54
/100

SOC 45-1011

First-Line Supervisors of Farming, Fishing, and Forestry Workers

ElevatedFrey/Osborne: 57.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

29,530

Total workers

Median Wage

๐Ÿ’ฐ

$59K

$40K โ€“ $91K

Projected Growth

๐Ÿ“ˆ

+2.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

60/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก First-Line Supervisors of Farming, Fishing, and Forestry Workers face a risk score of 54/100 โ€” 10 points above the national average of 44. With 60/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $59K ($13K above the national median). 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 54/100, First-Line Supervisors of Farming, Fishing, and Forestry Workers 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 29,530 workers in this occupation should focus on strengthening skills in assessing crop health through hands-on field inspection and adapting to variable weather and terrain conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace First-Line Supervisors of Farming, Fishing, and Forestry Workers?

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

AI-driven irrigation and soil analysis systems

3

Satellite and sensor-based yield prediction models

4

Robotic sorting and packing of produce

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Assessing crop health through hands-on field inspection

โœ“

Adapting to variable weather and terrain conditions

โœ“

Managing livestock behavior and welfare

โœ“

Operating in unstructured and remote environments

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

Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters.

โ€ข

Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped.

โ€ข

Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations.

โ€ข

Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted.

โ€ข

Observe fish and beds or ponds to detect diseases, monitor fish growth, determine quality of fish, or determine completeness of harvesting.

๐Ÿ’ป Technology Skills

โ€ข

Project management software

โ€ข

Accounting software

โ€ข

Data base user interface and query software

โ€ข

Calendar and scheduling software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Administration and Management

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$59K
+$13K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure60/100
+22

National avg: 38/100

Projected Growth2.5%
-1.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K51%
Political Scientists25$139K63%
Occupational Health and Safety Specialists and Technicians26$79K61%