62
/100

SOC 45-2093

Farmworkers, Farm, Ranch, and Aquacultural Animals

High RiskFrey/Osborne: 87.0%

Risk Score

โš ๏ธ

62/100

High Risk

US Employment

๐Ÿ‘ฅ

35,420

Total workers

Median Wage

๐Ÿ’ฐ

$36K

$27K โ€“ $52K

Projected Growth

๐Ÿ“ˆ

-5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

22/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Farmworkers, Farm, Ranch, and Aquacultural Animals face a risk score of 62/100 โ€” 18 points above the national average of 44. With only 22/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $36K. 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 62/100, Farmworkers, Farm, Ranch, and Aquacultural Animals faces moderate automation pressure. While tasks like drone crop monitoring and precision spraying are increasingly handled by AI, the role retains significant human elements. The 35,420 workers in this occupation should focus on strengthening skills in sustainable land management judgment calls and adapting to variable weather and terrain conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Farmworkers, Farm, Ranch, and Aquacultural Animals?

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

โš ๏ธ Top Risk Factors

1

Drone crop monitoring and precision spraying

2

Robotic sorting and packing of produce

3

Satellite and sensor-based yield prediction models

4

Autonomous harvesting and planting machinery

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Sustainable land management judgment calls

โœ“

Adapting to variable weather and terrain conditions

โœ“

Managing livestock behavior and welfare

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

Feed and water livestock and monitor food and water supplies.

โ€ข

Herd livestock to pastures for grazing or to scales, trucks, or other enclosures.

โ€ข

Examine animals to detect illness, injury, or disease, and to check physical characteristics, such as rate of weight gain.

โ€ข

Provide medical treatment, such as administering medications and vaccinations, or arrange for veterinarians to provide more extensive treatment.

โ€ข

Mark livestock to identify ownership and grade, using brands, tags, paint, or tattoos.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Word processing software

โ€ข

Internet browser software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Biology

โ€ข

Administration and Management

โ€ข

English Language

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$36K
$-10K

National avg: $46K

Risk Score62/100
+18

National avg: 44/100

GenAI Exposure22/100
-16

National avg: 38/100

Projected Growth-5.0%
-8.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K67%
Occupational Health and Safety Specialists and Technicians26$79K57%
Supervisors of Farming, Fishing, and Forestry Workers35$59K84%