64
/100

SOC 45-2041

Graders and Sorters, Agricultural Products

High RiskFrey/Osborne: 41.0%

Risk Score

โš ๏ธ

64/100

High Risk

US Employment

๐Ÿ‘ฅ

26,870

Total workers

Median Wage

๐Ÿ’ฐ

$35K

$30K โ€“ $43K

Projected Growth

๐Ÿ“ˆ

-5.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Graders and Sorters, Agricultural Products face a risk score of 64/100 โ€” 20 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $35K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 64/100, Graders and Sorters, Agricultural Products faces moderate automation pressure. While tasks like automated data interpretation and insight generation are increasingly handled by AI, the role retains significant human elements. The 26,870 workers in this occupation should focus on strengthening skills in operating in unstructured and remote environments and managing livestock behavior and welfare to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Graders and Sorters, Agricultural Products?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated data interpretation and insight generation

2

Robotic sorting and packing of produce

3

AI summarization replacing manual report compilation

4

Chatbot displacement of customer-facing interactions

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Operating in unstructured and remote environments

โœ“

Managing livestock behavior and welfare

โœ“

Sustainable land management judgment calls

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Place products in containers according to grade and mark grades on containers.

โ€ข

Weigh products or estimate their weight, visually or by feel.

โ€ข

Discard inferior or defective products or foreign matter, and place acceptable products in containers for further processing.

โ€ข

Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.

โ€ข

Record grade or identification numbers on tags or on shipping, receiving, or sales sheets.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Web platform development software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Food Production

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$35K
$-11K

National avg: $46K

Risk Score64/100
+20

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-5.4%
-9.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K51%
Occupational Health and Safety Specialists and Technicians26$79K61%
Supervisors of Farming, Fishing, and Forestry Workers35$59K73%