How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights.76
- Weigh or measure materials, equipment, or products to maintain relevant records, using volume meters, scales, rules, or calipers.75
- Collect or prepare measurement, weight, or identification labels and attach them to products.75
- Count or estimate quantities of materials, parts, or products received or shipped.75
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Remove from stock products or loads not meeting quality standards, and notify supervisors or appropriate departments of discrepancies or shortages.01
- Signal or instruct other workers to weigh, move, or check products.02
- Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.03
- Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.04
- Fill orders for products and samples, following order tickets, and forward or mail items.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Inspectors, Testers, Sorters, Samplers, and Weighers
Closely related work
Compare these careers →Shipping, Receiving, and Inventory Clerks
Closely related work
Compare these careers →Packers and Packagers, Hand
Closely related work
Compare these careers →Machine Feeders and Offbearers
Closely related work
Compare these careers →Packaging and Filling Machine Operators and Tenders
Related work
Compare these careers →Graders and Sorters, Agricultural Products
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
