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)
At 32% AI exposure, First-line supervisors of farming, fishing, and forestry workers sits 5 points below the 37.2% average across 832 U.S. occupations - more exposed than 37% of them. Most of its core tasks still require human judgment.
Career outlook score
54/100
First-line supervisors of farming, fishing, and forestry workers, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage C- $59,330
Annual median wage, percentile rank vs all tracked occupations
- Projected growth C- +2.5%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) C+ 32% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with First-line supervisors of farming, fishing, and forestry workers in the Medium band.
Credential × growth standing
Open entry with non-declining BLS pace
First-line supervisors of farming, fishing, and forestry workers keeps an HS / some college bar (333 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where First-line supervisors of farming, fishing, and forestry workers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where First-line supervisors of farming, fishing, and forestry workers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
32% Lower than most lower than 63% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
First-line supervisors of farming, fishing, and forestry workers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. First-line supervisors of farming, fishing, and forestry workers is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
First-line supervisors of farming, fishing, and forestry workers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the 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 employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 45-1011) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets First-line supervisors of farming, fishing, and forestry workers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
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.
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.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for First-line supervisors of farming, fishing, and forestry workers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (32% here).
- Architecture teachers, postsecondary · AI exposure 32%
- Area, ethnic, and cultural studies teachers, postsecondary · AI exposure 32%
- Audiovisual equipment installers and repairers · AI exposure 32%
- Bus drivers, school · AI exposure 32%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+2.5% here).
- Building cleaning workers, all other · growth +2.5%
- Dietetic technicians · growth +2.5%
- Education administrators, all other · growth +2.5%
- First-line supervisors of housekeeping and janitorial workers · growth +2.5%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 10 occupations with a comparable automation-risk profile.
What to do with this
Use First-line supervisors of farming, fishing, and forestry workers' numbers above to compare, not just read in isolation.
- Compare First-line supervisors of farming, fishing, and forestry workers side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
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).