Fishing and hunting workers
SOC Code: 45-3031
Fishing and hunting workers carries a 30% AI exposure score (Medium automation risk) and -4.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 21,900 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 30% AI exposure, Fishing and hunting workers sits 7 points below the 37.2% average across 832 U.S. occupations - more exposed than 30% of them. Most of its core tasks still require human judgment.
Career outlook score
40/100
Fishing and hunting workers, weighted across 2 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 N/A N/A
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -4.6%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) B 30% 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 Fishing and hunting workers in the Medium band.
Credential × growth standing
Open entry with non-declining BLS pace
Fishing and hunting workers keeps an No credential bar (109 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where Fishing and hunting 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 Fishing and hunting workers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
30% Lower than most lower than 70% 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.
Fishing and hunting workers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Fishing and hunting 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
Fishing and hunting 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 45-3031) code. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Fishing and hunting 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 Fishing and hunting workers. Public companies with meaningful exposure to this occupation, such as Corteva, Inc. and Cal-Maine Foods Inc, inherit a share of the same automation risk through their industry classification. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Steer vessels and operate navigational instruments.
- 2. Scrape fat, blubber, or flesh from skin sides of pelts with knives or hand scrapers.
- 3. Remove catches from fishing equipment and measure them to ensure compliance with legal size.
- 4. Patrol trap lines or nets to inspect settings, remove catch, and reset or relocate traps.
- 5. Direct fishing or hunting operations, and supervise crew members.
- 6. Locate fish, using fish-finding equipment.
- 7. Interpret weather and vessel conditions to determine appropriate responses.
- 8. Kill or stun trapped quarry, using clubs, poisons, guns, or drowning methods.
- 9. Travel on foot, by vehicle, or by equipment such as boats, snowmobiles, helicopters, snowshoes, or skis to reach hunting areas.
- 10. Maintain and repair trapping equipment.
Key Skills Required
- Critical Thinking
- Coordination
- Judgment and Decision Making
- Speaking
- Monitoring
- Time Management
- Reading Comprehension
- Active Listening
- Learning Strategies
- Instructing
Knowledge Areas
- Geography
- Mechanical
- Customer and Personal Service
- Law and Government
- Biology
- Sales and Marketing
- English Language
- Education and Training
- Computers and Electronics
- Public Safety and Security
Frequently Asked Questions
Will AI replace Fishing and hunting workers?
Fishing and hunting workers has an AI exposure score of 30%, 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 Fishing and hunting workers?
According to BLS Employment Projections 2024-2034, Fishing and hunting workers is projected to decline by 4.6% over the decade. Current employment stands at approximately 21,900 workers.
What skills are needed for Fishing and hunting workers?
Key skills for Fishing and hunting workers include Critical Thinking, Coordination, Judgment and Decision Making, and others. Typical entry-level education is No formal educational credential.
How much do Fishing and hunting workers earn?
Wage data for Fishing and hunting workers varies by region, experience, and employer. The Bureau of Labor Statistics publishes median wage estimates in its Occupational Employment and Wage Statistics program.
What education is required for Fishing and hunting workers?
The typical entry-level education for Fishing and hunting workers is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Fishing and hunting workers?
Public companies with significant Fishing and hunting workers workforce shares include Corteva, Inc., Cal-Maine Foods Inc. These employers are mapped by industry classification (SIC/NAICS) to BLS occupation-industry employment distributions. See the full employer rankings for AI displacement risk grades.
Employers with High AI Exposure in This Occupation Group
Public companies whose industry occupation mix includes a significant share of Fishing and hunting workers roles.
| Company | AI Grade | Risk Score |
|---|---|---|
| Corteva, Inc. | A | 32.3% |
| Cal-Maine Foods Inc | A | 32.3% |
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 Fishing and hunting 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 (30% here).
- Actors · AI exposure 30%
- Aircraft service attendants · AI exposure 30%
- Butchers and meat cutters · AI exposure 30%
- Calibration technologists and technicians · AI exposure 30%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-4.6% here).
- Lighting technicians · growth -4.6%
- Tailors, dressmakers, and custom sewers · growth -4.5%
- Dental laboratory technicians · growth -4.7%
- Forest and conservation workers · growth -4.7%
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 Fishing and hunting workers' numbers above to compare, not just read in isolation.
- Compare Fishing and hunting 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).