As of August 2026,
First-Line Supervisors of Farming, Fishing, and Forestry Workers has an AI-exposure score of 51/100
(Elevated exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
First-Line Supervisors of Farming, Fishing, and Forestry Workers
More exposed than 34% of the roles we track. Median pay ~US$59,320. About 8,500 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
Will AI replace First-Line Supervisors of Farming, Fishing, and Forestry Workers?
No exposure score can predict whether AI will replace this role. The 51/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Farming & Forestry roles
What this role usually involves
Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - First-Line Supervisors of Farming, Fishing, and Forestry Workers, SOC 45-1011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
First-Line Supervisors of Farming, Fishing, and Forestry Workers tasks, by AI exposure
- Read inventory records, customer orders, or shipping schedules to determine required activities.
- Communicate with forestry personnel regarding forest harvesting or forest management plans, procedures, or schedules.
- Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations.
- 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.
- Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations.
- Inspect crops, fields, or plant stock to determine conditions and need for cultivating, spraying, weeding, or harvesting.
We analyzed all 20 First-Line Supervisors of Farming, Fishing, and Forestry Workers tasks - 6 automatable, 13 augmentable and 1 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.
Read inventory records, customer orders, or shipping schedules to determine required activities.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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First-Line Supervisors of Farming, Fishing, and Forestry Workers - median pay by US state (BLS OEWS, USD)
Median annual wage, in USD. US national: US$59,320. More states are being added.