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Agriculture & Environment · Updated Aug 2026

Graders and Sorters, Agricultural Products

Grade, sort, or classify unprocessed food and other agricultural products by size, weight, color, or condition.

JVS 2.0.0-phase4b
AI Exposure
70/100
High

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

Replacement Risk
50/100
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
Confidence89/100
Task coverage100%

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
Place products in containers according to grade and mark grades on containers.High
71
Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.High
70
Discard inferior or defective products or foreign matter, and place acceptable products in containers for further processing.High
70
Weigh products or estimate their weight, visually or by feel.High
70
Record grade or identification numbers on tags or on shipping, receiving, or sales sheets.High
71
Most exposed

Where AI can do more

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

  1. Place products in containers according to grade and mark grades on containers.71
  2. Record grade or identification numbers on tags or on shipping, receiving, or sales sheets.71
  3. Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.70
  4. Discard inferior or defective products or foreign matter, and place acceptable products in containers for further processing.70
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. Place products in containers according to grade and mark grades on containers.01
  2. Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.02
  3. Discard inferior or defective products or foreign matter, and place acceptable products in containers for further processing.03
  4. Weigh products or estimate their weight, visually or by feel.04
  5. Record grade or identification numbers on tags or on shipping, receiving, or sales sheets.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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AI risk 48

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Closely related work

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AI risk 49

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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 dependency50
Physical dependency66
Adoption pressure36
Labour-market resilience48
Methodology & sources

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

Confidence89/100
CalculatedAug 21, 2026
Read methodology →