First-line supervisors of farming, fishing, and forestry workers
SOC Code: 45-1011
First-line supervisors of farming, fishing, and forestry workers carries a 32% AI exposure score (Medium automation risk), with a median annual wage of $59,330 and +2.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 65,400 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
First-line supervisors of farming, fishing, and forestry workers (SOC 45-1011) carries an AI exposure score of 32%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 65,400 workers in this occupation in 2024, and projects a +2.5% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $59,330, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus Less than 5 years of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes First-line supervisors of farming, fishing, and forestry workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters.
- 2. Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped.
- 3. Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations.
- 4. Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted.
- 5. Observe fish and beds or ponds to detect diseases, monitor fish growth, determine quality of fish, or determine completeness of harvesting.
- 6. Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations.
- 7. Treat animal illnesses or injuries, following experience or instructions of veterinarians.
- 8. Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment.
- 9. Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures.
- 10. Confer with managers to evaluate weather or soil conditions, to develop plans or procedures, or to discuss issues such as changes in fertilizers, herbicides, or cultivating techniques.
Key Skills Required
- Critical Thinking
- Coordination
- Speaking
- Monitoring
- Reading Comprehension
- Time Management
- Management of Personnel Resources
- Active Listening
- Social Perceptiveness
- Instructing
Knowledge Areas
- Administration and Management
- Production and Processing
- Customer and Personal Service
- English Language
- Mechanical
- Education and Training
- Biology
- Food Production
- Mathematics
- Public Safety and Security
Frequently Asked Questions
Will AI replace First-line supervisors of farming, fishing, and forestry workers?
First-line supervisors of farming, fishing, and forestry workers has an AI exposure score of 32%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for First-line supervisors of farming, fishing, and forestry workers?
According to BLS Employment Projections 2024-2034, First-line supervisors of farming, fishing, and forestry workers is projected to grow by 2.5% over the decade. Current employment stands at approximately 65,400 workers.
What skills are needed for First-line supervisors of farming, fishing, and forestry workers?
Key skills for First-line supervisors of farming, fishing, and forestry workers include Critical Thinking, Coordination, Speaking, and others. Typical entry-level education is High school diploma or equivalent.
How much do First-line supervisors of farming, fishing, and forestry workers earn?
The median annual wage for First-line supervisors of farming, fishing, and forestry workers is $59,330, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for First-line supervisors of farming, fishing, and forestry workers?
The typical entry-level education for First-line supervisors of farming, fishing, and forestry workers is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ First-line supervisors of farming, fishing, and forestry workers?
First-line supervisors of farming, fishing, and forestry workers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Related Occupations
Career Guides
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).