeping: 18 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
32%
weighted task index
18 of 18 tasks scored
Median Salary
$46,380 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
53,300 people hold this job — size, not growth
Projected 2025–35
-4.8%
employment change
4,700 openings a year · BLS line item
Pay by state
BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$26,820 – $62,840
Highest medians
Wyoming $62,840
Indiana $57,210
Oregon $54,500
New Mexico $53,960
Maine $51,120
Lowest medians
Puerto Rico $26,820
West Virginia $31,210
Oklahoma $37,350
Mississippi $38,900
Rhode Island $40,300
State figures come from the 43-5111 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 32%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 30%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 11%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
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 24/100
Low
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
18 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) 21%
3 tasks
Medium exposure (≥ 35%) 14%
3 tasks
Low exposure (below 35%) 65%
12 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
#11380 · Core · 82% automatable
Document quantity, quality, type, weight, test result data, and value of materials or products to maintain shipping, receiving, and production records and files.
data analysis — Record production information into systems
Record production information.
#11383 · Core · 70% automatable
Weigh or measure materials, equipment, or products to maintain relevant records, using volume meters, scales, rules, or calipers.
data analysis — Weight/volume calculations from given data
Calculate weights, volumes or other characteristics of materials.
#11379 · Core · 12% automatable
Collect or prepare measurement, weight, or identification labels and attach them to products.
physical manipulation — Attaching tags to containers is physical
Attach identification information to products, items or containers.
#11397 · Core · 25% automatable
Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.
visual inspection — Defect inspection of physical items needs presence
Inspect items for damage or defects.
#11391 · Core · 27% automatable
Signal or instruct other workers to weigh, move, or check products.
interpersonal — Policy instruction content aided, delivery human
Signal others to coordinate work activities. Instruct staff in work policies or procedures.
#11386 · Core · 8% automatable
Collect product samples and prepare them for laboratory analysis or testing.
physical manipulation — Manual product sampling
Collect samples of materials or products for testing. Prepare products for testing.
#11395 · Core · 5% automatable
Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses.
physical manipulation — Physical cleaning of facilities and equipment
Clean facilities or equipment.
#11381 · Supplemental · 35% automatable
Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights.
visual inspection — AI can cross-check orders; physical verification human
Inspect shipments to ensure correct order fulfillment.
#11394 · Supplemental · 72% automatable
Remove from stock products or loads not meeting quality standards, and notify supervisors or appropriate departments of discrepancies or shortages.
text generation — Providing routine information to coworkers is text-based
Provide information to coworkers.
#11400 · Supplemental · 25% automatable
Inspect products and examination records to determine the number of defects per worker and the reasons for examiners' rejections.
visual inspection — Defect inspection of physical items needs presence
Inspect items for damage or defects.
#11393 · Supplemental · 10% automatable
Store samples of finished products in labeled cartons and record their location.
physical manipulation — Physically placing and storing items
Store items.
#11382 · Supplemental · 30% automatable
Count or estimate quantities of materials, parts, or products received or shipped.
visual inspection — Counting physical products needs presence or sensors
Count finished products or workpieces.
#11384 · Supplemental · 50% automatable
Communicate with customers and vendors to exchange information regarding products, materials, and services.
interpersonal — Customer dialogue needs live presence and adaptation
Discuss goods or services information with customers or patrons.
#11389 · Supplemental · 40% automatable
Fill orders for products and samples, following order tickets, and forward or mail items.
text generation — Sending digital materials automatable; physical mailing human
Package objects for shipping. Send information, materials or documentation.
#11388 · Supplemental · 30% automatable
Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers.
physical manipulation — Operating computers is physical interface work
Operate computers or computerized equipment.
#11390 · Supplemental · 10% automatable
Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.
physical manipulation — Sorting physical materials requires hands-on handling
Sort materials or products.
#11398 · Supplemental · 10% automatable
Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.
situated mobility — Physical delivery of items in real environments
Deliver items.
#11387 · Supplemental · 4% automatable
Unload or unpack incoming shipments.
physical manipulation — Physical unloading of materials and equipment
Unload materials or equipment.
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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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