Headline risk
2%
Very Low RiskFirst-line supervisors of farming, fishing, and forestry workers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 59,330
Employment 2024
65.4K
Projected Change (2024–34)
2.5%
Openings (2024–34)
8.5K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted. AI use: 0%
- 2. Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations. AI use: 0%
- 3. Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped. AI use: 0%
- 4. Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment. AI use: 0%
- 5. Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters. AI use: 0%
- 6. Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures. AI use: 0%
Technologies
Work context
Worker profile
Median age 44.5 · 50K employed
Under 25: 10% · 25–54: 58% · 55+: 30%
Related
Source coverage
10/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.