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Transport & Logistics · Updated Aug 2026

Packers and Packagers, Hand

Pack or package by hand a wide variety of products and materials.

JVS 2.0.0-phase4b
AI Exposure
42/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
40/100
Moderate

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

Evidence quality
Confidence81/100
Task coverage84%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Record product, packaging, and order information on specified forms and records.High
70
Mark and label containers, container tags, or products, using marking tools.High
68
Place or pour products or materials into containers, using hand tools and equipment, or fill containers from spouts or chutes.High
65
Load materials and products into package processing equipment.Medium
68
Examine and inspect containers, materials, or products to ensure that product quality and packing specifications are met.High
32
Remove completed or defective products or materials, placing them on moving equipment, such as conveyors, or in specified areas, such as loading docks.High
24
Seal containers or materials, using glues, fasteners, nails, and hand tools.High
23
Assemble, line, and pad cartons, crates, and containers, using hand tools.High
23
Obtain, move, and sort products, materials, containers, and orders, using hand tools.High
24
Clean containers, materials, supplies, or work areas, using cleaning solutions and hand tools.Medium
25
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Record product, packaging, and order information on specified forms and records.70
  2. Mark and label containers, container tags, or products, using marking tools.68
  3. Load materials and products into package processing equipment.68
  4. Place or pour products or materials into containers, using hand tools and equipment, or fill containers from spouts or chutes.65
Hardest to automate

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.

  1. Seal containers or materials, using glues, fasteners, nails, and hand tools.01
  2. Assemble, line, and pad cartons, crates, and containers, using hand tools.02
  3. Remove completed or defective products or materials, placing them on moving equipment, such as conveyors, or in specified areas, such as loading docks.03
  4. Obtain, move, and sort products, materials, containers, and orders, using hand tools.04
  5. Clean containers, materials, supplies, or work areas, using cleaning solutions and hand tools.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

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.

Human dependency67
Physical dependency64
Adoption pressure39
Labour-market resilience60
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence81/100
CalculatedAug 21, 2026
Read methodology →